Fused salt energy storage optimization management method and system based on nuclear power waste heat

Abstract

The invention discloses a fused salt energy storage optimization management method and system based on nuclear power waste heat, and relates to the technical field of energy storage management, and the method comprises the steps: monitoring a fused salt energy storage system through a sensor, and obtaining monitoring data; performing independence judgment on the monitoring item, performing data validity judgment on the monitoring data of the monitoring item with independence, performing data extraction on an influence source influencing the monitoring item without independence to obtain supplementary data, and performing joint judgment on the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data; if the monitoring data is valid, performing security judgment on the monitoring data, and determining the security of the fused salt energy storage system; and if it is judged that the fused salt energy storage system is not safe, outputting a corresponding alarm signal according to a monitoring item corresponding to the monitoring data. The method has the effect of improving the safety judgment accuracy.

Description

Technical Field

[0001] The present application relates to the field of energy storage management technology, and in particular to a molten salt energy storage optimization management method and system based on nuclear power waste heat. Background Art

[0002] With the ever-increasing demand for energy and the pursuit of clean energy, nuclear power has gained widespread application as an efficient and clean energy source. However, nuclear power generates a large amount of waste heat during the power generation process, which is often discharged into the environment, resulting in energy waste and environmental thermal pollution. Molten salt energy storage technology, with its advantages of high energy storage density, wide operating temperature range, and excellent heat transfer performance, can effectively utilize nuclear power waste heat for energy storage, thereby improving energy efficiency.

[0003] In related technologies, safety management of molten salt energy storage systems often involves collecting and monitoring data through sensors. When the monitored data exceeds a preset range, a fault is determined in the device being monitored by the sensor, triggering an alarm. This ensures the safety of the molten salt energy storage system.

[0004] Regarding the above-mentioned related technologies, this method can only monitor data based on the data collected by the sensor, but cannot determine whether the sensor is faulty, which leads to errors in the collected data. In turn, when the safety judgment of the molten salt energy storage system is made based on the collected data, the accuracy of the judgment result is reduced, and there is room for improvement. Summary of the Invention

[0005] In order to improve the accuracy of safety judgment, the present application provides a molten salt energy storage optimization management method and system based on nuclear power waste heat.

[0006] In the first aspect, the present application provides a method for optimizing and managing molten salt energy storage based on nuclear power waste heat, which adopts the following technical solutions:

[0007] A method for optimizing and managing molten salt energy storage based on nuclear power waste heat, comprising:

[0008] S1, based on the monitoring items, use various sensors to monitor the molten salt energy storage system and obtain the monitoring data of the corresponding sensors;

[0009] S2, conduct independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent;

[0010] S3, conducting data validity judgment on the monitoring data of the independent monitoring items to determine the validity of the corresponding monitoring data;

[0011] S4, extract data from the influencing sources that have an impact on the monitoring items that are not independent, obtain supplementary data, and make a joint judgment on the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data;

[0012] S5, if the monitoring data is valid, then using a threshold judgment method to make a safety judgment on the monitoring data to determine the safety of the molten salt energy storage system;

[0013] S6: If it is determined that the molten salt energy storage system is not safe, a corresponding alarm signal is output according to the monitoring item corresponding to the monitoring data.

[0014] Preferably, S21, determining a data type monitored by the sensor based on the monitoring item; the data type refers to an indicator on a device monitored by the sensor;

[0015] S22, obtaining the control items, system items and safety items in the molten salt energy storage system, and matching the data types monitored by the sensors with the control items, system items and safety items, determining the data category of the monitoring data, and making targeted judgments based on the data category of the monitoring data to determine the independence of each monitoring item.

[0016] Preferably, if the data type of the monitoring data is a safety item, then the threshold data of the safety item is obtained, and the data accuracy of the corresponding indicator item is determined according to the threshold data, and the data accuracy is marked as safety accuracy;

[0017] According to the safety item, the monitoring data is selected, the data difference between any two time points is determined, and the difference data is obtained;

[0018] Compare the difference data with the safety accuracy to determine the multiple relationship between the difference data and the safety accuracy;

[0019] The multiple relationship is compared with the built-in standard data. If the multiple relationship is greater than the standard data, the influence source is determined to be unstable; otherwise, the influence source is determined to be stable.

[0020] Preferably, if the independent monitoring item is a safety item, the specification data of the sensor is obtained, and the accuracy data of the sensor is determined based on the specification data;

[0021] Obtaining threshold data corresponding to the monitoring item of the sensor, and determining the safety accuracy of the corresponding monitoring item based on the threshold data;

[0022] Compare the sensor's accuracy data with the safety accuracy, and make effective judgments on the monitoring data based on the comparison relationship to determine the validity of the monitoring data.

[0023] Preferably, if the accuracy data of the sensor is greater than the safety accuracy, the monitoring data collected by the sensor is processed according to the safety accuracy to obtain first data to be judged, regularity judgment is performed on the first data to be judged, and whether the monitoring data is valid is determined based on the regularity of the first data to be judged;

[0024] If the accuracy data of the sensor is equal to the safety accuracy, data analysis is performed on the monitoring data to determine whether the monitoring data has regularity, and whether the monitoring data is valid is determined based on the regularity of the monitoring data.

