Automated accident diagnosis method and system

Abstract

This invention relates to an automatic accident diagnosis method and system. The method includes: acquiring key parameter information and protection signal records during unit operation; performing accident category analysis on the key parameter information to obtain the unit's status function degradation information and category handling strategies; performing initiating event analysis on the key parameter information and the protection signal records to obtain initiating event handling strategies; and determining the final execution strategy based on the status function degradation information, the category handling strategies, and the initiating event handling strategies. This invention modularizes accident diagnosis, automatically and accurately identifying accident categories and initiating events to more clearly present single accidents and overlapping accidents, and generating specific execution strategies for operator reference.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant technology, and in particular to an automatic accident diagnosis method and system. Background Technology

[0002] Currently, nuclear power plant accident handling primarily relies on pre-prepared accident operation procedures. When a malfunction or accident occurs at a nuclear power plant, existing diagnostic methods largely depend on operators following paper-based procedures step-by-step. This multi-step diagnostic process is time-consuming, especially in rapidly progressing accidents, and may cause them to miss the optimal response window. Even with digital automated diagnostic systems, most can only provide macroscopic diagnoses of the unit's status, failing to pinpoint the exact location of the fault or differentiate between single and overlapping accidents. In accident situations, numerous alarms and the monitoring of multiple parameters place a heavy burden and stress on personnel, increasing the risk of human error. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an automatic accident diagnosis method and system.

[0004] The technical solution adopted by this invention to solve its technical problem is: constructing an automatic accident diagnosis method, comprising: Acquire key parameter information and protection signal records during unit operation; Accident category analysis is performed on the key parameter information to obtain the unit's status function degradation information and category handling strategy; The key parameter information and the protection signal records are analyzed to determine the initiation event handling strategy. The final execution strategy is determined based on the state function degradation information, the category processing strategy, and the initiating event processing strategy.

[0005] Preferably, the status function category of the unit includes at least one of subcriticality, primary loop water level, primary loop integrity, heat sink, steam generator integrity, and containment integrity; The accident category analysis of the key parameter information includes: Determine the status function degradation information based on the key parameter information; The processing priority of each state function is determined based on the state function degradation information to obtain processing sorting information; A category processing strategy is generated based on the processing sorting information.

[0006] Preferably, determining the state function degradation information based on the key parameter information includes: For each state function of the unit, the following steps are performed: determine the types of parameters involved based on the category of the target state function, and obtain several involved parameters; obtain the degradation range information of each involved parameter; analyze each involved parameter in the key parameter information based on the degradation range information to determine the state function degradation information of the target state function.

[0007] Preferably, the degradation range information includes a normal range, a minor degradation range, and a severe degradation range; The analysis of each relevant parameter in the key parameter information based on the degradation range information includes: The range of each of the relevant parameters is determined based on the downgrade range information; When all the parameters involved are within the normal range, the target state function is determined to be normal. When at least one of the aforementioned parameters is within the range of the slight degradation, and none of the remaining aforementioned parameters are within the range of the severe degradation, the target state function is determined to be slightly degraded. When at least one of the parameters involved is within the severely degraded range, the target state function is determined to be severely degraded.

[0008] Preferably, determining the processing priority of each state function based on the state function degradation information includes: The processing priority of each state function is determined based on the degree of degradation from high to low, including: prioritizing the processing of severely degraded state functions, followed by processing slightly degraded state functions; when there are multiple state functions with the same degree of degradation, the processing order of the relevant state functions is determined according to the state of the unit.

[0009] Preferably, the initial event analysis of the key parameter information and the protection signal record includes: The originating protection signal is determined based on the protection signal record; At least one initiating event is determined based on the initiating protection signal and the key parameter information; The initiation event handling strategy for each initiation event is determined based on the pre-stored event handling strategy model.

[0010] Preferably, determining at least one initiating event based on the initiating protection signal and the key parameter information includes: Obtain multiple pre-stored initiation event parameter models; wherein each initiation event parameter model includes several parameter types and the characteristics of each parameter type; Based on the originating protection signal, the parameter models of each originating event are filtered to obtain several parameter models to be matched. The key parameter information is matched according to each of the parameter models to be matched, so as to determine at least one initiating event based on the matching results.

