Power risk assessment method and device, computer, storage medium and program product

Abstract

The invention discloses a power risk assessment method and device, a computer, a storage medium and a program product. The method comprises the steps of obtaining power basic data of a site to be subjected to risk assessment; determining values of a plurality of power risk assessment factors according to the power basic data; determining a risk assessment value of the site to be subjected to risk assessment according to the plurality of power utilization safety assessment factors, wherein the risk assessment value is used for representing the probability of a fire risk of the site to be subjected to risk assessment; and determining target alarm information according to the risk assessment value and a plurality of risk degree thresholds, wherein the target alarm information is used for informing a user of a power risk assessment result. The power basic data of the site to be subjected to risk assessment is quantified, and finally the risk degree of the potential safety hazard of the site to be subjected to risk assessment is determined according to the quantified power risk assessment value, so that the accuracy of power risk assessment is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electricity safety assessment, and in particular to an electricity risk assessment method, device, computer, storage medium and program product. Background Art

[0002] With the extensive use of facilities such as rooftop distributed photovoltaics and parking garage electric vehicle (electric cars, electric bicycles) charging piles, sites connected to low-voltage power grids may have power safety hazards, including poor contact, insulation degradation, fault arcs, etc. These hazards may cause electrical fires, which will seriously affect people's property and life safety once a fire occurs. How to achieve accurate assessment of power risks is a problem that needs to be solved at present. Summary of the invention

[0003] The embodiments of the present application provide a power risk assessment method, device, computer, storage medium and program product, which quantifies the basic power data of the risk assessment site and finally determines the risk level of safety hazards occurring in the risk assessment site based on the quantified power risk assessment value, thereby helping to improve the accuracy of power risk assessment.

[0004] In a first aspect, an embodiment of the present application provides a method for evaluating power risk, the method comprising:

[0005] Obtain basic power data of the site to be risk assessed;

[0006] Determining values ​​of a plurality of power risk assessment factors according to the power basic data;

[0007] Determine a risk assessment value of the site to be risk assessed according to the multiple electricity safety assessment factors, wherein the risk assessment value is used to indicate the risk level of potential safety hazards occurring at the site to be risk assessed;

[0008] Target warning information is determined according to the risk assessment value and multiple risk level thresholds, and the target warning information is used to inform the user of the power risk assessment result.

[0009] In a second aspect, an embodiment of the present application provides a power risk assessment device, the device comprising:

[0010] An acquisition module is used to obtain basic power data of the site to be risk assessed;

[0011] A processing module is used to determine the values ​​of multiple power risk assessment factors based on the power basic data; and to determine the risk assessment value of the site to be risk assessed based on the multiple electricity safety assessment factors, and the risk assessment value is used to represent the probability of fire risk occurring in the site to be risk assessed; and to determine target alarm information based on the risk assessment value and multiple risk level thresholds, and the target alarm information is used to inform users of power risk assessment results.

[0012] In a third aspect, an embodiment of the present application provides a computer, including:

[0013] A memory, a processor, and an electric power risk assessment program stored in the memory and executable on the processor, wherein the electric power risk assessment program is configured to implement part or all of the steps described in any method in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a power risk assessment program is stored. When the power risk assessment program is executed by a processor, some or all of the steps described in any method in the first aspect are implemented.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in any method of the first aspect of the embodiment of the present application. The computer program product can be a software installation package.

[0016] By implementing the embodiment of the present application, the server of the power risk assessment system first obtains the basic power data of the site to be risk assessed; then determines the values ​​of multiple power risk assessment factors based on the basic power data; then determines the risk assessment value of the site to be risk assessed based on multiple power safety assessment factors, and the risk assessment value is used to indicate the risk level of potential safety hazards in the site to be risk assessed; finally, the target alarm information is determined based on the risk assessment value and multiple risk level thresholds, and the target alarm information is used to inform the user of the power risk assessment result. By quantifying the basic power data of the site to be risk assessed, and finally determining the risk level of potential safety hazards in the site to be risk assessed based on the quantified power risk assessment value, it is beneficial to improve the accuracy of power risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background technology, the drawings required for use in the embodiments of the present application or the background technology will be described below.

[0018] Figure 1 It is a schematic diagram of the architecture of an electric power risk assessment system provided in an embodiment of the present application;

[0019] Figure 2 is a flow chart of a power risk assessment method provided by an embodiment of the present application;

[0020] Figure 3 is a schematic diagram of an alarm information provided by an embodiment of the present application;

[0021] Figure 4 It is a structural schematic diagram of a power risk assessment device provided in an embodiment of the present application;

[0022] Figure 5 It is a structural diagram of a computer provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. According to the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0024] The terms "first", "second", "third", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0025] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0026] With the extensive use of facilities such as rooftop distributed photovoltaics and parking garage electric vehicle (electric cars, electric bicycles) charging piles, sites connected to low-voltage power grids may have power safety hazards, including poor contact, insulation degradation, fault arcs, etc. These hazards may cause electrical fires, which will seriously affect people's property and life safety once a fire occurs. How to achieve accurate assessment of power risks is a problem that needs to be solved at present.

[0027] In response to the above problems, the embodiments of the present application provide a method, device, equipment, storage medium and program product for power risk assessment. The server of the power risk assessment system first obtains the basic power data of the site to be risk assessed; then determines the values ​​of multiple power risk assessment factors based on the basic power data; then determines the risk assessment value of the site to be risk assessed based on multiple power safety assessment factors, and the risk assessment value is used to indicate the risk level of potential safety hazards in the site to be risk assessed; finally, the target alarm information is determined based on the risk assessment value and multiple risk level thresholds, and the target alarm information is used to inform the user of the power risk assessment results. By quantifying the basic power data of the site to be risk assessed, and finally determining the risk level of potential safety hazards in the site to be risk assessed based on the quantified power risk assessment value, it is beneficial to improve the accuracy of power risk assessment.

