CN116054404A

CN116054404A - Power equipment abnormality early warning method and device

Info

Publication number: CN116054404A
Application number: CN202310033684.4A
Authority: CN
Inventors: 刘炜; 柯挺; 廖泽浩; 陈颖平; 韩晋; 赵铭; 林镇锋; 周海; 刘兆平; 田松林
Original assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Current assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Priority date: 2023-01-10
Filing date: 2023-01-10
Publication date: 2023-05-02

Abstract

The invention discloses an abnormality early warning method and device for power equipment, wherein the method comprises the following steps: acquiring a real-time state data set monitored by an abnormality monitoring device, wherein the real-time state data set comprises real-time state data corresponding to each power equipment in a preset area; judging whether target state data meeting preset abnormal conditions exist in the real-time state data set or not; when the real-time state data set is judged to have the target state data meeting the preset abnormal condition, determining target power equipment corresponding to the target state data, and sending a target early warning instruction matched with the target state data to the target power equipment so as to trigger the target power equipment to execute the operation matched with the target early warning instruction. Therefore, when the abnormality of the power equipment is predicted, the method and the device can timely take effective response, improve the timeliness of the abnormality early warning of the power equipment, prevent unexpected situation from spreading, and protect life and property safety of people.

Description

Power equipment abnormality early warning method and device

Technical Field

The invention relates to the technical field of monitoring and early warning, in particular to an abnormality early warning method and device for power equipment.

Background

With the global warming aggravated, strong convection weather events such as typhoons, storm and the like frequently occur and the intensity is increased, and when strong convection weather occurs, the safe and stable operation of power equipment is threatened, thereby influencing the production and living orders of people and even bringing great hidden danger to the life and property safety of people.

The existing power equipment is used for processing the cable connector by using a thermal shrinkage process technology, so that the power equipment is waterproof and anti-creeping in the normal use process, but when the power equipment is affected by strong convection weather and fails to early warn in time, and the power equipment is damaged, particularly when the strong electric equipment is damaged, the electrified cable is exposed, and a series of unexpected events such as short circuit of the power equipment, explosion of the equipment, unexpected electric shock of personnel, regional fire and the like occur.

Therefore, it is important to provide a technical scheme for improving the early warning timeliness of the power equipment abnormality.

Disclosure of Invention

The technical problem to be solved by the invention is to provide the power equipment abnormality early warning method and the power equipment abnormality early warning device, which can be beneficial to improving the timeliness of the power equipment abnormality early warning, improving the operation, maintenance and overhaul efficiency and protecting the life and property safety of the people.

In order to solve the technical problem, the first aspect of the invention discloses an abnormality early warning method for power equipment, which comprises the following steps:

acquiring a real-time state data set monitored by an abnormality monitoring device, wherein the real-time state data set comprises real-time state data corresponding to each power equipment in a preset area;

judging whether target state data meeting preset abnormal conditions exist in the real-time state data set or not;

when the real-time state data set is judged to have the target state data meeting the preset abnormal condition, determining target power equipment corresponding to the target state data, and sending a target early warning instruction matched with the target state data to the target power equipment so as to trigger the target power equipment to execute the operation matched with the target early warning instruction.

As an optional implementation manner, in the first aspect of the present invention, the real-time state data set includes real-time current voltage data, and the real-time current voltage data includes real-time current data and real-time voltage data;

the judging whether the real-time state data set has target state data meeting the preset abnormal condition comprises the following steps:

Judging whether real-time current and voltage data exceeding a preset threshold value interval exist in the real-time state data set or not;

when the real-time current and voltage data exceeding the preset threshold value interval exist in the real-time current and voltage data, determining that target state data meeting preset abnormal conditions exist in the real-time state data set, and determining that the real-time current and voltage data exceeding the preset threshold value interval is the target state data.

As an alternative embodiment, in the first aspect of the invention, the real-time status data set further comprises real-time humidity data, real-time particulate matter concentration data, real-time temperature data, real-time load bearing data and/or real-time power equipment image data, the real-time humidity data comprising humidity data of a current dielectric of the power equipment, the real-time particulate matter concentration data set comprising nearby particulate matter concentration data of the current dielectric of the power equipment, the real-time temperature data comprising temperature data of the current dielectric of the power equipment, the real-time load bearing data comprising load bearing data of the current dielectric of the power equipment, the real-time power equipment image data comprising image data of the current power equipment;