[0011] Preferably, determining the final execution strategy based on the state function degradation information, the category processing strategy, and the initiating event processing strategy includes: Determine whether the number of the initiating events is greater than one; When the number of initiating events is less than or equal to one, the initiating event handling strategy is set as the final execution strategy; When the number of the initiating events is greater than one, it is determined whether the initiating event processing strategy of each initiating event encompasses the category processing strategy. If so, the initiating event processing strategies of each initiating event are fused to obtain a first fusion strategy; otherwise, the initiating event processing strategy of each initiating event and the category processing strategy are combined to obtain a combined strategy. Set the first fusion strategy or the combined strategy as the final execution strategy.

[0012] Preferably, the combined processing of the initiating event handling strategy and the category handling strategy for each of the initiating events includes: Analyze whether there is a conflict between the category processing strategy and the initial event processing strategy of each initial event. If so, determine the category processing strategy as a combined strategy. Otherwise, perform a fusion strategy on the initial event processing strategy of each initial event and the category processing strategy to obtain a second fusion strategy, and determine the second fusion strategy as the combined strategy.

[0013] Preferably, the automatic accident diagnosis method further includes: Output the state function degradation information, the analysis results of the initiating event, and the final execution strategy.

[0014] Preferably, the automatic accident diagnosis method further includes: The key parameter information is preprocessed and updated to the preprocessed data; the preprocessing includes conservative value filtering and / or invalid data removal.

[0015] Furthermore, the present invention also constructs an automatic accident diagnosis system, comprising: The information acquisition unit is used to acquire key parameter information and protection signal records during the unit's operation. The accident category analysis unit is used to perform accident category analysis on the key parameter information to obtain the status function degradation information and category handling strategy of the unit; The initiating event determination unit is used to perform initiating event analysis on the key parameter information and the protection signal record to obtain an initiating event handling strategy; The incident priority unit is used to determine the final execution strategy based on the status function degradation information, the category processing strategy, and the initiating event processing strategy.

[0016] Preferably, the automatic accident diagnosis system further includes: An information processing unit is used to preprocess the key parameter information and update the key parameter information with the preprocessed data; the preprocessing includes conservative value filtering and / or invalid data removal; The display unit is used to display the status function degradation information, the initial event analysis results, and the final execution strategy.

[0017] Implementing this invention has the following beneficial effects: it can modularize accident diagnosis, automatically and accurately identify accident categories and initiating events, present single accidents and superimposed accidents more clearly, and generate specific execution strategies for operators to refer to, which significantly improves accident handling efficiency and plays a positive role in improving the safety of nuclear power plants. Attached Figure Description

[0018] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart of the automatic accident diagnosis method in some embodiments of the present invention; Figure 2 This is a schematic diagram of the structure of an automatic accident diagnosis system in some embodiments of the present invention. Detailed Implementation

[0019] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0020] It should be noted that the flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0021] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0022] Figure 1 This is a flowchart of an automatic accident diagnosis method in some embodiments of the present invention. By modularizing accident diagnosis, this method can automatically and accurately identify accident categories and initiating events, more clearly presenting single and overlapping accidents, and generating specific execution strategies for operators' reference. This significantly improves accident handling efficiency and plays a positive role in enhancing the safety of nuclear power plants.

[0023] like Figure 1 As shown, the automatic accident diagnosis method may further include steps S10 to S40.

[0024] Step S10 includes: acquiring key parameter information and protection signal records during unit operation. The types of key parameter information may include core coolant saturation margin, primary loop temperature, primary loop pressure, steam generator level, pressurizer level, pressurizer pressure, primary loop coolant flow rate, core power, operating status of main pumps, operating status of safety injection pumps, operating status of RCV system charging isolation valves, and operating status of discharge isolation valves. Protection signal records may include trigger records of signals related to protection measures after the unit has reached normal operation, specifically including trigger records of protection signals such as shutdown signals, safety injection signals, boronizing signals, and depressurization signals.

[0025] It should be noted that the parameters in the key parameter information can be collected by the detectors already available in the nuclear power plant. For details, please refer to the existing technology, which will not be elaborated here.

[0026] In some embodiments, before performing step S20, the method may further include: S21, preprocessing the key parameter information and updating the key parameter information to the preprocessed data. The preprocessing includes conservative value filtering and / or invalid data removal.

[0027] In this embodiment, conservative value selection is equivalent to raising the analysis standard, which can avoid missing the best time to handle the accident. Invalid data removal is to remove invalid data from the key parameter information, thereby avoiding the deviation of subsequent analysis results caused by invalid data.

