Alarm information generation method and device and electronic equipment

Abstract

The invention discloses an alarm information generation method and device and electronic equipment. Relates to the field of electrical equipment. The method comprises the steps that M initial operation parameters of a transformer are obtained, the operation state of the transformer is determined through the M initial operation parameters, and M is a positive integer; under the condition that the operation state is an abnormal state, N abnormal operation parameters are obtained from the M initial operation parameters, a parameter verification mode of each abnormal operation parameter is determined, and N is a positive integer; determining a parameter verification process of the transformer according to the N abnormal operation parameters, and executing each parameter verification mode according to the parameter verification process to obtain N verification results; and generating alarm information according to the N verification results. Through the alarm information processing method and device, the problem that the accuracy of the alarm information is low due to the risk that the detection result of the detection system has an error in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of electrical equipment, and in particular, to a method and device for generating alarm information and an electronic device. Background Art

[0002] In order to ensure the normal operation of the transformer, it is usually necessary to set up an online monitoring system. The operating parameters of the transformer are measured through the online monitoring system, so as to judge whether the operation of the transformer is abnormal based on the operating parameters, and simultaneously generate alarm information to the operation and maintenance personnel, so that the transformer can be handled in time.

[0003] However, after the online monitoring system discovers abnormal operating parameters of the transformer, since the monitoring results of the online monitoring system may be abnormal, alarm information is still sent to the operation and maintenance personnel even if there is no abnormality in the transformer, thereby affecting the operation and maintenance resources.

[0004] Currently, no effective solution has been proposed to solve the problem in related technologies that the accuracy of alarm information is low due to the risk of errors in the detection results of the detection system. Summary of the invention

[0005] The present application provides a method, device and electronic device for generating alarm information to solve the problem in the related art that the accuracy of the alarm information is low due to the risk of errors in the detection results of the detection system.

[0006] According to one aspect of the present application, a method for generating alarm information is provided. The method includes: obtaining M initial operating parameters of a transformer, and determining the operating state of the transformer through the M initial operating parameters, where M is a positive integer; when the operating state is an abnormal state, obtaining N abnormal operating parameters from the M initial operating parameters, and determining a parameter verification method for each abnormal operating parameter, where N is a positive integer; determining a parameter verification process of the transformer according to the N abnormal operating parameters, and executing each parameter verification method according to the parameter verification process to obtain N verification results; and generating alarm information according to the N verification results.

[0007] Optionally, determining the operating state of the transformer through M initial operating parameters includes: obtaining a parameter threshold of each initial operating parameter to obtain M parameter thresholds, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; comparing each initial operating parameter with the corresponding parameter threshold to obtain M comparison results, and judging whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; when all M comparison results conform to the preset numerical relationship, determining that the operating state of the transformer is a normal state; when there is at least one comparison result that does not conform to the preset numerical relationship, determining that the operating state of the transformer is an abnormal state.

[0008] Optionally, obtaining N abnormal operating parameters from M initial operating parameters includes: obtaining a parameter threshold of each initial operating parameter to obtain M parameter thresholds, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; comparing each initial operating parameter with the corresponding parameter threshold to obtain M comparison results, and judging whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; in the case where there is a comparison result that does not conform to the preset numerical relationship, obtaining the comparison result that does not conform to the preset numerical relationship from the M comparison results to obtain N abnormal comparison results; determining the initial operating parameter to which the N abnormal comparison results belong as an abnormal operating parameter to obtain N abnormal operating parameters.

[0009] Optionally, the parameter verification method for determining each abnormal operating parameter includes: for any abnormal operating parameter, obtaining the operating characteristics represented by the abnormal operating parameter, and determining the characteristic type of the operating characteristic; determining the verification steps for verifying the abnormal operating parameter according to the characteristic type, and determining the inspection equipment used to verify the abnormal operating parameter according to the verification steps; determining the verification standards for the abnormal operating parameters, and combining the verification steps, inspection equipment and verification standards to obtain the parameter verification method.

[0010] Optionally, determining the parameter verification process of the transformer based on N abnormal operating parameters includes: determining the verification positions for verifying each abnormal operating parameter on the transformer to obtain N verification positions; determining the shortest route for traversing the N abnormal operating parameters based on the positional relationship between the N verification positions; generating a verification order for the N abnormal operating parameters based on the shortest route, and generating a parameter verification process based on the verification order.

[0011] Optionally, each parameter verification method is executed according to the parameter verification process to obtain N verification results including: for any parameter verification method, obtaining target verification information according to the parameter verification method, wherein the target verification information is used to verify the abnormal operating parameters corresponding to the parameter verification method; obtaining benchmark verification information of the abnormal operating parameters, and calculating the difference between the target verification information and the benchmark verification information; when the difference is greater than a preset difference, determining that the verification result obtained by executing the parameter verification method is abnormal; when the difference is less than or equal to the preset difference, determining that the verification result obtained by executing the parameter verification method is normal.

[0012] Optionally, generating alarm information based on N verification results includes: when there is an abnormal verification result among the N verification results, obtaining abnormal operating parameters corresponding to the abnormal verification result, and generating alarm information based on the abnormal operating parameters; when all N verification results are normal verification results, determining that the operating status of the transformer is normal, and terminating the step of generating alarm information.