The judging whether the real-time state data set has target state data meeting the preset abnormal condition or not further comprises:

judging whether real-time state data greater than or equal to a preset judging factor exists in the real-time state data set, and when judging that the real-time state data greater than or equal to the preset judging factor exists in the real-time state data set, determining that target state data meeting a preset abnormal condition exists in the real-time state data set, and determining that the real-time state data greater than or equal to the preset judging factor is the target state data meeting the preset abnormal condition;

the preset grinding and judging factors comprise at least one of a preset humidity threshold, a preset particulate matter concentration threshold and a preset temperature threshold, and each preset grinding and judging factor has the real-time state data corresponding to the preset grinding and judging factor;

and/or the number of the groups of groups,

judging whether real-time bearing data larger than or equal to a preset bearing threshold exists in the real-time state data set, when judging that the real-time bearing data larger than or equal to the preset bearing threshold exists in the real-time state data set, determining that target state data meeting preset abnormal conditions exists in the real-time state data set, and determining that the real-time bearing data larger than or equal to the preset bearing threshold is the target state data; or alternatively, the process may be performed,

When judging that the real-time state data set has real-time bearing data which is larger than or equal to a preset bearing threshold value and when judging that the real-time temperature data of target power equipment corresponding to the real-time bearing data which is larger than or equal to the preset bearing threshold value is smaller than a preset minimum temperature threshold value, determining that the real-time state data set has target state data which meets preset abnormal conditions, and determining that the real-time bearing data which is larger than or equal to the preset bearing threshold value is the target state data;

and/or the number of the groups of groups,

judging whether real-time power equipment image data meeting the preset power equipment abnormal condition exists in the real-time state data set according to a preset power equipment abnormal monitoring model, determining that target state data meeting the preset abnormal condition exists in the real-time state data set when judging that the real-time power equipment image data meeting the preset power equipment abnormal condition exists in the real-time state data set, and determining that the real-time power equipment image data meeting the preset power equipment abnormal condition is the target state data.

In a first aspect of the present invention, the sending, to the target power device, a target early warning instruction matched with the target state data, to trigger the target power device to perform an operation matched with the target early warning instruction includes:

When the real-time state data set comprises real-time current and voltage data and/or power equipment image data, an abnormality early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormality early warning prompt, wherein the abnormality early warning prompt is used for prompting that the target power equipment is in an abnormality state;

when the real-time state data set comprises real-time humidity data, real-time bearing data and/or real-time particulate matter concentration data, an abnormal risk early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormal risk early warning prompt, and the abnormal risk early warning prompt is used for prompting that the target power equipment has abnormal risk.

When the real-time state data set comprises real-time temperature data, sending a power-off instruction matched with the target temperature data to the target power equipment so as to trigger the power-off grounding of the target power equipment; or sending a standby power transmission line starting instruction matched with the target temperature data to the target power equipment so as to trigger the target power equipment to start a standby power transmission line for replacing an abnormal power transmission line, and powering off the abnormal power transmission line to be grounded.

In a first aspect of the present invention, at least two electrical devices are included in the preset area, each electrical device includes an early warning device corresponding to the electrical device, and the early warning device is used for executing an operation matched with the target early warning instruction, and the method further includes:

when the early warning device corresponding to the target power equipment fails, determining at least one power equipment as early warning power equipment, wherein the early warning device corresponding to the early warning power equipment is normal;

and sending a target early warning instruction matched with the target state data to the early warning power equipment so as to trigger the early warning power equipment to execute the operation matched with the target early warning instruction.

As an optional implementation manner, in the first aspect of the present invention, the determining that at least one of the electrical devices is an early warning electrical device includes:

determining candidate power equipment with normal early warning device;

when a plurality of candidate power equipment is determined, setting the target power equipment as an early warning circle center, and determining a target early warning area according to the early warning circle center and a preset radius distance;

And determining all the power equipment in the target early warning area as the early warning power equipment.

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

determining an abnormality influence factor of target power equipment corresponding to the target state data according to the target state data meeting the preset abnormality condition, wherein the abnormality influence factor is used as a reference basis for early warning of abnormality of the target power equipment;

and according to the abnormality influencing factor, sending power equipment abnormality information to a power system emergency unit corresponding to the target power equipment to trigger the power system emergency unit to execute an operation matched with the power equipment abnormality information, wherein the power equipment abnormality information comprises the abnormality influencing factor.

The second aspect of the invention discloses an abnormality early warning device for electrical equipment, which comprises:

the acquisition module is used for acquiring a real-time state data set obtained by monitoring by the abnormality monitoring device, wherein the real-time state data set comprises real-time state data corresponding to each power equipment in a preset area;

the judging module is used for judging whether target state data meeting preset abnormal conditions exist in the real-time state data set;

The determining module is used for determining target power equipment corresponding to the target state data when the judging module judges that the target state data meeting the preset abnormal condition exists in the real-time state data set;

and the early warning module is used for sending a target early warning instruction matched with the target state data to the target power equipment so as to trigger the target power equipment to execute the operation matched with the target early warning instruction.

