CN114295157A - Mountain fire hidden danger early warning method and device, storage medium and electronic equipment - Google Patents
Mountain fire hidden danger early warning method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention discloses a mountain fire hidden danger early warning method and device, a storage medium and electronic equipment. Wherein, the method comprises the following steps: the signal characteristic information of the power transmission line is acquired by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger. The method solves the technical problems that typical signal characteristic information cannot be collected and too much useless signal characteristic information is collected in the early warning method for the hidden danger of the forest fire in the prior art.
Description
Technical Field
The invention relates to the technical field of disaster early warning, in particular to a mountain fire hidden danger early warning method, a mountain fire hidden danger early warning device, a storage medium and electronic equipment.
Background
At present, mountain fire monitoring and power grid safety at home and abroad mainly adopt various monitoring technologies such as satellites, temperature, visible light, infrared, radar and the like, but the methods are monitoring means after mountain fire occurs, and no advance judgment capability exists when hidden danger or faults of a power grid occur.
Micro-current traveling wave positioning is an efficient method for detecting transmission line faults, however, in the prior art, a trigger strategy is timing trigger or over-threshold trigger, so that in application of mountain fire monitoring, the situation that typical characteristic values are not collected or too much useless information is collected often occurs.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a mountain fire hidden danger early warning method, a mountain fire hidden danger early warning device, a storage medium and electronic equipment, and at least solves the technical problems that typical signal characteristic information cannot be collected by the mountain fire hidden danger early warning method in the prior art and too much useless signal characteristic information is collected.
According to an aspect of an embodiment of the present invention, a mountain fire hidden danger early warning method is provided, which is applied to a mountain fire hidden danger detection system, and the mountain fire hidden danger detection system includes: the method comprises the following steps that: the signal characteristic information of the power transmission line is acquired by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
Optionally, the identifying the fault type of the power transmission line based on the signal feature information includes: and determining the occurrence probability value of the hidden danger of the forest fire according to the fault type of the power transmission line.
Optionally, after the signal characteristic information of the power transmission line is acquired by using the pre-discharge micro-current monitoring sensor, the method further includes: and counting signal indexes in the signal characteristics by adopting the embedded processor, wherein the embedded processor is internally arranged in the pre-discharge micro-current monitoring sensor, and the signal indexes comprise at least one of the following indexes: the rise time, duration, pulse width of the trigger signal; performing feature matching processing on the signal indexes and the fault types to obtain matching results; and setting an effective trigger detection algorithm based on the matching result.
Optionally, the method further includes: presetting a self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times; and constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
Optionally, the method further includes: and the pre-discharge micro-current monitoring sensor continues to acquire the signal characteristics of the power transmission line by utilizing the acquisition control mode.
According to another aspect of the embodiments of the present invention, there is provided a mountain fire hidden danger early warning device, which is applied to a mountain fire hidden danger detection system, where the mountain fire hidden danger detection system includes: transmission line, little electric current monitoring sensor of discharging in advance, wherein, on the above-mentioned transmission line of little electric current monitoring sensor installation of above-mentioned discharging in advance, the device includes: an obtaining module, configured to obtain signal characteristic information of the power transmission line by using the pre-discharge micro-current monitoring sensor, where the signal characteristic information includes at least one of the following information: traveling wave current, current waveform and current duration; an identification module, configured to identify a fault type of the power transmission line based on the signal feature information, where the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and the output module is used for generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
Optionally, the apparatus further comprises: a statistical unit, configured to use the embedded processor to perform statistics on signal indicators in the signal characteristics, where the embedded processor is embedded in the pre-discharge micro-current monitoring sensor, and the signal indicators include at least one of the following: the rise time, duration, pulse width of the trigger signal; the matching unit is used for performing characteristic matching processing on the signal indexes and the fault types to obtain matching results; and the first setting unit is used for setting an effective trigger detection algorithm based on the matching result.
