Security early warning method and program product for power operation system

Abstract

The invention discloses a safety early warning method and program product for a power operating system, and the method comprises the steps: obtaining the basic information of equipment corresponding to power equipment, and determining a first risk coefficient corresponding to the power equipment according to the basic information of the equipment; under the condition that the first risk coefficient is greater than a preset first threshold value, acquiring equipment operation information of the power equipment, and determining a second risk coefficient of the power equipment according to the equipment operation information; and under the condition that the second risk coefficient is greater than a preset second threshold value, determining a third risk coefficient according to the first risk coefficient and the second risk coefficient, and performing risk early warning on the power equipment according to the third risk coefficient, thereby improving the accuracy and comprehensiveness of risk assessment, and improving the risk assessment efficiency through staged risk assessment. The distribution of maintenance resources is optimized, potential faults are found and prevented in time, and the safety and reliability of a power system are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a safety early warning method and program product for an electric power operating system. Background Art

[0002] In the power system, the maintenance and management of power equipment is the key link to ensure the stable operation of the system.

[0003] In related technologies, maintenance methods often rely on regular manual inspections and manual records, which is not only inefficient but also difficult to detect and prevent potential failures in a timely manner. Moreover, with the increase in the number of power equipment and the complexity of the operating environment, the assessment often only considers a single factor and lacks a comprehensive assessment of the multi-dimensional information of power equipment, resulting in inaccurate and incomplete risk assessment results, making it difficult to accurately warn of current risks. Summary of the invention

[0004] The present invention provides a safety early warning method and program product for an electric power operating system to solve the problems in the related art that risk assessment parameters are single, resulting in inaccurate assessment and low efficiency due to reliance on manual maintenance.

[0005] According to one aspect of the present invention, there is provided a safety early warning method for a power operation system, comprising:

[0006] Acquire basic equipment information corresponding to the electric equipment, and determine a first risk coefficient corresponding to the electric equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time and abnormal mark information;

[0007] When the first risk coefficient is greater than a preset first threshold, obtaining equipment operation information of the electric equipment, and determining a second risk coefficient of the electric equipment according to the equipment operation information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature;

[0008] When the second risk coefficient is greater than a preset second threshold, a third risk coefficient is determined according to the first risk coefficient and the second risk coefficient, and a risk warning is issued for the power equipment according to the third risk coefficient.

[0009] According to another aspect of the present invention, there is provided a safety warning device for an electric power operation system, the device comprising:

[0010] A first risk coefficient determination module is used to obtain basic equipment information corresponding to the power equipment, and determine a first risk coefficient corresponding to the power equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time and abnormal mark information;

[0011] a second risk coefficient determination module, configured to obtain, when the first risk coefficient is greater than a preset first threshold, equipment operation information of the electric equipment, and determine a second risk coefficient of the electric equipment according to the equipment operation information, wherein the equipment operation information at least includes actual vibration information, actual noise information, and actual equipment temperature;

[0012] The risk warning module is used to determine a third risk coefficient based on the first risk coefficient and the second risk coefficient when the second risk coefficient is greater than a preset second threshold, and to issue a risk warning to the power equipment based on the third risk coefficient.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the safety warning method for an electric power operating system described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the safety warning method for a power operating system described in any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, there is provided a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the safety warning method for an electric power operation system according to any one of claims 1 to 9.

[0019] The technical solution of the embodiment of the present invention obtains basic equipment information corresponding to the power equipment, determines a first risk coefficient corresponding to the power equipment according to the basic equipment information, and preliminarily screens out high-risk power equipment because the basic equipment information includes equipment type information, equipment working time and abnormal mark information; then, when the first risk coefficient is greater than a preset first threshold, obtains equipment operation information of the power equipment, determines a second risk coefficient of the power equipment according to the equipment operation information, and further screens the preliminarily screened out high-risk power equipment because the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature; finally, when the second risk coefficient is greater than a preset second threshold, determines a third risk coefficient according to the first risk coefficient and the second risk coefficient, and performs a risk warning for the power equipment according to the third risk coefficient, thereby solving the problem in the related art that the risk assessment parameter is single, resulting in inaccurate assessment, and relying on low efficiency manual maintenance, and not only comprehensively considers various information of the power equipment, improves the accuracy and comprehensiveness of risk assessment, but also optimizes the allocation of maintenance resources through phased risk assessment, timely discovers and prevents potential faults, and ensures the safety and reliability of the power system.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 is a flow chart of a safety early warning method for a power operation system provided according to Embodiment 1 of the present invention;