As an alternative embodiment, in the second aspect of the present invention, the real-time state data set includes real-time current voltage data, and the real-time current voltage data includes real-time current data and real-time voltage data;

the judging module judges whether the real-time state data set has the target state data meeting the preset abnormal condition or not, which comprises the following steps:

As an alternative embodiment, in the second aspect of the present invention, the real-time status data set further comprises real-time humidity data, real-time particulate matter concentration data, real-time temperature data, real-time load bearing data and/or real-time power equipment image data, the real-time humidity data comprising humidity data of a current dielectric of the power equipment, the real-time particulate matter concentration data set comprising nearby particulate matter concentration data of the current dielectric of the power equipment, the real-time temperature data comprising temperature data of the current dielectric of the power equipment, the real-time load bearing data comprising load bearing data of the current dielectric of the power equipment, the real-time power equipment image data comprising image data of the current power equipment;

the judging module judges whether the real-time state data set has the target state data meeting the preset abnormal condition or not, and the method further comprises the following steps:

and/or the number of the groups of groups,

And/or the number of the groups of groups,

In a second aspect of the present invention, the method for sending, by the early warning module, a target early warning instruction matched with the target state data to the target power device to trigger the target power device to perform an operation matched with the target early warning instruction includes:

In a second aspect of the present invention, at least two electrical devices are included in the preset area, each electrical device includes an early warning device corresponding to the electrical device, and the early warning device is used for executing an operation matched with the target early warning instruction;

The determining module is further configured to determine that at least one of the power devices is an early warning power device when an early warning device corresponding to the target power device fails, where the early warning device corresponding to the early warning power device is normal;

the early warning module is further used for sending a target early warning instruction matched with the target state data to the early warning power equipment so as to trigger the early warning power equipment to execute the operation matched with the target early warning instruction.

As an optional implementation manner, in the second aspect of the present invention, the determining module determines that at least one of the electrical devices is an early warning electrical device includes:

determining candidate power equipment with normal early warning device;

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine, according to target state data that meets the preset abnormal condition, an abnormal impact factor of a target power device corresponding to the target state data, where the abnormal impact factor is used as a reference basis for early warning of an abnormality of the target power device;

The early warning module is further configured to send power equipment abnormality information to a power system emergency unit corresponding to the target power equipment according to the abnormality influence factor, so as to trigger the power system emergency unit to execute an operation matched with the power equipment abnormality information, where the power equipment abnormality information includes the abnormality influence factor.

The third aspect of the invention discloses another power equipment abnormality early warning device, which comprises:

a memory storing executable program code;

a processor coupled to the memory;

the processor calls the executable program codes stored in the memory to execute the power equipment abnormality early warning method disclosed in the first aspect of the invention.

A fourth aspect of the present invention discloses a computer storage medium storing computer instructions for executing the power equipment abnormality warning method disclosed in the first aspect of the present invention when the computer instructions are called.

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

the invention discloses an abnormality early warning method and device for power equipment, wherein the method comprises the following steps: acquiring a real-time state data set monitored by an abnormality monitoring device, wherein the real-time state data set comprises real-time state data corresponding to each power equipment in a preset area; judging whether target state data meeting preset abnormal conditions exist in the real-time state data set or not; when the real-time state data set is judged to have the target state data meeting the preset abnormal condition, determining target power equipment corresponding to the target state data, and sending a target early warning instruction matched with the target state data to the target power equipment so as to trigger the target power equipment to execute the operation matched with the target early warning instruction. Therefore, when the abnormality of the power equipment is pre-judged, the method and the device can timely take effective response, improve the timeliness of early warning of the abnormality of the power equipment, prevent unexpected situation from spreading, and simultaneously improve the efficiency of daily operation, maintenance and overhaul of the power equipment of the power system, and help the power system to protect life and property safety of people at any time.

Based on the complexity of strong convection weather and the richness of factors affecting the power equipment, the method and the device can monitor various real-time physical data of the power equipment according to different physical influences of different strong convection weather on the power equipment, further can improve the accuracy of abnormal early warning of the power equipment, can further improve the timeliness of the abnormal early warning of the power equipment, and prevent the occurrence of abnormality of the power equipment due to unexpected temporary incapability of timely judging.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of an abnormality early warning method for electric power equipment according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of another method for early warning of abnormality of electrical equipment according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an abnormality early warning device for electrical equipment according to an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of another abnormality early warning device for electrical equipment according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not 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 may be included in at least one embodiment of the invention. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses an abnormality early warning method and device for power equipment, which can timely take effective response when abnormality of the power equipment is pre-judged, improve timeliness of abnormality early warning of the power equipment and prevent unexpected situation from spreading.

The following will describe in detail.

