CN115545286A

CN115545286A - Intelligent early warning method and device based on meteorological data

Info

Publication number: CN115545286A
Application number: CN202211157423.5A
Authority: CN
Inventors: 冯薇玺; 许海源; 李清; 黄萍
Original assignee: Shenzhen Power Supply Bureau Co Ltd
Current assignee: Shenzhen Power Supply Bureau Co Ltd
Priority date: 2022-09-22
Filing date: 2022-09-22
Publication date: 2022-12-30

Abstract

The invention discloses an intelligent early warning method and device based on meteorological data, wherein the method comprises the following steps: the method comprises the steps of obtaining real-time meteorological data in a target scene, inputting the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result, judging whether the meteorological data analysis result meets a preset alarm condition, if so, determining a meteorological alarm reason that the meteorological data analysis result meets the preset alarm condition according to the meteorological data analysis result, and generating early warning information according to the meteorological alarm reason and the meteorological data analysis result. Therefore, the accuracy and the reliability of the meteorological data analysis result can be improved by implementing the method, so that the accuracy and the reliability of determining the meteorological alarm reason can be improved, the accuracy and the reliability of generating the early warning information can be improved, and the safety of using power grid equipment can be improved.

Description

Intelligent early warning method and device based on meteorological data

Technical Field

The invention relates to the technical field of electric power, in particular to an intelligent early warning method and device based on meteorological data.

Background

With the development of economic level and the continuous progress of science and technology, the living standard of people is gradually improved. The electric energy brings endless convenience to people, and becomes essential energy and indispensable resources in production and life of people, and the relation between the power grid equipment and the electric energy is inseparable. At present, global climate warming and circulation abnormal phenomena occur frequently, the frequency of occurrence of disastrous weather increases year by year, and the influence of weather on the operation of power grid equipment is greater and greater, such as rainfall, thunder, temperature and the like are factors influencing the operation safety of the power grid equipment. At present, the early warning information is usually issued when the power grid equipment is found to be faulty manually, but the number of the power grid equipment is large and the distribution range is wide, so that the accuracy of generating the early warning information is difficult to ensure, and the safety of the power grid equipment during operation is further difficult to ensure. Therefore, it is important to provide a new early warning method based on meteorological data to improve the accuracy of generating early warning information and further improve the safety of using power grid equipment.

Disclosure of Invention

The invention aims to solve the technical problem that an intelligent early warning method and device based on meteorological data are provided, which can be beneficial to improving the accuracy of generating early warning information and further beneficial to improving the safety of using power grid equipment.

In order to solve the technical problem, the first aspect of the invention discloses an intelligent early warning method based on meteorological data, which comprises the following steps:

acquiring real-time meteorological data in a target scene, and inputting the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result;

judging whether the meteorological data analysis result meets a preset alarm condition or not;

when the weather data analysis result is judged to meet the preset alarm condition, determining the weather alarm reason of the weather data analysis result meeting the preset alarm condition according to the weather data analysis result;

and generating early warning information according to the weather warning reason and the weather data analysis result.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

determining work order information matched with the early warning information according to the early warning information, wherein the work order information comprises one or more of work order processing personnel, processing schemes, warning levels and warning equipment;

generating a microclimate warning work order according to the work order information;

and sending the microclimate alarm work order to a terminal corresponding to the processing personnel matched with the microclimate alarm work order so that the processing personnel matched with the microclimate alarm work order execute the processing operation matched with the microclimate alarm work order.

As an optional implementation manner, in the first aspect of the present invention, after generating the microclimate alarm work order according to the work order information, before sending the microclimate alarm work order to the terminal corresponding to the processing person matched with the microclimate alarm work order, the method further includes:

determining the processing content of the microclimate alarm work order according to the microclimate alarm work order, and judging whether the processing content meets the preset automatic processing condition or not, wherein the processing content comprises the processing operation step;

when the processing content is judged not to meet the preset automatic processing condition, triggering and executing the operation of sending the microclimate alarm work order to the terminal corresponding to the processing personnel matched with the microclimate alarm work order;

when the processing content is judged to meet the preset automatic processing condition, determining at least one piece of equipment to be processed corresponding to the microclimate alarm work order and a processing mode matched with each piece of equipment to be processed according to the processing content;

generating a target control parameter corresponding to each to-be-processed device according to at least one to-be-processed device corresponding to the microclimate alarm work order and a processing mode matched with each to-be-processed device;

and executing target operation matched with the target control parameter corresponding to the equipment to be processed on the equipment to be processed aiming at each equipment to be processed so as to execute processing operation matched with the microclimate alarm work order on all the equipment to be processed.

As an optional implementation manner, in the first aspect of the present invention, after, for each of the to-be-processed devices, performing a target operation on the to-be-processed device, where the target operation matches a target control parameter corresponding to the to-be-processed device, the method further includes:

acquiring the equipment information of all the equipment to be processed, and judging whether the equipment information of the equipment to be processed is used for indicating that the equipment to be processed finishes the target operation or not aiming at each equipment to be processed;

when the equipment information of the equipment to be processed is judged to be used for indicating that the equipment to be processed finishes the target operation, the equipment to be processed is determined as finished processing equipment, and the microclimate alarm work order is updated according to the target control parameters;

when the equipment information of the equipment to be processed is judged to be used for indicating that the equipment to be processed does not finish the target operation, the equipment to be processed is determined as abnormal processing equipment, the abnormal reason of the target operation which is not finished by the abnormal processing equipment is analyzed, abnormal control parameters are determined according to the abnormal reason and the microclimate alarm work order, and the operation matched with the abnormal control parameters is executed on the abnormal processing equipment.

acquiring lightning real-time data in the target scene, and inputting the lightning real-time data into a preset lightning data analysis model to obtain a lightning data analysis result;

predicting the lightning trend in the target scene according to the lightning data analysis result, and judging whether the lightning trend meets the preset safe operation condition;

when the lightning trend is judged not to meet the preset safe operation condition, analyzing the reason of lightning alarm when the lightning trend does not meet the preset safe operation condition;

the generating of early warning information according to the weather warning reason and the weather data analysis result comprises:

and generating early warning information according to the thunder and lightning warning reason, the weather warning reason and the weather data analysis result.