[0023] Figure 2 is a flow chart of a safety early warning method for a power operation system provided according to a second embodiment of the present invention;

[0024] Figure 3 is a flow chart of a safety early warning method for a power operation system provided according to Embodiment 3 of the present invention;

[0025] Figure 4 2 is a schematic diagram of the structure of a safety warning device for a power operation system provided according to a fourth embodiment of the present invention;

[0026] Figure 5 It is a structural schematic diagram of an electronic device for implementing the safety early warning method for a power operating system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. 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 necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0030] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0031] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0032] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0033] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0034] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0035] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0036] Embodiment 1

[0037] Figure 1 A flowchart of a safety warning method for an electric power operating system is provided for the first embodiment of the present invention. This embodiment is applicable to situations where the risk warning level and risk assessment efficiency are improved. The method can be executed by a safety warning device for an electric power operating system. The safety warning device for an electric power operating system can be implemented in the form of hardware and / or software, and optionally, can be implemented by an electronic device, which can be a mobile terminal, a PC or a server, etc.

[0038] like Figure 1 As shown, the method may specifically include:

[0039] S110. Obtain basic equipment information corresponding to the power equipment, and determine a first risk coefficient corresponding to the power equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time, and abnormal mark information.

[0040] Among them, the basic information of the equipment can be understood as the basic attribute information of the power equipment, which can be used to preliminarily evaluate the risk level of the power equipment, and may include but is not limited to at least one of the equipment type information, equipment working time and abnormal marking information. Different equipment types, different equipment working time or the presence of abnormal marking information may affect the safety and stability of the power equipment. The first risk factor can be understood as a value reflecting the potential risk level of the power equipment calculated based on the basic information of the equipment, which is used to determine whether the power equipment needs to further detect its operating status. When the first risk factor exceeds the preset first threshold, it indicates that the power equipment may have a high risk and needs to further detect its operating information. The equipment type information can be understood as a specific type of power equipment, such as at least one of a transformer, a switch cabinet or a cable. The equipment working time can be understood as the cumulative running time of the equipment since its installation or the most recent overhaul. The abnormal marking information can be understood as a record of whether the power equipment has had a fault or abnormal situation in the past. The more abnormal markings, the higher the possibility that the power equipment will have problems again.

[0041] On the basis of the above scheme, optionally, determining the first risk coefficient corresponding to the power equipment based on the basic information of the equipment includes: determining the type risk coefficient corresponding to the power equipment based on the equipment type information, and determining the number of abnormal markings corresponding to the power equipment based on the abnormal marking information; determining the first risk coefficient corresponding to the power equipment based on the type risk coefficient, the working time of the equipment, the preset standard time and the number of abnormal markings.

[0042] Among them, the type risk coefficient can be understood as a numerical value indicating the inherent risk level of the equipment determined according to the equipment type information, which is used to reflect the difference in risk levels of different types of power equipment under normal operating conditions. The type risk coefficient can be set according to the historical failure rate, maintenance records and other data of the equipment type. The number of abnormal markings can be understood as the number of times the equipment fails or abnormal conditions occur within a preset time period, which can quantify the historical failure frequency of the power equipment and be used to evaluate the reliability and potential risks of the power equipment. The number of abnormal markings can be counted through the equipment management system or maintenance records. The more abnormal markings, the higher the risk of the power equipment. The preset standard duration can be understood as a pre-set standard working duration, which is used to compare and standardize the actual working duration of the power equipment. The preset standard duration can be determined based on the average life of the equipment or the working duration recommended by the manufacturer.

[0043] The above scheme determines the first risk coefficient by comprehensively analyzing the equipment type information, the number of abnormal markings, the equipment working time and the preset standard time. It can comprehensively evaluate the risk level of power equipment, which not only helps to prioritize high-risk equipment and optimize resource allocation, but also can timely detect potential faults and prevent power equipment failure, thereby improving the overall safety and reliability of the power system.

[0044] On the basis of the above scheme, specifically, the first risk coefficient corresponding to the power equipment can be determined according to the type risk coefficient, the equipment working time, the preset standard time and the number of abnormal markings by the following formula:

[0045]

[0046] Wherein, Risk represents the first risk coefficient corresponding to the power equipment, α type represents the type risk coefficient corresponding to the power equipment, T represents the actual working time corresponding to the power equipment, T′ represents the preset standard working time corresponding to the power equipment, n represents the number of abnormal markings corresponding to the power equipment, and e is a natural constant.