[0013] According to another aspect of the present application, a device for generating alarm information is provided. The device includes: a first acquisition unit, used to acquire M initial operating parameters of the transformer, and determine the operating state of the transformer through the M initial operating parameters, where M is a positive integer; a second acquisition unit, used to acquire N abnormal operating parameters from the M initial operating parameters when the operating state is an abnormal state, and determine the parameter verification method of each abnormal operating parameter, where N is a positive integer; a determination unit, used to determine the parameter verification process of the transformer according to the N abnormal operating parameters, and execute each parameter verification method according to the parameter verification process to obtain N verification results; a generation unit, used to generate alarm information according to the N verification results.

[0014] According to another aspect of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, a method for generating alarm information provided in the aforementioned embodiment of the present application is implemented.

[0015] According to another aspect of the present invention, an electronic device is also provided, comprising one or more processors and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein when the computer-readable instructions are executed, a method for generating alarm information provided in the aforementioned embodiment is executed.

[0016] Through this application, the following steps are adopted: obtain M initial operating parameters of the transformer, and determine the operating state of the transformer through the M initial operating parameters, where M is a positive integer; when the operating state is an abnormal state, obtain N abnormal operating parameters from the M initial operating parameters, and determine the parameter verification method of each abnormal operating parameter, where N is a positive integer; determine the parameter verification process of the transformer according to the N abnormal operating parameters, and execute each parameter verification method according to the parameter verification process to obtain N verification results; generate alarm information according to the N verification results. The problem of low accuracy of alarm information due to the risk of errors in the detection results of the detection system in the related technology is solved. The operating state of the transformer is determined by the initial operating parameters of the transformer, and when the operating state is abnormal, the abnormal operating parameters are determined, and the parameters are secondary verified through the parameter verification process and the parameter verification method of each parameter, so as to ensure the accuracy of the abnormal operating parameters, and then generate alarm information according to the verification results of the secondary verification, so as to achieve the technical effect of improving the accuracy of the output alarm information. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 is a flowchart of a method for generating alarm information according to an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of a system for generating alarm information according to an embodiment of the present application;

[0020] Figure 3 is a schematic diagram of a device for generating alarm information according to an embodiment of the present application;

[0021] Figure 4 It is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[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. Based on 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 the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] It should be noted that the alarm information generation method, device and electronic device determined in the present disclosure can be used in the field of electrical equipment, and can also be used in any field other than the field of electrical equipment. The application field of the alarm information generation method, device and electronic device determined in the present disclosure is not limited.

[0026] It should be noted that the collected information, user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) used in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data are in compliance with the relevant laws, regulations and standards of the relevant regions, necessary confidentiality measures are taken, and public order and good customs are not violated. Corresponding operation portals are provided for users to choose to authorize or refuse to use. For example, an interface is set up between this system and relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0027] The embodiments or examples of the present disclosure are not exhaustive, but are only illustrative of some embodiments or examples, and are not intended to be specific limitations on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment or example can be implemented as an independent example, and the steps can be combined arbitrarily. For example, the scheme after removing some steps in a certain embodiment or example can also be implemented as an independent example, and the order of the steps in a certain embodiment or example can be arbitrarily exchanged. In addition, the optional methods or optional examples in a certain embodiment or example can be combined arbitrarily; in addition, the various embodiments or examples can be combined arbitrarily, for example, some or all steps of different embodiments or examples can be combined arbitrarily, and a certain embodiment or example can be combined arbitrarily with the optional methods or optional examples of other embodiments or examples.

[0028] According to an embodiment of the present application, a method for generating alarm information is provided.

[0029] Figure 1 1 is a flow chart of a method for generating alarm information according to an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0030] Step S101, obtaining M initial operating parameters of the transformer, and determining the operating state of the transformer according to the M initial operating parameters, wherein M is a positive integer.

[0031] Specifically, when the transformer is running, a plurality of initial operating parameters of the transformer can be obtained, wherein the initial operating parameters can be detected by sensors arranged in the transformer.

[0032] For example, the initial operating parameters of the monitoring transformer may include but are not limited to the following:

[0033] 1) Temperature parameters: The temperature of key parts of the transformer (such as windings, cores, oil tanks, etc.) is monitored through temperature sensors to prevent failures caused by overheating.

[0034] 2) Gas content parameters: monitor the gas content in transformer oil, including hydrogen, acetylene, methane, etc. The changes in the content of these gases can reflect the type and degree of faults inside the transformer.

[0035] 3) Partial discharge parameters: Through high-frequency partial discharge, very high frequency, ultra-high frequency partial discharge and other modules, determine whether partial discharge occurs inside the transformer by monitoring the voltage.

[0036] 4) Vibration parameters: The vibration parameters of the transformer are monitored by vibration sensors to determine the vibration conditions of the transformer and to evaluate the mechanical stability and operating condition of the transformer.

[0037] 5) Oil level and oil pressure parameters: The oil level and oil pressure of the transformer tank are monitored by oil level and oil pressure sensors to ensure sufficient and normal circulation of transformer oil.

[0038] 6) Oil chromatography parameters: Using the principle of gas chromatography analysis, monitor the gases dissolved in transformer oil, such as hydrogen, carbon monoxide, methane, ethane, ethylene, acetylene, etc., to predict potential equipment failures at an early stage.

