Nuclear power station unit parameter intelligent diagnosis method, system and equipment and storage medium

Abstract

The invention provides an intelligent diagnosis method, system and device for nuclear power plant unit parameters and a storage medium, and belongs to the technical field of nuclear power. The method comprises the steps of obtaining historical operation parameters of unit equipment; determining a pre-triggering threshold value according to the historical operation parameters; obtaining current actual operation parameters of the unit equipment; and determining a parameter diagnosis result of the unit equipment according to the current actual operation parameter and a pre-triggering threshold value. According to the method, the pre-triggering threshold value is determined based on the historical operation parameters of actual operation of the unit equipment, so that the pre-triggering threshold value is set between the normal operation parameters and the fault parameters. The current actual operation parameters of the unit equipment obtained in real time are compared with the pre-triggering threshold value, whether the parameter diagnosis result of the unit equipment is abnormal or not is determined, early warning information can be triggered in advance, an operator can find equipment abnormity in time, intervention and response time is reserved for the operator, and the unit equipment is protected in time.

Description

Technical Field

[0001] The present application belongs to the field of nuclear power technology, and in particular relates to a method, system, device and storage medium for intelligent diagnosis of nuclear power plant unit parameters. Background Art

[0002] A nuclear power plant is a power plant that uses the energy released by nuclear fission or nuclear fusion reactions to generate electricity. A nuclear power plant includes chemical and volume control systems, waste heat removal systems, equipment cooling water systems, ventilation and air conditioning systems, compressed air systems, nuclear sampling systems, radioactive waste treatment systems, instrumentation and control systems, and power supply systems. The units and equipment between the various systems in a nuclear power plant work together to ensure the safe and reliable operation of the nuclear power plant. Among them, monitoring and controlling the operating parameters of the units in a nuclear power plant is of great significance, which can ensure nuclear safety, optimize operating efficiency, and protect equipment.

[0003] The traditional method is to design parameter thresholds based on theoretical data in the design phase before the operation of the nuclear power plant, and to issue alarms for abnormal unit operation based on the parameter thresholds. However, the parameter thresholds for alarms in the traditional method are too large compared to the actual unit operating parameters, which results in abnormal unit equipment parameters being discovered late, leaving insufficient time for operators to intervene and respond, resulting in the continuous deterioration of the unit status and the inability to protect the nuclear power plant unit equipment in a timely manner. Summary of the invention

[0004] The embodiments of the present application provide a method, system, device and storage medium for intelligent diagnosis of nuclear power plant unit parameters, which can solve the problem of being unable to timely protect unit equipment due to excessively large margin settings for alarm reminders in traditional methods.

[0005] The present application provides a method for intelligent diagnosis of parameters of a nuclear power plant unit, comprising:

[0006] Obtain historical operating parameters of unit equipment;

[0007] Determining a pre-trigger threshold value according to the historical operating parameters;

[0008] Obtaining current actual operating parameters of the unit equipment;

[0009] A parameter diagnosis result of the unit equipment is determined according to the current actual operating parameter and the pre-trigger threshold.

[0010] In one embodiment, there are multiple units, and the step of determining the parameter diagnosis result of the unit according to the current actual operating parameter and the pre-trigger threshold comprises:

[0011] Determine the maximum actual operating parameter among the multiple current actual operating parameters corresponding to the multiple unit devices; the multiple unit devices are used to measure the same type of first type operating parameters;

[0012] According to the maximum actual operating parameter and the first pre-trigger threshold, parameter diagnosis results of the plurality of equipment units are determined.

[0013] In one embodiment, there are multiple units, and the step of determining the parameter diagnosis result of the unit according to the current actual operating parameter and the pre-trigger threshold comprises:

[0014] Determine the minimum actual operating parameter among the multiple current actual operating parameters corresponding to the multiple unit devices; the multiple unit devices are used to measure the same type of second type operating parameters;

[0015] According to the minimum actual operating parameter and the second pre-trigger threshold, parameter diagnosis results of the plurality of equipment units are determined.

[0016] In one embodiment, there are multiple units, and the step of determining the parameter diagnosis result of the unit according to the current actual operating parameter and the pre-trigger threshold comprises:

[0017] The plurality of current actual operating parameters corresponding to the plurality of unit devices are grouped to form a plurality of measurement parameter groups; the plurality of unit devices are used to measure the third type of operating parameters of the same type;

[0018] Calculating the measurement difference of each measurement parameter group to obtain a plurality of measurement difference values;

[0019] Determining a maximum measurement difference and a minimum measurement difference among the plurality of measurement differences;

[0020] The parameter diagnosis results of the plurality of the unit devices are determined according to the maximum measurement difference and the first pre-trigger deviation threshold, or the parameter diagnosis results of the plurality of the unit devices are determined according to the minimum measurement difference and the first pre-trigger deviation threshold.

[0021] In one embodiment, there are multiple units, and the step of determining the parameter diagnosis result of the unit according to the current actual operating parameter and the pre-trigger threshold comprises:

[0022] Determine the maximum demand opening signal and the minimum demand opening signal among the multiple current actual operating parameters corresponding to the multiple unit equipment; the unit equipment is used to adjust the water supply flow according to the demand opening signal;

[0023] Calculating a demand opening difference between the maximum demand opening signal and the minimum demand opening signal;

[0024] According to the required opening difference and the second pre-trigger deviation threshold, parameter diagnosis results of the plurality of equipment units are determined.

[0025] In one embodiment, the method further comprises:

[0026] According to the maximum demand opening signal and the opening pre-trigger threshold, parameter diagnosis results of the plurality of unit equipment are determined.

[0027] In one embodiment, the step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameter and the pre-trigger threshold comprises:

[0028] Calculating the opening deviation value between the actual opening signal and the required opening signal in the current actual operating parameters of the unit equipment; the unit equipment is used to adjust the water supply flow rate according to the required opening signal and the actual opening signal;

[0029] A parameter diagnosis result of the unit equipment is determined according to the opening deviation value and a third pre-trigger deviation threshold.

[0030] In one embodiment, after the step of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0031] Obtaining historical operating parameters of associated equipment of the unit equipment;

[0032] Determining a parameter relationship model according to the historical operating parameters of the associated equipment and the historical operating parameters of the unit equipment;

[0033] The parameter diagnosis result of the unit equipment is determined according to the current actual operating parameters and the parameter relationship model.

[0034] In one embodiment, after the step of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0035] Obtain the current working status of the associated equipment of the unit equipment;

[0036] The parameter diagnosis result of the unit equipment is determined according to the current working state of the associated equipment, the current actual operating parameter and the third pre-trigger threshold.