[0047] An optional implementation method is to comprehensively evaluate the risk level of the equipment by multiplying the type risk coefficient of the equipment with an exponential function based on the ratio of the actual working time to the preset standard time, and then considering the influence of the number of abnormal markings. If the actual working time of the power equipment exceeds the preset standard time, or the number of abnormal markings is large, the calculated first risk coefficient will increase, indicating that the risk of the power equipment is high. Conversely, if the actual working time of the power equipment is short and the number of abnormal markings is small, then the first risk coefficient will be small, indicating that the risk of the power equipment is low.

[0048] The above scheme comprehensively considers the equipment type, actual working time, preset standard time and number of abnormal markings, so as to more accurately assess the risk level of the equipment, help prioritize high-risk equipment, optimize the allocation of maintenance resources, promptly detect and prevent potential failures, and improve the safety and reliability of the power system.

[0049] S120. When the first risk coefficient is greater than a preset first threshold, obtain equipment operation information of the power equipment, and determine a second risk coefficient of the power equipment based on the equipment operation information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature.

[0050] Among them, the preset first threshold value can be understood as a predetermined risk coefficient value. By setting the first threshold value, it is necessary to further check the power operation information of the power equipment. The equipment operation information can be understood as representing various data generated by the power equipment during the actual operation process, which is used to analyze the current state and operation of the equipment and provide data support for more accurate risk assessment. The equipment operation information includes but is not limited to at least one of actual vibration information, actual noise information and actual equipment temperature. The equipment operation information can obtain real-time operation data of the equipment through sensors, detection systems or on-site inspections. The actual vibration information can be understood as vibration data generated by the power equipment during operation. It can be understood that vibration is one of the common fault signs of power equipment. Abnormal vibration may indicate imbalance, looseness or other mechanical problems inside the power equipment. By detecting the actual vibration information, problems can be discovered early and measures can be taken. The actual noise information can be understood as the noise level generated by the power equipment during operation, which can be used to identify potential fault sources. Abnormal noise information may indicate wear or damage of internal components of the power equipment. The actual equipment temperature can be understood as the temperature change of the power equipment during operation. The equipment temperature of the power equipment is a key parameter for evaluating the thermal performance and health status of the power equipment. Excessively high temperatures may indicate that the power equipment is overloaded or has poor heat dissipation. Long-term high-temperature operation will accelerate the aging and damage of the power equipment. The second risk factor can be understood as a risk assessment index calculated based on the collected equipment operation information, which is used to refine and verify the assessment results of the first risk factor to ensure the accuracy and reliability of the risk assessment.

[0051] S130. When the second risk coefficient is greater than a preset second threshold, determine a third risk coefficient according to the first risk coefficient and the second risk coefficient, and issue a risk warning for the power equipment according to the third risk coefficient.

[0052] Among them, the preset second threshold value can be understood as a pre-set critical value, which is used to determine whether the second risk coefficient exceeds the normal range, and can be used to further screen out those power equipment with higher risks. The third risk coefficient can be understood as the risk level of the power equipment determined after comprehensively considering the first risk coefficient and the second risk coefficient, which is used to decide whether to issue a risk warning for the power equipment and take corresponding maintenance measures. The risk warning can be understood as a risk prompt or warning issued to the power equipment based on the third risk coefficient. Through risk warning, potential faults can be discovered and handled in advance, power equipment shutdowns or safety accidents can be avoided, and the stable operation of the power system can be guaranteed.

[0053] On the basis of the above scheme, optionally, determining the third risk coefficient based on the first risk coefficient and the second risk coefficient includes: determining a first difference between the first risk coefficient and the preset first threshold and a second difference between the second risk coefficient and the preset second threshold, and determining the third risk coefficient based on the first difference and the second difference.

[0054] Among them, the first difference can be understood as the difference between the first risk coefficient and the preset first threshold, which is used to quantify the extent to which the first risk coefficient exceeds the preset first threshold. The larger the first difference, the higher the risk of the power equipment in the preliminary assessment. The second difference can be understood as the difference between the second risk coefficient and the preset second threshold, which is used to quantify the extent to which the first risk coefficient exceeds the preset second threshold. The larger the second difference, the higher the risk of the power equipment in further assessment, and more urgent measures need to be taken.

[0055] Based on the above scheme, optionally, determining a third risk coefficient corresponding to the power equipment based on the first difference and the second difference includes: performing weighted summation of the first difference and the second difference to obtain a third risk coefficient corresponding to the power equipment.