[0028] The power risk assessment method, device, equipment, storage medium and program product provided in the embodiments of the present application can be applied to Figure 1 In the electrical risk assessment system shown, see Figure 1 , Figure 1 It is a schematic diagram of the architecture of an electric power risk assessment system provided in an embodiment of the present application. The electric power risk assessment system 100 includes a terminal 101 and a server 102. The terminal 101 can communicate with the server 102 through a network. The terminal 101 refers to a device used by a user, such as a smart phone, a computer, etc. In this solution, the terminal 101 provides an interface for the user to interact with the electric power risk assessment system 100. Through the terminal 101, the user can interact with the electric power risk assessment system 100, receive the target alarm information sent from the server 102 after processing and calculation, and display it on the user interface. The user can understand in real time through the terminal 101 what potential safety hazards or problems exist in the site to be assessed, and take corresponding measures.

[0029] Server 102 refers to a remote computer used to process a large number of computing tasks and store data. In this solution, server 102 is responsible for obtaining basic power data of the site to be evaluated from various data sources (such as power suppliers, sensor equipment, etc.), including DC bus voltage U(t), DC bus current I(t), system insulation resistance to ground R(t), DC junction cabinet temperature W(t), DC junction cabinet smoke alarm information Q(t), etc. Server 102 calculates and analyzes the collected basic power data to determine multiple risk assessment factor values ​​related to power safety, and then determines the risk assessment value based on multiple power safety assessment factors: Finally, by comprehensively considering the weights and values ​​of multiple power safety assessment factors, the risk assessment value of the site to be risk assessed is calculated. Server 102 is also used to compare the calculated risk assessment value with different pre-set risk level thresholds to determine the corresponding level of target alarm information. This information will provide users with prompts or warnings about the current safety status of the site and possible problems or hidden dangers.

[0030] Based on this, the present application provides a power risk assessment method, device, equipment, storage medium and program product, and the present application is described in detail below in conjunction with the accompanying drawings.

[0031] See also Figure 2 , Figure 2 is a flow chart of a power risk assessment method provided in an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:

[0032] S201, obtaining basic power data of the site to be risk assessed.

[0033] Among them, the basic power data includes voltage data, current data, resistance data, temperature data and smoke alarm data.

[0034] Exemplarily, the site to be risk assessed is a low-voltage power consumption site of a rooftop distributed photovoltaic system, and data from the low-voltage power consumption site is collected. The basic power data includes the DC bus voltage U(t), DC bus current I(t), system-to-ground insulation resistance R(t), DC junction box temperature W(t), and DC junction box smoke alarm information Q(t) collected by the photovoltaic power generation monitoring system.

[0035] S202: Determine values ​​of multiple power risk assessment factors according to the power basic data.

[0036] Among them, the multiple power risk assessment factors include voltage risk assessment factor, current risk assessment factor, resistance risk assessment factor, temperature risk assessment factor, smoke risk assessment factor and arc risk assessment factor.

[0037] In a possible implementation, determining the values ​​of multiple power risk assessment factors according to the power basic data includes:

[0038] Determine the value of the voltage risk assessment factor based on the voltage data, the first voltage threshold and the second voltage threshold; determine the value of the current risk assessment factor based on the current data, the first current threshold and the second current threshold; determine the value of the resistance risk assessment factor based on the resistance data and multiple resistance thresholds; determine the value of the temperature risk assessment factor based on the temperature data, the first temperature threshold, the second temperature threshold and the third temperature threshold; determine the value of the smoke risk assessment factor based on the smoke alarm data; determine the value of the arc risk assessment factor based on the current data.

[0039] Among them, an evaluation factor set including multiple power risk assessment factors is constructed, represented by Y, Y = {y1, y2, y3, y4, y5, y6},

[0040] Among them, Y is the fire risk level; y1 represents the voltage risk factor, which is determined by the DC bus voltage U(t) of the rooftop distributed photovoltaic system, and U(t) can be directly collected. y2 represents the current risk factor, which is determined by the DC bus current I(t) of the rooftop distributed photovoltaic system, and I(t) can be directly collected. y3 represents the insulation resistance risk factor, which is determined by the insulation resistance R(t) of the rooftop distributed photovoltaic system to the ground, and I(t) can be directly collected; y4 represents the temperature risk factor, which is determined by the temperature W(t) in the DC combiner cabinet of the rooftop distributed photovoltaic system, and W(t) can be directly collected. y5 represents the arc risk factor, which represents the fire risk characteristics caused by the fault arc. This value is determined by the energy entropy after the current signal I(t) is decomposed. y6 represents the smoke risk factor, which represents the correlation between the smoke alarm Q(t) of the DC combiner cabinet of the rooftop distributed photovoltaic system and the occurrence of fire and other problems. The information on whether the alarm is transmitted from the smoke sensor to the background monitoring system for collection.

[0041] It can be seen that in this example, converting multiple basic power data into specific indicators, and then setting different thresholds and calculating corresponding risk assessment factor values ​​based on real-time monitoring data is conducive to the refined quantitative analysis of various potential safety hazards.

[0042] In a possible implementation, determining the value of the voltage risk assessment factor according to the voltage data, the first voltage threshold, and the second voltage threshold includes:

[0043] The first voltage threshold is obtained according to the product of the first voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; the second voltage threshold is obtained according to the product of the second voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; when it is detected that the voltage data is less than the second voltage threshold, the value of the voltage risk assessment factor is determined to be the first voltage risk assessment factor value; when it is detected that the voltage data is not less than the second voltage threshold and not greater than the first voltage threshold, the value of the voltage risk assessment factor is determined to be the second voltage risk assessment factor value; when it is detected that the voltage data is greater than the first voltage threshold, the value of the voltage risk assessment factor is determined to be the third voltage risk assessment factor value.

[0044] The first voltage coefficient and the second voltage coefficient may be set by the user in the terminal, and the user may set the corresponding voltage risk assessment factor value at the same time.

[0045] Exemplarily, since undervoltage is one of the characteristics of the occurrence of a series arc, the present invention is set as follows:

[0046] 90%U N ≤U(t)≤110%U N , then y1=2;

[0047] U(t)<90%U N , then y1=7;

[0048] U(t)>110%U N , then y1=5;

[0049] At this time, 0.9 is the second voltage coefficient, 1.1 is the first voltage coefficient, the first voltage risk assessment factor value is 7, the second voltage risk assessment factor value is 2, the third voltage risk assessment factor value is 5, U N It is the rated value of the DC bus voltage of the rooftop distributed photovoltaic system.

