Method and system for evaluating single event effect resistance of storage unit of relay protection device

Abstract

The invention discloses a method and system for evaluating the single event effect resistance of a storage unit of a relay protection device, and the method comprises the steps: obtaining the index data of the relay protection device in different dimensions based on the altitude, latitude and solar activity period of an area where the relay protection device is located; determining a single event effect risk value based on the index data of the different dimensions and the weights of the different dimensions; and evaluating the relay protection device based on the single event effect risk value, and determining an evaluation result. According to the method, the single event effect anomaly level of the relay protection devices applied in different regions can be evaluated, so that targeted defect elimination is adopted at proper time, and an operation and maintenance unit is guided to take targeted reinforcement measures.

Description

Technical Field

[0001] The present invention relates to the technical field of reliability assessment of relay protection devices in power systems, and more specifically, to a method and system for evaluating the anti-single event effect of the storage unit of a relay protection device. Background Art

[0002] As an indispensable infrastructure in modern society, the development of the power grid is crucial for ensuring the operation of the national economy and the safety of people's lives. However, with the continuous expansion of the power grid scale and the continuous update of technology, the fault characteristics of the power grid have become complex. To adapt to the development of the power grid, relay protection has entered the era of microcomputer protection, the protection functions have become more and more diverse, and the programs and structures have become more and more complex. On the basis of ensuring the real-time performance of relay protection, meeting the development needs of the power grid, and supporting the requirements of intelligence, networking, and platformization of relay protection, there are a wide variety of components in the equipment, and the performance of its components is constantly enhanced.

[0003] After more than 30 years of development and application of microcomputer protection, its hardware architecture mode has been continuously developed. At present, relay protection manufacturers at home and abroad mainly adopt the following several architecture modes for control protection devices according to different application principles and objects: single CPU (DSP) mode, multi-CPU mode, CPU + DSP mode, multi-processor (CPU or DSP) mode. A typical microcomputer protection device mainly consists of 8 types of plugins, including a CPU plugin, a process layer interface plugin (intelligent station), an ADC plugin (conventional station), a power supply plugin, a bus interface plugin, a man-machine plugin, an input / output plugin (input, output, signal), and an AC input plugin (acquisition). The components involved mainly consist of seven categories: CPU, FPGA, ADC, storage components, power supply components, communication components, and other components. Optical ports or relays, etc. are involved in the input / output plugin and the process layer interface plugin.

[0004] With the improvement of component integration, the operating voltage decreases, the anti-interference ability declines, and the unit soft error rate of components shows an upward trend. On the other hand, the relay protection function is enhanced, the number of intelligent boards increases, and the scale of the components included becomes larger and larger, further increasing the overall soft error rate of the relay protection device, which may lead to a decline in the reliability of the device, and even incorrect operation, endangering the safe and stable operation of the power grid. This problem has gradually become non-negligible.

[0005] Single-event effect (SEU) is usually triggered by high-energy particles (such as neutrons or protons in cosmic rays). These particles generate charges in semiconductor devices, causing changes in the states of storage cells. The higher the altitude, the thinner the atmosphere, the weaker the shielding effect, and the increasing intensity of cosmic rays. Therefore, altitude is positively correlated with the SEU incidence rate. In terms of latitude, the Earth's magnetic field is the strongest near the equator and the weakest at the poles. Therefore, there are more cosmic rays in high-latitude regions (near the poles), resulting in a higher SEU incidence rate. The solar activity cycle is about 11 years. During the peak of solar activity, the solar wind is stronger, which may reduce the number of galactic cosmic rays entering the Earth, thereby reducing the SEU incidence rate; while during the trough period, more cosmic rays enter, increasing the SEU risk.

[0006] Currently, there is no reliability evaluation method for the anti-SEU of relay protection devices. Summary of the Invention

[0007] The present invention proposes a method and system for evaluating the anti-single-event effect of the storage unit of a relay protection device to solve the problem of how to evaluate the anti-single-event effect of the storage unit of a relay protection device.

[0008] To solve the above problems, according to one aspect of the present invention, there is provided a method for evaluating the anti-single-event effect of the storage unit of a relay protection device, the method comprising:

[0009] Based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtain index data of the relay protection device in different dimensions;

[0010] Based on the index data in different dimensions and the weights in different dimensions, determine the single-event effect risk value;

[0011] Based on the single-event effect risk value, evaluate the relay protection device to determine the evaluation result.