As an optional implementation manner, in the first aspect of the present invention, the predicting lightning trend in the target scene according to the lightning data analysis result includes:

acquiring historical thunder and lightning data information of the target scene according to the thunder and lightning data analysis result, and generating a thunder and lightning distribution chart according to the historical thunder and lightning data information and the thunder and lightning data analysis result, wherein the thunder and lightning distribution chart comprises one or more of a thunder and lightning scatter diagram, a thunder and lightning density diagram and a thunder and lightning curve diagram;

and determining a lightning trend in the target scene according to the lightning distribution chart, wherein the lightning trend is used for representing the lightning intensity trend in the target scene and/or the lightning activity trend in the target scene.

As an optional implementation manner, in the first aspect of the present invention, the updating the microclimate alarm work order according to the target control parameter includes:

analyzing the target control parameters to obtain operation information matched with the target control parameters, wherein the operation information comprises one or more of starting time for executing the target operation, duration for executing the target operation, ending time for finishing executing the target operation and operation content for executing the target operation;

and generating a processing record according to the operation information, and updating the microclimate alarm work order according to the processing record.

The second aspect of the invention discloses an intelligent early warning device based on meteorological data, which comprises:

the acquisition module is used for acquiring real-time meteorological data in a target scene, and inputting the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result;

the judging module is used for judging whether the meteorological data analysis result meets a preset alarm condition or not;

the determining module is used for determining a weather alarm reason that the weather data analysis result meets the preset alarm condition according to the weather data analysis result when the judging module judges that the weather data analysis result meets the preset alarm condition;

and the generating module is used for generating early warning information according to the weather warning reason and the weather data analysis result.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine, according to the early warning information, work order information matched with the early warning information, where the work order information includes one or more of a work order processing person, a processing scheme, an alarm level, and an alarm device;

the generating module is also used for generating a microclimate warning work order according to the work order information;

the device further comprises:

and the sending module is used for sending the microclimate alarm work order to a terminal corresponding to the processing personnel matched with the microclimate alarm work order so that the processing personnel matched with the microclimate alarm work order execute the processing operation matched with the microclimate alarm work order.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to, after the generating module generates the microclimate alarm work order according to the work order information, before the sending module sends the microclimate alarm work order to the terminal corresponding to the processing staff matched with the microclimate alarm work order, determine the processing content of the microclimate alarm work order according to the microclimate alarm work order;

the judging module is further used for judging whether the processing content meets the preset automatic processing condition or not, the processing content comprises a processing operation step, and when the processing content does not meet the preset automatic processing condition, the sending module is triggered to execute the operation of sending the microclimate alarm work order to the terminal corresponding to the processing personnel matched with the microclimate alarm work order;

the determining module is further configured to determine, according to the processing content, at least one device to be processed corresponding to the microclimate alarm work order and a processing mode matched with each device to be processed when the determining module determines that the processing content meets the preset automatic processing condition;

the generating module is further configured to generate a target control parameter corresponding to each to-be-processed device according to at least one to-be-processed device corresponding to the microclimate alarm work order and a processing mode matched with each to-be-processed device;

the device further comprises:

and the execution module is used for executing target operation matched with the target control parameter corresponding to the equipment to be processed on the equipment to be processed aiming at each equipment to be processed so as to execute processing operation matched with the microclimate alarm work order on all the equipment to be processed.

As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to, for each to-be-processed device, after performing, on the to-be-processed device, a target operation matched with a target control parameter corresponding to the to-be-processed device, obtain device information of all the to-be-processed devices;

the judging module is further configured to judge, for each to-be-processed device, whether device information of the to-be-processed device is used to indicate that the to-be-processed device has completed the target operation;

the determining module is further configured to determine the to-be-processed device as a completed processing device when the determining module determines that the device information of the to-be-processed device indicates that the to-be-processed device has completed the target operation, and update the microclimate alarm work order according to the target control parameter;

the determining module is further configured to determine the to-be-processed device as an exception handling device when the determining module determines that the device information of the to-be-processed device is used for indicating that the to-be-processed device does not complete the target operation;

the device further comprises:

the analysis module is used for analyzing the reason of the abnormality of the incomplete target operation of the abnormality processing equipment;

the determining module is further used for determining an abnormal control parameter according to the abnormal reason and the microclimate alarm work order;

and the execution module is used for executing the operation matched with the exception control parameter to the exception handling equipment.