[0025] Preferably, the influencing source that affects the monitoring item that does not have independence is marked as a source to be determined, and a data change judgment is performed on the source to be determined to determine whether the data of the source to be determined has changed, thereby obtaining a first change result;

[0026] Performing data change judgment on the monitoring data to determine whether the monitoring data has changed, and obtaining a second change result;

[0027] According to the time data, the first change result is matched with the second change result. If the first change result is the same as the second change result, the data of the source to be judged at the corresponding time and the monitoring data of the corresponding monitoring item are judged for change trend and change amount to determine the data change relationship between the source to be judged and the monitoring item;

[0028] Determine the validity of the corresponding monitoring item data based on the data change relationship between the source to be judged and the monitoring item.

[0029] Preferably, based on the time data, if the first change result and the second change result at the same time are different, the monitoring data of the monitoring item is divided according to the data change of the source to be determined, to obtain monitoring sub-data corresponding to the data change of the source to be determined; the monitoring sub-data includes the first monitoring sub-data and the second monitoring sub-data;

[0030] Performing change trend judgment on the first monitoring sub-data and the second monitoring sub-data, and correspondingly obtaining a first change trend and a second change trend;

[0031] Judging a first change trend of each data in the first monitoring sub-data to determine whether the change trends of each data in the first monitoring sub-data are the same, thereby obtaining a first judgment result; judging a second change trend of each data in the second monitoring sub-data to obtain a second judgment result;

[0032] The validity of the monitoring data is determined based on the first judgment result, the second judgment result, and the comparative relationship between the first judgment result and the second judgment result.

[0033] Secondly, this application provides a molten salt energy storage optimization management system based on nuclear power waste heat, which adopts the following technical solutions:

[0034] A molten salt energy storage optimization management system based on nuclear power waste heat, comprising: a screening module, a data analysis module and a safety judgment module;

[0035] The screening module uses various sensors to monitor the molten salt energy storage system according to the monitoring items and obtains the monitoring data of the corresponding sensors; it also makes an independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent;

[0036] The data analysis module judges the validity of the monitoring data of independent monitoring items to determine the validity of the corresponding monitoring data; extracts data from the influencing sources that affect non-independent monitoring items to obtain supplementary data, and jointly judges the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data;

[0037] The safety judgment module uses a threshold judgment method to judge the safety of the monitoring data if the monitoring data is valid, and determines the safety of the molten salt energy storage system; if the molten salt energy storage system is determined to be unsafe, it outputs a corresponding alarm signal based on the monitoring item corresponding to the monitoring data.

[0038] In summary, this application includes at least one of the following beneficial technical effects:

[0039] 1. By utilizing the sensors within the molten salt energy storage system to determine the monitoring items and their monitoring data that require data analysis, and by conducting an independence assessment on the monitoring items, it is determined whether the data changes of the monitoring items are affected by other factors. This ensures the accuracy of the judgment results in the subsequent data validity assessment. Furthermore, by conducting validity assessments on independent monitoring data and supplementing the data on the influencing sources of non-independent monitoring items before conducting validity assessments, the reliability of the data detected by the sensors is ensured. Consequently, when conducting safety assessments on reliable data, the assessment results are more accurate and can effectively reflect the safety status of the molten salt energy storage system.

[0040] 2. By judging the accuracy of the threshold data of the safety item, the accuracy requirement of the safety item for the data is determined. By calculating the difference between any two time points of the monitoring data, the data change of the influencing source corresponding to the monitoring data is determined. By judging the multiple relationship between the difference data and the safety accuracy and comparing it with the standard data, it is determined whether the change of the influencing source is within the variation range of the accuracy requirement. If the change of the influencing source is within the variation range of the accuracy requirement, it is determined that the influencing source is stable, which further indicates that the monitoring item corresponding to the influencing source is independent, thereby improving the accuracy of the judgment of the independence of the monitoring item;

[0041] 3. By performing data change judgment on the data of the source to be judged and the monitoring data of the monitoring item, it is clear whether the source to be judged has an impact on the monitoring item. Then, by performing data change trend judgment and change amount judgment on the source to be judged and the monitoring item at the same time, the calculation of data values is reduced, thereby simply and quickly judging whether the data change of the source to be judged has an impact on the data change of the monitoring item. At the same time, since the data of the source to be judged is changing, if an impact occurs, the data of the monitoring item will also change, thereby judging the validity of the data collected by the sensor. When the first change result is different from the second change result, the monitoring data of the monitoring item is divided by using the data change of the source to be judged, and the change trend of the divided data is judged, thereby quickly and effectively judging whether the data impact of the source to be judged on the monitoring item forms a contradictory relationship with the impact of the source to be judged on the monitoring item, thereby quickly judging the validity of the monitoring data, and improving the accuracy of the safety judgment of the molten salt energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flowchart of the steps of the molten salt energy storage optimization management method based on nuclear power waste heat in this embodiment;

[0043] Figure 2 This is a module block diagram of the molten salt energy storage optimization management system based on nuclear power waste heat in this embodiment.

[0044] Figure numerals: 1. Screening module; 2. Data analysis module; 3. Safety judgment module. DETAILED DESCRIPTION

[0045] The following is combined with Figure 1-Figure 2 This application is described in further detail.

[0046] The embodiments of the present application disclose a method and system for optimizing and managing molten salt energy storage based on nuclear power waste heat.