[0012] Preferably, based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtaining the index data of the relay protection device in different dimensions includes:

[0013] In the altitude dimension, use the following formula to obtain altitude index data, including:

[0014]

[0015] In the latitude dimension, use the following formula to obtain latitude index data, including:

[0016]

[0017] In the solar activity cycle dimension, use the following formula to obtain solar activity cycle index data, including:

[0018] S(t) = S0 - k * SSN(t + Δt),

[0019] where A(h) is the altitude index data when the altitude of the relay protection device is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak of neutron flux; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the solar activity cycle influence index data of the relay protection device; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

[0020] Preferably, the single - event effect risk value is determined based on the index data of different latitudes and the weights of different latitudes, including:

[0021] SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)),

[0022] where SRI is the single - event effect risk value; A(h) is the altitude index data when the altitude of the relay protection device is h; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the solar activity cycle index data of the relay protection device affected by the solar activity cycle; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension respectively.

[0023] Preferably, the relay protection device is evaluated based on the single - event effect risk value to determine the evaluation result, including:

[0024] If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures;

[0025] If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to use components with ECC technology and regularly restart and reset the device for hardware reinforcement;

[0026] If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology;

[0027] If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology, and use light - element shielding materials for the device cabinet or protection cubicle for reinforcement.

[0028] According to another aspect of the present invention, there is provided a system for evaluating the anti-single event effect of a storage unit of a relay protection device, the system comprising:

[0029] An exponential data acquisition unit, configured to acquire exponential data of the relay protection device in different dimensions based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located;

[0030] A single event effect risk value determination unit, configured to determine a single event effect risk value based on the exponential data in different dimensions and the weights of different dimensions;

[0031] An evaluation unit, configured to evaluate the relay protection device based on the single event effect risk value and determine an evaluation result.

[0032] Preferably, the exponential data acquisition unit acquires exponential data of the relay protection device in different dimensions based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, including:

[0033] In the altitude dimension, the altitude exponential data is acquired using the following formula, including:

[0034]

[0035] In the latitude dimension, the latitude exponential data is acquired using the following formula, including:

[0036]

[0037] In the solar activity cycle dimension, the solar activity cycle exponential data is acquired using the following formula, including:

[0038] S(t) = S0 - k * SSN(t + Δt),

[0039] where A(h) is the altitude exponential data when the altitude of the relay protection device is h; A0 is the altitude exponential at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude exponential at the peak of neutron flux; L(w) is the dimension exponential data when the dimension of the relay protection device is w; S(t) is the exponential data of the relay protection device affected by the solar activity cycle; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

[0040] Preferably, the single event effect risk value determination unit determines a single event effect risk value based on the exponential data in different dimensions and the weights of different dimensions, including:

[0041] SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)),

[0042] wherein, SRI is the single event effect risk value; A(h) is the altitude index data when the altitude where the relay protection device is located is h; L(w) is the latitude index data when the latitude where the relay protection device is located is w; S(t) is the solar activity cycle index data affected by the solar activity cycle of the relay protection device; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension respectively.

[0043] Preferably, the evaluation unit evaluates the relay protection device based on the single event effect risk value to determine the evaluation result, including:[[]]

[0044] If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures;

[0045] If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to use components with ECC technology and regularly restart and reset the device for hardware reinforcement;

[0046] If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology;

[0047] If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology, and use light element shielding materials for the device cabinet or protection cubicle for reinforcement.

[0048] Based on another aspect of the present invention, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods for evaluating the anti-single event effect of the storage unit of the relay protection device are implemented.

[0049] Based on another aspect of the present invention, the present invention provides an electronic device, including:[[]]

[0050] The above-mentioned computer-readable storage medium; and

[0051] One or more processors for executing the program in the computer-readable storage medium.

[0052] The present invention provides a method and system for evaluating the anti-single event effect of the storage unit of a relay protection device, including: obtaining the index data of the relay protection device in different dimensions based on the altitude, latitude and solar activity cycle of the area where the relay protection device is located; determining the single event effect risk value based on the index data in different dimensions and the weights in different dimensions; and evaluating the relay protection device based on the single event effect risk value to determine the evaluation result. The present invention can evaluate the abnormal level of the single event effect of the relay protection device applied in different regions, so as to take targeted defect elimination at the appropriate time and guide the operation and maintenance unit to take targeted strengthening measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The exemplary embodiments of the present invention can be more fully understood by referring to the following drawings:

[0054] Figure 1 FIG. is a flowchart of a method 100 for evaluating the anti-single event effect of the storage unit of a relay protection device according to an embodiment of the present invention;

[0055] Figure 2 FIG. is a flowchart of evaluating the anti-single event effect of the storage unit of a relay protection device according to an embodiment of the present invention;

[0056] Figure 3 FIG. is a schematic structural diagram of a system 300 for evaluating the anti-single event effect of the storage unit of a relay protection device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] Now, the exemplary embodiments of the present invention will be introduced with reference to the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the drawings are not intended to limit the present invention. In the drawings, the same unit / element uses the same reference numeral.