[0037] In one embodiment, after the step of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0038] Acquire the current working state of the unit equipment and the current actual operating parameters and associated pre-trigger thresholds of the associated equipment of the unit equipment;

[0039] The parameter diagnosis result of the unit equipment is determined according to the current working state of the unit equipment, the current actual operating parameters of the associated equipment and the associated pre-trigger threshold of the associated equipment.

[0040] In one embodiment, there are multiple units, and after the step of obtaining the current actual operating parameters of the unit, the method further includes:

[0041] Acquire the current working status of each of the plurality of unit devices; the plurality of unit devices are used to be all in the on state when the nuclear power plant is in operation;

[0042] According to the current working status of each of the plurality of machine group devices, parameter diagnosis results of the plurality of machine group devices are determined.

[0043] In one embodiment, after the step of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0044] Acquiring the current working status of each of the plurality of unit devices; at least one of the plurality of unit devices is used to be in an on state when the nuclear power plant is in operation;

[0045] According to the current working status of each of the plurality of machine group devices, parameter diagnosis results of the plurality of machine group devices are determined.

[0046] The present application provides a nuclear power plant unit parameter intelligent diagnosis system, comprising:

[0047] A historical data acquisition module is used to obtain historical operating parameters of the unit equipment;

[0048] A threshold determination module, used to determine a pre-trigger threshold according to the historical operating parameters;

[0049] A real-time data acquisition module, used to obtain the current actual operating parameters of the unit equipment;

[0050] The diagnosis result determination module is used to determine the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold.

[0051] The present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any one of the above embodiments when executing the computer program.

[0052] The present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above embodiments is implemented.

[0053] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0054] The intelligent diagnosis method for nuclear power plant unit parameters provided by the present application determines the pre-trigger threshold value based on the historical operating parameters of the actual operation of the unit equipment, so that the pre-trigger threshold value is set between the normal operating parameters and the fault parameters. The current actual operating parameters of the unit equipment obtained in real time are compared with the pre-trigger threshold value to determine whether the parameter diagnosis result of the unit equipment is abnormal. Early warning information can be triggered in advance, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond, and timely protect the unit equipment, thereby avoiding continuous deterioration of the unit equipment to ensure that the nuclear reactor is always in a safe and controllable state.

[0055] The intelligent diagnosis method for nuclear power plant unit parameters provided by the present application is based on the actual historical operating parameters and current actual operating parameters of the nuclear power plant, and combined with the concept of preventing shutdown and reactor shutdown, to perform parameter warning and equipment fault diagnosis on different types of instrumentation, pumps, valves and other unit equipment, and obtain parameter diagnosis results of the unit equipment, so that the operator can promptly discover equipment abnormalities and respond quickly. Through the intelligent diagnosis method for nuclear power plant unit parameters provided by the present application, the operation mode of the nuclear power plant unit equipment from complete unloading to full power operation is realized, and the whole process of unit start and stop can be monitored. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0057] Figure 1 It is a schematic diagram of the steps of the intelligent diagnosis method of nuclear power plant unit parameters provided by the present application;

[0058] Figure 2 It is a structural schematic diagram of the intelligent diagnosis system for nuclear power plant unit parameters provided in this application. DETAILED DESCRIPTION

[0059] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0060] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0061] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0062] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0063] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0064] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0065] See also Figure 1 The present application provides a method for intelligent diagnosis of parameters of a nuclear power plant unit, comprising:

[0066] Step S10, obtaining historical operating parameters of the unit equipment;

[0067] Step S20, determining a pre-trigger threshold value according to historical operating parameters;

[0068] Step S30, obtaining the current actual operating parameters of the unit equipment;

[0069] Step S40, determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold.

[0070] In this embodiment, the unit equipment can be one or a combination of the steam pressure, containment pressure, power measuring instrument, main pump speed, flow, pressurizer pressure, pressurizer liquid level, steam generator water level, main coolant pump, waste heat removal pump, condensate pump, feed water pump and other equipment in the nuclear power plant. The historical operating parameters are the historical parameters of the actual operation of the nuclear power plant, which characterize the actual normal operation, failure and change trend of the unit equipment. Compared with the theoretical data in the design stage, it can better reflect the real operation of the unit equipment. According to the historical operating parameters, the normal operating parameters and fault parameters of the corresponding unit equipment can be obtained. According to the normal operating parameters and fault parameters, the pre-trigger threshold is determined. The range of the pre-trigger threshold is between the normal operating parameters and the fault parameters, which can trigger the early warning information in advance, leaving sufficient time for the operator to intervene and respond, and protect the unit equipment in time.

[0071] Each unit equipment corresponds to a current actual operating parameter. The current actual operating parameter reflects the actual operating parameter of the unit equipment at the current moment, and can reflect the current working status of the unit equipment. The current actual operating parameter is compared with the pre-trigger threshold for judgment. The parameter diagnosis results include normal unit equipment and abnormal unit equipment. The intelligent diagnosis method for nuclear power plant unit parameters provided in the present application determines the pre-trigger threshold based on the historical operating parameters of the actual operation of the unit equipment, so that the pre-trigger threshold is set between the normal operating parameters and the fault parameters. The current actual operating parameters of the unit equipment obtained in real time are compared with the pre-trigger threshold to determine whether the parameter diagnosis result of the unit equipment is abnormal. Early warning information can be triggered in advance, so that the operator can discover the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond, and protect the unit equipment in time, thereby avoiding continuous deterioration of the unit equipment to ensure that the nuclear reactor is always in a safe and controllable state.

[0072] The intelligent diagnosis method for nuclear power plant unit parameters provided by the present application is based on the actual historical operating parameters and current actual operating parameters of the nuclear power plant, and combined with the concept of preventing shutdown and reactor shutdown, to perform parameter warning and equipment fault diagnosis on different types of instrumentation, pumps, valves and other unit equipment, and obtain parameter diagnosis results of the unit equipment, so that the operator can promptly discover equipment abnormalities and respond quickly. Through the intelligent diagnosis method for nuclear power plant unit parameters provided by the present application, the operation mode of the nuclear power plant unit equipment from complete unloading to full power operation is realized, and the whole process of unit start and stop can be monitored.

[0073] In one embodiment, there are multiple unit devices. In step S40, the step of determining the parameter diagnosis result of the unit device according to the current actual operating parameters and the pre-trigger threshold value includes:

[0074] Step S411, determining the maximum actual operating parameter among multiple current actual operating parameters of multiple unit equipment; multiple unit equipment is used to measure the same type of first type operating parameters;

[0075] Step S412: determining parameter diagnosis results of multiple unit equipment according to the maximum actual operating parameter and the first pre-trigger threshold.