[0047] Example: Figure 1 As shown, the present invention provides a molten salt energy storage optimization management method based on nuclear power waste heat, comprising:

[0048] S1, based on the monitoring items, use various sensors to monitor the molten salt energy storage system and obtain the monitoring data of the corresponding sensors;

[0049] S2, making an independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent; wherein independence is used to indicate whether the data can be used alone to judge the safety of the molten salt energy storage system.

[0050] S3: Perform a data validity assessment on the monitoring data of the independent monitoring items to determine the validity of the corresponding monitoring data. Data validity is not equivalent to data security. Validity is used to determine whether the data collected by the sensors can truly reflect the actual situation of the molten salt energy storage system.

[0051] S4, extract data from the influencing sources that have an impact on the monitoring items that are not independent, obtain supplementary data, and make a joint judgment on the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data;

[0052] S5, if the monitoring data is valid, then using a threshold judgment method to make a safety judgment on the monitoring data to determine the safety of the molten salt energy storage system;

[0053] S6: If it is determined that the molten salt energy storage system is not safe, a corresponding alarm signal is output according to the monitoring item corresponding to the monitoring data.

[0054] In this embodiment, the monitoring items and their monitoring data that require data analysis are determined by utilizing the sensors provided by the molten salt energy storage system. By performing an independence judgment on the monitoring items, it is determined whether the data changes of the monitoring items are affected by other factors, thereby ensuring the correctness of the judgment results in the subsequent data validity judgment. The validity judgment is then performed on the independent monitoring data and supplemented with the data of the influencing source for the non-independent monitoring items before performing the validity judgment, thereby ensuring the reliability of the data detected by the sensor. As a result, when performing a safety judgment on the reliable data, the judgment result is more accurate and can effectively reflect the safety status of the molten salt energy storage system.

[0055] For example, in the prior art, sensors are used to monitor various indicators of a molten salt energy storage system to monitor the safety of the system. Therefore, the monitored indicators are recorded as monitoring items, and the reliability of the monitoring item data is determined by judging the monitoring items. When the monitoring data of a monitoring item is unreliable, it indicates that the monitoring data cannot truly reflect the state of the system. For example, if the temperature detected by a temperature sensor is 100°C, but the actual detected temperature is 80°C, the temperature data detected by the temperature sensor is unreliable. Therefore, if a safety judgment is made for a temperature of 100°C, an error in the system state judgment will occur.

[0056] When assessing the reliability of sensor data, the independence of the data is first assessed to determine whether it is affected by other factors. If it is not, the validity of the data itself can be directly assessed to determine whether the sensor's monitoring is effective and accurate. Conversely, if the data is affected by other factors, the impact of these factors must be considered when assessing the validity of the data to ensure the accuracy of the final analysis results.

[0057] For example, if the monitoring item is the stepping distance of a stepper motor, this monitoring item is unaffected by other factors. The sensor can determine the distance difference between the stepper motor and its initial position each time it detects the stepping distance. Therefore, by comparing the stepping distance detected by the stepper motor with the required stepping distance for system control, it is determined whether the detection result fluctuates around the required stepping distance value, thereby determining whether the sensor is operating normally. If the monitoring item is the stepping position of a device controlled by a stepper motor, for example, the position of a robotic arm on a two-dimensional plane, the robotic arm is simultaneously controlled by two stepper motors, x and y. Therefore, when determining the robotic arm's position, the monitored data is affected by both x and y. Therefore, when determining the robotic arm's position data, the y data needs to be supplemented with the collected data x to obtain a combined data. This combined data is then jointly determined to determine whether the robotic arm's position is correct. This ensures the validity of the collected data.

[0058] Make security judgments on valid data and issue alarms on invalid data.

[0059] In step S2, independence judgment is performed on the monitoring items to determine whether the data changes of each monitoring item are independent, including the following steps:

[0060] S21. Determine the data type monitored by the sensor based on the monitoring item. The data type refers to a specific indicator on a device monitored by the sensor. For example, a temperature sensor monitors temperature, but there may be multiple devices in the molten salt energy storage system that require temperature detection. Therefore, it is necessary to further clarify the device corresponding to the sensor and the indicator item on the corresponding device. For example, indicator item b on device a.

[0061] S22, obtain the control items, system items and safety items in the molten salt energy storage system, and match the data type monitored by the sensor with the control items, system items and safety items, determine the data category of the monitoring data, and make targeted judgments based on the data category of the monitoring data to determine the independence of each monitoring item. Among them, control items: indicator items for manual input adjustment control; system items: indicator items set internally to ensure the normal operation of the molten salt energy storage system; safety items: indicator items used to determine whether the equipment is operating normally. For example, the control items include indicator items a, b, and c on device a, and the monitoring data is indicator item b on device a. Then the data type of the monitoring data matches the control item, thereby determining that the data category of the monitoring data is a control item.

[0062] Among them, S22 also includes:

[0063] S23, if the data category of the monitoring data is a control item, determining that the data change of the corresponding monitoring item is independent;

[0064] S24, if the data category of the monitoring data is a system item, the data orientation of the system item is judged to determine the independence of the corresponding monitoring item; wherein, data orientation includes result orientation and process orientation. When the data orientation of the system item is judged to be result orientation, the corresponding monitoring data is judged to be not independent. When the data orientation of the system item is judged to be process orientation, the corresponding monitoring data is judged to be independent. Result orientation is the process of obtaining the data value of the system item from multiple other data after the system is running; process orientation is the operation process in which the data of the system item participates in the operation calculation of other data. For example, if the stepping motor steps in two-dimensional space and the monitoring item is only the stepping coordinate point of the x-axis or y-axis, it is judged to be process orientation, that is, independent. If the monitoring item is the joint result of the x-axis and y-axis (x, y), it is judged to be result orientation, that is, not independent.