[0058] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the ordinary meaning understood by those skilled in the art. In addition, it can be understood that the terms defined in the commonly used dictionary should be understood as having a meaning consistent with the context of their related fields, and should not be understood as idealized or overly formal meanings.

[0059] Figure 1 FIG. is a flowchart of a method 100 for evaluating the anti-single event effect of the storage unit of a relay protection device according to an embodiment of the present invention. As Figure 1As shown, the method for evaluating the single-event effect resistance of the storage unit of a relay protection device provided by the embodiment of the present invention can evaluate the abnormal level of the single-event effect of relay protection devices applied in different regions, so as to take targeted defect elimination at an appropriate time and guide the operation and maintenance unit to take targeted strengthening measures. The method 100 for evaluating the single-event effect resistance of the storage unit of a relay protection device provided by the embodiment of the present invention starts from step 101. In step 101, based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, index data of the relay protection device in different dimensions is obtained.

[0060] Preferably, obtaining the index data of the relay protection device in different dimensions based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located includes:

[0061] In the altitude dimension, the altitude index data is obtained using the following formula, including:

[0062]

[0063] In the latitude dimension, the latitude index data is obtained using the following formula, including:

[0064]

[0065] In the solar activity cycle dimension, the solar activity cycle index data is obtained using the following formula, including:

[0066] S(t) = S0 - k * SSN(t + Δt),

[0067] where A(h) is the altitude index data when the altitude of the area where the relay protection device is located is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak neutron flux; L(w) is the dimension index data when the dimension of the area where the relay protection device is located is w; S(t) is the index data of the relay protection device affected by the solar activity cycle; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

[0068] In step 102, based on the index data in different dimensions and the weights of different dimensions, the single-event effect risk value is determined.

[0069] Preferably, determining the single-event effect risk value based on the index data in different dimensions and the weights of different dimensions includes:

[0070] SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)),

[0071] Among them, SRI is the single-event effect risk value; A(h) is the altitude index data when the altitude of the relay protection device is h; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the solar activity cycle index data affected by the solar activity cycle of the relay protection device; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension, respectively.

[0072] Combined with Figure 2 Therefore, the method of the present invention can determine the index data from three dimensions of the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, and comprehensively determine the single-event effect risk value SRI.

[0073] Altitude has a significant impact on neutron flux. According to multiple studies, neutron flux increases with altitude, but tends to saturate after exceeding a certain height. For example, studies have shown that neutron flux reaches its maximum value at an altitude of about 18 km. Therefore, in the present invention, the altitude index data can be calculated by the following formula:

[0074]

[0075] Among them, A0 is the altitude index at sea level, which is taken as 7 according to the measured value, and k a is the growth coefficient, which needs to be adjusted in combination with parameters such as the power application scenario, latitude, and solar activity. According to the measured value, the value of k a is 0.5029 (see the attachment). K a2 is the attenuation coefficient. Since the current power application scenarios are all within 18 km above sea level, the situation of altitude index attenuation is not considered.

[0076] In the process of solving the equation of the influence of altitude on neutron flux in the present invention, it can be known from the measured data that neutron flux continuously increases with the increase of altitude, reaches the peak value at a position 18 km from the ground, and then continuously decreases with the continuous increase of altitude.