[0028] In nuclear power plants, each parameter is typically collected simultaneously by multiple detectors to meet redundancy design principles. Accordingly, in some embodiments, conservative value selection may include: for each parameter except for the relevant operating status (such as the operating status of the main pump and safety injection pump), setting the maximum or second-largest sampled value of each detector for that parameter as the final measured value of that parameter. Assuming five temperature detectors are configured to monitor the primary loop temperature, and the sampled values ​​of each temperature detector are arranged from smallest to largest as T1, T2, T3, T4, and T5, then after conservative value selection, T4 or T5 will be used as the final measured value of the primary loop temperature.

[0029] In some embodiments, invalid data removal may include: for each parameter other than the operating status of the safety injection pump, acquiring the sampled value of each detector that detects the parameter; determining whether the value of each parameter is within the corresponding set parameter range; and removing the sampled values ​​that are not within the corresponding set parameter range. Taking the primary loop temperature as an example, the set parameter range for the primary loop temperature can be below 400°C, meaning that invalid data removal can remove primary loop temperature data above 400°C.

[0030] It should be noted that when the detector malfunctions, the sampled values ​​may deviate significantly from the normal range. The purpose of invalid data removal is to remove these obviously erroneous invalid data.

[0031] Furthermore, when preprocessing includes invalid data removal and conservative value filtering, invalid data removal is performed first, followed by conservative value filtering. When preprocessing does not include conservative value filtering, the average of all sampled values ​​of the parameter is set as the final measured value of that parameter.

[0032] Step S20 includes: performing accident category analysis on key parameter information to obtain unit status function degradation information and category handling strategies. The unit status function category may include at least one of subcriticality, primary loop water level, primary loop integrity, heat sink, steam generator integrity, and containment integrity.

[0033] In this step, the status function degradation information includes the degradation status of various status functions after the incident, specifically including no degradation (i.e., normal), minor degradation, and severe degradation. This helps operators understand the unit's status and take appropriate action. The category handling strategy includes recommended handling strategies for restoring the various status functions to normal after the incident.

[0034] In some embodiments, step S20 may include steps S201 to S203.

[0035] Step S201 includes: determining the status function degradation information based on key parameter information.

[0036] In some embodiments, state function degradation information can be determined based on key parameter information in the following manner: for each state function of the unit, the following steps are performed: determine the types of parameters involved based on the category of the target state function to obtain several involved parameters; obtain degradation range information for each involved parameter; and analyze each involved parameter in the key parameter information based on the degradation range information to determine the state function degradation information of the target state function.

[0037] In some embodiments, the degradation range information includes a normal range, a minor degradation range, and a severe degradation range. Accordingly, steps S2011 to S2014 can be performed to analyze each parameter involved in the key parameter information.

[0038] Step S2011 includes: determining the range of each involved parameter based on the downgrade range information.

[0039] Step S2012 includes: when all involved parameters are within the normal range, the target state function is determined to be normal.

[0040] Step S2013 includes: when at least one related parameter is within the range of slight degradation and the remaining related parameters are not within the range of severe degradation, the target state function is determined to be slightly degraded.

[0041] Step S2014 includes: when at least one parameter is within the severely degraded range, determining that the target state function is severely degraded.

[0042] Specifically, assuming the target state function is the primary loop water level, the parameters involved in the primary loop water level may include the steam generator level and the pressurizer level. When the steam generator level and / or the pressurizer level are within their respective severely degraded ranges, the primary loop water level is determined to be severely degraded. When neither the steam generator level nor the pressurizer level is within their respective severely degraded ranges, but the steam generator level and / or the pressurizer level are within their respective slightly degraded ranges, the primary loop water level is determined to be slightly degraded. If both the steam generator level and the pressurizer level are within their respective normal ranges, the primary loop water level is determined to be normal.

[0043] Step S202 includes: determining the processing priority of each state function based on the state function degradation information to obtain processing sorting information.

[0044] In some embodiments, the processing priority of each state function can be determined in the following manner: The processing priority of each state function is determined based on the degree of degradation from high to low, including: prioritizing severely degraded state functions, followed by slightly degraded state functions; when multiple state functions have the same degree of degradation, the processing order of the relevant state functions is determined according to the unit's state. Further, for normal state functions, monitoring and maintaining the current state is sufficient.