[0065] S25, if the data type of the monitoring data is a safety item, the stability of the influencing source of the safety item is judged, and the independence of the corresponding monitoring item is determined according to the stability of the influencing source; wherein, if the influencing source is stable, the monitoring item is independent.

[0066] In this embodiment, the monitoring item itself is judged to clarify the type of data monitored by the sensor, and the judged data type is then matched with the data category in the molten salt energy storage system to determine the data category monitored by the sensor. Different judgment methods are adopted according to different data categories, so as to accurately and effectively judge the independence of the monitoring data.

[0067] For example, a temperature sensor monitors temperature. However, in a molten salt energy storage system, there may be multiple devices that require temperature detection. Therefore, it is necessary to further clarify the device to which the sensor corresponds and the indicator item on the corresponding device. Suppose the sensor corresponds to indicator item b on device a.

[0068] After determining the data type of each sensor, the corresponding data category is determined by comparing the sensor data type with the category of the molten salt energy storage system's own indicator items. For example, indicator item b on device a in the molten salt energy storage system is a control item. Since the size of the control item's data is manually input based on actual needs and should not change with changes in other data, this monitoring data is determined to be independent.

[0069] Similarly, if the monitoring data is classified as a system item, the data orientation of the system item needs to be determined to determine whether the data is a fixed value or a value influenced by other data. If it is a fixed value, it is determined to be independent; conversely, if it is a value influenced by other data, it is determined to be non-independent. For example, if the monitoring data is the step displacement of a stepper motor, if the step displacement is a fixed value, that is, each time the stepper motor control system is activated, the stepper motor moves to the corresponding position, then the monitoring data is determined to be independent. Conversely, if the step displacement is a data value obtained by identifying the collected image a, the data value of the monitoring data is variable, and therefore the monitoring data is determined to be non-independent. The non-independent data is supplemented with corresponding data using the influence item. For example, if the data value after the influence a is identified is a1, to convert a1 into the step displacement of the stepper motor, data conversion is required, and a1 is used as the supplementary data for the monitoring data.

[0070] Similarly, for safety items, since safety items are only affected by the influencing source, when the influencing source is stable, the corresponding monitoring data is also stable, thereby confirming the independence of the monitoring item.

[0071] In S25, if the data type of the monitoring data is a security item, a stability judgment is performed on the influencing source of the security item, and the independence of the corresponding monitoring item is determined based on the stability of the influencing source; if the influencing source is stable, the monitoring item is independent, including the following steps:

[0072] S251, if the data type of the monitoring data is a safety item, obtain the threshold data of the safety item, and determine the data accuracy of the corresponding indicator item based on the threshold data, and mark the data accuracy as safety accuracy; the higher the safety accuracy, the stricter the corresponding data requirements, and the smaller the allowable change in the difference data.

[0073] S252, selecting the monitoring data according to the security item, determining the data difference between any two time points, and obtaining the difference data;

[0074] S253 compares the difference data with the safety accuracy to determine the multiple relationship between the difference data and the safety accuracy. This multiple relationship is then compared with the built-in standard data. If the multiple relationship is greater than the standard data, the influencing source is determined to be unstable; otherwise, the influencing source is determined to be stable. For example, if the difference between any two time points is 1 and the safety accuracy is 0.1, the multiple relationship is 10. If the standard data is 5, it indicates instability; conversely, if the standard data is 10, it indicates stability.

[0075] In this embodiment, the accuracy requirement of the safety item for the data is determined by performing an accuracy judgment on the threshold data of the safety item, and the data change of the influencing source corresponding to the monitoring data is determined by performing a difference calculation on the monitoring data at any two time points. By performing a multiple relationship judgment on the difference data and the safety accuracy and comparing it with the standard data, it is determined whether the change of the influencing source is within the range of the accuracy requirement. When the change of the influencing source is within the range of the accuracy requirement, it is determined that the influencing source is stable, which further indicates that the monitoring item corresponding to the influencing source is independent, thereby improving the accuracy of the judgment of the independence of the monitoring item.

[0076] For example, since the data value of the security item is affected by the influencing source, and the influencing source is not absolutely fixed, it is necessary to determine the stability of the security item by determining whether the change of the influencing source is stable.

[0077] For example, if the safety threshold of the safety item is 5, the judgment accuracy is 1. The value at time point a is 5, and the value at time point b is 6, then the difference data is 1, and the corresponding multiple relationship is 1. If the standard data is 5, it indicates that the impact source is stable.

[0078] If the safety threshold of the safety item is 5.0, the judgment accuracy is 0.1. When the difference data is 1, the corresponding multiple relationship is 10. If the standard data is 5, it indicates that the influencing source is unstable.

[0079] By analogy, if the security threshold of the security item is 5.00, the judgment accuracy is 0.01, and the multiple relationship is 100.

[0080] Similarly, for example, when measuring temperature, a difference of one degree in 1,000 degrees Celsius has a different meaning than a difference of one degree in 100 degrees Celsius. A difference of one degree in 1,000 degrees Celsius has a smaller impact, while a difference of one degree in 100 degrees Celsius has a larger impact.