Example 1

Referring to fig. 1, fig. 1 is a flow chart of an abnormality early warning method for electrical equipment according to an embodiment of the present invention. The power equipment abnormality pre-warning method described in fig. 1 can be applied to a power equipment abnormality pre-warning device, the power equipment abnormality pre-warning device can be an independent terminal device, information interconnection and intercommunication can be performed with a power system/a power cloud service platform/a power grid edge cloud platform, the power equipment abnormality pre-warning device can also be information interconnection and intercommunication with terminal equipment and software programs thereof, and the power equipment abnormality pre-warning method described in fig. 1 can also be applied to a power system/a power cloud service platform/a power grid edge cloud platform/an emergency management unit/a smart city management system based on the internet of things/a blockchain. As shown in fig. 1, the power equipment abnormality early warning method may include the following operations:

101. and acquiring a real-time state data set monitored by the abnormality monitoring device.

The real-time state data set comprises real-time state data corresponding to each power device in a preset area. The power equipment comprises weak/strong electric power equipment such as traffic street lamps, traffic signals and the like, electrified billboards, town beautifying landscape electrified equipment, landmark landscape lamps, telegraph poles, transformers, power substations, high-voltage power network towers and the like.

The real-time status data corresponding to each of the power devices includes one or more. When the number of the electric devices is plural, plural real-time status data corresponding to the plural electric devices form the real-time status data set, and the real-time status data can specifically reflect the physical status of the corresponding electric devices, and specifically may include, but not limited to, real-time voltage data, real-time current data, real-time working power data, real-time dielectric conductivity data, and the like of the corresponding electric devices.

102. And judging whether target state data meeting preset abnormal conditions exist in the real-time state data set.

When judging that the target state data meeting the preset abnormal condition exists in the real-time state data set, triggering and executing step 103; and when judging that the target state data meeting the preset abnormal condition does not exist in the real-time state data set, triggering and executing step 101.

103. A target power device corresponding to the target state data is determined.

Each of the above-described target state data includes identification information of the target power device to which the target state data corresponds, which may include, but is not limited to, a device ID, a device attribute, device appearance information, device image information, and the like of the target power device.

The determining manner of the target power device corresponding to the target state data may include:

determining a target power device corresponding to target state data according to the identification information and a preset power device information list, wherein the preset power device information list can be an off-line physical list or an on-line information list stored by the application device, and the preset power device information list comprises identification information corresponding to each power device in a preset area.

104. And sending a target early warning instruction matched with the target state data to the target power equipment so as to trigger the target power equipment to execute the operation matched with the target early warning instruction.

Therefore, when the abnormality of the power equipment is pre-judged, the method and the device can timely take effective response, improve the timeliness of early warning of the abnormality of the power equipment, prevent unexpected situation from spreading, and simultaneously improve the efficiency of daily operation, maintenance and overhaul of the power equipment of the power system, and help the power system to protect life and property safety of people at any time. In addition, because the target power equipment is abnormal equipment, the abnormal target power equipment can be timely determined by triggering the target power equipment to execute the operation matched with the target early warning instruction, namely triggering the abnormal target power equipment to perform early warning, so that people can be far away from the target power equipment.

Meanwhile, based on the complexity of strong convection weather and the richness of factors affecting the power equipment, the method can monitor various real-time physical data of the power equipment according to different physical influences of different strong convection weather on the power equipment, further can improve the accuracy of abnormal early warning of the power equipment, can further improve the timeliness of the abnormal early warning of the power equipment, and can prevent the abnormal occurrence of the power equipment from being temporarily and timely judged when the power equipment is out of mind.

In an alternative embodiment, the real-time state data set includes real-time current voltage data, and the real-time current voltage data includes real-time current data and real-time voltage data;

the above-mentioned determining whether the target state data satisfying the preset abnormal condition exists in the real-time state data set may include the following operations:

The above-mentioned operation of judging whether the real-time current voltage data exceeding the preset threshold interval exists in the real-time state data set includes: judging whether real-time current data exceeding a preset threshold value interval exists in the real-time state data set or not, and judging whether real-time voltage data exceeding the preset threshold value interval exists in the real-time state data set or not.

When the electric equipment is in a leakage condition, if the dielectric short circuit condition in the electric equipment occurs, the real-time current of the electric equipment is increased, and the real-time voltage is reduced; if a dielectric break in the power device occurs, the real-time voltage of the power device will increase and the real-time current will decrease;

in summary, the leakage condition of the power equipment is caused by any strong convection weather or other external and internal factors, and the short circuit/disconnection condition of the dielectric medium of the power equipment is caused by the factors.

The preset threshold may specifically control the range of the preset threshold according to the specific application scenario and the strong/weak current attribute of the application device, which is not specifically limited by the present invention.

Therefore, the invention can judge whether the power equipment meets the preset abnormal condition according to the monitored real-time voltage data and real-time current data changes of the power equipment, can timely take effective response when the power equipment is judged to be abnormal, improves the timeliness of the abnormal early warning of the power equipment, prevents unexpected situation from spreading, and helps the power system to protect life and property safety of people at any time.