[0076] In this embodiment, each unit equipment corresponds to a current actual operating parameter. Multiple unit equipment measures the same type of first-category operating parameters. The first-category operating parameters are parameters that are less correlated with the current working status of other unit equipment in the nuclear power plant, and have a maximum value limit, that is, they are not allowed to be higher than a certain value during operation. Multiple unit equipment measures the same type of first-category operating parameters, which can be understood as multiple unit equipment measuring pressure operating parameters, or multiple unit equipment measuring temperature operating parameters, or multiple unit equipment measuring speed operating parameters, or multiple unit equipment measuring flow operating parameters, etc. By dividing the operating parameters into different types, the same type of operating parameters can be centrally diagnosed for abnormalities, so that the diagnosis time of the intelligent diagnosis method for nuclear power plant unit parameters provided by this application is shortened, and abnormal equipment can be located more efficiently and quickly, so that the operator can promptly discover equipment abnormalities and respond quickly.

[0077] The maximum actual operating parameter is screened out from the multiple current actual operating parameters obtained. The first pre-trigger threshold can be understood as the threshold corresponding to the maximum actual operating parameter that can trigger the early warning information corresponding to the first type of operating parameter. The maximum actual operating parameter is compared with the first pre-trigger threshold to determine the parameter diagnosis results of multiple unit equipment. If the maximum actual operating parameter is less than the first pre-trigger threshold, the parameter diagnosis results of multiple unit equipment are normal, and there is no need to send an early warning signal to the operator. If the maximum actual operating parameter is greater than or equal to the first pre-trigger threshold, the parameter diagnosis results of multiple unit equipment are abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving enough time for the operator to intervene and respond to find abnormal equipment from multiple unit equipment, and then protect the unit equipment. By combining multiple current actual operating parameters of multiple unit equipment in this embodiment, and screening out the maximum actual operating parameter, and comparing it with the first pre-trigger threshold, the area for locating abnormal equipment can be narrowed, and it can be quickly and efficiently located in a small range, solving the problem of being unable to locate abnormal equipment in a timely and accurate manner due to piecemeal alarms.

[0078] In one embodiment, multiple unit devices are used to measure the same type of first-category operating parameters, which are pressure operating parameters. The value range of the first pre-trigger threshold can be 57kPa to 70kPa. In one embodiment, the first pre-trigger threshold can be 60kPa, which is set between the normal value of 57kPa and the alarm value of 70kPa, and can remind the operator in advance that there is an abnormality in the unit equipment. The value of the first pre-trigger threshold can be set according to the actual application scenario. The specific value is not limited in this application and can be adjusted adaptively.

[0079] In one embodiment, in step S40, the step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold value includes:

[0080] Step S421, determining the minimum actual operating parameter among multiple current actual operating parameters of multiple unit equipment; multiple unit equipment is used to measure the same type of second type operating parameters;

[0081] Step S422, determining parameter diagnosis results of multiple unit equipment according to the minimum actual operating parameter and the second pre-trigger threshold.

[0082] In this embodiment, the second type of operating parameters are parameters that are less correlated with the current working state of other units of the nuclear power plant, and have a minimum value limit, that is, they are not allowed to be lower than a certain value during operation. Multiple units measure the same type of second type operating parameters, which can be understood as multiple units measuring pressure operating parameters, or multiple units measuring temperature operating parameters, or multiple units measuring speed operating parameters, or multiple units measuring flow operating parameters, etc. By dividing the operating parameters into different types, the same type of operating parameters can be centrally diagnosed for abnormalities, so that the diagnosis time of the intelligent diagnosis method for nuclear power plant unit parameters provided by this application is shortened, and abnormal equipment can be located more efficiently and quickly, so that the operator can promptly discover equipment abnormalities and respond quickly.

[0083] The minimum actual operating parameter among the multiple current actual operating parameters of the multiple units of equipment obtained. The second type of pre-trigger threshold can be understood as the threshold corresponding to the minimum actual operating parameter that can trigger the warning information corresponding to the second type of operating parameter. The minimum actual operating parameter is compared with the second pre-trigger threshold to determine the parameter diagnosis results of the multiple units of equipment. If the minimum actual operating parameter is greater than the second pre-trigger threshold, the parameter diagnosis results of the multiple units of equipment are normal, and there is no need to send a warning signal to the operator. If the minimum actual operating parameter is less than or equal to the second pre-trigger threshold, the parameter diagnosis results of the multiple units of equipment are abnormal, and a warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving enough time for the operator to intervene and respond to find the abnormal equipment from multiple units of equipment, and then protect the unit equipment. By combining multiple current actual operating parameters of multiple units of equipment in this embodiment, and screening out the minimum actual operating parameter, and comparing it with the second pre-trigger threshold, the area of ​​​​the abnormal equipment can be narrowed, and it can be quickly and efficiently located in a small range, solving the problem of being unable to locate the abnormal equipment in time and accurately due to the alarm in the piece.

[0084] In one embodiment, an OR operation is performed between the parameter diagnosis results of multiple unit equipment determined according to the maximum actual operating parameter and the first pre-trigger threshold in step S412 and the parameter diagnosis results of multiple unit equipment determined according to the minimum actual operating parameter and the second pre-trigger threshold in step S422 to determine the final parameter diagnosis results of the multiple unit equipment.

[0085] In one embodiment, after the step S30 of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0086] Step S511, obtaining the current working status of the associated equipment of the unit equipment;

[0087] Step S512, determining the parameter diagnosis result of the unit equipment according to the current working state of the associated equipment, the current actual operating parameters and the third pre-trigger threshold.

[0088] In this embodiment, the unit equipment is associated with the current working state of other unit equipment in the nuclear power plant. For example, the pump equipment is associated with the speed meter equipment. The current working state includes the shutdown state and the operating state. The parameter diagnosis of the speed meter equipment needs to be judged in combination with the working state of the associated pump equipment. The third pre-trigger threshold can be understood as the threshold corresponding to the current actual operating parameter that can trigger the early warning information corresponding to the unit equipment that is associated with the current working state of other unit equipment in the nuclear power plant. Thus, in the current working state of the associated equipment, the current actual operating parameter is compared with the third pre-trigger threshold to determine the parameter diagnosis result of the unit equipment. In one embodiment, when the associated pump equipment is in the shutdown state, the current actual operating parameter of the speed meter equipment is always 0rpm, which is always less than the third pre-trigger threshold. When the associated pump equipment is in the operating state, the current actual operating parameter of the speed meter equipment has a value greater than 0rpm, and it needs to be further compared with the third pre-trigger threshold to determine the parameter diagnosis result of the speed meter equipment.