[0039] Furthermore, after obtaining the initial operating parameters, it is necessary to analyze the initial operating parameters so as to determine the operating state of the transformer based on the M initial operating parameters. When determining the operating state of the transformer, it is possible to compare the initial operating parameters with the parameter indicators to determine whether there are abnormal parameters in the initial operating parameters, thereby determining whether the transformer equipment is abnormal.

[0040] For example, in the temperature parameters, the internal temperature of the transformer is 50°C, and the temperature parameter index is less than 60°C. At this time, it can be determined that the temperature parameter is normal. When the internal temperature of the transformer is 70°C, it can be determined that the temperature is abnormal. Then the initial operating parameter is abnormal, and it can be determined that the transformer operating state is abnormal.

[0041] It should be noted that when confirming the initial operating parameters, as long as one of the initial operating parameters is abnormal, it can be determined that the operating state of the transformer is abnormal. At this time, the subsequent process of generating alarm information can be started, thereby improving the efficiency of generating alarm information.

[0042] Step S102, when the operating state is an abnormal state, obtain N abnormal operating parameters from the M initial operating parameters, and determine a parameter verification method for each abnormal operating parameter, wherein N is a positive integer.

[0043] It should be noted that when it is determined that the operating state is abnormal, since among the M initial operating parameters, as long as one abnormal operating parameter is detected, the operating state of the transformer can be determined to be abnormal. Therefore, after determining that the operating state of the transformer is abnormal, it is necessary to determine all the abnormal operating parameters among the M initial operating parameters, so as to alarm all abnormal points of the transformer.

[0044] It should be noted that the abnormal operating conditions of the transformer include but are not limited to: high transformer winding temperature, high oil temperature, abnormal oil level, abnormal partial discharge, abnormal vibration, abnormal oil pressure, abnormal oil chromatography analysis, etc.

[0045] Specifically, since more than one module may be abnormal when the transformer operates abnormally, when it is determined that the operating state is an abnormal state, each of the M initial operating parameters can be compared with the corresponding index parameters, so that all the abnormal operating parameters in the M initial operating parameters can be identified and screened, thereby obtaining N abnormal operating parameters, and further generating alarm information based on the abnormal operating parameters.

[0046] Furthermore, after determining the abnormal operating parameters, it is necessary to further determine the parameter verification method of each abnormal operating parameter. When determining the parameter verification method, you can first determine the type of the abnormal operating parameter, and use the parameter verification method under this type to verify the abnormal operating parameter, so as to obtain a verification result.

[0047] For example, if the abnormal operating parameter is the transformer winding temperature, the verification method may be to use an external temperature measuring device to measure the transformer winding to determine whether the transformer winding temperature is abnormal.

[0048] Step S103, determining a parameter verification process of the transformer according to the N abnormal operation parameters, and executing various parameter verification methods according to the parameter verification process to obtain N verification results; and generating alarm information according to the N verification results.

[0049] Specifically, after determining the parameter verification method for each abnormal operating parameter, since there may be multiple abnormal operating parameters, in order to improve the verification efficiency of the abnormal operating parameters, the verification process for verifying the multiple abnormal operating parameters can be determined first, wherein the verification process is also the order of N parameter verification methods, and each parameter verification method is executed according to the verification process, so that N verification results can be obtained while ensuring the verification efficiency, and then corresponding alarm information can be generated according to the verification results, thereby ensuring the accuracy of the generated alarm information.

[0050] It should be noted that when determining the verification process, it can be determined according to the type of abnormal operating parameters. When the type is temperature, the verification method needs to be measured through external temperature measurement equipment. Since the current verification operation is usually carried out by drones or unmanned vehicles and other equipment, in order to avoid frequent switching of measurement equipment, the parameter verification method corresponding to the same type of abnormal operating parameters can be set at adjacent positions in the verification process, thereby improving the execution efficiency of the verification process.

[0051] Similarly, the execution process of each parameter verification method can be set according to the execution position of each parameter verification method, and multiple parameter verification methods with close execution positions can be set at adjacent positions in the verification process, thereby improving the execution efficiency of the verification process.

[0052] The method for generating alarm information provided by the embodiment of the present application obtains M initial operating parameters of the transformer, and determines the operating state of the transformer through the M initial operating parameters, wherein M is a positive integer; when the operating state is an abnormal state, obtains N abnormal operating parameters from the M initial operating parameters, and determines the parameter verification method of each abnormal operating parameter, wherein N is a positive integer; determines the parameter verification process of the transformer according to the N abnormal operating parameters, and executes each parameter verification method according to the parameter verification process to obtain N verification results; generates alarm information according to the N verification results. The problem that the accuracy of the alarm information is low due to the risk of errors in the detection results of the detection system in the related art is solved. The operating state of the transformer is determined by the initial operating parameters of the transformer, and when the operating state is abnormal, the abnormal operating parameters are determined, and the parameters are secondary verified through the parameter verification process and the parameter verification method of each parameter, so as to ensure the accuracy of the abnormal operating parameters, and then generate alarm information according to the verification results of the secondary verification, so as to achieve the technical effect of improving the accuracy of the output alarm information.