[0081] In step S3, the monitoring data of the independent monitoring items are judged for data validity to determine the validity of the corresponding monitoring data, including the following steps:

[0082] S31, if the independent monitoring item is a safety item, obtaining specification data of the sensor, and determining accuracy data of the sensor based on the specification data;

[0083] S32, obtaining threshold data corresponding to the monitoring item of the sensor, and determining the safety accuracy of the corresponding monitoring item based on the threshold data;

[0084] S33, comparing the accuracy data of the sensor with the safety accuracy, and making an effective judgment on the monitoring data based on the comparison relationship to determine the validity of the monitoring data.

[0085] Among them, S33 is specifically:

[0086] S33a: If the sensor's accuracy data is greater than the safety accuracy, the monitoring data collected by the sensor is processed based on the safety accuracy to obtain first data to be judged. The first data to be judged is judged for regularity, and the validity of the monitoring data is determined based on the regularity of the first data to be judged. If the data changes in the first data to be judged are regular, the monitoring data of the monitoring item is determined to be valid; otherwise, the monitoring data of the monitoring item is determined to be invalid. Because the data is rounded off, the resulting data changes less, making it easier to show regularity. For example, 5.4, 5.3, 5.2, 4.9, 4.8, and 4.6 all round to 5, showing regularity.

[0087] S33b: If the sensor's accuracy data is equal to the safety accuracy, then data analysis is performed on the monitoring data to determine whether the monitoring data exhibits regularity, and based on the regularity of the monitoring data, the validity of the monitoring data is determined. The data analysis can utilize existing machine learning algorithms. When high accuracy is required, the data can vary significantly with the same data, making it difficult to demonstrate regularity. For example, selecting any random number between 4.5 and 5.4 is unlikely to demonstrate regularity.

[0088] Among them, if the monitoring data has regularity, the monitoring data of the monitoring item is determined to be invalid; otherwise, the monitoring data of the monitoring item is determined to be valid.

[0089] In this embodiment, the accuracy data of the sensor is compared with the accuracy requirement of the molten salt energy storage system for the monitoring item to determine the change pattern of the data under different requirements. When the accuracy data of the sensor is greater than the safety accuracy, the regularity of the data value processed by the system is determined by judging the regularity. When the accuracy data of the sensor is equal to the safety accuracy, the regularity of the raw data detected by the sensor is determined by judging the regularity. Then, according to different accuracy requirements, the validity of the data collected by the sensor is judged under different regularities, so that the judgment result is more accurate and effective.

[0090] For example, since the change of the influencing source is irregular, the detection results of the sensor are also irregular. However, the detection results presented by the change of the influencing source are related to the accuracy of the sensor. For example, if the temperature data is 123456 degrees Celsius, if the accuracy is 1, the displayed data will be 123456. If the accuracy is 10, the displayed data will be 123.47 thousand degrees Celsius. If the accuracy is 100, the displayed data will be 123,500 degrees Celsius. And so on.

[0091] Therefore, by determining the sensor's accuracy and the molten salt energy storage system's accuracy requirements for this indicator, we determine the analysis scenarios under different conditions. If the sensor's accuracy exceeds the safety accuracy, it indicates that the sensor's detected data needs to be processed for accuracy, and the processed data is then used for judgment. Furthermore, since the influencing source corresponding to the sensor is stable, the processed data results exhibit a certain regularity.

[0092] For example, if the safety accuracy is 1, the sensor accuracy is 0.1, and the standard data is 10, then when the influencing source is stable, the maximum data error caused by the sensor is 1. For example, if the data detected by the sensor in a normal state is 5, the data change of the influencing source should vary between 4, 5, and 6, showing a certain regularity.

[0093] If the sensor's accuracy data equals the safety accuracy, the irregularity of the source's changes will also cause the sensor's collected data to be irregular. For example, the sensor's collected data may be 5.4, 5.3, 5.1, 5.0, 4.8, 5.6, and so on, fluctuating around 5. However, each fluctuation results in a different pattern, making it impossible to determine regularity. On the other hand, if the sensor's collected data is 5, 5, 5, 5, 5, it may be a false detection caused by a sensor failure, rendering the sensor's collected data invalid.

[0094] Among them, S3 also includes:

[0095] S34, if the monitoring item with independence is a control item, then the monitoring data of the corresponding monitoring item is judged to be aggregated, and the aggregated data is obtained, and the aggregated data is compared with the control data of the corresponding control item to determine the validity of the monitoring data of the monitoring item; if the aggregated data is the same as the control data, the monitoring data of the monitoring item is determined to be valid; conversely, if the aggregated data is different from the control data, the monitoring data of the monitoring item is determined to be invalid. Among them, the validity of the data is not equivalent to the security of the data. For example, data 4, 5, 6, 6, 5, 4, aggregated to 5, and the control data is also 5, then it is determined to be valid, and if the fluctuation range is ±0.5, then data 4 and data 6 will trigger a danger alarm. Similarly, if the data is invalid, it means that the sensor cannot monitor the molten salt energy storage system normally, so a corresponding alarm is required.

