CN116032012A - Power transmission line early warning method, device, computer equipment and storage medium - Google Patents
Power transmission line early warning method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a power transmission line early warning method, a power transmission line early warning device, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps of collecting current running state data and current environment data of a power transmission line to be detected, determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data, and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data. The method improves the comprehensiveness of monitoring data based on the collection of the current running state data and the current environment data of the power transmission line, simultaneously monitors the power transmission line by combining the current maximum current carrying capacity of the power transmission line objectively, further increases the accuracy of monitoring the power transmission line, and compared with the prior art, by utilizing manual cycle inspection, the real-time data collected by the scheme can judge whether the power transmission line breaks down more timely, improves the power transmission line fault early warning efficiency, and further improves the safety and reliability of power transmission line running.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a power transmission line early warning method, a device, a computer device, and a storage medium.
Background
In recent years, the operation safety and reliability of a power transmission line are increasingly focused by power system operation, management and scientific researchers, the current power transmission line usually spans hundreds of kilometers and is easily influenced by various environments to cause power supply faults, the traditional power transmission line detection mainly depends on periodic inspection of power transmission line maintenance staff, although the method can find hidden danger of the power transmission line, the limitation of a manual maintenance mode lacks detection on special environments and climates, the power transmission line state parameters are various, a plurality of faults are not easily found manually, monitoring data are incomplete, the power transmission line maintenance staff cannot master the state of the power transmission line in real time, the work efficiency of inspection of the power transmission line is low, and the operation safety and reliability of the power transmission line are further influenced.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a power transmission line early warning method, apparatus, computer device, and storage medium that can improve the power transmission line early warning efficiency.
In a first aspect, the present application provides a power transmission line early warning method. The method comprises the following steps:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In one embodiment, determining the current maximum current capacity of the power line based on the current operating state data and the current environmental data includes:
and determining the current maximum current carrying capacity of the power transmission line according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
In one embodiment, determining the current maximum current capacity of the power line according to the current power line temperature in the current operation state data and the current natural environment data in the current environment data comprises:
and determining the current maximum current carrying capacity from the candidate current carrying capacity of the power transmission line according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
In one embodiment, the method further comprises:
if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment;
and determining the corresponding candidate current-carrying capacity of the power transmission line under the changed natural environment data according to the temperature change data.
In one embodiment, the pre-warning monitoring process is performed on the power transmission line according to the current maximum current capacity, the current running state data and the current environment data, including:
monitoring whether the power transmission line is abnormal or not according to the current running state data, the running state threshold data and the current maximum current carrying capacity;
if yes, generating early warning information according to the current maximum current carrying capacity, the current running state data and the current environment data;
and sending the early warning information to a monitoring platform.
In one embodiment, sending the pre-warning information to the monitoring platform includes:
compressing the early warning information to obtain an early warning compressed packet;
and sending the early warning compressed packet to the monitoring platform through a wireless communication network.
In a second aspect, the application further provides a power transmission line early warning device. The device comprises:
the data acquisition module is used for acquiring current running state data and current environment data of the power transmission line to be detected;
the current carrying determining module is used for determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and the early warning monitoring module is used for carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
The power transmission line early warning method, the device, the computer equipment and the storage medium collect the current running state data and the current environment data of the power transmission line to be detected, determine the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data, and perform early warning and monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data. The current running state data and the current environment data of the power transmission line are collected, the comprehensiveness of the monitoring data is improved, the current maximum current carrying capacity of the power transmission line objectively exists is combined to monitor the power transmission line, the accuracy of monitoring the power transmission line is further improved, compared with the prior art, the power transmission line monitoring system utilizes manual cycle inspection, the real-time data collected by the scheme can judge whether the power transmission line breaks down more timely, the power transmission line fault early warning efficiency is improved, and the power transmission line running safety and reliability are further improved.
Drawings
Fig. 1 is an application environment diagram of a power line early warning method in one embodiment;
fig. 2 is a schematic flow chart of a power line early warning method in an embodiment;
FIG. 3 is a flow diagram of candidate current capacity determination in one embodiment;
FIG. 4 is a flow chart of a power line early warning monitoring process in one embodiment;
fig. 5 is a schematic flow chart of a power transmission line early warning method in another embodiment;
fig. 6 is a block diagram of a power line early warning device in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The power transmission line early warning method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in FIG. 1. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store current operating state data and current environmental data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a power line warning method.