[0053] In order to accurately determine the operating status of the transformer, optionally, in the alarm information generation method provided in the embodiment of the present application, determining the operating status of the transformer through M initial operating parameters includes: obtaining parameter thresholds of each initial operating parameter to obtain M parameter thresholds, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; comparing each initial operating parameter with the corresponding parameter threshold to obtain M comparison results, and judging whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; when all M comparison results conform to the preset numerical relationship, determining that the operating status of the transformer is a normal status; when there is at least one comparison result that does not conform to the preset numerical relationship, determining that the operating status of the transformer is an abnormal status.

[0054] Specifically, the parameter threshold may be a critical value of each initial operating parameter. When the critical value is exceeded, it may be determined that the initial operating parameter is abnormal. However, since some operating parameters need to be greater than the critical value under normal circumstances, and some operating parameters need to be less than the critical value under normal circumstances, when determining whether the initial operating parameter is an abnormal operating parameter, the parameter threshold of each initial operating parameter may be obtained first, and a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold may be obtained, wherein the preset numerical relationship may be a quantitative relationship between the initial operating parameter and the parameter threshold when the transformer is operating normally. For example, the preset numerical relationship may be: under normal circumstances, the transformer temperature needs to be less than 60°C.

[0055] Furthermore, after obtaining the preset numerical relationship, it is necessary to compare the currently measured initial operating parameters with the parameter thresholds corresponding to the initial operating parameters to obtain a comparison result, which is also the true numerical relationship between the currently monitored initial operating parameters and the parameter thresholds.

[0056] Further, after obtaining the true numerical relationship between the initial operating parameter and the parameter threshold, it is necessary to compare the true numerical relationship with the preset numerical relationship to determine whether the true numerical relationship conforms to the preset numerical relationship, that is, whether the true numerical relationship and the preset numerical relationship are the same. When the true numerical relationship conforms to the preset numerical relationship, it can be determined that the initial operating parameter has no abnormality. When the true numerical relationship does not conform to the preset numerical relationship, it is determined that the initial operating parameter has an abnormality. Thus, the operating state of the transformer is determined according to whether the initial operating parameter has an abnormality. That is, when the true numerical relationship of any initial operating parameter does not conform to the preset numerical relationship, the operating state of the transformer can be determined to be abnormal. Only when the true numerical relationships of all initial operating parameters conform to the preset numerical relationships, the operating state of the transformer is determined to be normal, thereby achieving the technical effect of accurately determining the operating state of the transformer.

[0057] In order to accurately determine the abnormal operating parameters, optionally, in the alarm information generation method provided in the embodiment of the present application, obtaining N abnormal operating parameters from M initial operating parameters includes: obtaining a parameter threshold of each initial operating parameter to obtain M parameter thresholds, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; comparing each initial operating parameter with the corresponding parameter threshold to obtain M comparison results, and judging whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; in the presence of a comparison result that does not conform to the preset numerical relationship, obtaining a comparison result that does not conform to the preset numerical relationship from the M comparison results to obtain N abnormal comparison results; determining the initial operating parameter to which the N abnormal comparison results belong as an abnormal operating parameter to obtain N abnormal operating parameters.

[0058] Specifically, when obtaining N abnormal operating parameters from M initial operating parameters, the parameter threshold of each initial operating parameter can be obtained first, and the preset numerical relationship between each initial operating parameter and the corresponding parameter threshold can be obtained, wherein the preset numerical relationship can be the quantitative relationship between the initial operating parameter and the parameter threshold when the transformer is operating normally, and the currently measured initial operating parameters are compared with the parameter threshold corresponding to each initial operating parameter to obtain a comparison result, which is also the actual numerical relationship between the currently monitored initial operating parameters and the parameter threshold.

[0059] Further, after obtaining the true numerical relationship between the initial operating parameter and the parameter threshold, it is necessary to compare the true numerical relationship with the preset numerical relationship to determine whether the true numerical relationship conforms to the preset numerical relationship, that is, whether the true numerical relationship and the preset numerical relationship are the same. In the case where the true numerical relationship conforms to the preset numerical relationship, it can be determined that the initial operating parameter has no abnormality, and in the case where the true numerical relationship does not conform to the preset numerical relationship, it is determined that the initial operating parameter has an abnormality, thereby identifying N abnormal operating parameters from the M initial operating parameters.

[0060] This embodiment achieves the technical effect of accurately determining abnormal operating parameters from M initial operating parameters by judging whether each comparison result conforms to the corresponding preset numerical relationship.

[0061] In order to ensure the accuracy of the parameter verification method, optionally, in the alarm information generation method provided in the embodiment of the present application, the parameter verification method for determining each abnormal operating parameter includes: for any abnormal operating parameter, obtaining the operating characteristics represented by the abnormal operating parameter, and determining the characteristic type of the operating characteristic; determining the verification steps for verifying the abnormal operating parameter according to the characteristic type, and determining the inspection equipment used to verify the abnormal operating parameter according to the verification steps; determining the verification standards for the abnormal operating parameters, and combining the verification steps, inspection equipment and verification standards to obtain the parameter verification method.

[0062] Specifically, when determining the parameter verification method, the operation characteristics represented by the abnormal operation parameter can be obtained first. For example, if the abnormal operation parameter is: the transformer temperature is 70° C., then the operation characteristic of the abnormal operation parameter is: transformer temperature.