[0045] Specifically, the processing order of relevant status functions can be determined based on the unit's status in the following way: For status functions with the same degree of degradation, the degree of exceeding the limit for each status function is determined based on the current status of the unit; the processing order is determined based on the degree of exceeding the limit. For example, if both the primary coolant level and subcriticality are slightly degraded; among the parameters related to the primary coolant level, the proportion of steam generator level exceeding the median value of the corresponding normal range is 5%, and the proportion of pressurizer level exceeding the median value of the corresponding normal range is 6%, the largest deviation among all related parameters is recorded as the primary coolant level deviation value (i.e., 6%); among the parameters related to subcriticality, the proportion of core power exceeding the median value of the corresponding normal range is 7%, the largest deviation among all related parameters is recorded as the subcriticality deviation value (i.e., 7%); compare the primary coolant level deviation value and the subcriticality deviation value, the larger the deviation value, i.e., the greater the degree of exceeding the limit, therefore the subcriticality will be processed first.

[0046] Step S203 includes: generating category-based processing strategies based on processing sequence information. It is easily understood that the processing sequence information determines the processing order of each state function, and the processing strategy for each state function can refer to existing technologies. For example, when core power is downgraded, the processing strategy may include emergency shutdown, boronizing, etc.; another example is when the primary coolant level is downgraded, the processing strategy may include restoring the primary coolant level as much as possible to normal, reducing the primary coolant pressure, etc.

[0047] Step S30 includes: performing initial event analysis on key parameter information and protection signal records to obtain an initial event handling strategy.

[0048] In some embodiments, initiation event analysis can be performed by executing steps S301 to S303.

[0049] Step S301 includes: determining the originating protection signal based on the protection signal record. Specifically, based on the protection signal record, the protection signal that is triggered first when the unit is in normal operation is recorded as the first triggering protection signal. Since multiple fault events may be triggered simultaneously or within a short period of time, and there may be a time difference between the issuance of different types of protection signals, the protection signals triggered within a certain period of time after the first triggering protection signal, as well as the first triggering protection signal, can also be determined as the originating protection signal.

[0050] Step S302 includes: determining at least one initiating event based on the initiating protection signal and key parameter information.

[0051] In some embodiments, at least one initiating event can be determined by performing steps S3021 to S3023.

[0052] Step S3021 includes: acquiring multiple pre-stored initiating event parameter models. Each initiating event parameter model corresponds one-to-one with a different type of initiating event, and each model includes several parameter types and the characteristics of each type. The fault event types in the initiating event parameter models may include primary circuit rupture accidents, secondary circuit rupture accidents, power outage accidents, and abnormal closure accidents of the chemical volume control system (RCV) charging line isolation valve, etc.

[0053] It should be noted that different initiating events may trigger different state function degradations. For example, a primary loop breach accident may trigger primary loop water capacity degradation, primary loop integrity degradation, and containment integrity degradation, while a secondary loop breach accident may trigger subcriticality degradation, heat sink degradation, and steam generator integrity degradation.

[0054] Furthermore, different initiating events involve different types of parameters, and each parameter has different characteristics (i.e., different ranges). Take, for example, a small breach accident in the primary coolant tube section and an abnormal closure accident of the chemical volume control system (RCV) charging line isolation valve. When a small breach accident occurs in the primary coolant tube section, the core coolant saturation margin is saturated, the pressurizer level is below the set level threshold, the pressurizer pressure is below the first set pressure threshold, the steam generator level is normal, the primary coolant flow rate is below the set flow rate threshold, the core power is below the set power threshold, the main pump is shut down, the charging isolation valve is either open or closed, and the drain isolation valve is closed. When an abnormal closure of the filling line isolation valve in the chemical volume control system occurs, the core coolant saturation margin is undersaturated, the pressurizer level is below the set level threshold, the pressurizer pressure is above the second set pressure threshold, the steam generator level is normal, the primary coolant flow rate is normal, the core power is below the set power threshold, the main pumps are in operation, the filling isolation valve is closed, and the drain isolation valve is closed. However, the core coolant saturation margin, pressurizer pressure, primary coolant flow rate, main pump operating status, and filling isolation valve operating status differ between the two conditions during an abnormal closure of the filling line isolation valve in the chemical volume control system and during an accident involving a small rupture in the primary coolant cooling pipe.