[0056] Specifically, the third risk coefficient corresponding to the electric power equipment can be determined by the following formula:

[0057] K=(Risk-Risk′)*μ1+(β-β′)*μ2;

[0058] Among them, Risk represents the first risk coefficient corresponding to the power equipment, Risk′ represents the preset first threshold value corresponding to the power equipment, β represents the second risk coefficient corresponding to the power equipment, β′ represents the preset second threshold value corresponding to the power equipment, μ1 and μ2 are the weight coefficients of the first difference and the second difference respectively.

[0059] The above scheme can comprehensively evaluate the overall risk level of power equipment by weightedly summing up the first difference between the first risk coefficient and the preset first threshold and the second difference between the second risk coefficient and the preset second threshold. It not only takes into account the results of the preliminary evaluation and the further evaluation, but also assigns appropriate weights to different risk factors by weighted summation, thereby more accurately reflecting the actual risk of the equipment, helping to optimize the allocation of maintenance resources, timely detect and prevent potential failures, and improve the safety and reliability of the power system.

[0060] The technical solution of the embodiment of the present invention obtains basic equipment information corresponding to the power equipment, determines a first risk coefficient corresponding to the power equipment according to the basic equipment information, and preliminarily screens out high-risk power equipment because the basic equipment information includes equipment type information, equipment working time and abnormal mark information; then, when the first risk coefficient is greater than a preset first threshold, obtains equipment operation information of the power equipment, determines a second risk coefficient of the power equipment according to the equipment operation information, and further screens the preliminarily screened out high-risk power equipment because the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature; finally, when the second risk coefficient is greater than a preset second threshold, determines a third risk coefficient according to the first risk coefficient and the second risk coefficient, and performs a risk warning for the power equipment according to the third risk coefficient, thereby solving the problem in the related art that the risk assessment parameter is single, resulting in inaccurate assessment, and relying on low efficiency manual maintenance, and not only comprehensively considers various information of the power equipment, improves the accuracy and comprehensiveness of risk assessment, but also optimizes the allocation of maintenance resources through phased risk assessment, timely discovers and prevents potential faults, and ensures the safety and reliability of the power system.

[0061] Embodiment 2

[0062] Figure 2 A flowchart of a safety warning method for an electric power operating system provided in the second embodiment of the present invention. This embodiment is based on the above embodiment and further refines the second risk coefficient of the electric equipment determined according to the equipment operation information. Optionally, the second risk coefficient of the electric equipment determined according to the equipment operation information includes: determining the working vibration frequency of the electric equipment according to the actual vibration information of the electric equipment, and determining the actual noise intensity of the electric equipment according to the actual noise information; determining the second risk coefficient of the electric equipment according to the working vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature. For specific implementation methods, please refer to the description of this embodiment. Among them, the technical features that are the same or similar to those in the above embodiments are not repeated here.

[0063] like Figure 2 As shown, the method may specifically include:

[0064] S210. Obtain basic equipment information corresponding to the power equipment, and determine a first risk coefficient corresponding to the power equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time, and abnormal mark information.

[0065] S220. When the first risk coefficient is greater than a preset first threshold, obtain the equipment operation information of the power equipment, determine the working vibration frequency of the power equipment according to the actual vibration information of the power equipment, and determine the actual noise intensity of the power equipment according to the actual noise information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature.

[0066] Among them, the actual vibration information can be understood as the vibration data of the power equipment during the actual operation process, which is used to determine the working vibration frequency of the power equipment. The actual vibration information can collect the vibration data of the power equipment through a vibration sensor, and determine the working vibration frequency through spectrum analysis. The working vibration frequency can be understood as the vibration frequency generated by the power equipment during the actual operation process, which is used to evaluate the mechanical state and stability of the equipment. The actual noise intensity can be understood as the noise level generated by the power equipment during the actual operation process, which is used to evaluate the noise level of the power equipment and identify potential signs of failure. The actual noise intensity can be measured by using a sound sensor and a sound level meter.

[0067] S230. Determine a second risk coefficient of the power equipment according to the operating vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature.