[0063] Furthermore, after determining the operating characteristics, the characteristic type can be determined according to the operating characteristics, thereby determining the verification steps for verifying the abnormal operating parameters according to the characteristic type, and determining the inspection equipment used to verify the abnormal operating parameters according to the verification steps. That is, it is necessary to determine the specific verification method flow for verifying the parameters and the equipment required to execute the method flow according to the characteristic type, so as to obtain the verification parameters by executing the verification process according to the equipment.

[0064] It should be noted that after determining the verification process and equipment, it is also necessary to determine the verification standards for abnormal operating parameters. After obtaining the verification parameters by executing the verification process through the inspection equipment, the verification parameters and the verification standards are compared to determine the verification results of the parameters. The verification steps, inspection equipment and verification standards are then combined to obtain a parameter verification method, so that the verification results of the abnormal operating parameters can be obtained according to the parameter verification method.

[0065] This embodiment ensures the accuracy of the verification result of the abnormal operation parameters by determining the parameter verification method of the abnormal operation parameters.

[0066] Optionally, in the method for generating alarm information provided in an embodiment of the present application, determining the parameter verification process of the transformer based on N abnormal operating parameters includes: determining the verification positions for verifying each abnormal operating parameter on the transformer to obtain N verification positions; determining the shortest route for traversing the N abnormal operating parameters based on the positional relationship between the N verification positions; generating a verification order for the N abnormal operating parameters based on the shortest route, and generating a parameter verification process based on the verification order.

[0067] Specifically, when determining the parameter verification process, you can first determine the verification position where the verification operation is performed when verifying each abnormal operating parameter, obtain N verification positions, and determine the shortest verification route based on the positional relationship between the N verification positions, and then determine the verification order based on the shortest verification route, and then generate the parameter verification process.

[0068] For example, there are 5 abnormal operating parameters. When verifying each abnormal operating parameter, it is necessary to verify at position 1-position 5 respectively. At this time, the position relationship between position 1-position 5 can be determined. When the distance between position 1 and position 3 is close, and the distance between position 2 and position 4 is close, the parameter verification process can be determined as: verify the abnormal operating parameters at position 1, verify the abnormal operating parameters at position 3, verify the abnormal operating parameters at position 2, verify the abnormal operating parameters at position 4, and verify the abnormal operating parameters at position 5, thereby reducing the length of the verification process and improving the efficiency of parameter verification.

[0069] Optionally, in the alarm information generation method provided in the embodiment of the present application, each parameter verification method is executed according to the parameter verification process to obtain N verification results including: for any parameter verification method, obtaining target verification information according to the parameter verification method, wherein the target verification information is used to verify the abnormal operating parameters corresponding to the parameter verification method; obtaining benchmark verification information of the abnormal operating parameters, and calculating the difference between the target verification information and the benchmark verification information; when the difference is greater than a preset difference, determining that the verification result obtained by executing the parameter verification method is abnormal; when the difference is less than or equal to the preset difference, determining that the verification result obtained by executing the parameter verification method is normal.

[0070] Specifically, when performing a secondary verification on each parameter, the verification information of each abnormal operating parameter can be obtained first. For example, when verifying the transformer temperature, the verification information can be a temperature value. When verifying the transformer oil level, the verification information can be a picture of the oil level, etc. After obtaining the target verification information, the baseline verification information of each abnormal operating parameter can be obtained, and the difference between the baseline verification information and the target verification information can be determined. When the difference is greater than the preset difference, it is determined that the verification result obtained by executing the parameter verification method is abnormal. When the difference is less than or equal to the preset difference, it is determined that the verification result obtained by executing the parameter verification method is normal, thereby achieving the technical effect of judging whether the abnormal operating parameters are accurate according to the target verification information.

[0071] For example, when the verification information is a picture of the oil level, the benchmark verification information is a picture of the transformer oil level in a normal state. At this time, the difference between the two pictures can be calculated to determine whether the difference between the oil levels is too large, and thus determine whether the operating parameters are abnormal by changing the verification method.

[0072] Optionally, in the method for generating alarm information provided in an embodiment of the present application, generating alarm information based on N verification results includes: when there is an abnormal verification result among the N verification results, obtaining abnormal operating parameters corresponding to the abnormal verification result, and generating alarm information based on the abnormal operating parameters; when all N verification results are normal verification results, determining that the operating status of the transformer is normal, and terminating the step of generating alarm information.

[0073] Specifically, when there is an abnormal verification result among the N verification results, it indicates that there is an abnormality in the transformer. At this time, it is necessary to obtain the abnormal operating parameters corresponding to the abnormal verification result and add the abnormal operating parameters to the alarm information to ensure the accuracy of the content in the alarm information.

[0074] Furthermore, when N verification results are all normal verification results, the parameters characterizing abnormal operation are all erroneous monitoring data. At this time, the operating status of the transformer is characterized as normal, and the step of generating alarm information can be terminated. At the same time, a prompt message can be generated to inform the operation and maintenance personnel that the transformer is operating normally, but there is a fault in the monitoring system and the monitoring system needs to be maintained, thereby ensuring the accuracy of the subsequent monitoring system.