[0050] It can be seen that in this example, different thresholds are calculated based on the rated voltage of the DC bus at the site to be risk assessed and the first and second voltage coefficients. This enables the voltage risk assessment factor to be personalized based on the characteristics of the specific site, and then the voltage risk assessment factor value is determined based on different thresholds and voltage data, thereby improving the accuracy of risk assessment.

[0051] In a possible implementation, determining the value of the current risk assessment factor according to the current data, the first current threshold, and the second current threshold includes:

[0052] The first current threshold is obtained according to the product of the first current coefficient and the rated current of the DC bus of the site to be risk assessed; the second current threshold is obtained according to the product of the second current coefficient and the rated current of the DC bus of the site to be risk assessed; when it is detected that the current data is less than the second current threshold, the value of the current risk assessment factor is determined to be the first current risk assessment factor value; when it is detected that the current data is not less than the second current threshold and not greater than the first current threshold, the value of the current risk assessment factor is determined to be the second current risk assessment factor value; when it is detected that the current data is greater than the first current threshold, the value of the current risk assessment factor is determined to be the third current risk assessment factor value.

[0053] The first current coefficient and the second current coefficient may be set by the user at the terminal, and the user may set the corresponding current risk assessment factor value at the same time.

[0054] Exemplarily, since undercurrent is also one of the characteristics of the occurrence of a series arc, the present invention is set as follows:

[0055] 90%I N ≤I(t)≤110%I N , then y2=2;

[0056] I(t)<90%I N , then y2=7;

[0057] I(t)>110%I N , then y2=5;

[0058] At this time, 0.9 is the second current coefficient, 1.1 is the first current coefficient, the first current risk assessment factor value is 7, the second current risk assessment factor value is 2, the third current risk assessment factor value is 5, I N It is the rated value of the DC bus current of the rooftop distributed photovoltaic system.

[0059] It can be seen that in this example, different thresholds are calculated based on the rated current of the DC bus at the site to be risk assessed and the first and second current coefficients. This enables the current risk assessment factor to be personalized based on the characteristics of the specific site, and then the current risk assessment factor value is determined based on different thresholds and current data, thereby improving the accuracy of risk assessment.

[0060] In a possible implementation, determining the value of the resistance risk assessment factor according to the resistance data and a plurality of resistance thresholds includes:

[0061] The first resistance threshold is obtained according to the product of the first resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; the second resistance threshold is obtained according to the product of the second resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; the third resistance threshold is obtained according to the product of the third resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; the fourth resistance threshold is obtained according to the product of the fourth resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; when it is detected that the resistance data is not greater than the fourth resistance threshold, the value of the resistance risk assessment factor is determined to be the first resistance risk assessment factor value; when it is detected that the resistance data is greater than the fourth resistance threshold and not greater than the third resistance threshold, the value of the resistance risk assessment factor is determined to be the second resistance risk assessment factor value; when it is detected that the resistance data is greater than the third resistance threshold and not greater than the second resistance threshold, the value of the resistance risk assessment factor is determined to be the third resistance risk assessment factor value; when it is detected that the resistance data is greater than the second resistance threshold and not greater than the first resistance threshold, the value of the resistance risk assessment factor is determined to be the fourth resistance risk assessment factor value.

[0062] Among them, the first resistance coefficient, the second resistance coefficient, the third resistance coefficient and the fourth resistance coefficient can be set by the user in the terminal, and the user can set the corresponding resistance risk assessment factor value at the same time.

[0063] For example, taking the low-voltage power consumption scenario of a rooftop distributed photovoltaic system as an example, the corresponding relationship of the resistance risk assessment factor value is as follows:

[0064] 80%R N <R(t)≤100%R N , then y3=2;

[0065] 60%R N <R(t)≤80%R N , then y3=5;

[0066] 30%R N <R(t)≤60%R N , then y3=7;

[0067] 0≤R(t)≤30%R N , then y3=9;

[0068] At this time, 0.3 is the fourth resistance coefficient, 0.6 is the third resistance coefficient, 0.8 is the second resistance coefficient, 1 is the first resistance coefficient, the first resistance risk assessment factor value is 9, the second resistance risk assessment factor value is 7, the third resistance risk assessment factor value is 5, the fourth resistance risk assessment factor value is 2, R N It is the standard value of ground insulation of rooftop distributed photovoltaic system.

[0069] It can be seen that in this example, different thresholds are calculated based on the standard resistance of the site to be risk-assessed and the ground insulation and multiple resistivity coefficients, enabling the resistance risk assessment factor to be personalized according to the characteristics of the specific site. Then, the value of the resistance risk assessment factor is determined based on different thresholds and resistance data, improving the accuracy of the risk assessment.

[0070] In a possible implementation manner, determining the value of the temperature risk assessment factor according to the temperature data, the first temperature threshold, the second temperature threshold, and the third temperature threshold includes:

[0071] Obtaining the first temperature threshold by multiplying the first temperature coefficient by the average temperature within a fixed time period of the site to be risk-assessed; obtaining the second temperature threshold by multiplying the second temperature coefficient by the average temperature within a fixed time period of the site to be risk-assessed; obtaining the third temperature threshold by multiplying the third temperature coefficient by the average temperature within a fixed time period of the site to be risk-assessed; when it is detected that the temperature data is not greater than the third temperature threshold, determining that the value of the temperature risk assessment factor is the first temperature risk assessment factor value; when it is detected that the temperature data is greater than the third temperature threshold and not greater than the second temperature threshold, determining that the value of the temperature risk assessment factor is the second temperature risk assessment factor value; when it is detected that the temperature data is greater than the second temperature threshold and not greater than the first temperature threshold, determining that the value of the temperature risk assessment factor is the third temperature risk assessment factor value; when it is detected that the temperature data is greater than the first temperature threshold, determining that the value of the temperature risk assessment factor is the fourth temperature risk assessment factor value.

[0072] Among them, the first temperature coefficient, the second temperature coefficient, and the third temperature coefficient can be set by the user at the terminal, and the user can set the corresponding temperature risk assessment factor values at the same time.