[0096] S35, if the independent monitoring item is a system item, then performing a data change judgment on the monitoring data of the corresponding monitoring item to determine whether the data has changed. If the data has not changed, then the monitoring data of the monitoring item is determined to be valid;

[0097] In this embodiment, the different data change characteristics of different data categories are used to judge the validity of the monitoring data. By performing a clustering judgment on the monitoring data of the control items, the relationship between the clustered data and the control data is determined, and then whether the monitoring data of the control items is valid is determined. Similarly, a data change judgment is performed on the system items, and the validity of the corresponding data is determined based on whether the data has changed; a data regularity judgment is performed on the security items, and the validity of the corresponding data is determined based on the regularity, so that targeted judgments are made according to different data categories, thereby improving the accuracy of the data validity judgment results, and thereby improving the accuracy of the system security judgment based on the data.

[0098] For example, when the monitoring item is a control item, due to a certain error between the system control data and the actual machine operation data, the sensor detected data fluctuates. Therefore, it is necessary to determine this error. If the trends presented by the multiple collected data show a convergence, and if the converged data value is the same as the system-set data value, it indicates that the data of the monitoring item is fluctuating around the control data. For example, if the converged data value is 5, 6, 5, 4, 4, 5, 6, and the actual control data is also 5, then the monitoring data of the monitoring item is valid, and the safety of the monitoring data can be determined.

[0099] When the monitoring item is a system item, it is independent only when the data orientation of the system item is process-oriented. If the data orientation of the system item is process-oriented, the data of the corresponding system item is fixed, so the data detected by the sensor should also be fixed. At the same time, since the data is a system item, the sensor extracts the data. When the extracted data remains unchanged, it indicates that the data is valid, so the data can be further judged to determine the security of the data.

[0100] When the monitoring item is a safety item, since the data change of the safety item will only occur under the fluctuation of the influencing source, and the fluctuation of the influencing source is irregular, the data obtained by the sensor monitoring the safety item is also irregular. Therefore, by judging the regularity of the monitoring data, the validity of the monitoring data can be judged quickly and effectively.

[0101] In step S4, data extraction is performed on the influencing sources that have an impact on the monitoring items that are not independent to obtain supplementary data, and the supplementary data and the corresponding monitoring data are jointly judged to determine the validity of the monitoring data, including the following steps:

[0102] S41, mark the influencing source that affects the monitoring item that does not have independence as the source to be judged, and perform data change judgment on the source to be judged to determine whether the data of the source to be judged has changed, and obtain a first change result; wherein the first change result is that the data has changed or the data has not changed.

[0103] S42, performing data change judgment on the monitoring data to determine whether the monitoring data has changed, and obtaining a second change result; wherein the second change result is that the data has changed or the data has not changed.

[0104] S43, based on the time data, matches the first change result with the second change result. If the first change result is the same as the second change result, the data of the source to be determined at the corresponding time is compared with the monitoring data of the corresponding monitoring item for a change trend and a change amount, to determine the data change relationship between the source to be determined and the monitoring item. The change relationship is such that as the data of the source to be determined increases, the data of the corresponding monitoring item also increases / decreases; and the change amount is such that the greater the change in the data of the source to be determined, the greater / smaller the change in the data of the corresponding monitoring item. This is to determine whether each change in the data of the monitoring item will change with the change in the influencing source.

[0105] S44: Determine the validity of the corresponding monitoring item data based on the data change relationship between the source to be determined and the monitoring item. Specifically, if the data of the source to be determined and the monitoring item have a change relationship in both the change trend and the change amount, then the monitoring data of the monitoring item is determined to be valid; if the data of the source to be determined and the monitoring item do not have a change relationship in either the change trend or the change amount, then the monitoring data of the monitoring item is determined to be invalid.

[0106] S45. According to the time data, if the first change result is different from the second change result at the same time, the monitoring data of the monitoring item is divided according to the data change of the source to be judged, and the monitoring sub-data corresponding to the data change of the source to be judged are obtained; the monitoring sub-data include the first monitoring sub-data and the second monitoring sub-data; wherein, the data change of the source to be judged includes data change and data no change.

[0107] S46, determining a change trend of the first monitoring sub-data and the second monitoring sub-data, and obtaining a first change trend and a second change trend accordingly;

[0108] S47, judge the first change trend of each data in the first monitoring sub-data, determine whether the change trends of each data in the first monitoring sub-data are the same, and obtain a first judgment result; judge the second change trend of each data in the second monitoring sub-data, and obtain a second judgment result; since each data in the first monitoring sub-data is divided according to the change of the source to be judged in different time periods, the first monitoring sub-data is a data set in different time periods, and the change trend of the data in each time period is judged, thereby obtaining a first judgment result.

[0109] S48, determining the validity of the monitoring data based on the first judgment result, the second judgment result, and the comparison relationship between the first judgment result and the second judgment result. Specifically, if the data change trends in each time period of the first judgment result and the second judgment result are the same, then the first judgment result is compared with the second judgment result to determine whether the first judgment result and the second judgment result are the same; if the first judgment result and the second judgment result are different, then the monitoring data of the monitoring item is determined to be valid; otherwise, then the monitoring data of the monitoring item is determined to be invalid; if the first judgment result is different or the second judgment result is different, then the monitoring data of the monitoring item is determined to be invalid.