[0068] Among them, the standard vibration frequency can be understood as the vibration frequency expected by the power equipment under normal operating conditions, which is used to compare the actual vibration frequency and evaluate the vibration state of the equipment. The standard vibration frequency can be determined according to the manufacturer's manual or historical data of the power equipment. The standard noise intensity can be understood as the noise level expected by the power equipment under normal operating conditions, which is used to compare the actual noise intensity and evaluate the noise state of the power equipment. The actual equipment temperature can be understood as the temperature change of the power equipment during the actual operation process, which is used to evaluate the thermal performance and health status of the equipment. The actual equipment temperature can be used to collect the temperature data of the power equipment by using a temperature sensor or an infrared thermometer. The standard equipment temperature can be understood as the temperature range expected by the power equipment under normal operating conditions, which is used to compare the actual equipment temperature and evaluate the temperature state of the power equipment.

[0069] On the basis of the above scheme, specifically, the second risk coefficient of the power equipment can be determined according to the working vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature by the following formula:

[0070]

[0071] Among them, P represents the working vibration frequency of the electric equipment in the working state, P′ represents the standard vibration frequency corresponding to the electric equipment in the working state, Z represents the actual noise intensity of the electric equipment in the working state, Z′ represents the standard noise intensity of the electric equipment in the working state, W represents the actual equipment temperature of the electric equipment in the working state, W′ represents the standard equipment temperature of the electric equipment in the working state, ω1 represents the weight coefficient corresponding to the working vibration frequency; ω2 represents the weight coefficient corresponding to the actual noise intensity, and ω3 represents the weight coefficient corresponding to the actual equipment temperature.

[0072] An optional implementation method is to determine the second risk coefficient by calculating the deviation ratio of the working vibration frequency, actual noise intensity and actual equipment temperature from the corresponding standard value, and multiplying the deviation ratio by the corresponding weight coefficient and adding them together. The selection of the weight coefficient is adjusted according to the importance of the impact of each parameter on the equipment risk. In the case where the deviation of a certain parameter is large, or the parameter has a greater impact on the operation of the equipment, its weight coefficient will also be correspondingly higher, so as to more comprehensively reflect the risk level of the power equipment in the current working state.

[0073] S240. When the second risk coefficient is greater than a preset second threshold, determine a third risk coefficient according to the first risk coefficient and the second risk coefficient, and issue a risk warning for the power equipment according to the third risk coefficient.

[0074] The technical solution of the embodiment of the present invention can more comprehensively evaluate the operating status of power equipment by comprehensively considering the working vibration frequency, standard vibration frequency, actual noise intensity, standard noise intensity, actual equipment temperature and standard equipment temperature. It not only quantifies the deviation of each operating parameter, but also assigns appropriate importance to different parameters through weight coefficients, thereby more accurately calculating the second risk coefficient, which helps to timely discover and prevent potential faults, optimize the allocation of maintenance resources, and improve the safety and reliability of the power system.

[0075] Embodiment 3

[0076] Figure 3A flowchart of a security warning method for an electric power operating system provided in the second embodiment of the present invention, this embodiment is a further supplement to the above embodiment. Optionally, after determining the third risk coefficient according to the first risk coefficient and the second risk coefficient, it also includes: establishing a risk change curve of the third risk coefficient over time according to the third risk coefficient of the electric equipment in the first time period, and determining the change coefficient corresponding to the third risk coefficient according to the risk change curve; when the change coefficient is greater than or equal to the preset change threshold, generating potential risk warning information, and sending the potential risk warning information to the target terminal. For specific implementation methods, please refer to the description of this embodiment. Among them, the technical features that are the same or similar to those of the above embodiments are not repeated here.

[0077] like Figure 3 As shown, the method may specifically include:

[0078] S310. Obtain basic equipment information corresponding to the power equipment, and determine a first risk coefficient corresponding to the power equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time and abnormal mark information.

[0079] S320. When the first risk coefficient is greater than a preset first threshold, obtain equipment operation information of the power equipment, and determine a second risk coefficient of the power equipment based on the equipment operation information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature.

[0080] S330. When the second risk coefficient is greater than a preset second threshold, determine a third risk coefficient according to the first risk coefficient and the second risk coefficient, and issue a risk warning for the power equipment according to the third risk coefficient.

[0081] S340. Establish a risk change curve of the third risk coefficient over time based on the third risk coefficient of the electric power equipment in the first time period, and determine a change coefficient corresponding to the third risk coefficient based on the risk change curve.