[0089] Under the current working state of the associated equipment, if the current actual operating parameter of the unit equipment is less than the third pre-trigger threshold, the parameter diagnosis result of the unit equipment is normal. If the current actual operating parameter of the unit equipment is greater than or equal to the third pre-trigger threshold, the parameter diagnosis result of the unit equipment is abnormal. Furthermore, according to the current working state of the associated equipment, the current actual operating parameter and the third pre-trigger threshold, the parameter diagnosis result of the unit equipment can be determined. The diagnostic method provided in this embodiment fully integrates the working state of the associated equipment, further assists in the unit parameter diagnosis from the perspective of the associated equipment, and improves the accuracy of the diagnostic method, thereby better protecting the nuclear power plant unit equipment to ensure that the nuclear reactor is always in a safe and controllable state.

[0090] In one embodiment, the value range of the third pre-trigger threshold is 1300 rpm to 1600 rpm. In one embodiment, the value range of the third pre-trigger threshold is 1450 rpm. The value of the third pre-trigger threshold can be set according to the actual application scenario. The specific value is not limited in this application and can be adjusted adaptively.

[0091] In one embodiment, in step S512, the current working state of the associated device, the current actual operating parameters and the judgment value of the third pre-trigger threshold are ANDed to determine the parameter diagnosis result of the unit equipment.

[0092] In one embodiment, in step S40, the step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold value includes:

[0093] Step S431, grouping multiple current actual operating parameters of multiple unit equipment to form multiple measurement parameter groups; multiple unit equipment is used to measure the same type of third type operating parameters;

[0094] Step S432, calculating the measurement difference of each measurement parameter group;

[0095] Step S433, determining the maximum measurement difference and the minimum measurement difference among the multiple measurement differences;

[0096] Step S434, determining parameter diagnosis results of multiple unit devices according to the maximum measurement difference and the first pre-trigger deviation threshold, or determining parameter diagnosis results of multiple unit devices according to the minimum measurement difference and the first pre-trigger deviation threshold.

[0097] In this embodiment, multiple unit devices are used to measure the same type of third-category operating parameters. The third-category operating parameters can be understood as operating parameters corresponding to instruments that can achieve the same measurement function. Multiple unit devices can be redundant instruments with the same measurement function, such as nuclear power measurement instruments, etc., which participate in the control of temperature control rods. By diagnosing the deviations between multiple unit devices, the fault problems of a single unit device can be discovered in time. Multiple current actual operating parameters are grouped to form multiple measurement parameter groups. Each measurement parameter group includes two current actual operating parameters, and the difference between the two current actual operating parameters is calculated to obtain the measurement difference corresponding to each measurement parameter group, thereby obtaining multiple measurement difference values ​​corresponding to the grouping of multiple unit devices. The maximum measurement difference and the minimum measurement difference are selected from the multiple measurement difference values. The maximum measurement difference represents the maximum deviation value among multiple current actual operating parameters. The minimum measurement difference represents the minimum deviation value among multiple current actual operating parameters. The maximum measurement difference is compared with the first pre-trigger deviation threshold, or the minimum measurement difference is compared with the first pre-trigger deviation threshold to determine the parameter diagnosis results of multiple unit devices. The first pre-trigger deviation threshold may be understood as a threshold corresponding to a measurement difference value of the third type of operating parameter that can trigger early warning information.

[0098] Through the method provided in this embodiment, the third type of operating parameters measured of the same type are combined together for grouping and measurement difference calculation, and the maximum measurement difference and the minimum measurement difference are determined and compared with the first pre-trigger deviation threshold respectively. This can narrow the area where abnormal equipment is located, and quickly and efficiently locate it within a small range, solving the problem of being unable to locate abnormal equipment in a timely and accurate manner due to large-scale alarms.

[0099] In one embodiment, since there may be positive and negative numbers when performing difference calculations on multiple current actual operating parameters, the first pre-trigger deviation threshold may be positive or negative. When the maximum measured difference is a positive value, the first pre-trigger deviation threshold is also a positive value. If the maximum measured difference is greater than or equal to the positive first pre-trigger deviation threshold, the parameter diagnosis results of multiple unit equipment are abnormal, and a warning signal is issued to the operator. When the minimum measured difference is a negative value, the first pre-trigger deviation threshold is also a negative value. If the minimum measured difference is less than or equal to the negative first pre-trigger deviation threshold, the parameter diagnosis results of multiple unit equipment are abnormal, and a warning signal is issued to the operator.

[0100] In one embodiment, since the power of the unit operates between 0 and 100%, setting a single threshold value cannot characterize the failure of the nuclear power measuring instrument, and the normal fluctuation range of the nuclear power measuring instrument is +0.5% to +2.5%. In one embodiment, the normal fluctuation range of the nuclear power measuring instrument is +2%. Accordingly, the range of the first pre-trigger deviation threshold corresponding to the multiple nuclear power measuring instruments is set to +2.5% to +4% or -4% to -2.5% to detect the failure of the instrument in time. In one embodiment, the first pre-trigger deviation threshold is +3% or -3%.

[0101] In one embodiment, when the maximum measurement difference is compared with the positive first pre-trigger deviation threshold, or the minimum measurement difference is compared with the negative first pre-trigger deviation threshold to determine the parameter diagnosis results of multiple unit equipment, the comparison result of the maximum measurement difference with the positive first pre-trigger deviation threshold and the comparison result of the minimum measurement difference with the negative first pre-trigger deviation threshold can be ORed to determine the parameter diagnosis results of multiple unit equipment.

[0102] In one embodiment, in step S40, the step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold value includes:

[0103] Step S441, determining a maximum demand opening signal and a minimum demand opening signal among multiple current actual operating parameters of multiple unit equipment; the unit equipment is used to adjust the water supply flow rate according to the demand opening signal;

[0104] Step S442, calculating the required opening difference between the maximum required opening signal and the minimum required opening signal;

[0105] Step S443, determining parameter diagnosis results of multiple unit equipment according to the required opening difference and the second pre-trigger deviation threshold.

[0106] In this embodiment, the unit equipment is used to adjust the feed water flow rate according to the demand opening signal. The unit equipment can be a regulating valve type device, such as the feed water flow main regulating valve ARE031 / 032 / 033VL of three steam generators. There are fluctuations in the opening between multiple unit equipment. The maximum demand opening signal and the minimum demand opening signal are screened out from the demand opening signals obtained for multiple unit equipment. The demand opening difference between the maximum demand opening signal and the minimum demand opening signal is calculated, and the demand opening difference is compared with the second pre-trigger deviation threshold. The second pre-trigger deviation threshold can be understood as the threshold corresponding to the demand opening difference that can trigger the early warning information corresponding to multiple regulating valve type devices. If the demand opening difference is less than the second pre-trigger deviation threshold, the parameter diagnosis results of multiple unit equipment are normal, and there is no need to send an early warning signal to the operator.