[0073] Among them, the fixed time period can be one year, one month, or one week, and there is no limitation here.

[0074] Exemplarily, the risk factor y4 of the temperature inside the DC busbar cabinet is determined by the following formula:

[0075] W(t) ≤ 100%W N , then y4 = 2;

[0076] 100%W N <W(t) ≤ 140%W N , then y4 = 5;

[0077] 140%W N <W(t) ≤ 180%W N , then y4 = 7;

[0078] 180%W N <W(t), then y4 = 10;

[0079] Among them, the third temperature coefficient is 1, the second temperature coefficient is 1.4, the third temperature coefficient is 1.8, the first temperature risk assessment factor value is 2, the second temperature risk assessment factor value is 5, the third temperature risk assessment factor value is 7, the fourth temperature risk assessment factor value is 10, W N is the average temperature of the rooftop distributed photovoltaic system throughout the year.

[0080] It can be seen that in this example, different thresholds are calculated based on the average temperature and multiple temperature coefficients within a fixed time period of the site to be risk assessed. This enables the temperature risk assessment factor to be personalized according to the characteristics of the specific site, and then the temperature risk assessment factor value is determined based on different thresholds and temperature data, thereby improving the accuracy of risk assessment.

[0081] In a possible implementation, when the smoke alarm sounds an alarm, the smoke alarm data is a first value, and when the smoke alarm does not sound an alarm, the smoke alarm data is a second value, and determining the value of the smoke risk assessment factor according to the smoke alarm data includes:

[0082] When the smoke alarm data is detected as a first value, the smoke risk assessment factor is a first smoke risk assessment factor value; when the smoke alarm data is detected as a second value, the smoke risk assessment factor is a second smoke risk assessment factor.

[0083] For example, the risk factor y6 of smoke in the DC combiner cabinet is determined by the following formula:

[0084] Q(t)=0, then y6=2;

[0085] Q(t)=1, then y6=10;

[0086] Among them, Q(t)=1 indicates that the smoke alarm sounds an alarm, and Q(t)=0 at other times.

[0087] It can be seen that in this example, according to the set first and second smoke risk assessment factor values, the smoke risk existing in the site can be quantitatively assessed, which is conducive to accurately understanding the degree of fire threat that may exist in the area to be assessed.

[0088] In a possible implementation, determining a value of an arc risk assessment factor according to the current data includes:

[0089] Performing an improved adaptive noise complete set empirical mode decomposition on the current data to obtain multiple intrinsic mode components; obtaining the ratio of the energy of the multiple intrinsic mode components to the total energy of the multiple intrinsic mode components; obtaining the cosine similarity calculation results of the multiple intrinsic mode components and the current of the DC bus of the risk assessment site; determining the eigenmode component with the smallest similarity in the calculation results as the boundary mode component; obtaining a first ratio of the energy of the boundary mode component to the total energy of the multiple intrinsic mode components; determining a first energy entropy of the boundary mode component based on the first ratio; determining a second energy entropy of a target intrinsic mode component among the multiple intrinsic mode components based on the energy of the multiple intrinsic mode components, the energy entropy of the target intrinsic mode component being the maximum energy entropy among the multiple intrinsic mode components; obtaining the product of the absolute value of the quotient of the first energy entropy and the second energy entropy and the arc coefficient, the product being the arc risk assessment factor value.

[0090] Among them, the improved adaptive noise complete ensemble empirical mode decomposition is a method for signal processing and analysis, which combines adaptive noise complete ensemble empirical mode decomposition and noise-guided technology, aiming to better handle noise and interference in non-stationary signals.

[0091] Specifically, calculating the arc risk factor includes the following steps:

[0092] Step 1: Perform an improved adaptive noise complete ensemble empirical mode decomposition (ICEEMDAN decomposition) on the collected DC bus current signal I(t) of the rooftop distributed photovoltaic system to obtain F intrinsic mode components (IMFs).

[0093] The eigenmode components are expressed as follows:

[0094]

[0095] In the formula, I 1 (t), I 2 (t),…,I j (t)…, I F (t) is the F modal components obtained by decomposition.

[0096] Step 2: Calculate the energy of the F modal components separately, as follows:

[0097]

[0098] Among them, I j,i is the amplitude of the i-th frequency of the j-th modal component signal; n is the frequency number of the current signal in the frequency band between 10kHz and 100kHz.

[0099] Among them, the energy set of the modal component N={N 1 ,N 2 ,…N F}, calculate the total energy of the current signal

[0100] Step 3: Filter out the boundary mode components from the F IMFs. The screening method is as follows:

[0101] Calculate the cosine similarity s between F IMFs and the normal signal j , as follows:

[0102]

[0103] Wherein, Z(t) is the DC bus current signal of the rooftop distributed photovoltaic system (i.e., the normal signal mentioned above); T is the total number of data points of the signal; represents the jth modal component I j (t) and the cosine similarity of the DC bus current signal Z(t) of the rooftop distributed photovoltaic system; I j (t) is the jth modal component.

[0104] Among them, take The smallest value in j=1,2,…,F. Min(·) represents a function that takes the minimum value.

[0105] Among them, the minimum cosine similarity s min The corresponding modal component is called the boundary modal component, denoted by I m (t).

[0106] Step 4: Calculate the energy entropy of the boundary modal component. The calculation formula is as follows:

[0107] H bj =-p bj log(p bj );

[0108] In the formula, H bj is the energy entropy of the boundary mode component; is the proportion of the energy of the boundary mode component in the total energy N.

[0109] Step 5: Calculate the characteristic value of arc risk factor. The formula is as follows:

[0110]

[0111] Where C is the arc coefficient, which is generally quantized to [0,10], and H max H j (j=1, 2, ..., F), where Hj The calculation formula is as follows:

[0112] H j =-p j log(p j ).

[0113] It can be seen that in this example, by using the improved adaptive noise complete set empirical mode decomposition, the original signal can be more accurately decomposed into different intrinsic mode functions, which can better capture and express the specific frequency components in the data and improve the accuracy of signal processing. At the same time, by calculating the energy entropy of the boundary mode component, the features related to the arc risk can be extracted from the data, and the possible arc risk can be effectively evaluated using this feature.