[0055] Furthermore, an accident can lead to a decrease in the charge flow rate of the chemical volume control system (RCV), causing a continuous drop in the pressurizer level. This drop in pressurizer level will trigger the automatic isolation of the RCV drain line, resulting in a continuous decrease in the primary loop pressure and potentially triggering a reactor shutdown. Therefore, the parameters involved in an abnormal closure of the RCV charge line isolation valve include pressurizer level, primary loop pressure, and the operating status of the charge line isolation valve. Similarly, a primary loop rupture accident involves parameters related to the primary loop water load, primary loop integrity, and containment integrity, as well as the degradation range information corresponding to each parameter.

[0056] Step S3022 includes: screening the parameter models of each initiating event based on the initiating protection signal to obtain several parameter models to be matched. Specifically, since different initiating events involve different state function degradations, and different protection signals respond to different state functions, for example, when a shutdown signal is triggered, the parameter models of initiating events that do not involve subcriticality degradation can be excluded first; when a safety injection signal is triggered, the parameter models of initiating events that do not involve primary circuit water loading degradation can be excluded.

[0057] Step S3023 includes: matching key parameter information according to each parameter model to be matched, so as to determine at least one initiating event based on the matching results. Specifically, it can be determined whether the parameters included in each parameter model to be matched meet the corresponding features based on the key parameter information. If all the parameters included in a parameter model to be matched meet the corresponding features, then the event corresponding to that parameter model can be determined as the initiating event.

[0058] Step S303 includes: determining the initiation event handling strategy for each initiation event based on the pre-stored event handling strategy model. It should be noted that the handling strategy for each initiation event is a mature existing technology. For example, consider a small break in the primary coolant tube and a small break in the primary coolant tube superimposed with a low-pressure safety injection failure. When only one initiation event occurs (a small break in the primary coolant tube), the accident category analysis can identify a slight degradation in primary coolant water charge, a slight degradation in primary coolant integrity, and a slight degradation in containment integrity. The handling strategies include: emergency shutdown via the rod control system, commissioning the reactor boron and water supply system for boronizing to achieve reactivity control and ensure core subcriticality; removing primary coolant heat using the steam generator, shutting down the low-pressure safety injection pumps in the safety system, and removing primary coolant heat through the residual heat removal system to cool the primary coolant; opening the pressurizer safety valve and shutting down all intermediate-pressure safety injection pumps to reduce primary coolant pressure; and closing the containment isolation valve to isolate the containment. When a small rupture in the primary loop cold section is combined with a low-pressure safety injection failure, the heat needs to be dissipated through containment spraying due to the failure of the low-pressure safety injection pump. At least one medium-pressure safety injection pump should be kept running as much as possible to reduce the pressure in the primary loop. It is easy to understand that, apart from the different method of residual heat dissipation, the other handling strategies can be the same as those for a small rupture in the primary loop cold section.

[0059] Step S40 includes: determining the final execution strategy based on the status function degradation information, category processing strategy, and originating event processing strategy.

[0060] In some embodiments, the final execution strategy can be determined by performing steps S401 to S404.

[0061] Step S401 includes: determining whether the number of initiating events is greater than one.

[0062] Step S402 includes: when the number of initiating events is less than or equal to one, setting the initiating event handling strategy as the final execution strategy. It should be noted that when a single initiating event is triggered, the initiating event handling strategy can usually encompass the category handling strategy, so the initiating event handling strategy can be set as the final execution strategy and executed.

[0063] Step S403 includes: when the number of originating events is greater than one, determining whether the originating event processing strategy of each originating event encompasses the category processing strategy; if so, performing fusion processing on the originating event processing strategies of each originating event to obtain a first fusion strategy; otherwise, performing combined processing on the originating event processing strategy and the category processing strategy of each originating event to obtain a combined strategy.

[0064] Understandably, when there are multiple initiating events, the initiating event handling strategies may have duplicate or conflicting steps. Therefore, it is necessary to merge the initiating event handling strategies of each initiating event to obtain a safe first merged strategy.

[0065] In some embodiments, the initial event handling strategies of each initial event can be merged by performing the following steps: when there are duplicate strategies in the initial event handling strategies of each initial event, one of the duplicate strategies is removed to preserve the uniqueness of the handling strategy.