Optionally, the apparatus further comprises: the second setting unit is used for presetting the self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times; and the construction unit is used for constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
In an embodiment of the present invention, signal characteristic information of the power transmission line is obtained by using the pre-discharge micro-current monitoring sensor, where the signal characteristic information includes at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the mountain fire hidden danger according to the fault type, wherein the output moment of the early warning information is earlier than the actual occurrence moment of the mountain fire hidden danger, and the purpose of acquiring typical signal characteristics through a pre-discharge micro-current monitoring sensor is achieved, so that the technical effects of timely discovering the mountain fire hidden danger and sending alarm information are achieved, and the technical problems that typical signal characteristic information cannot be acquired and too much useless signal characteristic information cannot be acquired by a mountain fire hidden danger early warning method in the prior art are solved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a mountain fire hazard early warning method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating an alternative efficient trigger detection algorithm generation flow according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative sensor acquisition control mode construction process according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a mountain fire hazard early warning device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for providing a warning of a fire hazard, where the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer executable instructions, and where a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that illustrated herein.
Fig. 1 is a flowchart of a mountain fire hazard early warning method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step S102, acquiring signal characteristic information of the power transmission line by using the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration;
step S104, identifying the fault type of the power transmission line based on the signal characteristic information, wherein the fault type comprises: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault;
and step S105, generating and outputting early warning information related to the hidden danger of the mountain fire according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the hidden danger of the mountain fire.
In the embodiment of the invention, the pre-discharge micro-current monitoring sensor in the mountain fire hidden danger detection system is adopted to obtain the signal characteristic information of the power transmission line, the fault type of the power transmission line is identified based on the signal characteristic information, and finally the early warning information related to the mountain fire hidden danger is generated and output according to the fault type.
It should be noted that the signal characteristic information includes at least one of the following: traveling wave current, current waveform and current duration; the above failure types include: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; the output time of the early warning information is earlier than the actual occurrence time of the hidden danger of the mountain fire.
As an alternative embodiment, the changing of the pre-discharge current of the power transmission line due to the grid fault includes: the short-time power frequency fault ground-in current induces the forest fire, the tree line discharge induces the forest fire, the arc suppression coil system one-way ground fault ground-in current induces the forest fire and the like, the monitoring can be carried out through the pre-discharge micro-current monitoring sensor, and the early warning information with certainty can be given in advance at the early stage of the forest fire caused by the power grid fault. In the earliest stage of the power grid fault but no fire point, the pre-discharge micro-current monitoring sensor is used for acquiring the signal characteristic information of the traveling wave current at the moment, and the probability of the occurrence of the mountain fire is determined according to the signal characteristic information. In the signal characteristic information acquisition process, the data acquisition of the pre-discharge micro-current monitoring sensor is realized by adopting a self-adaptive trigger strategy, and a combined trigger source for triggering the data acquisition can adopt a fault channel, a hidden danger channel or a power frequency current acquisition channel and the like of the sensor; the effective trigger detection algorithm is obtained by rapidly counting indexes of the trigger signal, such as rise time, duration, pulse width and the like, by using the embedded processor and matching the indexes with a standard trigger waveform.
It should be noted that, at the stage when a power grid fault occurs but no fire occurs, the physical parameters of the line themselves may change, which is most directly reflected in that the ground current of the power line itself may obviously change along with the occurrence of phenomena such as short circuit to ground, partial discharge, and the like. A traveling wave current is a state of transmission of a plane wave on a transmission line, and in the transmission line, the traveling wave current is propagated in the form of an electromagnetic wave. When a high-voltage line has a fault, high-frequency transient traveling wave current generated by the fault can be transmitted to two ends of the line at a constant wave speed, when the traveling wave current is transmitted to a point with discontinuous wave impedance, the traveling wave current can be refracted and reflected, and the law of the refraction and reflection of the traveling wave current is only related to the wave impedance.
As an optional embodiment, the power transmission line is divided into a plurality of sections by arranging a plurality of monitoring points on the power transmission line, fault data and signals of each section are respectively monitored and recorded, so that the inherent parameters of the power transmission line, such as length and sag, which affect measurement errors, are subjected to discretization monitoring, and the influence of factors such as traveling wave velocity change and propagation attenuation distortion on the fault positioning precision is effectively inhibited, so that the fault positioning precision of the power transmission line is greatly improved. Meanwhile, the fault identification of various power lines can be realized by analyzing the electromagnetic transient characteristics of fault traveling waves.