[0110] In this embodiment, by performing data change judgment on the data of the source to be judged and the monitoring data of the monitoring item, it is clear whether the source to be judged has an impact on the monitoring item. Then, by performing data change trend judgment and change amount judgment on the source to be judged and the monitoring item at the same time, the calculation of data values is reduced, thereby simply and quickly judging whether the data change of the source to be judged has an impact on the data change of the monitoring item. At the same time, since the data of the source to be judged is changing, if an impact occurs, the data of the monitoring item will also change, thereby judging the validity of the data collected by the sensor. When the first change result is different from the second change result, the monitoring data of the monitoring item is divided by using the data change of the source to be judged, and the change trend result of the divided data is judged, thereby quickly and effectively judging whether the data impact of the source to be judged on the monitoring item forms a contradictory relationship with the impact of the source to be judged on the monitoring item, thereby quickly judging the validity of the monitoring data, and improving the accuracy of the safety judgment of the molten salt energy storage system.

[0111] For example, the monitoring item that does not have independence is a, and the influencing source that affects the monitoring item is b. Then the monitoring data of a is judged, and the data of b is judged to determine whether the data of the monitoring item a has changed, and to determine whether the data of the source b to be judged has changed.

[0112] Match the data change results at the same time. For example, at the first time point, if the data of the source to be determined, b, changes, and the data of the monitoring item, a, also changes, then the first change result is determined to be the same as the second change result. Therefore, the next step is to determine the relationship between the data change of the source to be determined, b, and the data change of the monitoring item, a. For example, if the data of the source to be determined, b, increases, the corresponding data of the monitoring item, a, will decrease; the more the data of the source to be determined, b, increases, the more the corresponding data of the monitoring item, a, decreases. This determines the relationship between each data change of the source to be determined, b, and the monitoring item, a.

[0113] When the data of monitoring item a changes with the data of source b to be determined, the data of monitoring item a is determined to be valid;

[0114] When the data of monitoring item a does not change with the change of the data of source b to be determined, it is determined that the data of monitoring item a is invalid.

[0115] Similarly, when the results of data changes are different at the same time, for example, at the first time point, the data of the source b to be judged has changed, while the data of the monitoring item a has not changed, and at the second time point, the data of the source b to be judged has not changed, while the data of the monitoring item a has changed, then it is determined that the first change result is different from the second change, and the data of the monitoring item a is divided according to the time period in which the change occurs and the time period in which the change does not occur in the source b to be judged, thereby obtaining the first monitoring sub-data and the second monitoring sub-data in the corresponding time period.

[0116] The first monitoring sub-data and the second monitoring sub-data are subjected to a data change trend determination. For example, if the data in the first monitoring sub-data exhibit an upward trend, while the data in the second monitoring sub-data exhibit a constant trend, the first determination result is matched with the second determination result. Since the first monitoring sub-data and the second monitoring sub-data are data sets for different time periods, when determining the trend of the first monitoring sub-data, the trend of change for each time period is determined. Therefore, it is necessary to perform a uniqueness determination on the first determination result and the second determination result to determine whether the data changes for each time period in the first determination result are the same. For example, if the first determination result has two time periods, and if time period a shows an upward trend and time period b also shows an upward trend, then the data changes for each time period in the first determination result are determined to be the same. If time period a shows an upward trend and time period b shows a downward trend, then the data changes for each time period in the first determination result are determined to be different. The same determination is performed on the second determination result.

[0117] When the first judgment result and the second judgment result are the same, by comparing the first judgment result with the second judgment result, since the first judgment result and the second judgment result are the data changes of the monitoring item under two different change states of the source to be judged, if the first judgment result is the same as the second judgment result, it indicates that the data change of the monitoring item is not related to the source to be judged, and thus there is a contradiction with the relationship between the source to be judged and the monitoring item, so it is determined that the data collected by the sensor is wrong, and the monitoring data is invalid.

[0118] Based on the description of the embodiment of the molten salt energy storage optimization management method based on nuclear power waste heat, the embodiment of the present invention further discloses a molten salt energy storage optimization management system based on nuclear power waste heat:

[0119] like Figure 2 As shown, a molten salt energy storage optimization management system based on nuclear power waste heat, by applying the above-mentioned molten salt energy storage optimization management method based on nuclear power waste heat, includes: a screening module 1, a data analysis module 2 and a safety judgment module 3;

[0120] Screening module 1 monitors the molten salt energy storage system using various sensors according to the monitoring items to obtain the monitoring data of the corresponding sensors; it makes an independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent;

[0121] Data analysis module 2 performs data validity judgment on the monitoring data of independent monitoring items to determine the validity of the corresponding monitoring data; extracts data on the influencing sources that affect the monitoring items that do not have independence to obtain supplementary data, and jointly judges the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data;

[0122] Safety judgment module 3, if the monitoring data is valid, uses the threshold judgment method to make a safety judgment on the monitoring data to determine the safety of the molten salt energy storage system; if it is determined that the molten salt energy storage system is not safe, it outputs a corresponding alarm signal according to the monitoring item corresponding to the monitoring data.

[0123] Compared with the existing molten salt energy storage optimization management method and system based on nuclear power waste heat, the present invention improves the accuracy of safety judgment.