[0107] If the demand opening difference is greater than or equal to the second pre-trigger deviation threshold, the parameter diagnosis results of multiple unit equipment are abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond to find abnormal equipment from multiple unit equipment, and then protect the unit equipment. In this embodiment, multiple demand opening signals of multiple unit equipment are combined together, and the maximum demand opening signal and the minimum demand opening signal are screened out, and the demand opening difference is calculated and compared with the second pre-trigger deviation threshold, the area where the abnormal equipment is located can be narrowed, and it can be quickly and efficiently located in a small range, solving the problem of being unable to locate abnormal equipment in a timely and accurate manner due to block alarms.

[0108] In one embodiment, the second pre-trigger deviation threshold value may range from 8% to 13%. In one embodiment, the second pre-trigger deviation threshold value is set to 10%. When a control instrument failure or a valve mechanical failure occurs in a unit device, the required opening signal of the unit device may change abnormally. Furthermore, by having the required opening difference between multiple unit devices be greater than 10%, fault diagnosis can be performed in a timely manner.

[0109] In one embodiment, the method further comprises:

[0110] Step S444, determining parameter diagnosis results of multiple unit equipment according to the maximum demand opening signal and the opening pre-trigger threshold.

[0111] In this embodiment, the maximum demand opening signal is determined from multiple demand opening signals and compared with the opening pre-trigger threshold to determine whether multiple units are operating within the normal opening threshold range. The opening pre-trigger threshold can be understood as the threshold corresponding to the demand opening of the regulating valve device that can trigger the warning information.

[0112] If the maximum demand opening signal is less than the opening pre-trigger threshold, the parameter diagnosis results of multiple unit equipment are normal, and there is no need to send a warning signal to the operator. If the maximum demand opening signal is greater than or equal to the opening pre-trigger threshold, the parameter diagnosis results of multiple unit equipment are abnormal, and a warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond to find abnormal equipment from multiple unit equipment, and then protect the unit equipment. In this embodiment, multiple demand opening signals of multiple unit equipment are combined together, and the maximum demand opening signal is screened out and compared with the opening pre-trigger threshold. The area where the abnormal equipment is located can be narrowed, and it can be quickly and efficiently located within a small range, solving the problem of being unable to locate abnormal equipment in a timely and accurate manner due to block alarms.

[0113] In one embodiment, an OR operation is performed between the parameter diagnosis results of multiple unit equipment determined according to the demand opening difference and the second pre-trigger deviation threshold, and the parameter diagnosis results of multiple unit equipment determined according to the maximum demand opening signal and the opening pre-trigger threshold, so as to determine the final parameter diagnosis results of the multiple unit equipment.

[0114] In one embodiment, the range of the opening pre-trigger threshold can be 58% to 65%. In one embodiment, the opening pre-trigger threshold is set to 60%, and the specific value can also be adjusted according to the actual application scenario, and this application does not limit the specific value.

[0115] In one embodiment, in step S40, the step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold value includes:

[0116] Step S451, calculating the opening deviation value between the actual opening signal and the required opening signal in the current actual operating parameters of the computer group equipment; the unit equipment is used to adjust the water supply flow rate according to the required opening signal and the actual opening signal;

[0117] Step S452, determining the parameter diagnosis result of the unit equipment according to the opening deviation value and the third pre-trigger deviation threshold.

[0118] In this embodiment, each unit device corresponds to a demand opening signal and an actual opening signal. The unit device can be a regulating valve type device having a demand opening signal and an actual opening signal. The actual opening signal is measured by a regulating valve field positioner. The opening deviation value represents the deviation between the actual opening signal and the demand opening signal. When a jamming failure occurs in the unit device, a deviation will occur between the demand opening signal and the actual opening signal. The third pre-trigger deviation threshold can be understood as the threshold corresponding to the opening deviation of the regulating valve type device that can trigger the early warning information.

[0119] If the opening deviation value is less than the third pre-trigger deviation threshold, the parameter diagnosis result of the unit equipment is normal, and there is no need to send an early warning signal to the operator. If the opening deviation value is greater than or equal to the third pre-trigger deviation threshold, the parameter diagnosis result of the unit equipment is abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond to find the abnormal equipment from multiple unit equipment, and then protect the unit equipment.

[0120] In one embodiment, the third pre-trigger deviation threshold may range from 9% to 11%. In one embodiment, the third pre-trigger deviation threshold is set to 10%, and the specific value may also be adjusted according to the actual application scenario, and this application does not limit the specific value.

[0121] In one embodiment, after the step S30 of obtaining a plurality of current actual operating parameters of a plurality of the unit devices, the method further comprises:

[0122] Step S611, obtaining multiple current working states of multiple unit equipment; multiple unit equipment is used to be in a closed state when the nuclear power plant is running;

[0123] Step S612, determining parameter diagnosis results of multiple unit equipment according to multiple current working states.

[0124] In this embodiment, multiple unit equipment is used to be in a closed state when the nuclear power plant is in operation, such as a regulating valve that is normally closed under normal conditions. A regulating valve that is normally closed under normal conditions does not participate in the work flow of the system and is in a closed position to prevent the flow of a medium (which may be liquid, gas, etc.). A regulating valve that is normally closed under normal conditions will only be opened in an emergency, maintenance or debugging. When the valve instrumentation power supply loses power or gas, the valve may fail to open.

[0125] When a nuclear power plant is running, multiple units of equipment are in a closed state. If multiple current working states are all closed, it indicates that the parameter diagnosis results of multiple units of equipment are normal, and there is no need to send an early warning signal to the operator. When a nuclear power plant is running, multiple units of equipment are in a closed state. If one or more of the multiple current working states change from a closed state to an open state, it indicates that the parameter diagnosis results of multiple units of equipment are abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving the operator with sufficient time to intervene and respond to find abnormal equipment from multiple units of equipment, and then protect the unit equipment. By combining multiple devices in a closed state together to judge the current working state in this embodiment, the area for locating abnormal equipment can be narrowed, and the location can be quickly and efficiently located in a small range, solving the problem of being unable to locate abnormal equipment in a timely and accurate manner due to block alarms.

[0126] In one embodiment, in step S612, when determining parameter diagnosis results of multiple equipment units according to multiple current working states, AND operations are performed between the multiple current working states and negated to obtain the parameter diagnosis results of the multiple equipment units.