[0077] Considering the actual application environment of power equipment, only considering the situation of neutron flux increasing with altitude, the measured data is as follows: when x = 0, y = 7; when x = 5, y = 226; when x = 10, y = 1068; when x = 15, y = 1721; when x = 20, y = 1670;

[0078] At this time, it can be known by plotting points on the coordinate axis that it satisfies the power exponential function, so it can be assumed that:

[0079]

[0080] Among them, A0 is the altitude index at sea level, which is taken as 7 according to the measured value, and k a is the growth coefficient, and k can be obtained by fitting using the least squares method through a simulation toola The value of 0.509*h is 0.5029. Therefore, we can obtain: A(h) = 7 * e

[0081] Latitude also has a certain impact on the neutron flux. The lower the latitude (near the equator), the greater the geomagnetic cutoff rigidity, and the higher the proportion of high-energy charged particles being shielded, resulting in a decrease in the primary cosmic rays entering the atmosphere and a reduction in the secondary neutron flux; the higher the latitude (near the poles), the geomagnetic cutoff rigidity approaches zero, and more cosmic rays enter the atmosphere, leading to a significant increase in the neutron flux.

[0082] After repeatedly fitting the relationship equation between the collected data and the dimension, no suitable relationship was found. Considering that within the territory of China, the latitude span is from 3°N to 53°N, and the dimension influence index range is 5 - 10. Therefore, a piecewise function is adopted:

[0083]

[0084] where w is the latitude of the location of the device.

[0085] Solar cycle activity has a significant impact on the neutron flux. Solar activity has a cycle of approximately 11 years. During the period of frequent solar activity, the neutron flux is less because the enhanced solar magnetic field reduces the entry of cosmic rays. The sunspot number and the neutron flux are inversely correlated, that is, when solar activity increases (more sunspots), the neutron flux decreases, and vice versa. This inverse correlation is attributed to the scattering effect of the magnetic field on cosmic rays. In addition, the change in the cosmic ray flux lags behind solar activity, and the lag time is different for different cycles. Therefore:

[0086] S(t) = S0 - k * SSN(t + Δt)

[0087] where S0 is the baseline neutron flux during the solar activity minimum; k is an empirical coefficient used to adjust the degree of influence of the sunspot number (SSN) on the neutron flux; SSN is the sunspot number, which is an indicator to measure the level of solar activity; Δt is the time delay (there is a lag effect of about 6 - 12 months for the modulation of solar activity on GCR).

[0088] Since the sunspot SSN quantity model is very complex, considering that the average solar cycle activity is one cycle in 11 years, the solar cycle parameter model is simplified, and S is taken as an integer between 1 and 11. When the sun is most active, considering a 1-year lag effect, S = 2. Since the secondary electrical equipment, especially the relay protection device, generally operates in the indoor protection cubicle, the influence of environmental factors (such as snow cover, soil moisture) is not considered for the time being.

[0089] In the method of the present invention, after determining the index data of the three dimensions, the single-event effect risk value SRI is determined using the following formula:

[0090] SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)),

[0091] where A(h) is the altitude index data when the altitude where the relay protection device is located is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak neutron flux; L(w) is the latitude index data when the latitude where the relay protection device is located is w; S(t) is the solar activity cycle index data affected by the solar activity cycle of the relay protection device; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

[0092] In addition, in the present invention, by evaluating the influence of each influencing factor on the comprehensive risk index, through multiple regression analysis, the slope ratio of the influence of altitude, latitude, and solar cycle activity on SRI is obtained as 0.5:0.1:1. Therefore, in the present invention, k1 = 0.3, k2 = 0.1, and k3 = 0.6 can be taken.

[0093] At 103, the relay protection device is evaluated based on the single-event effect risk value to determine the evaluation result.

[0094] Preferably, evaluating the relay protection device based on the single-event effect risk value to determine the evaluation result includes:

[0095] If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures;

[0096] If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to use components with ECC technology and regularly restart and reset the device for hardware reinforcement;

[0097] If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology;

[0098] If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology, and use light element shielding materials for the device cabinet or protection cubicle for reinforcement.

[0099] Combined Figure 2As shown, in the present invention, targeted reinforcement strategies are adopted according to the SRI scores of the protection device in different regions and at different times. When the SRI score is between 0 and 2, no additional reinforcement measures are required; when the SRI score is between 2 and 4, components with ECC technology need to be used for the device hardware and the device needs to be restarted regularly to restore it; when the SRI score is between 4 and 6, software reinforcement technologies such as redundant verification need to be adopted on the basis of the hardware ECC technology of the device; when the SRI is greater than 6, on the basis of software and hardware reinforcement, light element shielding materials need to be adopted for the device cabinet or protection cubicle to further reinforce.

[0100] The present invention can evaluate the risk of SEU occurring in the storage unit of the protection device by combining the solar activity cycle and the sunspot level in a certain lag period before and the current neutron flux sampling value; through the current solar activity cycle and the sunspot level, the impact of future high-energy neutron flux on electrical equipment can be predicted. The influence of storage soft errors can be eliminated by means of regular restart, and the cycle can be set to half a year or set according to the prediction of the solar cycle.