[0082] Among them, the first time period can be understood as a time interval for recording and analyzing the third risk coefficient of the power equipment, so as to observe and analyze the changing trend of the equipment risk. The first time period can be set according to the actual situation, such as one day, one week or one month, which is not specifically limited here. The risk change curve can be understood as a curve drawn according to the third risk coefficient of the power equipment in the first time period, showing the changing trend of the risk over time. The risk change curve can be formed by connecting the third risk coefficients of the sampling time points in the first time period using chart software or data analysis tools. By analyzing the risk change curve, the periodic changes or abnormal fluctuations of the risk of the power equipment can be found, providing a basis for predicting and preventing faults. The change coefficient can be understood as a numerical value reflecting the change range of the third risk coefficient in the first time period, which is used to quantify the change range of the third risk coefficient and evaluate the changing trend of the risk of the power equipment.

[0083] Based on the above scheme, optionally, determining the coefficient of change corresponding to the third risk factor according to the risk change curve includes: determining an integral value of the risk change curve in the second time period, and determining the integral value as the coefficient of change corresponding to the third risk factor.

[0084] The second time period can be understood as a shorter time interval, which is used to calculate the integral value of the risk change curve, and to more finely evaluate the change trend of equipment risk, which can ensure that the calculation of the integral value is more targeted and accurate, and help to discover short-term risk changes. The second time period is within the first time period.

[0085] An optional implementation method is to collect the risk change curve corresponding to the power equipment in real time during the second time period, and establish a curve K(t) showing the change of the comprehensive evaluation coefficient over time; The change coefficient h of the third risk factor of the electric power equipment is determined, wherein t1 and t2 are the starting point and the end point of the second time period.

[0086] S350: When the variation coefficient is greater than or equal to a preset variation threshold, generate potential risk warning information, and send the potential risk warning information to a target terminal.

[0087] The preset change threshold can be understood as a pre-set critical value, which is used to determine whether the change coefficient exceeds the normal range and identify equipment with large risk changes. The potential risk warning information can be understood as a warning information generated when the change coefficient is greater than or equal to the preset change threshold, which is used to notify relevant personnel that there are potential risks in power equipment to avoid equipment downtime or safety accidents and ensure the stable operation of the power system.

[0088] The technical solution of the embodiment of the present invention can more accurately evaluate the risk change trend of power equipment by establishing a risk change curve of the third risk coefficient changing with time, and calculating the integral value in the second time period as the change coefficient. When the change coefficient is greater than or equal to the preset change threshold, potential risk warning information is generated and sent, and operation and maintenance personnel are notified in time to take measures, which not only improves the accuracy and timeliness of risk assessment, but also optimizes the allocation of maintenance resources, effectively prevents potential failures, and ensures the safety and reliability of the power system.

[0089] Embodiment 4

[0090] Figure 4 This is a schematic diagram of the structure of a safety warning device for a power operation system provided by Embodiment 3 of the present invention. Figure 4 As shown, the device includes: a first risk coefficient determination module 410, a second risk coefficient determination module 420, and a risk warning module 430.

[0091] Among them, the first risk coefficient determination module 410 is used to obtain basic equipment information corresponding to the power equipment, and determine the first risk coefficient corresponding to the power equipment based on the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time and abnormal mark information; the second risk coefficient determination module 420 is used to obtain the equipment operation information of the power equipment when the first risk coefficient is greater than a preset first threshold, and determine the second risk coefficient of the power equipment based on the equipment operation information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature; the risk warning module 430 is used to determine the third risk coefficient based on the first risk coefficient and the second risk coefficient when the second risk coefficient is greater than a preset second threshold, and issue a risk warning for the power equipment based on the third risk coefficient.

[0092] The technical solution of the embodiment of the present invention obtains basic equipment information corresponding to the power equipment through the first risk coefficient determination module 410, and determines the first risk coefficient corresponding to the power equipment according to the basic equipment information. Since the basic equipment information includes equipment type information, equipment working time and abnormal mark information, high-risk power equipment can be preliminarily screened out; then, when the first risk coefficient is greater than a preset first threshold, the second risk coefficient of the power equipment is obtained through the second risk coefficient determination module 420, and the second risk coefficient of the power equipment is determined according to the equipment operation information. Since the equipment operation information includes at least actual vibration information, actual noise information and actual equipment Temperature, the high-risk power equipment initially screened out can be further screened; finally, through the risk warning module 430, when the second risk coefficient is greater than the preset second threshold, the third risk coefficient is determined according to the first risk coefficient and the second risk coefficient, and the power equipment is given a risk warning according to the third risk coefficient, which solves the problem of a single risk assessment parameter in related technologies, resulting in inaccurate assessment and low efficiency in manual maintenance. It not only comprehensively considers various information of power equipment and improves the accuracy and comprehensiveness of risk assessment, but also optimizes the allocation of maintenance resources through phased risk assessment, timely discovers and prevents potential failures, and ensures the safety and reliability of the power system.