[0075] Figure 2 is a schematic diagram of a system for generating alarm information according to an embodiment of the present application, such as Figure 2As shown, the system includes: an online monitoring module 21, an operation and maintenance module 22, and a verification module 23, wherein the verification module 23 includes a patrol device, wherein the online monitoring module 21 is used to connect to the transformer, and monitor the transformer partial discharge, temperature, oil chromatography, etc. in real time online to ensure the safe and stable operation of the transformer, and provide timely and accurate fault warning and diagnosis information for the operation and maintenance personnel.

[0076] The operation and maintenance module 22 is used to generate a parameter verification process according to the operating parameters sent by the online monitoring module 21, and control the verification module 23 to verify various abnormal parameters in the transformer according to the parameter verification process, obtain the verification result, and generate alarm information according to the verification result.

[0077] The following is an embodiment of an optional alarm information generation system executing the above alarm information generation method:

[0078] Step 1: The online monitoring module 21 monitors the operation of the transformer in real time; the monitoring items include but are not limited to the following:

[0079] 1) Temperature monitoring: Use temperature sensors to monitor the temperature of key parts of the transformer (such as windings, cores, oil tanks, etc.) to prevent failures caused by overheating.

[0080] 2) Gas content monitoring: Monitor the gas content in transformer oil, including hydrogen, acetylene, methane, etc. The changes in the content of these gases can reflect the type and degree of faults inside the transformer.

[0081] 3) Partial discharge monitoring: Through high-frequency partial discharge, very high frequency, ultra-high frequency partial discharge and other modules, the partial discharge phenomenon inside the transformer is monitored to detect potential faults in time.

[0082] 4) Vibration monitoring: Vibration sensors are used to monitor the vibration of the transformer to assess its mechanical stability and operating condition.

[0083] 5) Oil level and oil pressure monitoring: The oil level and oil pressure of the transformer tank are monitored through oil level and oil pressure sensors to ensure sufficient and normal circulation of transformer oil.

[0084] 6) Oil chromatography online monitoring: Using the principle of gas chromatography analysis, monitor the gases dissolved in transformer oil, such as hydrogen, carbon monoxide, methane, ethane, ethylene, acetylene, etc., to predict potential equipment failures at an early stage.

[0085] Step 2: Does the online monitoring module 21 find abnormal transformer operation? If not, continue monitoring; if yes, proceed to step 3, wherein the transformer operation abnormality includes but is not limited to high transformer winding temperature, high oil temperature, abnormal oil level, abnormal partial discharge, abnormal vibration, abnormal oil pressure, abnormal oil chromatography analysis, etc.;

[0086] Step 3: The online monitoring module 21 sends the abnormal situation to the operation and maintenance module 22, requesting parameter verification of the transformer;

[0087] Step 4: After the operation and maintenance module 22 receives the transformer operation abnormality alarm sent by the online monitoring module 21, it generates a verification plan. The operation and maintenance module 22 automatically generates a verification plan according to the transformer abnormality sent by the online monitoring module 21. The verification plan includes but is not limited to the substation name, transformer number, and verification task of the operation and maintenance module 22;

[0088] For example: Online monitoring module 21 finds that the oil level of transformer #1 in 220kV Tewei station is abnormal. The verification scheme is:

[0089] Verification location: 220kV Tewei Substation;

[0090] Verification object: #1 transformer;

[0091] Verification method: Take a picture of the transformer oil level and verify the oil level through the picture.

[0092] Step 5: The operation and maintenance module 22 sends the verification plan to the verification module 23, and the verification module 23 executes the verification plan and obtains the verification result;

[0093] Step 6: The operation and maintenance module 22 generates alarm information according to the verification result, thereby ensuring the accuracy of the alarm information.

[0094] Then, the operating state of the transformer is determined through the initial operating parameters of the transformer, and when the operating state is abnormal, the abnormal operating parameters are determined, and the parameters are secondary verified through the parameter verification process and the parameter verification method of each parameter, so as to ensure the accuracy of the abnormal operating parameters, and then an alarm message is generated according to the verification result of the secondary verification, thereby achieving the technical effect of improving the accuracy of the output alarm information.

[0095] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0096] The embodiment of the present application also provides a device for generating alarm information. It should be noted that the device for generating alarm information in the embodiment of the present application can be used to execute the method for generating alarm information provided in the embodiment of the present application. The device for generating alarm information provided in the embodiment of the present application is introduced below.

[0097] Figure 3 Schematic diagram of a device for generating alarm information according to an embodiment of the present application. Figure 3As shown, the device includes: a first acquisition unit 31, a second acquisition unit 32, a determination unit 33, and a generation unit 34.

[0098] The first acquisition unit 31 is used to acquire M initial operating parameters of the transformer and determine the operating state of the transformer according to the M initial operating parameters, wherein M is a positive integer.

[0099] The second acquisition unit 32 is used to acquire N abnormal operation parameters from the M initial operation parameters when the operation state is an abnormal state, and determine a parameter verification method for each abnormal operation parameter, wherein N is a positive integer.

[0100] The determination unit 33 is used to determine the parameter verification process of the transformer according to the N abnormal operation parameters, and execute various parameter verification methods according to the parameter verification process to obtain N verification results.

[0101] The generating unit 34 is used to generate warning information according to the N verification results.