[0114] S203: Determine a risk assessment value of the site to be risk assessed according to the multiple electricity safety assessment factors.

[0115] The risk assessment value is used to indicate the risk level of potential safety hazards occurring at the site to be risk assessed.

[0116] In a possible implementation, determining the risk assessment value of the site to be risk assessed according to the multiple electricity safety assessment factors includes:

[0117] Obtain a first weighted value of the first weighted power of the voltage risk assessment factor value; obtain a second weighted value of the second weighted power of the current risk assessment factor value; obtain a third weighted value of the third weighted power of the resistance risk assessment factor value; obtain a fourth weighted value of the fourth weighted power of the temperature risk assessment factor value; obtain a fifth weighted value of the fifth weighted power of the smoke risk assessment factor value; obtain a sixth weighted value of the sixth weighted power of the arc risk assessment factor value; obtain the product of the first weighted value, the second weighted value, the third weighted value, the fourth weighted value, the fifth weighted value and the sixth weighted value, wherein the product is the risk assessment value of the site to be risk assessed.

[0118] Specifically, the calculation formula of the risk assessment value is as follows:

[0119]

[0120] Where A is the risk assessment value of the risk of fire, etc.; yi is the quantitative value of the i-th risk factor; ω i is the weight value of the i-th factor, 0≤ω i ≤1, and Among them, ω i The value of is given by experts in the field of photovoltaic fault diagnosis.

[0121] It can be seen that in this example, by multiplying the weighted calculated values of each evaluation factor to obtain the final risk assessment value, the contribution degrees of different factors to the risk assessment can be comprehensively considered, which is beneficial to more comprehensively evaluate the overall risk level of the site to be risk-assessed and avoid the one-sidedness and misleading caused by a single indicator.

[0122] S204. Determine the target warning information according to the risk assessment value and multiple risk degree thresholds.

[0123] Among them, the target warning information is used to inform the user of the power risk assessment result.

[0124] In a possible implementation manner, the method further includes:

[0125] After determining the target warning information, send the target warning information.

[0126] Among them, the target warning information is sent to the user by means of email, text message, push notification of mobile application, message of online platform, and phone call, etc. The target warning information can be text information or text and picture information.

[0127] Specifically, the target warning information is determined by the risk assessment value A and multiple risk degree thresholds as follows:

[0128] A > 8, level three risk; indicating that there is a great possibility of occurrence or a fire has already occurred and other risks.

[0129] 6.5 < A ≤ 8, level two risk; indicating that a fire may occur, or some faults that may cause a fire may have already occurred.

[0130] 3.5 < W(t) ≤ 6.5, level one risk; indicating that the fire protection situation is average.

[0131] 0 ≤ W(t) ≤ 3.5, low risk; indicating that risks such as fire are very small.

[0132] Among them, the low risk corresponds to a blue signal, the level one risk corresponds to a yellow warning signal, the level two risk corresponds to an orange warning signal, and the level three risk corresponds to a red warning signal.

[0133] Exemplarily, please refer to Figure 3 , Figure 3 which is a schematic diagram of a warning information provided by an embodiment of the present application. As Figure 3As shown in the figure, assume that the user specifies the mobile phone number X to receive the target alarm information in the terminal settings. Then, when the power risk assessment system determines the target alarm information, it can send the following plain text message as the first prompt information: "The current risk level is level 1 risk". This plain text message will be sent to the user via the mobile phone number X preset by the user. After receiving the message, the user will know that the power risk assessment task has been successfully completed, and can further view the relevant results or perform other operations.

[0134] It can be seen that in this example, by sending target alarm information to users, users can quickly obtain the results of power risk assessment, and enhance the user experience through the real-time feedback mechanism.

[0135] See also Figure 4 , Figure 4 is a schematic diagram of the structure of a power risk assessment device provided in an embodiment of the present application, such as Figure 4 As shown, the power risk assessment device 400 includes:

[0136] An acquisition module 401 is used to acquire basic power data of a site to be risk assessed;

[0137] Processing module 402 is used to determine the values ​​of multiple power risk assessment factors based on the power basic data; and to determine the risk assessment value of the site to be risk assessed based on the multiple electricity safety assessment factors, and the risk assessment value is used to represent the probability of fire risk occurring in the site to be risk assessed; and to determine target alarm information based on the risk assessment value and multiple risk level thresholds, and the target alarm information is used to inform the user of the power risk assessment results.

[0138] In a possible implementation, the basic power data includes voltage data, current data, resistance data, temperature data and smoke alarm data, and the multiple power risk assessment factors include voltage risk assessment factor, current risk assessment factor, resistance risk assessment factor, temperature risk assessment factor, smoke risk assessment factor and arc risk assessment factor. In determining the values ​​of multiple power risk assessment factors based on the basic power data, the processing module 402 is specifically used to: determine the value of the voltage risk assessment factor based on the voltage data, the first voltage threshold and the second voltage threshold; determine the value of the current risk assessment factor based on the current data, the first current threshold and the second current threshold; determine the value of the resistance risk assessment factor based on the resistance data and multiple resistance thresholds; determine the value of the temperature risk assessment factor based on the temperature data, the first temperature threshold, the second temperature threshold and the third temperature threshold; determine the value of the smoke risk assessment factor based on the smoke alarm data; determine the value of the arc risk assessment factor based on the current data.

[0139] In one possible implementation, in terms of determining the value of the voltage risk assessment factor based on voltage data, a first voltage threshold and a second voltage threshold, the processing module 402 is specifically used to: obtain the first voltage threshold based on the product of the first voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; obtain the second voltage threshold based on the product of the second voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; when it is detected that the voltage data is less than the second voltage threshold, determine that the value of the voltage risk assessment factor is the first voltage risk assessment factor value; when it is detected that the voltage data is not less than the second voltage threshold and not greater than the first voltage threshold, determine that the value of the voltage risk assessment factor is the second voltage risk assessment factor value; when it is detected that the voltage data is greater than the first voltage threshold, determine that the value of the voltage risk assessment factor is the third voltage risk assessment factor value.