By the embodiment of the invention, the false triggering condition of the quick-change short pulse caused by factors such as electromagnetic interference and power grid fluctuation can be effectively eliminated, all typical signal characteristic information can be acquired, and the problem that the triggering strategy in the prior art is timing triggering (acquiring once every 5 minutes) or super-threshold triggering (directly acquiring after exceeding a fixed threshold), so that the condition that the typical characteristic value is not acquired or too much useless information is acquired frequently occurs in mountain fire monitoring application is solved.
In an optional embodiment, the identifying the fault type of the power transmission line based on the signal characteristic information includes:
and step S202, determining the occurrence probability value of the hidden danger of the forest fire according to the fault type of the power transmission line.
In the embodiment of the present invention, according to the cause analysis of a power grid fault that may cause a mountain fire disaster, a typical power line abnormal fault includes: the tree line discharges, the thunder and lightning strikes, foreign matter adheres to, one-way earth fault of arc suppression coil system and short-term power frequency trouble etc. physical parameters such as little current on the power line can take place some signal characteristic changes when these troubles take place, and this process can effectively be analyzed in effectual trigger little current sensor collection process. And identifying the fault type of the power transmission line based on the acquired signal characteristic information, and judging the probability of mountain fire caused by circuit fault according to the signal characteristic information.
It should be noted that, the short-time power frequency fault ground-in current induces the mountain fire, the tree line discharge induces the mountain fire, and the arc suppression coil system one-way ground fault ground-in current induces the mountain fire are three common faults which can cause the mountain fire. Wherein, the short-time power frequency fault can generate a continuous current with dozens of amperes for a long time on the power line, the tree line discharge is generally a short-time impulse current, and the arc suppression coil system one-way grounding fault can generate a short-time heavy current with dozens of kiloamperes and duration less than 500ms on the power line. The three faults which can cause the mountain fire have obvious characteristic value magnitude and duration for the micro-current pre-discharge micro-current monitoring equipment, so that the probability of the mountain fire occurrence can be matched and analyzed in real time as long as the corresponding current waveform of the micro-current pre-discharge monitoring equipment is acquired by the micro-current pre-discharge monitoring sensor, and early warning is realized.
In an optional embodiment, after the signal characteristic information of the power transmission line is acquired by using the pre-discharge micro-current monitoring sensor, the method further includes:
step S302, the embedded processor is adopted to count signal indexes in the signal characteristics, wherein the embedded processor is arranged in the pre-discharge micro-current monitoring sensor, and the signal indexes comprise at least one of the following: the rise time, duration, pulse width of the trigger signal;
step S304, performing characteristic matching processing on the signal indexes and the fault types to obtain matching results;
and step S306, setting an effective trigger detection algorithm based on the matching result.
In the embodiment of the present invention, as shown in fig. 2, the effective trigger detection algorithm generates a schematic flow chart, and the embedded processor is adopted to count the information of the rise time, the duration time, the pulse width, and the like of the trigger signal in the signal characteristics; and performing characteristic matching processing on the signal indexes and the fault types, and setting an effective trigger detection algorithm according to the matching result.
As an optional embodiment, the effective trigger detection algorithm utilizes an embedded processor to rapidly count the indexes of the trigger signal, such as rise time, duration, pulse width and the like, keeps a section of pre-sampling stage, performs characteristic matching with the typical characteristic values of the short-time power frequency fault, the tree line discharge fault and the arc suppression coil system one-way grounding fault, when the matching condition is met, continues to sample for a section of time on the basis of pre-sampling, directly discards pre-sampled data when the matching condition is not matched, and enters a next waiting trigger state.
It should be noted that the pre-discharge micro-current monitoring sensor performs micro-current traveling wave monitoring, and a self-integration rogowski coil sensor with good high-frequency response is adopted to measure the high-frequency discharge current, and the sensor has the advantages of good linearity, wide measurement frequency band, strong anti-interference capability and the like. However, in the prior art, a data acquisition triggering strategy of the micro-current traveling wave monitoring equipment assembled on the power line is simple, and a working strategy of timing sampling (once every 5 minutes) or super-threshold triggering sampling (setting a fixed current value, and exceeding or triggering.
In an optional embodiment, the method further includes:
step S402, presetting a self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times;
and S404, constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
In the embodiment of the present invention, as shown in the schematic diagram of the sensor acquisition control mode construction process shown in fig. 3, the mountain fire hidden danger detection system presets the adaptive trigger strategy of the pre-discharge micro-current monitoring sensor, and constructs the acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the adaptive trigger strategy.