[0102] The alarm information generation device provided in the embodiment of the present application obtains M initial operating parameters of the transformer through the first acquisition unit 31, and determines the operating state of the transformer through the M initial operating parameters, wherein M is a positive integer; the second acquisition unit 32 obtains N abnormal operating parameters from the M initial operating parameters when the operating state is abnormal, and determines the parameter verification method of each abnormal operating parameter, wherein N is a positive integer; the determination unit 33 determines the parameter verification process of the transformer according to the N abnormal operating parameters, and executes each parameter verification method according to the parameter verification process to obtain N verification results; the generation unit 34 generates alarm information according to the N verification results. The problem that the accuracy of the alarm information is low due to the risk of errors in the detection results of the detection system in the related art is solved, the operating state of the transformer is determined by the initial operating parameters of the transformer, and when the operating state is abnormal, the abnormal operating parameters are determined, and the parameters are verified twice through the parameter verification process and the parameter verification method of each parameter, so as to ensure the accuracy of the abnormal operating parameters, and then generate alarm information according to the verification results of the secondary verification, thereby achieving the technical effect of improving the accuracy of the output alarm information.

[0103] Optionally, in the alarm information generation device provided in the embodiment of the present application, the first acquisition unit 31 includes: a first acquisition module, used to obtain the parameter threshold of each initial operating parameter, obtain M parameter thresholds, and obtain a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; a first comparison module, used to compare each initial operating parameter with the corresponding parameter threshold, obtain M comparison results, and determine whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; a first determination module, used to determine that the operating state of the transformer is a normal state when all M comparison results conform to the preset numerical relationship; a second determination module, used to determine that the operating state of the transformer is an abnormal state when there is at least one comparison result that does not conform to the preset numerical relationship.

[0104] Optionally, in the alarm information generating device provided in the embodiment of the present application, the second acquisition unit 32 includes: a second acquisition module, used to acquire the parameter threshold of each initial operating parameter, obtain M parameter thresholds, and obtain a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold; a second comparison module, used to compare each initial operating parameter with the corresponding parameter threshold, obtain M comparison results, and determine whether each comparison result conforms to the corresponding preset numerical relationship, wherein the comparison result is used to characterize the true numerical relationship between the initial operating parameter and the parameter threshold; a third acquisition module, used to, in the case where there is a comparison result that does not conform to the preset numerical relationship, obtain the comparison result that does not conform to the preset numerical relationship from the M comparison results, and obtain N abnormal comparison results; a third determination module, used to determine the initial operating parameter to which the N abnormal comparison results belong as an abnormal operating parameter, and obtain N abnormal operating parameters.

[0105] Optionally, in the alarm information generating device provided in the embodiment of the present application, the second acquisition unit 32 includes: a fourth acquisition module, used to obtain the operating characteristics represented by the abnormal operating parameters for any abnormal operating parameter, and determine the characteristic type of the operating characteristics; a fourth determination module, used to determine the verification steps for verifying the abnormal operating parameters according to the characteristic type, and determine the inspection equipment used to verify the abnormal operating parameters according to the verification steps; a combination module, used to determine the verification standards for the abnormal operating parameters, and combine the verification steps, inspection equipment and verification standards to obtain a parameter verification method.

[0106] Optionally, in the alarm information generating device provided in the embodiment of the present application, the determination unit 33 includes: a fifth determination module, used to determine the verification position for verifying each abnormal operating parameter on the transformer, and obtain N verification positions; a sixth determination module, used to determine the shortest route for traversing the N abnormal operating parameters based on the positional relationship between the N verification positions; a generation module, used to generate a verification order for the N abnormal operating parameters according to the shortest route, and generate a parameter verification process according to the verification order.

[0107] Optionally, in the alarm information generating device provided in the embodiment of the present application, the determination unit 33 includes: a fifth acquisition module, used to obtain target verification information according to the parameter verification method for any parameter verification method, wherein the target verification information is used to verify the abnormal operating parameters corresponding to the parameter verification method; a sixth acquisition module, used to obtain benchmark verification information of the abnormal operating parameters, and calculate the difference between the target verification information and the benchmark verification information; a seventh determination module, used to determine that the verification result obtained by executing the parameter verification method is abnormal when the difference is greater than a preset difference; and an eighth determination module, used to determine that the verification result obtained by executing the parameter verification method is normal when the difference is less than or equal to the preset difference.

[0108] Optionally, in the alarm information generation device provided in the embodiment of the present application, the generation unit 34 includes: a seventh acquisition module, which is used to obtain abnormal operating parameters corresponding to the abnormal verification result when there is an abnormal verification result among the N verification results, and generate alarm information based on the abnormal operating parameters; a ninth determination module, which is used to determine that the operating status of the transformer is normal when all N verification results are normal verification results, and terminate the step of generating alarm information.

[0109] The above-mentioned alarm information generation device includes a processor and a memory. The above-mentioned first acquisition unit 31, second acquisition unit 32, determination unit 33, generation unit 34, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0110] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the problem of low accuracy of alarm information due to the risk of errors in the detection results of the detection system in the related art is solved by adjusting the kernel parameters.

[0111] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0112] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the method for generating alarm information is implemented.