[0140] In one possible implementation, in terms of determining the value of the current risk assessment factor based on current data, a first current threshold and a second current threshold, the processing module 402 is specifically used to: obtain the first current threshold based on the product of the first current coefficient and the rated current of the DC bus of the site to be risk assessed; obtain the second current threshold based on the product of the second current coefficient and the rated current of the DC bus of the site to be risk assessed; when it is detected that the current data is less than the second current threshold, determine that the value of the current risk assessment factor is the first current risk assessment factor value; when it is detected that the current data is not less than the second current threshold and not greater than the first current threshold, determine that the value of the current risk assessment factor is the second current risk assessment factor value; when it is detected that the current data is greater than the first current threshold, determine that the value of the current risk assessment factor is the third current risk assessment factor value.

[0141] In a possible implementation, in terms of determining the value of the resistance risk assessment factor according to the resistance data and multiple resistance thresholds, the processing module 402 is specifically used to: obtain a first resistance threshold according to the product of a first resistance coefficient and a standard resistance of the insulation of the site to be risk assessed to the ground; obtain a second resistance threshold according to the product of a second resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; obtain a third resistance threshold according to the product of a third resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; obtain a fourth resistance threshold according to the product of a fourth resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; when it is detected that the resistance data is not greater than the fourth resistance threshold, determine that the value of the resistance risk assessment factor is the first resistance risk assessment factor value; when it is detected that the resistance data is greater than the fourth resistance threshold and not greater than the third resistance threshold, determine that the value of the resistance risk assessment factor is the second resistance risk assessment factor value; when it is detected that the resistance data is greater than the third resistance threshold and not greater than the second resistance threshold, determine that the value of the resistance risk assessment factor is the third resistance risk assessment factor value; when it is detected that the resistance data is greater than the second resistance threshold and not greater than the first resistance threshold, determine that the value of the resistance risk assessment factor is the fourth resistance risk assessment factor value.

[0142] In a possible implementation, in terms of determining the value of the temperature risk assessment factor according to temperature data, a first temperature threshold, a second temperature threshold and a third temperature threshold, the processing module 402 is specifically used to: obtain the first temperature threshold according to the product of the first temperature coefficient and the average temperature within a fixed time period of the site to be risk assessed; obtain the second temperature threshold according to the product of the second temperature coefficient and the average temperature within a fixed time period of the site to be risk assessed; obtain the third temperature threshold according to the product of the third temperature coefficient and the average temperature within a fixed time period of the site to be risk assessed; when it is detected that the temperature data is not greater than the third temperature threshold, determine that the value of the temperature risk assessment factor is the first temperature risk assessment factor value; when it is detected that the temperature data is greater than the third temperature threshold and not greater than the second temperature threshold, determine that the value of the temperature risk assessment factor is the second temperature risk assessment factor value; when it is detected that the temperature data is greater than the second temperature threshold and not greater than the first temperature threshold, determine that the value of the temperature risk assessment factor is the third temperature risk assessment factor value; when it is detected that the temperature data is greater than the first temperature threshold, determine that the value of the temperature risk assessment factor is the fourth temperature risk assessment factor value.

[0143] In a possible implementation, when the smoke alarm sounds an alarm, the smoke alarm data is a first value, and when the smoke alarm does not sound an alarm, the smoke alarm data is a second value. In determining the value of the smoke risk assessment factor according to the smoke alarm data, the processing module 402 is specifically used to: when it is detected that the smoke alarm data is the first value, the smoke risk assessment factor is a first smoke risk assessment factor value; when it is detected that the smoke alarm data is the second value, the smoke risk assessment factor is a second smoke risk assessment factor.

[0144] In one possible implementation, in terms of determining the value of the arc risk assessment factor based on the current data, the processing module 402 is specifically used to: perform an improved adaptive noise complete set empirical mode decomposition on the current data to obtain multiple intrinsic mode components; obtain the proportion of the energy of the multiple intrinsic mode components to the total energy of the multiple intrinsic mode components; obtain the cosine similarity calculation results of the multiple intrinsic mode components and the current of the DC bus of the risk assessment site; determine the eigenmode component with the smallest similarity in the calculation results as the boundary mode component; obtain the first proportion of the energy of the boundary mode component to the total energy of the multiple intrinsic mode components; determine the first energy entropy of the boundary mode component according to the first proportion; determine the second energy entropy of the target intrinsic mode component among the multiple intrinsic mode components according to the energy of the multiple intrinsic mode components, the energy entropy of the target intrinsic mode component is the maximum energy entropy among the multiple intrinsic mode components; obtain the product of the absolute value of the quotient of the first energy entropy and the second energy entropy and the arc coefficient, and the product is the arc risk assessment factor value.

[0145] In one possible implementation, in terms of determining the risk assessment value of the site to be risk assessed based on the multiple electricity safety assessment factors, the processing module 402 is specifically used to: obtain a first weighted value of the first weighted power of the voltage risk assessment factor value; obtain a second weighted value of the second weighted power of the current risk assessment factor value; obtain a third weighted value of the third weighted power of the resistance risk assessment factor value; obtain a fourth weighted value of the fourth weighted power of the temperature risk assessment factor value; obtain a fifth weighted value of the fifth weighted power of the smoke risk assessment factor value; obtain a sixth weighted value of the sixth weighted power of the arc risk assessment factor value; obtain the product of the first weighted value, the second weighted value, the third weighted value, the fourth weighted value, the fifth weighted value and the sixth weighted value, wherein the product is the risk assessment value of the site to be risk assessed.

[0146] It is worth noting that the specific functional implementation of the power risk assessment device 400 is shown in the above Figure 2The description of the power risk assessment method shown in the figure, for example, the acquisition module 401 is used to implement the relevant content of executing S201, and the processing module 402 is used to implement the relevant content of executing S202-S204. The various units or modules in the power risk assessment device 400 can be respectively or completely combined into one or several other units or modules to form, or some (some) of the units or modules can be further divided into multiple functionally smaller units or modules to form, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present invention. The above-mentioned units or modules are divided according to logical functions. In actual applications, the function of one unit (or module) is realized by multiple units (or modules), or the functions of multiple units (or modules) are realized by one unit (or module).