In this optional embodiment, as an optional implementation manner, the real-time status data set may further include real-time humidity data, real-time particulate matter concentration data, real-time temperature data, real-time bearing data, and/or real-time power equipment image data, where the real-time humidity data includes humidity data of a dielectric medium of the current power equipment, the real-time particulate matter concentration data set includes nearby particulate matter concentration data of the dielectric medium of the current power equipment, the real-time temperature data includes temperature data of the dielectric medium of the current power equipment, the real-time bearing data includes bearing data of the dielectric medium of the current power equipment, and the real-time power equipment image data includes image data of the current power equipment;

and determining whether the target state data meeting the preset abnormal condition exists in the real-time state data set further includes the following operations:

judging whether real-time state data greater than or equal to a preset judging factor exists in the real-time state data set, and when judging that the real-time state data greater than or equal to the preset judging factor exists in the real-time state data set, determining that target state data meeting preset abnormal conditions exists in the real-time state data set, and determining that the real-time state data greater than or equal to the preset judging factor is the target state data meeting the preset abnormal conditions;

The preset grinding and judging factors comprise at least one of a preset humidity threshold, a preset particulate matter concentration threshold and a preset temperature threshold, and each preset grinding and judging factor has real-time state data corresponding to the preset grinding and judging factor;

and/or the number of the groups of groups,

judging whether real-time bearing data larger than or equal to a preset bearing threshold exists in the real-time state data set, and when the real-time bearing data larger than or equal to the preset bearing threshold exists in the real-time state data set, determining that target state data meeting preset abnormal conditions exists in the real-time state data set, and determining that the real-time bearing data larger than or equal to the preset bearing threshold is the target state data; or alternatively, the process may be performed,

when the real-time state data set is judged to have the real-time bearing data which is larger than or equal to the preset bearing threshold value and the real-time temperature data of the target power equipment corresponding to the real-time bearing data which is larger than or equal to the preset bearing threshold value is judged to be smaller than the preset minimum temperature threshold value, determining that the real-time state data set has the target state data which meets the preset abnormal condition, and determining that the real-time bearing data which is larger than or equal to the preset bearing threshold value is the target state data;

and/or the number of the groups of groups,

Judging whether real-time power equipment image data meeting the preset power equipment abnormal condition exists in the real-time state data set according to the preset power equipment abnormal monitoring model, and determining that target state data meeting the preset abnormal condition exists in the real-time state data set and determining that the real-time power equipment image data meeting the preset power equipment abnormal condition is the target state data when judging that the real-time power equipment image data meeting the preset power equipment abnormal condition exists in the real-time state data set.

In daily life, the reason that the power equipment in the external environment is most prone to be abnormal comes from the influence of strong convection weather on the power equipment, the humidity of the dielectric medium of the power equipment is monitored, and the condition that the dielectric medium in the power equipment is leaked due to water can be early warned; meanwhile, the concentration of particles near the dielectric medium of the power equipment is monitored, so that the dielectric medium of the power equipment can be prevented from being contacted with excessive salt ions, and the situation that the power transmission and transformation equipment is leaked or discharged due to the increase of the salt content on the surface of the insulator of the power transmission and transformation equipment can be prevented; and the temperature of the power equipment is monitored, so that the situation of electric leakage and even explosion of the power equipment when the power equipment is overloaded can be prevented, and the power equipment can be used as a factor for predicting whether the power equipment is abnormal or not when the voltage and the current are monitored in an auxiliary mode; the bearing data of the dielectric medium of the power equipment is monitored, so that the condition that the power equipment is abnormal due to the fact that the high-voltage cable or other dielectric medium is frozen in winter, typhoons in summer and the like can be prevented.

The preset power equipment abnormality monitoring model may include a classification model/decision model in the image algorithm/semantic segmentation field, where the classification model/decision model is used to identify power equipment image data obtained in real time and classify/decide whether the power equipment image data is abnormal image data of the power equipment, the image data format may be real-time video stream, the classification model may be configured in a cloud service platform or an edge cloud platform, and the monitoring result of the classification model may be used as an auxiliary means for predicting whether the power equipment is abnormal in a background power grid system, so as to record the running condition of the power equipment in real time.

Therefore, the implementation of the optional embodiment can be based on the complexity of strong convection weather, the burstiness of other influence factors and the richness of the influence factors on the power equipment, and the method can monitor various real-time physical data of the power equipment according to different physical influences of different strong convection weather on the power equipment, so that the accuracy of the abnormality early warning of the power equipment can be improved, the timeliness of the abnormality early warning of the power equipment can be further improved by accurate early warning, unexpected temporary prevention can be prevented, and the abnormality of the power equipment cannot be timely judged.