As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to obtain lightning real-time data in the target scene, and input the lightning real-time data into a preset lightning data analysis model to obtain a lightning data analysis result;

the device further comprises:

the prediction module is used for predicting the thunder and lightning trend in the target scene according to the thunder and lightning data analysis result;

the judging module is also used for judging whether the lightning trend meets the preset safe operation condition;

the analysis module is further used for analyzing the lightning alarm reason of the lightning trend which does not meet the preset safe operation condition when the judgment module judges that the lightning trend does not meet the preset safe operation condition;

the mode that the generating module generates early warning information according to the weather warning reason and the weather data analysis result specifically comprises the following steps:

As an optional implementation manner, in the second aspect of the present invention, the manner of predicting the lightning trend in the target scene by the prediction module according to the lightning data analysis result specifically includes:

obtaining historical thunder and lightning data information of the target scene according to the thunder and lightning data analysis result, and generating a thunder and lightning distribution chart according to the historical thunder and lightning data information and the thunder and lightning data analysis result, wherein the thunder and lightning distribution chart comprises one or more of a thunder and lightning scatter diagram, a thunder and lightning density diagram and a thunder and lightning curve diagram;

As an optional implementation manner, in the second aspect of the present invention, the manner in which the determining module updates the microclimate alarm work order according to the target control parameter specifically includes:

analyzing the target control parameter to obtain operation information matched with the target control parameter, wherein the operation information comprises one or more of starting time for executing the target operation, duration for executing the target operation, ending time for finishing executing the target operation and operation content for executing the target operation;

The third aspect of the invention discloses another intelligent early warning device based on meteorological data, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program codes stored in the memory to execute the intelligent early warning method based on the meteorological data disclosed by the first aspect of the invention.

The fourth aspect of the present invention discloses a computer-storable medium storing computer instructions for executing the intelligent early warning method based on meteorological data disclosed in the first aspect of the present invention when the computer instructions are invoked.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the real-time meteorological data in the target scene is acquired, the real-time meteorological data is input into a preset meteorological data analysis model to obtain a meteorological data analysis result, whether the meteorological data analysis result meets a preset alarm condition or not is judged, if yes, a meteorological alarm reason that the meteorological data analysis result meets the alarm condition is determined according to the meteorological data analysis result, and early warning information is generated according to the meteorological alarm reason and the meteorological data analysis result. Therefore, the method and the device can be beneficial to improving the accuracy of generating the early warning information, and further are beneficial to improving the safety of using the power grid equipment.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of an intelligent early warning method based on meteorological data according to an embodiment of the invention;

FIG. 2 is a schematic flow chart of another intelligent early warning method based on meteorological data according to the embodiment of the invention;

FIG. 3 is a schematic structural diagram of an intelligent early warning device based on meteorological data according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another intelligent early warning device based on meteorological data according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of another intelligent early warning device based on meteorological data according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses an intelligent early warning method and device based on meteorological data, which can be beneficial to improving the accuracy of generating early warning information and further beneficial to improving the safety of using power grid equipment. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent early warning method based on meteorological data according to an embodiment of the present invention. The meteorological data-based intelligent early warning method described in fig. 1 may be applied to an X meteorological data-based intelligent early warning device, and may also be applied to a local server or a cloud server of meteorological data-based intelligent early warning, which is not limited in the embodiment of the present invention. As shown in fig. 1, the intelligent early warning method based on meteorological data may include the following operations:

101. and acquiring real-time meteorological data in a target scene, and inputting the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result.

In the embodiment of the present invention, the target scene may be one of a forest scene, a mountain area scene, and an urban scene, which is optional, and the embodiment of the present invention is not limited.

In the embodiment of the present invention, optionally, the real-time meteorological data may include one or more of real-time air temperature data, real-time air pressure data, real-time relative humidity data, real-time precipitation data, real-time evaporation data, real-time wind direction data, real-time wind speed data, real-time ultraviolet intensity data, real-time sensible temperature data, real-time air quality data, and real-time sunshine duration data.

102. And judging whether the meteorological data analysis result meets the preset alarm condition or not.

In the embodiment of the present invention, optionally, when it is determined that the meteorological data analysis result meets the preset alarm condition, step 103 is triggered to be executed; when the weather data analysis result is judged not to meet the preset alarm condition, the process can be ended.

In the embodiment of the present invention, optionally, the determining whether the weather data analysis result meets the preset alarm condition may include: determining the alarm level of the real-time meteorological data according to the meteorological data analysis result, judging whether the alarm level is greater than a preset alarm level threshold value, and if so, determining that the meteorological data analysis result meets a preset alarm condition; if the result is less than the preset alarm condition, the meteorological data analysis result is determined not to meet the preset alarm condition. For example, when the alarm level of the real-time weather data is level 2 and the preset alarm level threshold is level 5, it is determined that the weather data analysis result does not satisfy the preset alarm condition.

103. And when the weather data analysis result meets the preset alarm condition, determining the weather alarm reason of the weather data analysis result meeting the preset alarm condition according to the weather data analysis result.

In the embodiment of the present invention, optionally, determining a weather alarm reason that the weather data analysis result satisfies a preset alarm condition according to the weather data analysis result may include: and extracting result keywords in the meteorological data analysis result, judging whether a target reason matched with the result keywords exists in the alarm reason database, and determining the target reason as the meteorological alarm reason of which the meteorological data analysis result meets preset alarm conditions when the target reason matched with the result keywords exists in the alarm reason database. Therefore, the weather alarm reason can be determined by the keyword matching method, the accuracy and the reliability of determining the weather alarm reason can be improved, and the accuracy and the reliability of generating the early warning information can be further improved.

104. And generating early warning information according to the weather warning reason and the weather data analysis result.

In the embodiment of the present invention, optionally, the early warning information may include one or more of image early warning information, video early warning information, text early warning information, audio early warning information, and indication signal early warning information. For example, the indication signal warning message may be a preset color of the indication signal lamp, which is converted from green to red.