[0147] According to the description of the above method embodiment and related device embodiment, please refer to Figure 5 , Figure 5 It is a schematic diagram of the structure of a computer 500 provided in an embodiment of the present application. Figure 5 The computer 500 shown includes a processor 501, a memory 502, a communication interface 503 and a bus 504. The processor 501, the memory 502 and the communication interface 503 are connected to each other through the bus 504.

[0148] Optionally, the memory 502 is a ROM, a static storage device, a dynamic storage device or a RAM.

[0149] The memory 502 can store executable program codes. When the executable program codes stored in the memory 502 are executed by the processor 501, the processor 501 and the communication interface 503 are used to execute Figure 2 The various steps of the power risk assessment method of the illustrated embodiment.

[0150] The processor 501 adopts a general-purpose CPU, a microprocessor, an application-specific integrated circuit ASIC, a GPU or one or more integrated circuits to execute relevant programs to perform the power risk assessment method of the method embodiment of the present application.

[0151] The processor 501 can also be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the power risk assessment method of the present application can be completed by the hardware integrated logic circuit or software instructions in the processor 501. Optionally, the processor 501 is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. The processor can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor is a microprocessor or the processor is any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to execute, or a combination of hardware and software modules in the decoding processor to execute. The optional software module is located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register or other mature storage medium in the art. The storage medium is located in the memory 502, and the processor 501 reads the information in the memory 502, and combines its hardware to complete the functions required to be performed by the modules included in an electric power risk assessment device 400 of an embodiment of the present application, or executes the electric power risk assessment method of the method embodiment of the present application.

[0152] The communication interface 503 uses a transceiver or other related device such as, but not limited to, a transceiver.

[0153] Bus 504 may include a path for transmitting information between various components of computer 500 (eg, memory 502 , processor 501 , communication interface 503 ).

[0154] It should be noted that although Figure 5 The computer 500 shown only shows a memory, a processor, and a communication interface, but in the specific implementation process, those skilled in the art should understand that the computer 500 also includes other devices necessary for normal operation. At the same time, according to specific needs, those skilled in the art should understand that the computer 500 may also include hardware devices for implementing other additional functions. In addition, those skilled in the art should understand that the computer 500 may also only include the devices necessary to implement the embodiments of the present application, and does not necessarily include Figure 5 All devices shown in .

[0155] An embodiment of the present application provides a computer-readable storage medium, in which a computer program for electronic data exchange is stored. The computer program includes execution instructions, and the execution instructions are used to execute part or all of the steps of any one of the power risk assessment methods recorded in the above-mentioned power risk assessment method embodiments. The above-mentioned computer includes an electronic terminal device.

[0156] An embodiment of the present application provides a computer program product, wherein the computer program product includes a computer program, and the computer program can be operated to enable a computer to perform part or all of the steps of any one of the power risk assessment methods recorded in the above method embodiments. The computer program product can be a software installation package.

[0157] It should be noted that, for the sake of simplicity, the embodiments of any of the above-mentioned power risk assessment methods are all described as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the described order of actions, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by this application.

[0158] The above is a detailed introduction to the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of a power risk assessment method, device, equipment, storage medium and program product of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, based on the idea of ​​a power risk assessment method, device, equipment, storage medium and program product of the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

[0159] The present application is described with reference to the flowcharts and / or block diagrams of the methods, hardware products, and computer program products of the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0160] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1The memory may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0161] Although the present application is described herein in conjunction with various embodiments, in the process of implementing the claimed application, those skilled in the art may understand and implement other variations of the disclosed embodiments by viewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "one" does not exclude multiple situations. Certain measures are recorded in different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0162] A person skilled in the art can understand that all or part of the steps in the various methods of the method embodiments of any of the above-mentioned power risk assessment methods can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a disk or an optical disk, etc.

[0163] It can be understood that any product that is controlled or configured to execute the processing method of the flowchart described in an embodiment of an electric power risk assessment method in the present application, such as the device and computer program product of the above flowchart, falls within the scope of the related products described in the present application.

[0164] Obviously, those skilled in the art can make various changes and modifications to the power risk assessment method, device, equipment, storage medium and program product provided by this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include these modifications and variations.

Claims

1. A power risk assessment method, characterized in that: The method comprises: Obtain basic power data of the site to be risk assessed; Determining values ​​of a plurality of power risk assessment factors according to the power basic data; Determine a risk assessment value of the site to be risk assessed according to the multiple electricity safety assessment factors, wherein the risk assessment value is used to indicate the risk level of potential safety hazards occurring at the site to be risk assessed; Target warning information is determined according to the risk assessment value and multiple risk level thresholds, and the target warning information is used to inform the user of the power risk assessment result.

2. The method according to claim 1, characterized in that The basic power data includes voltage data, current data, resistance data, temperature data and smoke alarm data, the multiple power risk assessment factors include voltage risk assessment factor, current risk assessment factor, resistance risk assessment factor, temperature risk assessment factor, smoke risk assessment factor and arc risk assessment factor, and determining the values ​​of the multiple power risk assessment factors according to the basic power data includes: Determine a value of a voltage risk assessment factor according to the voltage data, a first voltage threshold, and a second voltage threshold; determining a value of a current risk assessment factor based on the current data, a first current threshold, and a second current threshold; determining a value of a resistance risk assessment factor based on the resistance data and a plurality of resistance thresholds; Determine a value of a temperature risk assessment factor according to the temperature data, a first temperature threshold, a second temperature threshold, and a third temperature threshold; determining a value of a smoke risk assessment factor based on smoke alarm data; A value of an arc risk assessment factor is determined based on the current data.

3. The method according to claim 2, characterized in that The step of determining the value of the voltage risk assessment factor according to the voltage data, the first voltage threshold and the second voltage threshold comprises: Obtaining a first voltage threshold value according to the product of the first voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; Obtaining a second voltage threshold according to the product of the second voltage coefficient and the rated voltage of the DC bus of the site to be risk assessed; When it is detected that the voltage data is less than the second voltage threshold, the value of the voltage risk assessment factor is determined to be the first voltage risk assessment factor value; when it is detected that the voltage data is not less than the second voltage threshold and not greater than the first voltage threshold, the value of the voltage risk assessment factor is determined to be the second voltage risk assessment factor value; when it is detected that the voltage data is greater than the first voltage threshold, the value of the voltage risk assessment factor is determined to be the third voltage risk assessment factor value.