According to the power transmission line early warning method, the current maximum current carrying capacity of the power transmission line is determined through the collected current running state data and the current environment data of the power transmission line to be detected, and then early warning monitoring processing is carried out on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In one embodiment, as shown in fig. 2, a power transmission line early warning method is provided, which is applied to a monitoring early warning scene of a field power transmission line, and the method is described by taking the application of the method to the server in fig. 1 as an example, and includes the following steps:
s201, collecting current running state data and current environment data of a power transmission line to be detected.
Wherein the operational status data may characterize the operational status of the power line itself, optionally the operational status data may comprise: transmission line temperature, transmission line current, transmission line insulator leakage conditions, transmission line sag and tension change conditions, and the like.
Wherein the environmental data may be environmental conditions surrounding the power line, optionally, the environmental data may include, but is not limited to: artificial environment data, natural environment data, and installation environment data. The artificial environment data may be illegal operation or theft under the power transmission line, the natural environment data may be regional weather (including but not limited to wind direction, wind speed, temperature, humidity, amount of rain and snow, air pressure, sunlight, etc.), forest fire around the power transmission line, etc., and the installation environment data may be tower inclination of the installed power transmission line, etc.
Optionally, the server controls various acquisition devices (e.g., sensor devices) mounted on the power line to acquire operational status data of the power line itself and environmental data surrounding the power line. Alternatively, in order to facilitate the subsequent use of the current operation state data and the current environment data, the operation state data and the environment data may be stored in a preset operation state database and environment database for recording.
S202, determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data.
The maximum current capacity may be the maximum current capacity that the transmission line can withstand.
Optionally, the current maximum current carrying capacity of the power transmission line is determined according to the current running state data and the current environment data in various manners, which is not limited in the application.
An alternative embodiment may be to determine the current maximum current capacity of the transmission line based on the current transmission line temperature in the current operating state data and the current natural environment data in the current environment data.
Wherein the transmission line temperature may be the temperature of the transmission line itself. The natural environment data may be weather around the transmission line, such as rain and snow.
Specifically, the server screens the current power transmission line temperature from the current running state data based on the collected current running state data and the current environment data, screens the current natural environment data from the current environment data, then calculates the maximum current capacity of the power transmission line corresponding to the current power transmission line temperature and the current natural environment data based on preset calculation logic (such as a calculation formula) by utilizing the current power transmission line temperature and the current natural environment data, and determines the calculated maximum current capacity record as the current maximum current capacity of the power transmission line.
Another alternative embodiment may be to determine the current maximum current capacity from the candidate current capacities of the transmission line based on the current transmission line temperature in the current operating state data and the current natural environment data in the current environment data.
Specifically, the server screens out the current power line temperature from the current running state data based on the collected current running state data and the current environment data, screens out the current natural environment data from the current environment data, searches out candidate current-carrying capacity corresponding to the current power line temperature and the current natural environment data from a preset candidate current-carrying capacity table based on the current power line temperature and the current natural environment data, and determines the candidate current-carrying capacity as the current maximum current-carrying capacity of the power line. The candidate current carrying capacity table records the mapping relation among the temperature of the transmission line, the natural environment data and the candidate current carrying capacity. It should be noted that, the mapping relationship may be determined and recorded when the natural environment changes. Specific determination means will be described in the following examples.
S203, carrying out early warning monitoring processing on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
Optionally, the server searches whether the current maximum current carrying capacity corresponding to the current environmental data is in a normal range or not from a preset candidate carrying capacity table based on the current environmental data, if so, the server proves that the power transmission line is not abnormal at the data acquisition point, otherwise, the power transmission line is abnormal; the server can also search out a corresponding running state threshold value under the current environment from a preset running state threshold value table based on the current data environment, compare the current running state data with the running state threshold value, judge whether the current running state data is in the range of the running state threshold value, if so, prove that the power transmission line is not abnormal at the data acquisition point, otherwise, are abnormal; the server can also compare the power transmission line current in the current running state data with the current maximum current carrying capacity based on the power transmission line current in the current running state data, if the power transmission line current is smaller than the current maximum current carrying capacity, the power transmission line is proved to have no abnormality at the data acquisition point, otherwise, the power transmission line is abnormal; if any item of data in the current maximum current carrying capacity and the current running state data has abnormal conditions under the current environment data, carrying out early warning and monitoring treatment on the power transmission line, namely feeding back abnormal data acquisition points and abnormal data, and starting an alarm system to alarm and remind a worker to timely overhaul the power transmission line corresponding to the abnormal data acquisition points.