[0124] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for optimizing and managing molten salt energy storage based on nuclear power waste heat, characterized in that: include: Step S1: monitor the molten salt energy storage system using various sensors according to the monitoring items to obtain monitoring data of the corresponding sensors; Step S2: perform independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent; Step S3, performing data validity judgment on the monitoring data of the independent monitoring items to determine the validity of the corresponding monitoring data; Step S4: extract data from the influencing sources that affect the monitoring items that are not independent, obtain supplementary data, and make a joint judgment on the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data; Step S5: If the monitoring data is valid, a threshold judgment method is used to perform a safety judgment on the monitoring data to determine the safety of the molten salt energy storage system; Step S6: If it is determined that the molten salt energy storage system is not safe, a corresponding alarm signal is output according to the monitoring item corresponding to the monitoring data.

2. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 1, characterized in that: Step S2 is specifically as follows: Step S21, determining the data type monitored by the sensor based on the monitoring item; the data type refers to an indicator on a certain device monitored by the sensor; Step S22: Obtain the control items, system items, and safety items in the molten salt energy storage system, match the data types monitored by the sensor with the control items, system items, and safety items, determine the data category of the monitoring data, and make targeted judgments based on the data category of the monitoring data to determine the independence of each monitoring item.

3. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 2, characterized in that: Step S22 is specifically as follows: If the data type of the monitored data is a safety item, the threshold data of the safety item is obtained, and the data accuracy of the corresponding indicator item is determined according to the threshold data, and the data accuracy is marked as safety accuracy; According to the safety item, the monitoring data is selected, the data difference between any two time points is determined, and the difference data is obtained; Compare the difference data with the safety accuracy, determine the multiple relationship between the difference data and the safety accuracy, and compare the multiple relationship with the built-in standard data. If the multiple relationship is greater than the standard data, it is determined that the influencing source is unstable; Otherwise, the influencing source is determined to be stable.

4. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 3, characterized in that: Step S3 is specifically as follows: Step S31: If the independent monitoring item is a safety item, obtain the specification data of the sensor and determine the accuracy data of the sensor based on the specification data; Step S32, obtaining threshold data corresponding to the monitoring item of the sensor, and determining the safety accuracy of the corresponding monitoring item according to the threshold data; Step S33: Compare the sensor's accuracy data with the safety accuracy, and make an effective judgment on the monitoring data based on the comparison relationship to determine the validity of the monitoring data.

5. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 4, characterized in that: Step S33 is specifically as follows: If the accuracy data of the sensor is greater than the safety accuracy, the monitoring data collected by the sensor is processed according to the safety accuracy to obtain first data to be judged, regularity judgment is performed on the first data to be judged, and whether the monitoring data is valid is determined based on the regularity of the first data to be judged; If the accuracy data of the sensor is equal to the safety accuracy, data analysis is performed on the monitoring data to determine whether the monitoring data has regularity, and whether the monitoring data is valid is determined based on the regularity of the monitoring data.

6. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 5, characterized in that: Step S4 is specifically as follows: Mark the influencing source that affects the monitoring item that does not have independence as a source to be judged, and perform data change judgment on the source to be judged to determine whether the data of the source to be judged has changed, thereby obtaining a first change result; Performing data change judgment on the monitoring data to determine whether the monitoring data has changed, and obtaining a second change result; According to the time data, the first change result is matched with the second change result. If the first change result is the same as the second change result, the data of the source to be judged at the corresponding time and the monitoring data of the corresponding monitoring item are judged for change trend and change amount to determine the data change relationship between the source to be judged and the monitoring item; Determine the validity of the corresponding monitoring item data based on the data change relationship between the source to be judged and the monitoring item.

7. The method for optimizing and managing molten salt energy storage based on nuclear power waste heat according to claim 6, characterized in that: Step S4 further includes: According to the time data, if the first change result and the second change result at the same time are different, the monitoring data of the monitoring item is divided according to the data change of the source to be determined, and monitoring sub-data corresponding to the data change of the source to be determined are obtained; the monitoring sub-data include first monitoring sub-data and second monitoring sub-data; Performing change trend judgment on the first monitoring sub-data and the second monitoring sub-data, and correspondingly obtaining a first change trend and a second change trend; Judging a first change trend of each data in the first monitoring sub-data to determine whether the change trends of each data in the first monitoring sub-data are the same, thereby obtaining a first judgment result; judging a second change trend of each data in the second monitoring sub-data to obtain a second judgment result; The validity of the monitoring data is determined based on the first judgment result, the second judgment result, and the comparative relationship between the first judgment result and the second judgment result.

8. A molten salt energy storage optimization management system based on nuclear power waste heat, characterized in that: The system is used to implement a molten salt energy storage optimization management method based on nuclear power waste heat as described in any one of claims 1 to 7: comprising: a screening module, a data analysis module and a safety judgment module; The screening module uses various sensors to monitor the molten salt energy storage system according to the monitoring items and obtains the monitoring data of the corresponding sensors; it also makes an independence judgment on the monitoring items to determine whether the data changes of each monitoring item are independent; The data analysis module judges the validity of the monitoring data of independent monitoring items to determine the validity of the corresponding monitoring data; extracts data from the influencing sources that affect non-independent monitoring items to obtain supplementary data, and jointly judges the supplementary data and the corresponding monitoring data to determine the validity of the monitoring data; The safety judgment module uses a threshold judgment method to judge the safety of the monitoring data if the monitoring data is valid, and determines the safety of the molten salt energy storage system; if the molten salt energy storage system is determined to be unsafe, it outputs a corresponding alarm signal based on the monitoring item corresponding to the monitoring data.

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