[0066] In some embodiments, the combined processing can be performed by performing the following steps: analyzing whether there is a conflict between the control of the category processing strategy and the initial event processing strategy of each initial event; if so, determining the category processing strategy as the combined strategy; otherwise, performing a fusion strategy on the initial event processing strategy and the category processing strategy of each initial event to obtain a second fusion strategy, and determining the second fusion strategy as the combined strategy.

[0067] To avoid policy conflicts that could lead to untimely event handling or even exacerbate malfunctions, this embodiment adheres to a conservative principle and therefore determines the category handling policy as the final execution policy. Furthermore, the method for merging the initiating event handling policy and category handling policy for each initiating event is the reverse of the merging process described above; in both cases, duplicate policies are removed, leaving only one policy.

[0068] Step S404 includes setting the first fusion strategy or combination strategy as the final execution strategy. Understandably, when the number of originating events is greater than one and the originating event processing strategy of the originating events encompasses the category processing strategy, the first fusion strategy is set as the final execution strategy; when the number of originating events is greater than one and the originating event processing strategy of the originating events does not encompass the category processing strategy, the combination strategy is set as the final execution strategy.

[0069] In some embodiments, such as Figure 1 As shown, the automatic accident diagnosis method may further include step S50. Step S50 includes: outputting status function degradation information, initiating event analysis results, and final execution strategy. Specifically, the status function degradation information, initiating event analysis results, and final execution strategy can be output to a display unit to display the status function degradation information, initiating event analysis results, and final execution strategy, facilitating operator reference and practical application of relevant strategies. Furthermore, the initiating event analysis results include several initiating events and the corresponding initiating event handling strategy for each initiating event.

[0070] This invention also provides an automatic accident diagnosis system, such as... Figure 2 As shown, the automatic accident diagnosis system may include an information acquisition unit 1, an accident category analysis unit 2, an initiating event determination unit 3, and an accident priority unit 4.

[0071] Information acquisition unit 1 is used to acquire key parameter information and protection signal records during the operation of the unit.

[0072] Accident Category Analysis Unit 2 is used to perform accident category analysis on key parameter information to obtain unit status function degradation information and category handling strategies. It should be noted that the specific process of accident category analysis can be found above and will not be repeated here.

[0073] The initiating event determination unit 3 is used to perform initiating event analysis on key parameter information and protection signal records to obtain initiating event handling strategies. It should be noted that the specific process of initiating event analysis can be found above and will not be repeated here.

[0074] Incident Priority Unit 4 is used to determine the final execution strategy based on the status function degradation information, category handling strategy, and originating event handling strategy. It should be noted that the process for determining the final execution strategy is described above and will not be repeated here.

[0075] In some embodiments, such as Figure 2 As shown, the automatic accident diagnosis system may also include an information processing unit 5 and a display unit 6.

[0076] The information processing unit 5 is used to preprocess the key parameter information and update the key parameter information to the preprocessed data; the preprocessing includes conservative value filtering and / or invalid data removal.

[0077] Display unit 6 is used to display status function degradation information, initial event analysis results, and final execution strategy.

[0078] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0079] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0080] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0081] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. An automatic accident diagnosis method, characterized in that, include: Acquire key parameter information and protection signal records during unit operation; Accident category analysis is performed on the key parameter information to obtain the unit's status function degradation information and category handling strategy; The key parameter information and the protection signal records are analyzed to determine the initiation event handling strategy. The final execution strategy is determined based on the state function degradation information, the category processing strategy, and the initiating event processing strategy.

2. The automatic accident diagnosis method according to claim 1, characterized in that, The status function categories of the unit include at least one of subcriticality, primary loop water level, primary loop integrity, heat sink, steam generator integrity, and containment integrity. The accident category analysis of the key parameter information includes: Determine the status function degradation information based on the key parameter information; The processing priority of each state function is determined based on the state function degradation information to obtain processing sorting information; A category processing strategy is generated based on the processing sorting information.

3. The automatic accident diagnosis method according to claim 2, characterized in that, The process of determining the status function degradation information based on the key parameter information includes: For each state function of the unit, the following steps are performed: determine the types of parameters involved based on the category of the target state function, and obtain several involved parameters; obtain the degradation range information of each involved parameter; analyze each involved parameter in the key parameter information based on the degradation range information to determine the state function degradation information of the target state function.