[0101] When not considering the influence of the solar cycle activity, the evaluated SRI values calculated by the present invention for the devices operating in high-altitude and high-latitude regions are significantly higher than those of the devices in low-altitude and low-latitude regions, which highly coincides with the distribution of the number of on-site accident cases, proving the effectiveness of the method of the present invention.

[0102] Figure 3 FIG. 300 is a schematic structural diagram of a system for evaluating the single-event effect resistance of a storage unit of a relay protection device according to an embodiment of the present invention. As Figure 3 shown, the system 300 for evaluating the single-event effect resistance of a storage unit of a relay protection device provided by the embodiment of the present invention includes: an exponential data acquisition unit 301, a single-event effect risk value determination unit 302, and an evaluation unit 303.

[0103] Preferably, the exponential data acquisition unit 301 is configured to obtain exponential data of the relay protection device in different dimensions based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located.

[0104] Preferably, the exponential data acquisition unit 301, based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtains exponential data of the relay protection device in different dimensions, including:

[0105] In the altitude dimension, the altitude exponential data is obtained by using the following formula, including:

[0106]

[0107] In the latitude dimension, the latitude exponential data is obtained by using the following formula, including:

[0108]

[0109] In the dimension of the solar activity cycle, solar activity cycle index data is utilized using the following formula, including:

[0110] S(t) = S0 - k * SSN(t + Δt),

[0111] where A(h) is the altitude index data when the altitude of the relay protection device is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak neutron flux; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the index data of the relay protection device affected by the solar activity cycle; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

[0112] Preferably, the single - event effect risk value determination unit 302 is used to determine the single - event effect risk value based on the index data of different dimensions and the weights of different dimensions.

[0113] Preferably, the single - event effect risk value determination unit 302 determines the single - event effect risk value based on the index data of different dimensions and the weights of different dimensions, including:

[0114] SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)),

[0115] where SRI is the single - event effect risk value; A(h) is the altitude index data when the altitude of the relay protection device is h; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the solar activity cycle index data of the relay protection device affected by the solar activity cycle; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension respectively.

[0116] Preferably, the evaluation unit 303 is used to evaluate the relay protection device based on the single - event effect risk value and determine the evaluation result.

[0117] Preferably, the evaluation unit 303 evaluates the relay protection device based on the single - event effect risk value and determines the evaluation result, including:[[]]

[0118] If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures;

[0119] If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to adopt components with ECC technology and regularly restart and reset the device for hardware reinforcement;

[0120] If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement by adopting redundant verification software while performing hardware reinforcement on the hardware ECC technology;

[0121] If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement by adopting redundant verification software while performing hardware reinforcement on the hardware ECC technology, and adopt light element shielding materials for the device cabinet or protection cubicle for reinforcement.

[0122] The system 300 for evaluating the single - event effect resistance of the storage unit of the relay protection device in the embodiment of the present invention corresponds to the method 100 for evaluating the single - event effect resistance of the storage unit of the relay protection device in another embodiment of the present invention, which will not be elaborated here.

[0123] Based on another aspect of the present invention, the present invention provides a computer - readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the steps of any one of the methods for evaluating the single - event effect resistance of the storage unit of the relay protection device.

[0124] Based on another aspect of the present invention, the present invention provides an electronic device, including:

[0125] The above - mentioned computer - readable storage medium; and

[0126] One or more processors for executing the program in the computer - readable storage medium.

[0127] The present invention has been described by referring to a few embodiments. However, as is known to those skilled in the art, other embodiments equivalent to those disclosed above of the present invention equally fall within the scope of the present invention.

[0128] Generally, all terms used in the present invention are interpreted according to their ordinary meanings in the technical field, unless otherwise clearly defined therein. All references to "a / the / this [device, component, etc.]" are open - endedly interpreted as at least one instance of the device, component, etc., unless otherwise clearly stated. The steps of any method disclosed here do not necessarily need to be run in the exact order disclosed, unless clearly stated.

[0129] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0130] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0131] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement without departing from the spirit and scope of the present invention should be covered by the protection scope of the present invention.