Therefore, the implementation of the intelligent early warning method based on meteorological data described in fig. 1 can obtain real-time meteorological data in a target scene, the real-time meteorological data is input into a preset meteorological data analysis model to obtain a meteorological data analysis result, whether the meteorological data analysis result meets a preset warning condition is judged, if yes, a meteorological warning reason that the meteorological data analysis result meets the preset warning condition is determined according to the meteorological data analysis result, and early warning information is generated according to the meteorological warning reason and the meteorological data analysis result, so that the accuracy and the reliability of the obtained meteorological data analysis result can be improved, the accuracy and the reliability of determining the meteorological warning reason can be improved, the accuracy and the reliability of generating the early warning information can be improved, and the safety of using power grid equipment can be improved.

Example two

Referring to fig. 2, fig. 2 is a schematic flowchart of an intelligent early warning method based on meteorological data according to an embodiment of the present invention. The meteorological data-based intelligent early warning method described in fig. 2 may be applied to an X meteorological data-based intelligent early warning device, and may also be applied to a local server or a cloud server of meteorological data-based intelligent early warning, which is not limited in the embodiment of the present invention. As shown in fig. 2, the intelligent early warning method based on meteorological data may include the following operations:

201. and acquiring real-time meteorological data in a target scene, and inputting the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result.

202. And judging whether the meteorological data analysis result meets the preset alarm condition or not.

203. And when the weather data analysis result meets the preset alarm condition, determining the weather alarm reason of which the weather data analysis result meets the preset alarm condition according to the weather data analysis result.

204. And generating early warning information according to the weather warning reason and the weather data analysis result.

In the embodiment of the present invention, for other descriptions of steps 201 to 204, please refer to the detailed description of steps 101 to 104 in the first embodiment, which is not repeated herein.

205. And determining the work order information matched with the early warning information according to the early warning information.

In the embodiment of the invention, the work order information comprises one or more of work order processing personnel, processing schemes, alarm levels and alarm equipment. Optionally, the work order information may further include one or more of work order responsible personnel and alarm locations. The work order processing personnel are personnel who actually process the work order, the work order responsible personnel are personnel who are responsible for the work order, the work order processing personnel and the work order responsible personnel can be the same person or different persons, and the embodiment of the invention is not limited.

In this embodiment of the present invention, optionally, one or more warning devices may be provided, and the embodiment of the present invention is not limited.

206. And generating a microclimate alarm work order according to the work order information.

In the embodiment of the present invention, optionally, when there are multiple warning devices, the microclimate warning work order includes one or more of device information of each warning device, a processing scheme of each warning device, a warning level of each warning device, and a work order processing staff of each warning device.

In the embodiment of the present invention, further optionally, the microclimate alarm work order may include only an alarm device whose alarm level is higher than a preset alarm level threshold, or may include all alarm devices, which is not limited in the embodiment of the present invention.

207. And sending the microclimate alarm work order to a terminal corresponding to the processing personnel matched with the microclimate alarm work order so that the processing personnel matched with the microclimate alarm work order execute the processing operation matched with the microclimate alarm work order.

In the embodiment of the present invention, optionally, the microclimate alarm work order may include a repair scheme for each alarm device. The repair scheme may include one or more of a repair mode of the alarm device, a repair start time of the alarm device, a repair end time of the alarm device, a repair duration of the alarm device, and a repair location of the alarm device. Further optionally, the microclimate alarm work order may further include a repair plan within a future preset time period included in the alarm device, where the future preset time period may be one month or one week, and the embodiment of the present invention is not limited.

In this embodiment of the present invention, the terminal corresponding to the processing person may be a mobile terminal, such as one or more of a smart phone, a smart watch, and a smart tablet, or may be a fixed terminal, such as a PC terminal, which is not limited in this embodiment of the present invention.

It can be seen that, implementing the meteorological data-based intelligent early warning method and apparatus described in fig. 2 can obtain real-time meteorological data in a target scene, input the real-time meteorological data into a preset meteorological data analysis model, obtain a meteorological data analysis result, determine whether the meteorological data analysis result meets a preset warning condition, if so, determine a meteorological warning reason that the meteorological data analysis result meets the preset warning condition according to the meteorological data analysis result, generate early warning information according to the meteorological warning reason and the meteorological data analysis result, and determine work order information and then generate a microclimate warning work order, send the microclimate warning work order to a terminal corresponding to a processor matched with the microclimate warning work order, so that the processor matched with the microclimate warning work order executes processing operations matched with the microclimate warning work order, can improve the accuracy and reliability of obtaining the meteorological data analysis result, thereby being beneficial to improving the accuracy and reliability of generating the early warning information, and being beneficial to the intelligent processing of power grid and the microclimate warning.

In an optional embodiment, after generating the microclimate alarm work order according to the work order information, before sending the microclimate alarm work order to a terminal corresponding to a handler matched with the microclimate alarm work order, the method further includes:

generating a target control parameter corresponding to each equipment to be processed according to at least one equipment to be processed corresponding to the microclimate alarm work order and a processing mode matched with each equipment to be processed;

and aiming at each device to be processed, executing target operation matched with the target control parameter corresponding to the device to be processed on the device to be processed so as to execute processing operation matched with the microclimate alarm work order on all devices to be processed.

In this optional embodiment, the processing content may further include one or more of a processing operation device and a processing operation tool.

In this optional embodiment, optionally, all the devices to be processed are power grid devices that satisfy the preset automatic processing condition. Further optionally, the number of the devices to be processed may be one or multiple, and the embodiment of the present invention is not limited.