Example two

Referring to fig. 2, fig. 2 is a flow chart of an abnormality early warning method for electrical equipment according to an embodiment of the present invention. The power equipment abnormality pre-warning method described in fig. 2 can be applied to a power equipment abnormality pre-warning device, the power equipment abnormality pre-warning device can be an independent terminal device, information interconnection and intercommunication can be performed with a power system/a power cloud service platform/a power grid edge cloud platform, the power equipment abnormality pre-warning device can also be information interconnection and intercommunication with terminal equipment and software programs thereof, and the power equipment abnormality pre-warning method described in fig. 2 can also be applied to a power system/a power cloud service platform/a power grid edge cloud platform/an emergency management unit/a smart city management system based on the internet of things/a blockchain. As shown in fig. 2, the power equipment abnormality early warning method may include the following operations:

201. and acquiring a real-time state data set monitored by the abnormality monitoring device.

202. Judging whether target state data meeting preset abnormal conditions exist in the real-time state data set, and triggering and executing step 203 when judging that the target state data meeting the preset abnormal conditions exist in the real-time state data set; when it is determined that the real-time state data set does not have the target state data satisfying the preset abnormal condition, the execution of step 201 is triggered.

203. A target power device corresponding to the target state data is determined.

In the embodiment of the present invention, for other descriptions of step 201 to step 203, please refer to the detailed descriptions of step 101 to step 103 in the first embodiment, and the description of the embodiment of the present invention is omitted.

204. When the real-time state data set comprises real-time current and voltage data and/or power equipment image data, an abnormality early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormality early warning prompt.

When the real-time state data set comprises real-time humidity data, real-time bearing data and/or real-time particulate matter concentration data, an abnormal risk early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormal risk early warning prompt.

When the real-time state data set comprises real-time temperature data, sending a power-off instruction matched with the target temperature data to target power equipment so as to trigger the power-off grounding of the target power equipment; or sending a command of starting the standby power transmission line matched with the target temperature data to the target power equipment so as to trigger the target power equipment to start the standby power transmission line for replacing the abnormal power transmission line, and powering off the abnormal power transmission line to be grounded.

The abnormality early warning prompt is used for prompting that the target power equipment is in an abnormal state; the abnormal risk early warning prompt is used for prompting that the abnormal risk exists in the target power equipment.

Optionally, the above-mentioned target power device includes an early warning device, where the early warning device is used to prompt that the power device is in an abnormal state or that the power device has an abnormal risk, and a mode of executing the early warning device to perform the early warning prompt or the early warning prompt of the abnormal risk may include, but is not limited to, an acoustic and optical combined prompt mode, and the early warning device may include an information prompt screen, an externally-placed sound, a solar photovoltaic panel, and other external devices;

when the target power equipment is a traffic street lamp and the real-time humidity data of the target power equipment is monitored to be abnormal, the corresponding abnormal risk early warning prompt mode can be that a prompt screen of the early warning device displays that the humidity data of a dielectric medium of the current power equipment corresponding to the abnormal real-time humidity data is abnormal, or directly displays that an insulating layer of a cable of the current power equipment is broken and the leakage risk of the exposed air is displayed; meanwhile, the external sound of the early warning device plays the content information displayed by the prompt screen, or directly broadcasts the information that the current power equipment is abnormal and prompts pedestrians to get away.

The specific prompt content and the prompt combination form can be adjusted according to specific application scenes, and the invention is not particularly limited.

Therefore, the embodiment of the invention can provide a customized prompting mode according to the abnormal condition of the power equipment and the abnormal state or abnormal risk, so as to remind people to keep away from the power equipment to perform self-protection when the power equipment is abnormal, and prevent a secondary accident from occurring in the process of responding to the rush-repair command of the power system.

In this optional embodiment, as an optional implementation manner, the preset area includes at least two electric devices, each of which includes an early warning device corresponding to the electric device, where the early warning device is configured to perform an operation matched with the target early warning instruction, and the method further includes:

The monitoring mode of the fault of the early warning device can comprise that the early warning device does not respond to the target early warning instruction.

Therefore, by implementing the optional embodiment, whether the early warning device corresponding to the target power equipment has a fault or not can be monitored, when the early warning device of the target power equipment has a fault, the above-mentioned sound and light combined prompt operation can be performed through the early warning devices of other power equipment, so that when the power equipment is abnormal, people are reminded to be far away from the power equipment, self-protection is performed, and the occurrence of secondary accidents in the process of responding to the emergency repair command of the power system is prevented.

In this optional embodiment, as another optional implementation manner, the determining that the at least one electrical device is an early warning electrical device may include the following operations:

determining candidate power equipment with normal early warning device;

and determining all the power equipment in the target early warning area as early warning power equipment.

Therefore, by implementing the optional embodiment, other early warning devices of the power equipment which can be normally used can be further selected according to the application scene of the invention, unexpected personal injury can be effectively prevented from happening in the peripheral dangerous range of the abnormal target power equipment, and the power system is further assisted to protect life and property safety of people.