Claims

1. A method for evaluating the anti-single event effect of the storage unit of a relay protection device, characterized in that, The method includes: Based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtaining index data of the relay protection device in different dimensions; Determining the single-event effect risk value based on the index data in different dimensions and the weights in different dimensions; Evaluating the relay protection device based on the single-event effect risk value to determine the evaluation result.

2. The method according to claim 1, wherein Based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtaining index data of the relay protection device in different dimensions, including: In the altitude dimension, using the following formula to obtain altitude index data, including: In the latitude dimension, using the following formula to obtain latitude index data, including: In the solar activity cycle dimension, using the following formula to obtain solar activity cycle index data, including: S(t) = S0 - k * SSN(t + Δt), where A(h) is the altitude index data when the altitude of the relay protection device is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak neutron flux; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the index data of the relay protection device affected by the solar activity cycle; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

3. The method according to claim 1, wherein Determining the single-event effect risk value based on the index data in different dimensions and the weights in different dimensions, including: SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)), where SRI is the single-event effect risk value; A(h) is the altitude index data when the altitude of the relay protection device is h; L(w) is the latitude index data when the latitude of the relay protection device is w; S(t) is the solar activity cycle index data affected by the solar activity cycle of the relay protection device; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension, respectively.

4. The method according to claim 1, characterized in that, Evaluating the relay protection device based on the single-event effect risk value to determine the evaluation result, including: If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures; If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to use components with ECC technology and regularly restart and reset the device for hardware reinforcement; If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology; If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology, and use light element shielding materials for the device cabinet or protection cubicle for reinforcement.

5. A system for evaluating the single-event effect resistance of the storage unit of a relay protection device, characterized in that, The system includes: An index data acquisition unit for obtaining index data of the relay protection device in different dimensions based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located; A single-event effect risk value determination unit for determining the single-event effect risk value based on the index data in different dimensions and the weights in different dimensions; An evaluation unit for evaluating the relay protection device based on the single-event effect risk value to determine the evaluation result.

6. The system according to claim 5, wherein The index data acquisition unit, based on the altitude, latitude, and solar activity cycle of the area where the relay protection device is located, obtains index data of the relay protection device in different dimensions, including: In the altitude dimension, using the following formula to obtain altitude index data, including: In the latitude dimension, using the following formula to obtain latitude index data, including: In the solar activity cycle dimension, using the following formula to obtain solar activity cycle index data, including: S(t) = S0 - k * SSN(t + Δt), Among them, A(h) is the altitude index data when the altitude where the relay protection device is located is h; A0 is the altitude index at sea level; k a is the growth coefficient; K a2 is the attenuation coefficient; A max is the altitude index at the peak of neutron flux; L(w) is the latitude index data when the latitude where the relay protection device is located is w; S(t) is the index data of the relay protection device affected by the solar activity cycle; S0 is the baseline neutron flux during the solar minimum; k is the empirical coefficient; SSN is the sunspot number; Δt is the time delay.

7. The system according to claim 5, characterized in that, The single-event effect risk value determination unit determines the single-event effect risk value based on exponential data of different dimensions and weights of different dimensions, including: SRI = (k1 * A(h)) * (k2 * L(w)) * (k3 * S(t)), where SRI is the single-event effect risk value; A(h) is the altitude exponential data when the altitude where the relay protection device is located is h; L(w) is the dimension exponential data when the dimension where the relay protection device is located is w; S(t) is the solar activity cycle exponential data affected by the solar activity cycle of the relay protection device; k1, k2, and k3 are the weights of the altitude dimension, latitude dimension, and solar activity cycle dimension respectively.

8. The system according to claim 5, wherein The evaluation unit evaluates the relay protection device based on the single-event effect risk value to determine the evaluation result, including: If 0 ≤ SRI < 2 is satisfied, it is determined that the evaluation result is that the relay protection device does not need to take reinforcement measures; If 2 ≤ SRI < 4 is satisfied, it is determined that the evaluation result is that the relay protection device needs to use components with ECC technology and regularly restart and reset the device for hardware reinforcement; If 4 ≤ SRI < 6 is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology; If 6 ≤ SRI is satisfied, it is determined that the evaluation result is that the relay protection device needs to perform software reinforcement using redundant verification software while performing hardware reinforcement on the hardware ECC technology, and use light element shielding materials for the device cabinet or protection cubicle for reinforcement.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, the steps of the method described in any one of claims 1-4 are implemented.

10. An electronic device, characterized in that, Including: The computer-readable storage medium described in claim 9; And One or more processors for executing the program in the computer-readable storage medium.

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