In this optional embodiment, optionally, before generating the target control parameter corresponding to each device to be processed according to at least one device to be processed corresponding to the microclimate alarm work order and the processing mode matched with each device to be processed, the method may further include: according to the microclimate alarm work order, whether a target to-be-processed equipment set with the same processing mode exists in all the to-be-processed equipment is judged, and if the target to-be-processed equipment set exists, generating the target control parameter corresponding to each to-be-processed equipment can include generating the target control parameters of all the to-be-processed equipment in the target to-be-processed equipment set. The processing modes of all the devices to be processed included in the target device set to be processed are the same, and the target control parameters of all the devices to be processed included in the target device set to be processed are the same, so that the efficiency of generating the target control parameters can be improved.

Therefore, the implementation of the optional embodiment can determine the processing content of the microclimate alarm work order and judge whether the preset automatic processing condition is met or not according to the microclimate alarm work order, and if the preset automatic processing condition is not met, the operation of sending the microclimate alarm work order to the terminal corresponding to the processing personnel is executed; if the processing method meets the requirements, according to the processing content, at least one piece of to-be-processed equipment corresponding to the microclimate alarm work order and a processing mode matched with each piece of to-be-processed equipment are determined, target control parameters corresponding to each piece of to-be-processed equipment are generated, target operation matched with the target control parameters corresponding to the to-be-processed equipment is executed on each piece of to-be-processed equipment, processing operation matched with the microclimate alarm work order is executed on all pieces of to-be-processed equipment, the accuracy and the reliability of generating the target control parameters can be improved, the intelligence and the efficiency of generating the target control parameters can be improved, the accuracy and the reliability of processing the microclimate alarm work order are improved, and the intelligence and the efficiency of processing the microclimate alarm work order are improved.

In another optional embodiment, after performing, for each device to be processed, a target operation matching a target control parameter corresponding to the device to be processed on the device to be processed, the method further includes:

acquiring equipment information of all equipment to be processed, and judging whether the equipment information of the equipment to be processed is used for indicating that the equipment to be processed finishes target operation or not for each equipment to be processed;

when the equipment information of the equipment to be processed is judged to be used for indicating that the equipment to be processed finishes the target operation, determining the equipment to be processed as the finished processing equipment, and updating the microclimate alarm work order according to the target control parameters;

when the equipment information of the equipment to be processed is judged to be used for indicating that the equipment to be processed does not finish the target operation, the equipment to be processed is determined as abnormal processing equipment, the abnormal reason of the target operation which is not finished by the abnormal processing equipment is analyzed, the abnormal control parameter is determined according to the abnormal reason and the microclimate alarm work order, and the operation matched with the abnormal control parameter is executed on the abnormal processing equipment.

In this optional embodiment, optionally, the device information may include one or more of device model information of the power grid device, device name information of the power grid device, device type information of the power grid device, device location information of the power grid device, device manufacturer information of the power grid device, device function information of the power grid device, device operation information of the power grid device, device maintenance information of the power grid device, and device service data information of the power grid device.

In this optional embodiment, optionally, the abnormal control parameter and the target control parameter are different control parameters. Further optionally, after performing the operation matching the exception control parameter on the exception handling apparatus, the method may further include: the method comprises the steps of obtaining equipment information of all equipment to be processed, and judging whether the equipment information of the equipment to be processed is used for indicating that the equipment to be processed completes target operation or not for each equipment to be processed.

Therefore, the implementation of the optional embodiment can acquire the device information of all the devices to be processed, judge whether the devices to be processed complete the target operation or not for each device to be processed, determine the devices to be processed as the completed processing devices if the devices to be processed complete the target operation, and update the microclimate alarm work order according to the target control parameters; if not, the equipment to be processed is determined as abnormal processing equipment, the abnormal reason of the incomplete target operation of the abnormal processing equipment is analyzed, the abnormal control parameter is determined according to the abnormal reason and the microclimate alarm work order, the operation matched with the abnormal control parameter is executed on the abnormal processing equipment, and the accuracy and the reliability of judging whether the equipment information of the equipment to be processed is used for indicating that the equipment to be processed completes the target operation can be improved, so that the accuracy and the reliability of determining the abnormal processing equipment are improved, the accuracy and the reliability of determining the abnormal control parameter are further improved, and the safety and the intelligence of using the power grid equipment are improved.

In yet another optional embodiment, the method further comprises:

acquiring lightning real-time data in a target scene, and inputting the lightning real-time data into a preset lightning data analysis model to obtain a lightning data analysis result;

when the lightning trend does not meet the preset safe operation condition, analyzing the lightning alarm reason of the lightning trend not meeting the preset safe operation condition;

according to weather warning reason and weather data analysis result, generate early warning information, include:

In this optional embodiment, the lightning real-time data may optionally include one or more of lightning real-time location data, lightning real-time current data, and lightning real-time voltage data. Optionally, the lightning trend in the target scene may include one or more of predicted lightning strike time data, predicted lightning strike current peak data, predicted lightning strike current polarity data, predicted lightning strike voltage value data, and predicted lightning strike location data. The lightning stroke time data comprises lightning stroke falling time data, the lightning stroke current peak data comprises the maximum value data and/or the minimum value data of lightning stroke current, the predicted lightning stroke current polarity data comprises lightning stroke current positive and negative polarity data, and the predicted lightning stroke voltage value data comprises the maximum value data and/or the minimum value data of the lightning stroke current.

In this optional embodiment, optionally, the determining whether the lightning trend meets the preset safe operation condition may include: judging whether the predicted lightning strike place data in the lightning trend meets a preset safe point falling condition or not and the predicted lightning strike current peak data in the lightning trend meets a preset safe lightning strike current condition or not, and if so, determining that the lightning trend meets a preset safe operation condition; if not, determining that the lightning trend does not meet the preset safe operation condition.