In an optional embodiment, the foregoing power equipment abnormality warning method may further include the following operations:

determining an abnormality influence factor of the target power equipment corresponding to the target state data according to the target state data meeting the preset abnormality condition, wherein the abnormality influence factor is used as a reference basis for early warning of abnormality of the target power equipment;

and according to the abnormality influencing factors, sending power equipment abnormality information to the power system emergency units corresponding to the target power equipment to trigger the power system emergency units to execute operations matched with the power equipment abnormality information, wherein the power equipment abnormality information comprises the abnormality influencing factors.

The anomaly impact factor may include a physical meaning of the anomaly occurrence corresponding to each data included in the real-time status data set, for example: when the real-time humidity data and the real-time particulate matter concentration data of the current power equipment are monitored to be abnormal, it can be determined that the abnormality influence factor of the target power equipment is the humidity data of the dielectric medium of the current power equipment and the nearby particulate matter concentration data of the dielectric medium, so that the current power equipment is indicated to have abnormal risks, the abnormal risks can be inferred to be the leakage risks of the insulating layer of the cable of the power equipment and the exposed air, and the power equipment abnormality information can at least comprise the inferred information.

The power system emergency unit may include an emergency processing unit inside the power equipment, such as: a circuit breaker, etc., or may include an entity responsible division, such as a power bureau, fire department, etc., to which the target power device corresponds.

Therefore, by implementing the optional embodiment, the reason of the abnormality and the specific abnormal component of the power equipment can be deduced according to the abnormal physical data of the power equipment, and the deduced information is sent to the power system emergency unit corresponding to the target power equipment, so that the maintenance efficiency of the power system is improved, the timeliness of early warning of abnormal power equipment is further improved, the unexpected situation is prevented from spreading due to the delay of the power equipment over time, meanwhile, the efficiency of daily operation, maintenance and maintenance of the power equipment of the power system is further improved, and the life and property security driving protection navigation of the power system for people is assisted constantly.

Example III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an abnormality pre-warning device for electrical equipment according to an embodiment of the present invention. The power equipment abnormality early warning device described in fig. 3 may be an independent terminal device, and may also perform information interconnection with a power system/a power cloud service platform/a power grid edge cloud platform, and the power equipment abnormality early warning device may also perform information interconnection with a terminal device and a software program thereof, and the power equipment abnormality early warning device described in fig. 3 may also be applied to a power system/a power cloud service platform/a power grid edge cloud platform/an emergency management unit/a smart city management system based on the internet of things/a blockchain, where the embodiment of the invention is not limited. As shown in fig. 3, the power equipment abnormality early warning apparatus may include:

The acquiring module 301 is configured to acquire a real-time status data set monitored by the anomaly monitoring device, where the real-time status data set includes real-time status data corresponding to each power device in a preset area.

The judging module 302 is configured to judge whether target state data satisfying a preset abnormal condition exists in the real-time state data set.

The determining module 303 is configured to determine, when the determining module 302 determines that the real-time status data set includes target status data that satisfies the preset abnormal condition, a target power device corresponding to the target status data.

The early warning module 304 is configured to send a target early warning instruction matched with the target state data to the target power device, so as to trigger the target power device to execute an operation matched with the target early warning instruction.

The above determination manner of determining the target power device corresponding to the target state data may include:

the above-mentioned determining module 302 determines whether the real-time status data set has the target status data satisfying the preset abnormal condition includes:

In this optional embodiment, as an optional implementation manner, the real-time status data set further includes real-time humidity data, real-time particulate matter concentration data, real-time temperature data, real-time bearing data, and/or real-time power equipment image data, the real-time humidity data includes humidity data of a dielectric medium of the current power equipment, the real-time particulate matter concentration data set includes nearby particulate matter concentration data of the dielectric medium of the current power equipment, the real-time temperature data includes temperature data of the dielectric medium of the current power equipment, the real-time bearing data includes bearing data of the dielectric medium of the current power equipment, and the real-time power equipment image data includes image data of the current power equipment;

the above-mentioned manner of determining whether the target state data satisfying the preset abnormal condition exists in the real-time state data set by the determining module 302 further includes:

The preset grinding and judging factors comprise at least one of a preset humidity threshold, a preset particulate matter concentration threshold and a preset temperature threshold, and each preset grinding and judging factor has real-time state data corresponding to the preset grinding and judging factor; and/or the number of the groups of groups,

when the real-time state data set is judged to have the real-time bearing data which is larger than or equal to the preset bearing threshold value and the real-time temperature data of the target power equipment corresponding to the real-time bearing data which is larger than or equal to the preset bearing threshold value is judged to be smaller than the preset minimum temperature threshold value, determining that the real-time state data set has the target state data which meets the preset abnormal condition, and determining that the real-time bearing data which is larger than or equal to the preset bearing threshold value is the target state data; and/or the number of the groups of groups,

In another alternative embodiment, the foregoing method for the early warning module 304 to send the target early warning command matched with the target state data to the target power device, so as to trigger the target power device to perform the operation matched with the target early warning command includes:

when the real-time state data set comprises real-time current and voltage data and/or power equipment image data, an abnormal early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormal early warning prompt, wherein the abnormal early warning prompt is used for prompting that the target power equipment is in an abnormal state;

when the real-time state data set comprises real-time humidity data, real-time bearing data and/or real-time particulate matter concentration data, an abnormal risk early warning instruction matched with the target state data is sent to the target power equipment so as to trigger the target power equipment to output an abnormal risk early warning prompt, wherein the abnormal risk early warning prompt is used for prompting that the target power equipment has abnormal risk.