4. The method according to claim 2, characterized in that The step of determining the value of the current risk assessment factor according to the current data, the first current threshold and the second current threshold comprises: Obtaining a first current threshold value according to the product of the first current coefficient and the rated current of the DC bus of the site to be risk assessed; Obtaining a second current threshold value according to the product of the second current coefficient and the rated current of the DC bus of the site to be risk assessed; When it is detected that the current data is less than the second current threshold, the value of the current risk assessment factor is determined to be the first current risk assessment factor value; when it is detected that the current data is not less than the second current threshold and not greater than the first current threshold, the value of the current risk assessment factor is determined to be the second current risk assessment factor value; when it is detected that the current data is greater than the first current threshold, the value of the current risk assessment factor is determined to be the third current risk assessment factor value.

5. The method according to claim 2, characterized in that The step of determining the value of the resistance risk assessment factor according to the resistance data and a plurality of resistance thresholds includes: Obtaining a first resistance threshold value according to the product of the first resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; Obtaining a second resistance threshold value according to the product of the second resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; Obtaining a third resistance threshold value according to the product of the third resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; Obtaining a fourth resistance threshold value according to the product of the fourth resistance coefficient and the standard resistance of the insulation of the site to be risk assessed to the ground; When it is detected that the resistance data is not greater than the fourth resistance threshold, the value of the resistance risk assessment factor is determined to be the first resistance risk assessment factor value; when it is detected that the resistance data is greater than the fourth resistance threshold and not greater than the third resistance threshold, the value of the resistance risk assessment factor is determined to be the second resistance risk assessment factor value; when it is detected that the resistance data is greater than the third resistance threshold and not greater than the second resistance threshold, the value of the resistance risk assessment factor is determined to be the third resistance risk assessment factor value; when it is detected that the resistance data is greater than the second resistance threshold and not greater than the first resistance threshold, the value of the resistance risk assessment factor is determined to be the fourth resistance risk assessment factor value.

6. The method according to claim 2, characterized in that The step of determining the value of the temperature risk assessment factor according to the temperature data, the first temperature threshold, the second temperature threshold, and the third temperature threshold includes: Obtaining a first temperature threshold value according to the product of the first temperature coefficient and the average temperature of the site to be risk assessed within a fixed time period; Obtaining a second temperature threshold value according to the product of the second temperature coefficient and the average temperature of the site to be risk assessed within a fixed time period; Obtaining a third temperature threshold value according to the product of the third temperature coefficient and the average temperature of the site to be risk assessed within a fixed time period; When it is detected that the temperature data is not greater than the third temperature threshold, the value of the temperature risk assessment factor is determined to be the first temperature risk assessment factor value; when it is detected that the temperature data is greater than the third temperature threshold and not greater than the second temperature threshold, the value of the temperature risk assessment factor is determined to be the second temperature risk assessment factor value; when it is detected that the temperature data is greater than the second temperature threshold and not greater than the first temperature threshold, the value of the temperature risk assessment factor is determined to be the third temperature risk assessment factor value; when it is detected that the temperature data is greater than the first temperature threshold, the value of the temperature risk assessment factor is determined to be the fourth temperature risk assessment factor value.

7. The method according to claim 2, characterized in that the smoke When the alarm sounds an alarm, the smoke alarm data is a first value, and when the smoke alarm does not sound an alarm, the smoke alarm data is a second value. Determining the value of the smoke risk assessment factor according to the smoke alarm data includes: When the smoke alarm data is detected as a first value, the smoke risk assessment factor is a first smoke risk assessment factor value; when the smoke alarm data is detected as a second value, the smoke risk assessment factor is a second smoke risk assessment factor.

8. The method according to claim 3, characterized in that Determining the value of the arc risk assessment factor according to the current data includes: Performing improved adaptive noise complete set empirical mode decomposition on the current data to obtain multiple intrinsic mode components; Obtaining a ratio of the energy of the plurality of eigenmode components to the total energy of the plurality of eigenmode components; Obtaining a cosine similarity calculation result between the multiple intrinsic mode components and the current of the DC bus of the site to be risk assessed; Determining the eigenmode component with the smallest similarity in the calculation results as the boundary mode component; Acquire a first ratio of the energy of the boundary mode component to the total energy of the plurality of eigenmode components; Determine a first energy entropy of the boundary modal component according to the first proportion; Determining a second energy entropy of a target eigenmodal component among the multiple eigenmodal components according to the energies of the multiple eigenmodal components, the energy entropy of the target eigenmodal component being a maximum value of the energy entropies among the multiple eigenmodal components; The product of the absolute value of the quotient of the first energy entropy and the second energy entropy and the arc coefficient is obtained, and the product is the arc risk assessment factor value.

9. The method according to any one of claims 2 to 8, characterized in that: The step of determining the risk assessment value of the site to be risk assessed according to the plurality of electricity safety assessment factors includes: Obtaining a first weighted value of a first weighted power of a voltage risk assessment factor value; Obtaining a second weighted value of a second weighted power of the current risk assessment factor value; obtaining a third weighted value of the third weighted power of the resistance risk assessment factor value; Obtaining a fourth weighted value of the fourth weighted power of the temperature risk assessment factor value; Obtaining a fifth weighted value of the fifth weighted power of the smoke risk assessment factor value; Obtaining a sixth weighted value of the sixth weighted power of the arc risk assessment factor value; The product of the first weighted value, the second weighted value, the third weighted value, the fourth weighted value, the fifth weighted value and the sixth weighted value is obtained, and the product is the risk assessment value of the site to be risk assessed.

10. An electric power risk assessment device, characterized in that: The device comprises: An acquisition module is used to obtain basic power data of the site to be risk assessed; A processing module is used to determine the values ​​of multiple power risk assessment factors based on the power basic data; and to determine the risk assessment value of the site to be risk assessed based on the multiple electricity safety assessment factors, and the risk assessment value is used to represent the probability of fire risk occurring in the site to be risk assessed; and to determine target alarm information based on the risk assessment value and multiple risk level thresholds, and the target alarm information is used to inform users of power risk assessment results.

Images