4. The automatic accident diagnosis method according to claim 3, characterized in that, The downgrade range information includes normal range, minor downgrade range, and severe downgrade range; The analysis of each relevant parameter in the key parameter information based on the degradation range information includes: The range of each of the relevant parameters is determined based on the downgrade range information; When all the parameters involved are within the normal range, the target state function is determined to be normal. When at least one of the aforementioned parameters is within the range of the slight degradation, and none of the remaining aforementioned parameters are within the range of the severe degradation, the target state function is determined to be slightly degraded. When at least one of the parameters involved is within the severely degraded range, the target state function is determined to be severely degraded.

5. The automatic accident diagnosis method according to claim 4, characterized in that, The step of determining the processing priority of each state function based on the state function degradation information includes: The processing priority of each state function is determined based on the degree of degradation from high to low, including: prioritizing the processing of severely degraded state functions, followed by processing slightly degraded state functions; when there are multiple state functions with the same degree of degradation, the processing order of the relevant state functions is determined according to the state of the unit.

6. The automatic accident diagnosis method according to any one of claims 1 to 5, characterized in that, The initial event analysis of the key parameter information and the protection signal record includes: The initial protection signal is determined based on the protection signal record; At least one initiating event is determined based on the initiating protection signal and the key parameter information; The initial event handling strategy for each initial event is determined based on the pre-stored event handling strategy model.

7. The automatic accident diagnosis method according to claim 6, characterized in that, The determination of at least one initiating event based on the initiating protection signal and the key parameter information includes: Obtain multiple pre-stored initiation event parameter models; wherein each initiation event parameter model includes several parameter types and the characteristics of each parameter type; Based on the originating protection signal, the parameter models of each originating event are filtered to obtain several parameter models to be matched. The key parameter information is matched according to each of the parameter models to be matched, so as to determine at least one initiating event based on the matching results.

8. The automatic accident diagnosis method according to claim 6, characterized in that, The step of determining the final execution strategy based on the state function degradation information, the category processing strategy, and the initiating event processing strategy includes: Determine whether the number of the initiating events is greater than one; When the number of initiating events is less than or equal to one, the initiating event handling strategy is set as the final execution strategy; When the number of the initiating events is greater than one, it is determined whether the initiating event processing strategy of each initiating event encompasses the category processing strategy. If so, the initiating event processing strategies of each initiating event are fused to obtain a first fusion strategy; otherwise, the initiating event processing strategy of each initiating event and the category processing strategy are combined to obtain a combined strategy. Set the first fusion strategy or the combined strategy as the final execution strategy.

9. The automatic accident diagnosis method according to claim 8, characterized in that, The combined processing of the initiating event handling strategy and the category handling strategy for each of the aforementioned initiating events includes: Analyze whether there is a conflict between the category processing strategy and the initial event processing strategy of each initial event. If so, determine the category processing strategy as a combined strategy. Otherwise, perform a fusion strategy on the initial event processing strategy of each initial event and the category processing strategy to obtain a second fusion strategy, and determine the second fusion strategy as the combined strategy.

10. The automatic accident diagnosis method according to any one of claims 1 to 5, characterized in that, The automatic accident diagnosis method also includes: Output the state function degradation information, the analysis results of the initiating event, and the final execution strategy.

11. The automatic accident diagnosis method according to any one of claims 1 to 5, characterized in that, The automatic accident diagnosis method also includes: The key parameter information is preprocessed and updated to the preprocessed data; the preprocessing includes conservative value filtering and / or invalid data removal.

12. An automatic accident diagnosis system, characterized in that, include: The information acquisition unit is used to acquire key parameter information and protection signal records during the unit's operation. The accident category analysis unit is used to perform accident category analysis on the key parameter information to obtain the status function degradation information and category handling strategy of the unit; The initiating event determination unit is used to perform initiating event analysis on the key parameter information and the protection signal record to obtain an initiating event handling strategy; The incident priority unit is used to determine the final execution strategy based on the status function degradation information, the category processing strategy, and the initiating event processing strategy.

13. The automatic accident diagnosis system according to claim 12, characterized in that, The automatic accident diagnosis system also includes: An information processing unit is used to preprocess the key parameter information and update the key parameter information with the preprocessed data; the preprocessing includes conservative value filtering and / or invalid data removal; The display unit is used to display the status function degradation information, the initial event analysis results, and the final execution strategy.

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