In this optional embodiment, as an optional implementation manner, the preset area includes at least two electric devices, where each electric device includes an early warning device corresponding to the electric device, and the early warning device is configured to perform an operation matched with the target early warning instruction;

the determining module 303 is further configured to determine that at least one electrical device is an early warning electrical device when an early warning device corresponding to a target electrical device fails, where the early warning device corresponding to the early warning electrical device is normal;

the foregoing early warning module 304 is further configured to send a target early warning instruction matched with the target state data to the early warning power device, so as to trigger the early warning power device to execute an operation matched with the target early warning instruction.

In this optional embodiment, as another optional implementation manner, the determining module 303 determines that at least one electrical device is an early warning electrical device includes:

determining candidate power equipment with normal early warning device;

In an optional embodiment, the determining module 303 is further configured to determine, according to target state data that meets a preset abnormal condition, an abnormal impact factor of the target power device corresponding to the target state data, where the abnormal impact factor is used as a reference basis for early warning of an abnormality of the target power device;

the early warning module 304 is further configured to send, according to the abnormality influencing factor, power equipment abnormality information to a power system emergency unit corresponding to the target power equipment, so as to trigger the power system emergency unit to execute an operation matched with the power equipment abnormality information, where the power equipment abnormality information includes the abnormality influencing factor.

Example IV

Referring to fig. 4, fig. 4 is a schematic structural diagram of another power equipment abnormality pre-warning device according to an embodiment of the present invention. As shown in fig. 4, the power equipment abnormality early warning apparatus may include:

a memory 401 storing executable program codes;

a processor 402 coupled with the memory 401;

The processor 402 invokes executable program codes stored in the memory 401 to execute steps in the power equipment abnormality warning method described in the first or second embodiment of the present invention.

Example five

The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the power equipment abnormality early warning method described in the first or second embodiment of the invention when the computer instructions are 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 steps in the power equipment abnormality warning method described in the first embodiment or the second embodiment.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over 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. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses a method and a device for early warning of abnormality of power equipment, which are disclosed by the embodiment of the invention and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. An abnormality early warning method for electric equipment, characterized by comprising the following steps:

2. The electrical equipment anomaly pre-warning method of claim 1, wherein the real-time state data set comprises real-time current voltage data, the real-time current voltage data comprising real-time current data and real-time voltage data;

3. The electrical device anomaly pre-warning method of claim 2, wherein the real-time status data set further comprises real-time humidity data, real-time particulate matter concentration data, real-time temperature data, real-time load bearing data, and/or real-time electrical device image data, the real-time humidity data comprising humidity data of a current dielectric of the electrical device, the real-time particulate matter concentration data set comprising nearby particulate matter concentration data of the current dielectric of the electrical device, the real-time temperature data comprising temperature data of the current dielectric of the electrical device, the real-time load bearing data comprising load bearing data of the current dielectric of the electrical device, the real-time electrical device image data comprising image data of the current electrical device;

and/or the number of the groups of groups,

4. The power equipment abnormality warning method according to claim 1, wherein the sending, to the target power equipment, a target warning instruction that matches the target state data to trigger the target power equipment to perform an operation that matches the target warning instruction includes:

5. The method for warning of an abnormality in a power plant according to any one of claims 1 to 4, wherein the preset area includes at least two power plants, each of the power plants includes a warning device corresponding to the power plant, and the warning device is configured to perform an operation matched with the target warning instruction, and the method further includes:

6. The method of claim 5, wherein determining that at least one of the power devices is an alert power device comprises:

determining candidate power equipment with normal early warning device;

7. The electrical equipment anomaly pre-warning method of any one of claims 1-4, further comprising:

8. An electrical equipment anomaly early warning device, characterized in that the device comprises:

the acquisition module is used for acquiring a real-time state data set monitored by the abnormality monitoring device, wherein the real-time state data set comprises real-time state data corresponding to each power equipment in a preset area;

9. An electrical equipment anomaly early warning device, characterized in that the device comprises:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the electrical device anomaly pre-warning method of any one of claims 1-7.

10. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the electrical equipment anomaly pre-warning method of any one of claims 1 to 7.