[0127] In one embodiment, after the step S30 of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0128] Step S711, obtaining historical operating parameters of associated equipment of the unit equipment;

[0129] Step S712, determining a parameter relationship model according to the historical operating parameters of the associated equipment and the historical operating parameters of the unit equipment;

[0130] Step S713, determining the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the parameter relationship model.

[0131] In this embodiment, the associated device is a device associated with the unit equipment. For example, when the primary circuit of a nuclear power plant is cooled, the valve needs to be opened manually to achieve the cooling of the primary circuit. If the valve opening is too large, the primary circuit will cool too quickly, causing the pressure to drop. The valve opening is associated with the primary circuit temperature. There is an association between the primary circuit valve RRA024 / 025VP of the nuclear power plant and the primary circuit temperature measuring device RCP28MT, which is an associated device. Modeling and analysis are performed based on the historical operating parameters of the associated device and the historical operating parameters of the unit equipment to obtain a parameter relationship model between the historical operating parameters of the associated device and the historical operating parameters of the unit equipment. In one embodiment, a mathematical modeling method can be used during modeling and analysis to establish an operating parameter relationship between the historical operating parameters of the associated device and the historical operating parameters of the unit equipment. The parameter relationship model characterizes the relationship between the historical operating parameters of the associated device and the historical operating parameters of the unit equipment, and the relationship between the current operating parameters of the associated device and the current operating parameters of the unit equipment can be inferred in turn. Furthermore, according to the current actual operating parameters and the parameter relationship model, the parameter diagnosis result of the unit equipment can be determined.

[0132] In one embodiment, the parameter relationship model between the primary circuit valve RRA024 / 025VP of the nuclear power plant and the primary circuit temperature measuring device RCP28MT is the circuit temperature of 130-0.5*RCP028MT. If the opening of the primary circuit valve RRA024 / 025VP is less than the circuit temperature of 130-0.5*RCP028MT, it indicates that the opening of the primary circuit valve RRA024 / 025VP is normal, and the parameter diagnosis result of the unit equipment is normal, and there is no need to send an early warning signal to the operator.

[0133] If the opening of the primary circuit valve RRA024 / 025VP is greater than or equal to the circuit temperature of 130-0.5*RCP028MT, it means that the opening of the primary circuit valve RRA024 / 025VP is too large, and the parameter diagnosis result of the unit equipment is abnormal. An early warning signal is sent to the operator, so that the operator can discover the equipment abnormality in time and respond quickly, leaving the operator with sufficient time to intervene and respond to reduce the valve opening, thereby protecting the unit equipment.

[0134] In one embodiment, after the step S30 of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0135] Step S811, obtaining the current working state of the unit equipment and the current actual operating parameters and associated pre-trigger thresholds of the associated equipment of the unit equipment;

[0136] Step S812, determining the parameter diagnosis result of the unit equipment according to the current working state of the unit equipment, the current actual operating parameters of the associated equipment and the associated pre-trigger threshold of the associated equipment.

[0137] In this embodiment, the multiple units running in parallel can be pump equipment APA102 / 202 / 302PO running in parallel. The pump equipment APA102 / 202 / 302PO runs in parallel, two of which are running normally and one is used for standby. The current working state of the unit equipment includes a shutdown state and an operating state. The associated pre-trigger threshold can be understood as the threshold corresponding to the operating parameter of the associated equipment that can trigger the early warning information. If the current working state of the unit equipment is a shutdown state, and the current actual operating parameter of the associated equipment is less than the associated pre-trigger threshold of the associated equipment, the parameter diagnosis result of the unit equipment is normal. If the current working state of the unit equipment is a shutdown state, and the current actual operating parameter of the associated equipment is greater than or equal to the associated pre-trigger threshold of the associated equipment, the parameter diagnosis result of the unit equipment is abnormal, and a warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond, thereby protecting the unit equipment.

[0138] If the current working state of the unit equipment is the running state, and the current actual operating parameters of the associated equipment are greater than the associated pre-trigger threshold of the associated equipment, it indicates that the parameter diagnosis result of the unit equipment is normal, and there is no need to send a warning signal to the operator. If the current working state of the unit equipment is the running state, and the current actual operating parameters of the associated equipment are less than or equal to the associated pre-trigger threshold of the associated equipment, the parameter diagnosis result of the unit equipment is abnormal, and a warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, leaving sufficient time for the operator to intervene and respond, thereby protecting the unit equipment. In this embodiment, according to the current working state of each unit equipment, the current actual operating parameters of the associated equipment, and the associated pre-trigger threshold of the associated equipment, two different abnormal diagnoses of multiple parallel-operating unit equipment are determined.

[0139] In one embodiment, when the pump equipment running in parallel stops operating, the outlet check valve leaks internally, causing part of the flow of the running pump to be bypassed, resulting in insufficient output of the pump equipment. The reverse of the pump equipment that is stopped will cause the pump current to be too large and unable to start, which can be diagnosed by the abnormal increase in the outlet pressure of the stopped pump. If the pump equipment APA102PO running in parallel is in a stopped state, and the pressure operating parameter of the outlet pressure gauge APA102MP of the associated equipment is greater than or equal to the associated pre-trigger threshold, the parameter diagnosis result is that the outlet check valve of the pump equipment is leaking internally. If the pump equipment APA102PO running in parallel is in an operating state, and the pressure of the outlet pressure gauge APA102MP of the associated equipment is less than or equal to the associated pre-trigger threshold, the parameter diagnosis result is that the pump equipment is operating abnormally, resulting in insufficient output.

[0140] In one embodiment, the range of the association pre-trigger threshold may be 6Mpa to 8Mpa. In one embodiment, the association pre-trigger threshold may be set to 7Mpa, and the specific value may also be adjusted according to the actual application scenario, and the specific value is not limited in this application.

[0141] In one embodiment, in step S812, an AND operation is performed between the current working state of each unit device, the current actual operating parameters of the associated device, and the judgment result of the associated pre-trigger threshold of the associated device to determine the parameter diagnosis result of the unit device. Further, an OR operation is performed between the parameter diagnosis results determined under different current working states of each unit device to determine the final parameter diagnosis results of multiple unit devices.

[0142] In one embodiment, after the step S30 of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0143] Step S911, obtaining the current working status of each unit device in the unit devices; at least one unit device among the multiple unit devices is used to be in the open state when the nuclear power plant is in operation;

[0144] Step S912: determining parameter diagnosis results of the multiple equipment units according to the current working status of each equipment unit in the multiple equipment units.