[0113] An embodiment of the present invention provides a processor, which is used to run a program, wherein the method for generating alarm information is executed when the program is running.

[0114] Figure 4 is a schematic diagram of an electronic device provided according to an embodiment of the present application, such as Figure 4 As shown, an embodiment of the present invention provides an electronic device, the electronic device 40 includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned method for generating alarm information when executing the program. The device in this article can be a server, a PC, a PAD, a mobile phone, etc.

[0115] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the steps of the above-mentioned method for generating alarm information.

[0116] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0117] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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.

[0118] 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 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0120] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0121] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0122] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0123] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0124] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for generating alarm information, characterized in that: include: Acquire M initial operating parameters of the transformer, and determine the operating state of the transformer according to the M initial operating parameters, where M is a positive integer; When the operating state is an abnormal state, obtaining N abnormal operating parameters from the M initial operating parameters, and determining a parameter verification method for each abnormal operating parameter, wherein N is a positive integer; Determine a parameter verification process of the transformer according to the N abnormal operation parameters, and execute various parameter verification methods according to the parameter verification process to obtain N verification results; Generate warning information according to the N verification results.

2. The method according to claim 1, characterized in that: Determining the operating state of the transformer by using the M initial operating parameters includes: Obtaining a parameter threshold value of each initial operating parameter to obtain M parameter threshold values, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold value; Comparing each initial operating parameter with a corresponding parameter threshold to obtain M comparison results, and determining whether each comparison result conforms to a corresponding preset numerical relationship, wherein the comparison result is used to characterize a true numerical relationship between the initial operating parameter and the parameter threshold; When the M comparison results all meet the preset numerical relationship, determining that the operating state of the transformer is a normal state; When there is at least one comparison result that does not conform to the preset numerical relationship, it is determined that the operating state of the transformer is an abnormal state.

3. The method according to claim 1, characterized in that Acquiring N abnormal operating parameters from the M initial operating parameters includes: Obtaining a parameter threshold value of each initial operating parameter to obtain M parameter threshold values, and obtaining a preset numerical relationship between each initial operating parameter and the corresponding parameter threshold value; Comparing each initial operating parameter with a corresponding parameter threshold to obtain M comparison results, and determining whether each comparison result conforms to a corresponding preset numerical relationship, wherein the comparison result is used to characterize a true numerical relationship between the initial operating parameter and the parameter threshold; In the case where there are comparison results that do not conform to the preset numerical relationship, obtaining the comparison results that do not conform to the preset numerical relationship from the M comparison results to obtain N abnormal comparison results; The initial operating parameters to which the N abnormal comparison results belong are determined as the abnormal operating parameters to obtain the N abnormal operating parameters.

4. The method according to claim 1, characterized in that: Parameter verification methods for determining each abnormal operating parameter include: For any abnormal operating parameter, obtaining an operating feature represented by the abnormal operating parameter, and determining a feature type of the operating feature; Determining a verification step for verifying the abnormal operating parameter according to the feature type, and determining an inspection device used to verify the abnormal operating parameter according to the verification step; Determine the verification standard of the abnormal operation parameter, and combine the verification step, the inspection equipment and the verification standard to obtain the parameter verification method.

5. The method according to claim 1, characterized in that The parameter verification process of determining the transformer according to the N abnormal operation parameters includes: Determine verification positions for verifying each abnormal operating parameter on the transformer to obtain N verification positions; Determine the shortest route traversing the N abnormal operating parameters according to the positional relationship between the N verification positions; A verification order for the N abnormal operation parameters is generated according to the shortest route, and the parameter verification process is generated according to the verification order.

6. The method according to claim 1, characterized in that Execute each parameter verification method according to the parameter verification process to obtain N verification results including: For any parameter verification method, obtaining target verification information according to the parameter verification method, wherein the target verification information is used to verify the abnormal operation parameters corresponding to the parameter verification method; Acquiring benchmark verification information of the abnormal operating parameter, and calculating the difference between the target verification information and the benchmark verification information; When the difference is greater than a preset difference, determining that a verification result obtained by executing the parameter verification method is abnormal; When the difference is less than or equal to the preset difference, it is determined that the verification result obtained by executing the parameter verification method is normal.

7. The method according to claim 1, characterized in that Generating warning information according to the N verification results includes: When there is an abnormal verification result among the N verification results, obtaining an abnormal operation parameter corresponding to the abnormal verification result, and generating the alarm information according to the abnormal operation parameter; When the N verification results are all normal verification results, it is determined that the operating status of the transformer is normal, and the step of generating alarm information is terminated.

8. A device for generating alarm information, characterized in that: include: A first acquisition unit, configured to acquire M initial operating parameters of the transformer, and determine an operating state of the transformer according to the M initial operating parameters, wherein M is a positive integer; a second acquisition unit, configured to acquire, when the operating state is an abnormal state, N abnormal operating parameters from the M initial operating parameters, and determine a parameter verification method for each abnormal operating parameter, wherein N is a positive integer; A determination unit, configured to determine a parameter verification process of the transformer according to the N abnormal operation parameters, and execute various parameter verification methods according to the parameter verification process to obtain N verification results; A generating unit is used to generate warning information according to the N verification results.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for generating warning information according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for generating alarm information as described in any one of claims 1 to 7.

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