According to the power transmission line early warning method, the current running state data and the current environment data of the power transmission line to be detected are collected, the current maximum current carrying capacity of the power transmission line is determined according to the current running state data and the current environment data, and early warning monitoring processing is carried out on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data. The current running state data and the current environment data of the power transmission line are collected, the comprehensiveness of the monitoring data is improved, the power transmission line is monitored by combining the current maximum current carrying capacity of the power transmission line, and then the accuracy of monitoring the power transmission line is improved.
FIG. 3 is a flow diagram of candidate current-carrying capacity determination in one embodiment. In this embodiment, the determination of the candidate current-carrying capacity is generally based on a change in temperature, and the change in temperature is often affected by the natural environment, so, to ensure the accuracy of the determination of the candidate current-carrying capacity, this embodiment provides an alternative way of determining the candidate current-carrying capacity, which includes the following steps:
and S301, if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment.
The temperature change data may be a change amount of the temperature of the power transmission line.
Optionally, if the server determines that the collected current natural environment data changes, the server controls the collection device to collect the temperature of the power transmission line continuously in a preset period after the current moment, and determines the change amount of the collected temperature of the power transmission line as the temperature change data of the power transmission line. For example, if the server determines that the collected current natural environment data changes from a sunny day to a rainy day at 8:00, the server controls the collection device to collect the temperature change amounts of all the power transmission lines within 8:00-8:30 (i.e. the preset period), and determines the collected change amounts as the temperature change data of the power transmission lines.
S302, according to the temperature change data, determining the corresponding candidate current-carrying capacity of the power transmission line under the changed natural environment data.
Optionally, the server calculates, based on the temperature change data, a candidate current-carrying capacity corresponding to the temperature change data, i.e. a candidate current-carrying capacity corresponding to the power transmission line under the changed natural environment data, according to a preset calculation logic (calculation formula). Optionally, a mapping relationship between the candidate current-carrying capacity and the changed natural environment data and the temperature of the transmission line can be established, and the mapping relationship is recorded in the candidate current-carrying capacity table.
And determining the candidate current-carrying capacity, if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment, and determining the corresponding candidate current-carrying capacity of the power transmission line under the changed natural environment data according to the temperature change data. According to the method, the candidate current-carrying capacity under various conditions is predetermined and recorded based on natural environment changes, so that the real-time maximum current-carrying capacity of the power transmission line can be conveniently and rapidly and accurately determined, and the early warning accuracy of the power transmission line is improved.
Fig. 4 is a schematic flow diagram of a power line early warning monitoring process in one embodiment. At present, the monitoring of the power transmission line is usually performed by manual inspection, and the maximum current-carrying capacity of the power transmission line is judged based on the running state of the power transmission line only, and the power transmission line is not combined with the maximum current-carrying capacity, so that the power transmission line monitoring accuracy is improved, and an optional mode of power transmission line early warning monitoring processing is provided in the embodiment, which comprises the following steps:
s401 starts
S402, monitoring whether the power transmission line is abnormal or not according to the current running state data, the running state threshold data and the current maximum current carrying capacity, if so, executing step S403, and if not, executing step S402.
The operation state threshold data may be threshold data of current operation state data corresponding to each of the current operation state data.
Optionally, the server may store the current running state data in different buffer areas, compare the current running state data with the running state threshold data preset in the buffer areas, and prove that the current running state data is abnormal if the current running state data exceeds the running state threshold data, otherwise, the current running state data is normal; comparing the power transmission line current in the current running state data with the current maximum current carrying capacity, if the power transmission line current is larger than the current maximum current carrying capacity, proving that the power transmission line current is abnormal, otherwise, the power transmission line current is normal; if any one of the present operation state data and the transmission line current is abnormal, step S403 is executed, otherwise step S402 is executed.
And S403, if yes, generating early warning information according to the current maximum current capacity, the current running state data and the current environment data.
The early warning information can represent information data of the power transmission line with fault problems.
Optionally, the early warning information may be generated in various ways, which is not limited in this application.
In an alternative embodiment, the server determines abnormal data from the current running state data based on the comparison result, encapsulates the abnormal data, the current maximum current carrying capacity and the current environment data, and uses the encapsulated data as the early warning information.
In another alternative implementation manner, the server determines abnormal data from the current running state data based on the comparison result, and searches corresponding early warning information from the early warning information table according to the abnormal data, the current maximum current carrying capacity and the current environment data, wherein the mapping relation between the abnormal data exceeding the running state threshold value data and the early warning information under the conditions of different environment data and different maximum current carrying capacity is recorded in the fault information table.