[0145] In this embodiment, at least one of the multiple units is used to be in an open state when the nuclear power plant is in operation. It can be understood that one of the multiple units is in an open state when the nuclear power plant is in operation, or multiple units are in an open state when the nuclear power plant is in operation. For example, when the nuclear power plant is in operation, the RRI side overpressure risk unit equipment of the residual heat removal system (RRA) of the nuclear power plant, the cooling and treatment system (PTR) of the reactor refueling pool and the spent fuel pool are in an open operation state. When personnel are prone to operating errors, these devices will lead to serious consequences, and it is necessary to set an early warning to remind the operator.

[0146] When multiple units are RRI side pump units (such as RRI001 / 003PO or RRI002 / 004PO) or PTR pump units, if at least one of the multiple current working states of the multiple units is in the open state, it indicates that the parameter diagnosis results of the multiple units are normal, and there is no need to send an early warning signal to the operator. If the multiple current working states of the multiple units are all closed, it indicates that the parameter diagnosis results of the multiple units are abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time, respond quickly, and protect the unit equipment.

[0147] In one embodiment, after step S30, the step of obtaining the current actual operating parameters of the unit equipment, the method further includes:

[0148] Step S921, obtaining the current working status of each unit device in the multiple unit devices; the multiple unit devices are used to be in the open state when the nuclear power plant is running;

[0149] Step S922: Determine parameter diagnosis results of the multiple equipment units according to the current working status of each equipment unit in the multiple equipment units.

[0150] In this embodiment, when multiple unit equipment is an RRI side valve type unit equipment (for example, RRI011 / 012 / 019 / 020 / 021 / 022VP), if all of the multiple current working states of the multiple unit equipment are in the open state, it indicates that the parameter diagnosis results of the multiple unit equipment are normal, and there is no need to send an early warning signal to the operator. If at least one of the multiple current working states of the multiple unit equipment is in the closed state, it indicates that the parameter diagnosis results of the multiple unit equipment are abnormal, and an early warning signal is sent to the operator, so that the operator can find the equipment abnormality in time and respond quickly, reminding the operator to pay attention to the overpressure risk on the RRI side of the RRA, and protect the unit equipment in time.

[0151] In one embodiment, in step S912, when the multiple unit devices are RRI side pump unit devices (such as RRI001 / 003PO or RRI002 / 004PO) or PTR pump unit devices, multiple current working states are operated by AND operation as parameter diagnosis results of the multiple unit devices. When the multiple unit devices are RRI side valve unit devices (such as RRI011 / 012 / 019 / 020 / 021 / 022VP), multiple current working states are operated by OR operation as parameter diagnosis results of the multiple unit devices.

[0152] In one embodiment, the parameter diagnosis results of each embodiment of the intelligent diagnosis method for nuclear power plant unit parameters provided by the present application can be operated by OR operation as the monitoring result of the entire process of starting and stopping the nuclear power plant unit, so that the operator can discover equipment abnormalities in time and respond quickly, leaving sufficient time for the operator to intervene and respond, and protect the unit equipment in time, thereby avoiding continuous deterioration of the unit equipment and ensuring that the nuclear reactor is always in a safe and controllable state.

[0153] In one embodiment, the intelligent diagnosis method for nuclear power plant unit parameters provided in the present application can be applied to nuclear power plants using digital technology. The intelligent diagnosis method for nuclear power plant unit parameters provided in the present application can be implemented using the screen configuration software of the distributed control system (DCS). The unit parameters are classified and collected in different types. In the interface layout, the shutdown parameters, shutdown parameters, pumps, and important equipment parameters are arranged in partitions. The shutdown parameters are displayed according to different functions, including steam generator water level, nuclear power, main loop related, dedicated safety system parameters, regulator parameters, etc. The shutdown parameters are displayed according to the instrument function, for example: the turbine lubricating oil system (GeneratorGovernor and Relay Lubricating Oil System, GGR) involves 29 instrument parameters, and 29 instrument parameters are displayed on the interface. The operating status of the pump can be displayed for each pump. The chemical and volume control systems, residual heat removal systems, equipment cooling water systems, ventilation and air conditioning systems, compressed air systems, nuclear sampling systems, radioactive waste treatment systems, instrumentation and control systems, and power supply systems in nuclear power plants can be arranged and displayed in different systems. Thus, the parameters of each unit equipment in the nuclear power plant can be displayed on the screen, so that the operator can find equipment abnormalities in time and respond quickly, leaving sufficient time for the operator to intervene and respond, and protect the unit equipment in time, so as to avoid continuous deterioration of the unit equipment and ensure that the nuclear reactor is always in a safe and controllable state.

[0154] See also Figure 2 The present application provides a nuclear power plant unit parameter intelligent diagnosis system. The nuclear power plant unit parameter intelligent diagnosis system includes a historical data acquisition module 10, a threshold determination module 20, a real-time data acquisition module 30 and a diagnosis result determination module 40. The historical data acquisition module 10 is used to obtain the historical operating parameters of the unit equipment. The threshold determination module 20 is used to determine the pre-trigger threshold according to the historical operating parameters. The real-time data acquisition module 30 is used to obtain the current actual operating parameters of the unit equipment. The diagnosis result determination module 40 is used to determine the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold.

[0155] In this embodiment, the relevant description of the historical data acquisition module 10 can refer to the relevant description of S10 in the above embodiment. The relevant description of the threshold determination module 20 can refer to the relevant description of S20 in the above embodiment. The relevant description of the real-time data acquisition module 30 can refer to the relevant description of S30 in the above embodiment. The relevant description of the diagnosis result determination module 40 can refer to the relevant description of S40 in the above embodiment.

[0156] The intelligent diagnosis system for nuclear power plant unit parameters provided by the present application is based on the actual historical operating parameters and current actual operating parameters of the nuclear power plant, and combined with the concept of preventing shutdown and reactor shutdown, to perform parameter warning and equipment fault diagnosis on different types of instrumentation, pumps, valves and other unit equipment, and obtain parameter diagnosis results of the unit equipment, so that the operator can promptly discover equipment abnormalities and respond quickly. Through the intelligent diagnosis system for nuclear power plant unit parameters provided by the present application, the operation mode of the nuclear power plant unit equipment from complete unloading to full power operation is realized, and the whole process of unit start and stop can be monitored.

[0157] The present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method in any one of the above embodiments is implemented.

[0158] The present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the method in any one of the above embodiments is implemented.