It should be noted that the adaptive triggering strategy is implemented by pre-configuring parameter information such as a triggering channel, a triggering mode, triggering times and the like, wherein the triggering channel can select a mode of freely combining a single micro-current fault monitoring channel, a single micro-current hidden danger monitoring channel, a single power frequency current monitoring channel and a plurality of channels; the triggering mode can select rising edge, falling edge and level triggering, manual triggering or timing triggering of the selectable signal channel; the number of triggers may be set to a single, multiple, or infinite number of times.
As an optional embodiment, based on the effective trigger detection algorithm and the adaptive trigger policy, an embedded processor in a data acquisition and power transmission circuit is used to set the effective trigger detection algorithm according to current monitoring content (i.e., the signal characteristic information), so as to implement an acquisition control mode that integrates the adaptive trigger policy.
In an optional embodiment, the method further includes:
step S502, the pre-discharge micro-current monitoring sensor continues to acquire the signal characteristics of the power transmission line by utilizing the acquisition control mode.
As an optional embodiment, the extraction of the micro-current traveling wave characteristics in the pre-discharge stage before the short-circuit fault adopts two methods of time domain characteristic direct extraction and time-frequency space domain combined characteristic extraction; the tree line discharge, foreign matter attachment and arc suppression coil system one-way grounding fault and short-time power frequency fault in the non-lightning fault are accumulated by the micro-current monitoring device to obtain fault fingerprints of micro-current sensing, current traveling wave differences under different fault conditions are analyzed, characteristics of different fault types are intelligently self-learned, intelligent identification of mountain fire typical faults caused by power transmission line faults such as tree barriers and short circuits is achieved, and alarm information can be sent out earlier than the actual mountain fire occurrence time. Meanwhile, with the continuous increase of the application and fault characteristics of the equipment, the characteristic identification and triggering matching algorithm of the equipment can be continuously and dynamically adjusted and upgraded in combination with the increase of the data volume, and the accuracy of the effective triggering detection algorithm and the self-adaptive triggering strategy is gradually improved.
Through the embodiment of the invention, the pre-discharge micro-current monitoring sensor can provide an operation control support and a scientific basis for early monitoring and forecasting of the mountain fire dangerous case, and can provide powerful guarantee for leaders at all levels to make decision and command and daily management. Meanwhile, the device is internally provided with a self-learning functional module of an effective trigger detection algorithm and a self-adaptive trigger strategy, so that the identification accuracy can be continuously improved in practical application.
Example 2
According to an embodiment of the present invention, an embodiment of an apparatus for implementing the warning method for hidden danger of forest fire is further provided, which is implemented or realized by using an evaluation system of a cloud data platform, and fig. 4 is a schematic structural diagram of the warning apparatus for hidden danger of forest fire according to the embodiment of the present invention, as shown in fig. 4, the apparatus includes: an obtaining module 40, an identifying module 42, and an outputting module 44, wherein:
an obtaining module 40, configured to obtain signal characteristic information of the power transmission line by using the pre-discharge micro-current monitoring sensor, where the signal characteristic information includes at least one of the following information: traveling wave current, current waveform and current duration;
an identifying module 42, configured to identify a fault type of the power transmission line based on the signal feature information, where the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault;
and an output module 44, configured to generate and output early warning information related to the hidden danger of mountain fire according to the fault type, where an output time of the early warning information is earlier than an actual occurrence time of the hidden danger of mountain fire.
Optionally, the above apparatus further comprises: a statistical unit, configured to use the embedded processor to perform statistics on signal indicators in the signal characteristics, where the embedded processor is embedded in the pre-discharge micro-current monitoring sensor, and the signal indicators include at least one of the following: the rise time, duration, pulse width of the trigger signal; the matching unit is used for performing characteristic matching processing on the signal indexes and the fault types to obtain matching results; and the first setting unit is used for setting an effective trigger detection algorithm based on the matching result.
Optionally, the apparatus further comprises: the second setting unit is used for presetting the self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times; and the construction unit is used for constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
It should be noted here that the acquiring module 40, the identifying module 42, and the second outputting module 44 correspond to steps S102 to S106 in embodiment 1, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1.
It should be noted that, reference may be made to the relevant description in embodiment 1 for a preferred implementation of this embodiment, and details are not described here again.