S404, the early warning information is sent to a monitoring platform.
The monitoring platform can be a third party information center and is used for receiving the early warning information and dispatching a worker to overhaul the faulty transmission line.
Optionally, the early warning information may be sent to the monitoring platform in various manners, which is not limited in this application. One optional implementation manner may be that the server is connected with the monitoring platform through network communication, and sends the generated early warning information to the monitoring platform. In another alternative implementation manner, the early warning information is compressed to obtain an early warning compressed packet, and the early warning compressed packet is sent to the monitoring platform through the wireless communication network. Specifically, the server is in communication connection with the monitoring platform through the wireless communication network, compresses the generated early warning information to obtain an early warning compressed packet, and then sends the early warning compressed packet to the monitoring platform so that workers can schedule vehicles and professionals to overhaul and repair the target transmission line section according to the checked situation of the incident scene. The wireless communication network may be a general packet radio service (General packet radio service, GPRS), which may be a communication network for sending pre-warning information, in particular, a wireless packet switching technology based on the GSM system, providing an end-to-end, wide area wireless IP connection.
According to the power transmission line early warning monitoring processing method, whether the power transmission line is abnormal is monitored according to the current running state data, the running state threshold data and the current maximum current carrying capacity, if yes, early warning information is generated according to the current maximum current carrying capacity, the current running state data and the current environment data, and the early warning information is sent to a monitoring platform. According to the method, based on the current running state data, the running state threshold value data and the current maximum current carrying capacity, whether the power transmission line is abnormal or not is monitored from multiple dimensions, accuracy and rationality of monitoring the power transmission line are improved, early warning information is generated in real time and sent to a monitoring platform, instantaneity of monitoring the power transmission line is improved, and working efficiency of monitoring and early warning the power transmission line is further improved.
In one embodiment, this embodiment provides an alternative way of early warning of the power transmission line, and the method is applied to a server for example and is described. As shown in fig. 5, the method comprises the steps of:
s501 collects current operation state data and current environment data of the power line to be detected.
S502, determining the current maximum current carrying capacity from the candidate current carrying capacities of the power transmission lines according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
S503, according to the current operation state data, the operation state threshold value data and the current maximum current carrying capacity, whether the power transmission line is abnormal or not is monitored, if yes, the step S504 is executed, and if not, the step S501 is executed.
And S504, if yes, generating early warning information according to the current maximum current capacity, the current running state data and the current environment data.
S505, compressing the early warning information to obtain an early warning compressed packet.
S506, the early warning compressed packet is sent to the monitoring platform through the wireless communication network.
S507, if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment.
And S508, determining the corresponding candidate current-carrying capacity of the power transmission line under the changed natural environment data according to the temperature change data.
It should be noted that, in this embodiment, steps S501 to S506 are processes of determining the maximum current-carrying capacity of the power transmission line and detecting the power transmission line based on the collected real-time data, and steps S507 to S508 are processes of calculating and determining the candidate current-carrying capacity. Alternatively, steps S507 to S508 may be performed before steps S501 to S506, or may be performed continuously after steps S501 to S506, or may be performed simultaneously with steps S501 to S506, which is not limited in this application.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a power transmission line early warning device for realizing the related power transmission line early warning method. The implementation scheme of the solution to the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiments of the power line early warning device or devices provided below may refer to the limitation of the power line early warning method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a power line pre-warning device 600, including: a data acquisition module 601, a current carrying determination module 602 and an early warning monitoring module 603, wherein:
the data acquisition module 601 is configured to acquire current running state data and current environmental data of a power transmission line to be detected;
the current carrying determining module 602 is configured to determine a current maximum carrying capacity of the power transmission line according to the current running state data and the current environment data;
and the early warning and monitoring module 603 is used for carrying out early warning and monitoring processing on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In one embodiment, the current carrying capacity determining module 602 in fig. 6 is configured to determine a current maximum current carrying capacity of the power line according to a current power line temperature in the current operating state data and a current natural environment data in the current environment data.
In one embodiment, the current carrying capacity determining module 602 in fig. 6 is further configured to determine the current maximum current carrying capacity from the candidate current carrying capacities of the power transmission line according to the current power transmission line temperature in the current operation state data and the current natural environment data in the current environment data.