In this optional embodiment, further optionally, analyzing the reason for the lightning alarm that the lightning trend does not meet the preset safe operation condition may include: when the predicted lightning strike place data in the lightning trend are judged not to meet the preset safe point falling condition, determining the lightning warning reason as unsafe of the lightning strike place; and when the predicted lightning current peak data in the lightning trend is judged not to meet the safe lightning current condition, determining the lightning alarm reason as unsafe lightning current.

It can be seen that, by implementing the optional embodiment, the lightning real-time data in the target scene can be acquired, the lightning real-time data is input into the lightning data analysis model to obtain the lightning data analysis result, the lightning trend in the target scene is predicted, whether the lightning trend meets the safe operation condition is judged, if not, the lightning alarm reason of which the lightning trend does not meet the safe operation condition is analyzed, and the early warning information is generated according to the lightning alarm reason, the weather alarm reason and the weather data analysis result, the lightning alarm reason can be determined by combining the lightning real-time data, the intelligence and the efficiency of determining the lightning alarm reason can be improved, the accuracy and the reliability of determining the lightning alarm reason can be improved, the intelligence and the efficiency of generating the early warning information can be improved, and the accuracy and the reliability of generating the early warning information can be improved.

In another optional embodiment, predicting lightning trend in the target scene according to the lightning data analysis result comprises:

acquiring historical lightning data information of a target scene according to the lightning data analysis result, and generating a lightning distribution chart according to the historical lightning data information and the lightning data analysis result, wherein the lightning distribution chart comprises one or more of a lightning scatter diagram, a lightning density diagram and a lightning curve diagram;

and determining the lightning trend in the target scene according to the lightning distribution chart, wherein the lightning trend is used for representing the lightning strength trend in the target scene and/or the lightning activity trend in the target scene.

In this optional embodiment, optionally, the lightning scatter diagram may be used to represent the distribution sites of lightning in the target scene; the lightning density graph can be used for representing the distribution density condition of lightning in a target scene; the lightning graph may be used to represent a current value variation curve of lightning in the target scene and/or a voltage value variation curve of lightning in the target scene.

In the optional embodiment, the lightning strength trend can be used for representing one or more of the lightning current magnitude change trend and the lightning voltage magnitude change trend in the target scene; the lightning activity trend may be used to represent a trend of lightning activity location changes in the target scene.

Therefore, the optional embodiment can be implemented to generate the thunder and lightning distribution chart according to historical thunder and lightning data information and the thunder and lightning data analysis result, the thunder and lightning trend in the target scene is determined according to the thunder and lightning distribution chart, the intelligence and the efficiency of determining the thunder and lightning trend can be improved, the accuracy and the reliability of determining the thunder and lightning trend can be improved, the intelligence and the efficiency of determining the reason for thunder and lightning alarm are improved, the intelligence and the efficiency of generating early warning information are improved, and the accuracy and the reliability of generating early warning information are improved.

In yet another alternative embodiment, updating the microclimate alarm work order according to the target control parameter includes:

analyzing the target control parameters to obtain operation information matched with the target control parameters, wherein the operation information comprises one or more of the starting time of executing the target operation, the time length of executing the target operation, the finishing time of finishing executing the target operation and the operation content of executing the target operation;

In this optional embodiment, optionally, the operation content of the target operation includes one or more of a device for executing the target operation, a step for executing the target operation, and an instruction for executing the target operation.

In this optional embodiment, further optionally, the updating the microclimate warning work order may include: and updating the state of the microclimate alarm work order into a processed operation state.

In this optional embodiment, for example, when the operation information includes that the power of the target power grid device is cut off, a processing record of the current cut-off of the target power grid device is generated according to the starting time and the ending time of the cut-off of the target power grid device and the number of the power of the cut-off power grid device, and the processing record of the current cut-off of the target power grid device is updated to the microclimate alarm work order.

Therefore, the implementation of the optional embodiment can analyze the target control parameter to obtain the operation information matched with the target control parameter, generate the processing record according to the operation information, and update the microclimate alarm work order according to the processing record, so that the intelligence of updating the microclimate alarm work order can be improved, and the accuracy and the reliability of updating the microclimate alarm work order can be improved.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of another intelligent early warning device based on meteorological data according to an embodiment of the present disclosure. As shown in fig. 3, the intelligent early warning apparatus based on meteorological data may include:

the acquisition module 301 is configured to acquire real-time meteorological data in a target scene, and input the real-time meteorological data into a preset meteorological data analysis model to obtain a meteorological data analysis result;

the judging module 302 is configured to judge whether the weather data analysis result meets a preset alarm condition;

the determining module 303 is configured to determine a weather alarm reason that the weather data analysis result meets the preset alarm condition according to the weather data analysis result when the judging module 302 judges that the weather data analysis result meets the preset alarm condition;

and the generating module 304 is configured to generate early warning information according to the weather warning reason and the weather data analysis result.

It can be seen that, the implementation of the apparatus described in fig. 3 can acquire real-time meteorological data in a target scene, input the real-time meteorological data into a preset meteorological data analysis model, obtain meteorological data analysis results, determine whether the meteorological data analysis results satisfy preset alarm conditions, if so, determine meteorological alarm reasons that the meteorological data analysis results satisfy the preset alarm conditions according to the meteorological data analysis results, generate early warning information according to the meteorological alarm reasons and the meteorological data analysis results, and can improve the accuracy and reliability of the obtained meteorological data analysis results, thereby being beneficial to improving the accuracy and reliability of determining the meteorological alarm reasons, and further being beneficial to improving the accuracy and reliability of generating the early warning information, and being beneficial to improving the safety of using power grid equipment.