[0093] Based on the above solution, optionally, the first risk coefficient determination module includes: an abnormal marking number determination submodule and a first risk coefficient determination submodule.

[0094] Among them, the submodule for determining the number of abnormal markings is used to determine the type risk coefficient corresponding to the power equipment based on the equipment type information, and to determine the number of abnormal markings corresponding to the power equipment based on the abnormal marking information; the first risk coefficient determination submodule is used to determine the first risk coefficient corresponding to the power equipment based on the type risk coefficient, the equipment working time, the preset standard time and the number of abnormal markings.

[0095] On the basis of the above solution, optionally, the first risk coefficient determination submodule is specifically used to determine the first risk coefficient corresponding to the power equipment according to the type risk coefficient, the equipment working time, the preset standard time and the number of abnormal markings by the following formula:

[0096]

[0097] Wherein, Risk represents the first risk coefficient corresponding to the power equipment, α typerepresents the type risk coefficient corresponding to the power equipment, T represents the actual working time corresponding to the power equipment, T′ represents the preset standard working time corresponding to the power equipment, n represents the number of abnormal markings corresponding to the power equipment, and e is a natural constant.

[0098] Based on the above solution, optionally, the second risk coefficient determination module includes: an actual noise intensity determination submodule and a second risk coefficient determination submodule.

[0099] Among them, the actual noise intensity determination submodule is used to determine the operating vibration frequency of the power equipment according to the actual vibration information of the power equipment, and to determine the actual noise intensity of the power equipment according to the actual noise information; the second risk coefficient determination submodule is used to determine the second risk coefficient of the power equipment according to the operating vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature.

[0100] On the basis of the above solution, optionally, the second risk coefficient determination submodule is specifically used to determine the second risk coefficient of the power equipment according to the working vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature by the following formula:

[0101]

[0102] Among them, P represents the working vibration frequency of the electric equipment in the working state, P′ represents the standard vibration frequency corresponding to the electric equipment in the working state, Z represents the actual noise intensity of the electric equipment in the working state, Z′ represents the standard noise intensity of the electric equipment in the working state, W represents the actual equipment temperature of the electric equipment in the working state, W′ represents the standard equipment temperature of the electric equipment in the working state, ω1 represents the weight coefficient corresponding to the working vibration frequency; ω2 represents the weight coefficient corresponding to the actual noise intensity, and ω3 represents the weight coefficient corresponding to the actual equipment temperature.

[0103] Based on the above solution, optionally, the third risk coefficient determination module includes: a third risk coefficient determination sub-module.

[0104] Among them, the third risk coefficient determination submodule is used to determine a first difference between the first risk coefficient and the preset first threshold and a second difference between the second risk coefficient and the preset second threshold, and determine the third risk coefficient based on the first difference and the second difference.

[0105] On the basis of the above scheme, optionally, the third risk coefficient determination submodule is specifically used to: perform weighted summation of the first difference and the second difference to obtain a third risk coefficient corresponding to the power equipment.

[0106] On the basis of the above scheme, optionally, the safety warning device for the power operation system further includes: a variation coefficient determination module and a risk warning information sending module.

[0107] Among them, the variation coefficient determination module is used to establish a risk change curve of the third risk coefficient over time according to the third risk coefficient of the power equipment in a first time period after the third risk coefficient is determined according to the first risk coefficient and the second risk coefficient, and determine the variation coefficient corresponding to the third risk coefficient according to the risk change curve; the risk warning information sending module is used to generate potential risk warning information when the variation coefficient is greater than or equal to a preset variation threshold, and send the potential risk warning information to the target terminal.

[0108] Based on the above scheme, optionally, the change coefficient is specifically used to: determine the integral value of the risk change curve in the second time period, and determine the integral value as the change coefficient corresponding to the third risk coefficient, wherein the second time period is within the first time period.

[0109] The safety warning device for an electric power operating system provided by an embodiment of the present invention can execute the safety warning method for an electric power operating system provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0110] Embodiment 5

[0111] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0112] like Figure 5As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0113] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0114] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a safety early warning method for a power operation system.

[0115] In some embodiments, a safety warning method for an electric power operating system may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the safety warning method for an electric power operating system described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute a safety warning method for an electric power operating system in any other appropriate manner (e.g., by means of firmware).