In one embodiment, the power line pre-warning device 600 in fig. 6 includes:
the temperature acquisition module is used for acquiring temperature change data of the power transmission line in a preset period after the current moment if the change of the natural environment is monitored;
and the candidate determining module is used for determining the candidate current-carrying capacity of the power transmission line corresponding to the changed natural environment data according to the temperature change data.
In one embodiment, the early warning monitoring module 603 in fig. 6 includes:
the abnormality monitoring unit is used for monitoring whether the power transmission line is abnormal or not according to the current running state data, the running state threshold value data and the current maximum current carrying capacity;
the early warning generation unit is used for generating early warning information according to the current maximum current capacity, the current running state data and the current environment data if yes;
and the early warning sending unit is used for sending the early warning information to the monitoring platform.
In one embodiment, the early warning transmitting unit in the above embodiment includes:
the information compression subunit is used for compressing the early warning information to obtain an early warning compressed packet;
and the compression transmitting subunit is used for transmitting the early warning compression packet to the monitoring platform through the wireless communication network.
All or part of the modules in the power line early warning device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by a processor implements a power line warning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In one embodiment, the processor when executing the computer program further performs the steps of:
and determining the current maximum current carrying capacity of the power transmission line according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
In one embodiment, the processor when executing the computer program further performs the steps of:
and determining the current maximum current carrying capacity from the candidate current carrying capacity of the power transmission line according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment;
and determining the corresponding candidate current-carrying capacity of the power transmission line under the changed natural environment data according to the temperature change data.
In one embodiment, the processor when executing the computer program further performs the steps of:
monitoring whether the power transmission line is abnormal or not according to the current running state data, the running state threshold data and the current maximum current carrying capacity;
if yes, generating early warning information according to the current maximum current carrying capacity, the current running state data and the current environment data;
and sending the early warning information to a monitoring platform.
In one embodiment, the processor when executing the computer program further performs the steps of:
compressing the early warning information to obtain an early warning compressed packet;
and sending the early warning compressed packet to the monitoring platform through a wireless communication network.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A power transmission line early warning method, the method comprising:
collecting current running state data and current environment data of a power transmission line to be detected;
determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and carrying out early warning monitoring treatment on the power transmission line according to the current maximum current carrying capacity, the current running state data and the current environment data.
2. The method of claim 1, wherein said determining a current maximum current capacity of said power line based on said current operating state data and said current environmental data comprises:
and determining the current maximum current carrying capacity of the power transmission line according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
3. The method of claim 2, wherein said determining a current maximum current capacity of the power line based on a current power line temperature in the current operating state data and a current natural environment data in current environment data comprises:
and determining the current maximum current carrying capacity from the candidate current carrying capacities of the power transmission lines according to the current power transmission line temperature in the current running state data and the current natural environment data in the current environment data.
4. A method according to claim 3, characterized in that the method further comprises:
if the change of the natural environment is monitored, acquiring temperature change data of the power transmission line in a preset period after the current moment;
and determining the candidate current-carrying capacity of the power transmission line corresponding to the changed natural environment data according to the temperature change data.
5. The method according to any one of claims 1-4, wherein said performing early warning and monitoring on said power line according to said current maximum current capacity, said current operating state data and said current environmental data comprises:
monitoring whether the power transmission line is abnormal or not according to the current running state data, the running state threshold data and the current maximum current carrying capacity;
if yes, generating early warning information according to the current maximum current capacity, the current running state data and the current environment data;
and sending the early warning information to a monitoring platform.
6. The method of claim 5, wherein the sending the pre-warning information to a monitoring platform comprises:
compressing the early warning information to obtain an early warning compressed packet;
and sending the early warning compressed packet to a monitoring platform through a wireless communication network.
7. A power line warning device, the device comprising:
the data acquisition module is used for acquiring current running state data and current environment data of the power transmission line to be detected;
the current carrying determining module is used for determining the current maximum current carrying capacity of the power transmission line according to the current running state data and the current environment data;
and the early warning and monitoring module is used for carrying out early warning and monitoring treatment on the power transmission line according to the current maximum current capacity, the current running state data and the current environment data.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310023563.1A CN116032012A (en) | 2023-01-09 | 2023-01-09 | Power transmission line early warning method, device, computer equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310023563.1A CN116032012A (en) | 2023-01-09 | 2023-01-09 | Power transmission line early warning method, device, computer equipment and storage medium |
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| CN116032012A true CN116032012A (en) | 2023-04-28 |
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| CN (1) | CN116032012A (en) |
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