In an optional embodiment, as shown in fig. 4, the determining module 303 is further configured to determine, according to the warning information, work order information matched with the warning information, where the work order information includes one or more of work order processing personnel, a processing scheme, a warning level, and warning equipment;

the generating module 304 is further configured to generate a microclimate warning work order according to the work order information;

the device also includes:

a sending module 305, configured to send the microclimate alarm work order to a terminal corresponding to a processing staff matched with the microclimate alarm work order, so that the processing staff matched with the microclimate alarm work order executes a processing operation matched with the microclimate alarm work order.

It can be seen that the implementation of the apparatus described in fig. 4 can acquire real-time weather data in a target scene, input the real-time weather data into a preset weather data analysis model, obtain a weather data analysis result, determine whether the weather data analysis result satisfies a preset alarm condition, if so, determine a weather alarm reason for the weather data analysis result satisfying the preset alarm condition according to the weather data analysis result, generate early warning information according to the weather alarm reason and the weather data analysis result, and determine job ticket information and then generate a microclimate alarm job ticket, send the microclimate alarm job ticket to a terminal corresponding to a handler matched with the microclimate alarm job ticket, so that the handler matched with the microclimate alarm job ticket performs processing operations matched with the microclimate alarm job ticket, can improve the accuracy and reliability of the obtained weather data analysis result, thereby being beneficial to improving the accuracy and reliability of the generated early warning information, and being capable of generating the microclimate alarm job ticket according to the job ticket information and sending the microclimate alarm job ticket to the terminal corresponding to the handler to perform the matched processing operations, being beneficial to improve the safety of using power grid equipment, and being beneficial to improve the accuracy and reliability of the microclimate processing of the microclimate alarms.

In another optional embodiment, as shown in fig. 4, the determining module 303 is further configured to, after the generating module 304 generates the microclimate alarm work order according to the work order information, before the sending module 305 sends the microclimate alarm work order to the terminal corresponding to the processing staff matched with the microclimate alarm work order, determine the processing content of the microclimate alarm work order according to the microclimate alarm work order;

the determining module 302 is further configured to determine whether the processing content satisfies a preset automatic processing condition, where the processing content includes a processing operation step, and when it is determined that the processing content does not satisfy the preset automatic processing condition, the sending module 305 is triggered to execute an operation of sending the microclimate alarm work order to a terminal corresponding to a processing person matched with the microclimate alarm work order;

the determining module 303 is further configured to determine, according to the processing content, at least one to-be-processed device corresponding to the microclimate alarm work order and a processing mode matched with each to-be-processed device when the determining module 302 determines that the processing content meets the preset automatic processing condition;

the generating module 304 is further configured to generate a target control parameter corresponding to each to-be-processed device according to at least one to-be-processed device corresponding to the microclimate alarm work order and a processing mode matched with each to-be-processed device;

the device also includes:

and the execution module 306 is configured to execute, for each to-be-processed device, a target operation matched with the target control parameter corresponding to the to-be-processed device on the to-be-processed device, so as to execute a processing operation matched with the microclimate alarm work order on all to-be-processed devices.

It can be seen that, the implementation of the apparatus described in fig. 4 can determine the processing content of the microclimate alarm work order and determine whether the preset automatic processing condition is met according to the microclimate alarm work order, and if not, execute the operation of sending the microclimate alarm work order to the terminal corresponding to the processing personnel; if the processing method meets the requirements, at least one piece of equipment to be processed corresponding to the microclimate alarm work order and the processing mode matched with each piece of equipment to be processed are determined according to the processing content, the target control parameter corresponding to each piece of equipment to be processed is generated, the target operation matched with the target control parameter corresponding to the equipment to be processed is executed on each piece of equipment to be processed, the processing operation matched with the microclimate alarm work order is executed on all pieces of equipment to be processed, the accuracy and the reliability of the generation of the target control parameter can be improved, the intelligence and the efficiency of the generation of the target control parameter can be improved, the accuracy and the reliability of the microclimate alarm work order processing are improved, and the intelligence and the efficiency of the microclimate alarm work order processing are improved.

In yet another alternative embodiment, as shown in fig. 4, the obtaining module 301 is further configured to, for each to-be-processed device, perform, on the to-be-processed device, a target operation matched with a target control parameter corresponding to the to-be-processed device, and then obtain device information of all the to-be-processed devices;

the determining module 302 is further configured to determine, for each to-be-processed device, whether the device information of the to-be-processed device is used to indicate that the to-be-processed device has completed the target operation;

the determining module 303 is further configured to determine the to-be-processed device as a completed processing device when the determining module 302 determines that the device information of the to-be-processed device is used to indicate that the to-be-processed device has completed the target operation, and update the microclimate alarm work order according to the target control parameter;

a determining module 303, further configured to determine the to-be-processed device as an exception handling device when the determining module 302 determines that the device information of the to-be-processed device is used to indicate that the to-be-processed device does not complete the target operation;

the device also includes:

an analysis module 307, configured to analyze an exception cause of an incomplete exception handling device associated with a target operation;

the determining module 303 is further configured to determine an abnormal control parameter according to the abnormal reason and the microclimate alarm work order;

and the execution module 306 is used for executing the operation matched with the exception control parameter on the exception handling equipment.