[0116] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0117] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0118] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0119] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0120] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0121] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0122] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0123] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A safety early warning method for a power operation system, characterized in that: include: Acquire basic equipment information corresponding to the electric equipment, and determine a first risk coefficient corresponding to the electric equipment according to the basic equipment information, wherein the basic equipment information includes equipment type information, equipment working time and abnormal mark information; When the first risk coefficient is greater than a preset first threshold, obtaining equipment operation information of the electric equipment, and determining a second risk coefficient of the electric equipment according to the equipment operation information, wherein the equipment operation information includes at least actual vibration information, actual noise information and actual equipment temperature; When the second risk coefficient is greater than a preset second threshold, a third risk coefficient is determined according to the first risk coefficient and the second risk coefficient, and a risk warning is issued for the power equipment according to the third risk coefficient.

2. The safety warning method for power operation system according to claim 1 is characterized in that: The determining, according to the basic information of the equipment, a first risk coefficient corresponding to the electric power equipment comprises: Determine a type risk coefficient corresponding to the electric power equipment according to the equipment type information, and determine the number of abnormal markings corresponding to the electric power equipment according to the abnormal marking information; A first risk coefficient corresponding to the power equipment is determined according to the type risk coefficient, the equipment working time, the preset standard time and the number of abnormal marking times.

3. The safety warning method for power operation system according to claim 2 is characterized in that: The first risk coefficient corresponding to the power equipment is determined according to the type risk coefficient, the equipment working time, the preset standard time and the number of abnormal markings by the following formula: Wherein, Risk represents the first risk coefficient corresponding to the power equipment, α type represents the type risk coefficient corresponding to the power equipment, T represents the actual working time corresponding to the power equipment, T′ represents the preset standard working time corresponding to the power equipment, n represents the number of abnormal markings corresponding to the power equipment, and e is a natural constant.

4. The safety early warning method for power operation system according to claim 1 is characterized in that: The determining the second risk coefficient of the electric power equipment according to the equipment operation information comprises: Determine the working vibration frequency of the electric equipment according to the actual vibration information of the electric equipment, and determine the actual noise intensity of the electric equipment according to the actual noise information; A second risk factor of the electrical equipment is determined according to the operating vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature.

5. The safety early warning method for power operation system according to claim 4 is characterized in that: The second risk coefficient of the power equipment is determined according to the working vibration frequency, the standard vibration frequency, the actual noise intensity, the standard noise intensity, the actual equipment temperature and the standard equipment temperature by the following formula: Among them, P represents the working vibration frequency of the electric equipment in the working state, P′ represents the standard vibration frequency corresponding to the electric equipment in the working state, Z represents the actual noise intensity of the electric equipment in the working state, Z′ represents the standard noise intensity of the electric equipment in the working state, W represents the actual equipment temperature of the electric equipment in the working state, W′ represents the standard equipment temperature of the electric equipment in the working state, ω1 represents the weight coefficient corresponding to the working vibration frequency; ω2 represents the weight coefficient corresponding to the actual noise intensity, and ω3 represents the weight coefficient corresponding to the actual equipment temperature.

6. The safety early warning method for power operation system according to claim 1 is characterized in that: The determining of a third risk coefficient according to the first risk coefficient and the second risk coefficient comprises: A first difference between the first risk coefficient and the preset first threshold value and a second difference between the second risk coefficient and the preset second threshold value are determined, and a third risk coefficient is determined according to the first difference and the second difference.

7. The safety warning method for power operation system according to claim 6 is characterized in that: The determining a third risk coefficient corresponding to the electric power equipment according to the first difference and the second difference includes: The first difference and the second difference are weightedly summed to obtain a third risk coefficient corresponding to the power equipment.

8. The safety early warning method for a power operation system according to claim 1, after determining a third risk coefficient according to the first risk coefficient and the second risk coefficient, further comprising: Establishing a risk variation curve of the third risk coefficient over time according to the third risk coefficient of the electric power equipment in the first time period, and determining a variation coefficient corresponding to the third risk coefficient according to the risk variation curve; When the variation coefficient is greater than or equal to a preset variation threshold, potential risk warning information is generated and sent to a target terminal.

9. The safety early warning method for power operation system according to claim 8, characterized in that: The step of determining the variation coefficient corresponding to the third risk coefficient according to the risk variation curve includes: An integral value of the risk change curve in a second time period is determined, and the integral value is determined as a coefficient of variation corresponding to the third risk coefficient, wherein the second time period is within the first time period.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the safety warning method for a power operation system according to any one of claims 1 to 9.

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