[0159] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0160] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual application, the above-mentioned function allocation can be completed by different functional modules and modules as needed, that is, the internal structure of the module system is divided into different functional modules to complete all or part of the functions described above. The functional modules in the embodiment can be integrated in a processing module, or each module can exist physically separately, or two or more modules can be integrated in one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. In addition, the specific names of the functional modules and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the modules and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0161] An embodiment of the present application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on at least one processor, wherein when the processor executes the computer program, the steps in any of the above-mentioned method embodiments are implemented.

[0162] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0163] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0164] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or module system, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code to the camera module system / terminal device. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0165] In the above embodiments, the description of each embodiment has its own emphasis. For the part that is not described or recorded in detail in a certain embodiment, please refer to the relevant description of other embodiments. Those of ordinary skill in the art can appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0166] In the embodiments provided in the present application, it should be understood that the disclosed module system / network device and method can be implemented in other ways. For example, the module system / network device embodiments described above are only schematic, for example, the module or the division of modules is only a logical function division, and there may be other division methods in actual implementation, for example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, the indirect coupling or communication connection of the module system or module, which can be electrical, mechanical or other forms. The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for intelligent diagnosis of parameters of nuclear power plant units, characterized in that: include: Obtain historical operating parameters of unit equipment; Determining a pre-trigger threshold value according to the historical operating parameters; Obtaining current actual operating parameters of the unit equipment; A parameter diagnosis result of the unit equipment is determined according to the current actual operating parameter and the pre-trigger threshold.

2. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: There are multiple units of equipment, and the step of determining the parameter diagnosis result of the unit of equipment according to the current actual operating parameters and the pre-trigger threshold comprises: Determine the maximum actual operating parameter among the multiple current actual operating parameters corresponding to the multiple unit devices; the multiple unit devices are used to measure the same type of first type operating parameters; According to the maximum actual operating parameter and the first pre-trigger threshold, parameter diagnosis results of the plurality of equipment units are determined.

3. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: There are multiple units of equipment, and the step of determining the parameter diagnosis result of the unit of equipment according to the current actual operating parameters and the pre-trigger threshold comprises: Determine the minimum actual operating parameter among the multiple current actual operating parameters corresponding to the multiple unit devices; the multiple unit devices are used to measure the same type of second type operating parameters; According to the minimum actual operating parameter and the second pre-trigger threshold, parameter diagnosis results of the plurality of equipment units are determined.

4. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: There are multiple units of equipment, and the step of determining the parameter diagnosis result of the unit of equipment according to the current actual operating parameters and the pre-trigger threshold comprises: The plurality of current actual operating parameters corresponding to the plurality of unit devices are grouped to form a plurality of measurement parameter groups; the plurality of unit devices are used to measure the third type of operating parameters of the same type; Calculating the measurement difference of each measurement parameter group to obtain a plurality of measurement differences; Determining a maximum measurement difference and a minimum measurement difference among a plurality of the measurement differences; The parameter diagnosis results of the plurality of the unit devices are determined according to the maximum measurement difference and the first pre-trigger deviation threshold, or the parameter diagnosis results of the plurality of the unit devices are determined according to the minimum measurement difference and the first pre-trigger deviation threshold.

5. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: There are multiple units of equipment, and the step of determining the parameter diagnosis result of the unit of equipment according to the current actual operating parameters and the pre-trigger threshold comprises: Determine the maximum demand opening signal and the minimum demand opening signal among the multiple current actual operating parameters corresponding to the multiple unit equipment; the unit equipment is used to adjust the water supply flow according to the demand opening signal; Calculating a demand opening difference between the maximum demand opening signal and the minimum demand opening signal; According to the required opening difference and the second pre-trigger deviation threshold, parameter diagnosis results of the plurality of equipment units are determined.

6. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 5, characterized in that: The method further comprises: According to the maximum demand opening signal and the opening pre-trigger threshold, parameter diagnosis results of the plurality of unit equipment are determined.

7. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: The step of determining the parameter diagnosis result of the unit equipment according to the current actual operating parameter and the pre-trigger threshold comprises: Calculating the opening deviation value between the actual opening signal and the required opening signal in the current actual operating parameters of the unit equipment; the unit equipment is used to adjust the water supply flow rate according to the required opening signal and the actual opening signal; A parameter diagnosis result of the unit equipment is determined according to the opening deviation value and a third pre-trigger deviation threshold.

8. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: After the step of obtaining the current actual operating parameters of the unit equipment, the method further includes: Obtaining historical operating parameters of associated equipment of the unit equipment; Determining a parameter relationship model according to the historical operating parameters of the associated equipment and the historical operating parameters of the unit equipment; The parameter diagnosis result of the unit equipment is determined according to the current actual operating parameters and the parameter relationship model.

9. The method for intelligent diagnosis of nuclear power plant unit parameters according to claim 1, characterized in that: After the step of obtaining the current actual operating parameters of the unit equipment, the method further includes: Obtain the current working status of the associated equipment of the unit equipment; The parameter diagnosis result of the unit equipment is determined according to the current working state of the associated equipment, the current actual operating parameter and the third pre-trigger threshold.

10. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: After the step of obtaining the current actual operating parameters of the unit equipment, the method further includes: Acquire the current working state of the unit equipment and the current actual operating parameters and associated pre-trigger thresholds of the associated equipment of the unit equipment; The parameter diagnosis result of the unit equipment is determined according to the current working state of the unit equipment, the current actual operating parameters of the associated equipment and the associated pre-trigger threshold of the associated equipment.

11. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: There are multiple units of equipment. After the step of obtaining the current actual operating parameters of the units of equipment, the method further includes: Acquire the current working status of each of the plurality of unit devices; the plurality of unit devices are used to be all in the on state when the nuclear power plant is in operation; According to the current working status of each of the plurality of machine group devices, parameter diagnosis results of the plurality of machine group devices are determined.

12. The intelligent diagnosis method for nuclear power plant unit parameters according to claim 1, characterized in that: After the step of obtaining the current actual operating parameters of the unit equipment, the method further includes: Acquiring the current working status of each of the plurality of unit devices; at least one of the plurality of unit devices is used to be in an on state when the nuclear power plant is in operation; According to the current working status of each of the plurality of machine group devices, parameter diagnosis results of the plurality of machine group devices are determined.

13. A nuclear power plant unit parameter intelligent diagnosis system, characterized in that: include: A historical data acquisition module is used to obtain historical operating parameters of the unit equipment; A threshold determination module, used to determine a pre-trigger threshold according to the historical operating parameters; A real-time data acquisition module, used to obtain the current actual operating parameters of the unit equipment; The diagnosis result determination module is used to determine the parameter diagnosis result of the unit equipment according to the current actual operating parameters and the pre-trigger threshold.

14. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 12 is implemented.

15. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 12 is implemented.

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