It can be seen that, the apparatus described in fig. 4 is implemented to obtain the device information of all the devices to be processed, and for each device to be processed, it is determined whether the device to be processed has completed the target operation, if yes, the device to be processed is determined as the completed processing device, and the microclimate alarm work order is updated according to the target control parameter; if not, the equipment to be processed is determined as abnormal processing equipment, the abnormal reason of the incomplete target operation of the abnormal processing equipment is analyzed, the abnormal control parameter is determined according to the abnormal reason and the microclimate alarm work order, the operation matched with the abnormal control parameter is executed on the abnormal processing equipment, and the accuracy and reliability of judging whether the equipment information of the equipment to be processed is used for indicating that the equipment to be processed completes the target operation can be improved, so that the accuracy and reliability of determining the abnormal processing equipment are improved, the accuracy and reliability of determining the abnormal control parameter are further improved, and the safety and intelligence of using the power grid equipment are improved.

In yet another optional embodiment, as shown in fig. 4, the obtaining module 301 is further configured to obtain lightning real-time data in a target scene, and input the lightning real-time data into a preset lightning data analysis model to obtain a lightning data analysis result;

the device also includes:

the prediction module 308 is configured to predict a lightning trend in the target scene according to the lightning data analysis result;

the judging module 302 is further configured to judge whether the lightning trend meets a preset safe operation condition;

the analysis module 307 is further configured to analyze a lightning alarm reason that the lightning trend does not meet the preset safe operation condition when the judgment module 302 judges that the lightning trend does not meet the preset safe operation condition;

the mode of generating the early warning information by the generation module 304 according to the weather warning reason and the weather data analysis result specifically includes:

It can be seen that, the device described in fig. 4 can acquire lightning real-time data in a target scene, the lightning real-time data is input into a lightning data analysis model to obtain a lightning data analysis result, and the lightning trend in the target scene is predicted, whether the lightning trend meets a safe operation condition is judged, if not, the lightning alarm reason of which the lightning trend does not meet the safe operation condition is analyzed, and early warning information is generated according to the lightning alarm reason, the weather alarm reason and the weather data analysis result, the lightning alarm reason can be determined by combining the lightning real-time data, the intelligence and the efficiency of determining the lightning alarm reason are improved, the accuracy and the reliability of determining the lightning alarm reason are improved, the intelligence and the efficiency of generating the early warning information are improved, and the accuracy and the reliability of generating the early warning information are improved.

In yet another optional embodiment, as shown in fig. 4, the predicting module 308 predicts the lightning trend in the target scene according to the lightning data analysis result, specifically including:

It can be seen that the device described in fig. 4 can generate a lightning distribution chart according to historical lightning data information and lightning data analysis results, determine lightning trends in a target scene according to the lightning distribution chart, improve the intelligence and efficiency of determining lightning trends, and improve the accuracy and reliability of determining lightning trends, thereby being beneficial to improving the intelligence and efficiency of determining lightning alarm reasons, being beneficial to improving the accuracy and reliability of determining lightning alarm reasons, and further being beneficial to improving the intelligence and efficiency of generating early warning information, and being beneficial to improving the accuracy and reliability of generating early warning information.

In yet another alternative embodiment, as shown in fig. 4, the manner of updating the microclimate alarm work order by the determining module 303 according to the target control parameter specifically includes:

It can be seen that the implementation of the apparatus described in fig. 4 can analyze the target control parameter to obtain the operation information matched with the target control parameter, generate the processing record according to the operation information, and update the microclimate alarm work order according to the processing record, which can improve the intelligence of updating the microclimate alarm work order, and can improve the accuracy and reliability of updating the microclimate alarm work order.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent early warning device based on meteorological data according to an embodiment of the present disclosure. As shown in fig. 5, the intelligent early warning apparatus based on meteorological data may include:

a memory 401 storing executable program code;

a processor 402 coupled with the memory 401;

the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent early warning method based on meteorological data described in the first embodiment or the second embodiment of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and the computer instructions are used for executing the steps of the intelligent early warning method based on meteorological data described in the first embodiment or the second embodiment of the invention when being called.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps of the intelligent early warning method based on meteorological data described in the first or second embodiment.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the intelligent early warning method and device based on meteorological data disclosed in the embodiment of the invention are only preferred embodiments of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent early warning method based on meteorological data is characterized by comprising the following steps:

2. The intelligent meteorological data-based early warning method according to claim 1, further comprising:

generating a microclimate alarm work order according to the work order information;

and sending the microclimate alarm work order to a terminal corresponding to a processing person matched with the microclimate alarm work order so that the processing person matched with the microclimate alarm work order executes processing operation matched with the microclimate alarm work order.

3. The intelligent early warning method based on meteorological data according to claim 2, wherein after the microclimate alarm work order is generated according to the work order information, before the microclimate alarm work order is sent to a terminal corresponding to a processing staff matched with the microclimate alarm work order, the method further comprises:

4. The intelligent early warning method based on meteorological data according to claim 3, wherein after the target operation matched with the target control parameter corresponding to the equipment to be processed is performed on the equipment to be processed, the method further comprises:

5. The intelligent meteorological data-based early warning method according to claim 2, further comprising:

6. The intelligent meteorological data-based warning method according to claim 5, wherein the predicting lightning trend in the target scene according to the lightning data analysis result comprises:

7. The intelligent meteorological data-based warning method according to claim 4, wherein the updating the microclimate warning work order according to the target control parameter comprises:

8. An intelligent early warning device based on meteorological data, the device characterized in that:

9. An intelligent early warning device based on meteorological data, the device characterized in that:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the intelligent warning method based on meteorological data according to any one of claims 1-7.

10. A computer storage medium storing computer instructions which, when invoked, perform the intelligent warning method based on meteorological data according to any one of claims 1 to 7.