Embodiments of a computer-readable storage medium are also provided according to embodiments of the present invention. Optionally, in this embodiment, the computer-readable storage medium may be configured to store the program code executed by the mountain fire hazard warning method provided in embodiment 1.
Optionally, in this embodiment, the computer-readable storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: the signal characteristic information of the power transmission line is acquired by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
Optionally, the computer-readable storage medium is configured to store program codes for performing the following steps: and determining the occurrence probability value of the hidden danger of the forest fire according to the fault type of the power transmission line.
Optionally, the computer-readable storage medium is configured to store program codes for performing the following steps: and counting signal indexes in the signal characteristics by adopting the embedded processor, wherein the embedded processor is internally arranged in the pre-discharge micro-current monitoring sensor, and the signal indexes comprise at least one of the following indexes: the rise time, duration, pulse width of the trigger signal; performing feature matching processing on the signal indexes and the fault types to obtain matching results; and setting an effective trigger detection algorithm based on the matching result.
Optionally, the computer-readable storage medium is configured to store program codes for performing the following steps: presetting a self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times; and constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
Optionally, the computer-readable storage medium is configured to store program codes for performing the following steps: and the pre-discharge micro-current monitoring sensor continues to acquire the signal characteristics of the power transmission line by utilizing the acquisition control mode.
Embodiments of a processor are also provided according to embodiments of the present invention. Optionally, in this embodiment, the computer-readable storage medium may be configured to store the program code executed by the mountain fire hazard warning method provided in embodiment 1.
The embodiment of the application provides an electronic device, the device comprises a processor, a memory and a program which is stored on the memory and can be run on the processor, and the processor executes the program and realizes the following steps: the signal characteristic information of the power transmission line is acquired by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: the signal characteristic information of the power transmission line is acquired by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration; identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type includes: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault; and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. The mountain fire hidden danger early warning method is applied to a mountain fire hidden danger detection system, and the mountain fire hidden danger detection system comprises the following components: the method comprises the following steps that:
acquiring signal characteristic information of the power transmission line by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration;
identifying a fault type of the power transmission line based on the signal characteristic information, wherein the fault type comprises: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault;
and generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
2. The method of claim 1, wherein identifying the fault type of the power transmission line based on the signal characteristic information comprises:
and determining the occurrence probability value of the hidden danger of the forest fire according to the fault type of the power transmission line.
3. The method of claim 1, wherein after said obtaining signal characteristic information of the power transmission line using the pre-discharge micro-current monitoring sensor, the method further comprises:
and counting signal indexes in the signal characteristics by adopting the embedded processor, wherein the embedded processor is arranged in the pre-discharge micro-current monitoring sensor, and the signal indexes comprise at least one of the following indexes: the rise time, duration, pulse width of the trigger signal;
performing characteristic matching processing on the signal index and the fault type to obtain a matching result;
and setting an effective trigger detection algorithm based on the matching result.
4. The method of claim 3, further comprising:
presetting a self-adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the self-adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times;
and constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
5. The method of claim 4, further comprising:
and the pre-discharge micro-current monitoring sensor continues to acquire the signal characteristics of the power transmission line by utilizing the acquisition control mode.
6. The utility model provides a mountain fire hidden danger early warning device which characterized in that is applied to mountain fire hidden danger detecting system, mountain fire hidden danger detecting system includes: transmission line, little electric current monitoring sensor of preliminary discharge, wherein, on little electric current monitoring sensor of preliminary discharge installed the transmission line, the device includes:
the acquisition module is used for acquiring the signal characteristic information of the power transmission line by adopting the pre-discharge micro-current monitoring sensor, wherein the signal characteristic information comprises at least one of the following information: traveling wave current, current waveform and current duration;
the identification module is used for identifying the fault type of the power transmission line based on the signal characteristic information, wherein the fault type comprises: short-time power frequency fault, tree line discharge fault and arc suppression coil system one-way grounding fault;
and the output module is used for generating and outputting early warning information related to the forest fire hidden danger according to the fault type, wherein the output time of the early warning information is earlier than the actual occurrence time of the forest fire hidden danger.
7. The apparatus of claim 6, further comprising:
the statistical unit is used for adopting the embedded processor to count the signal indexes in the signal characteristics, wherein the embedded processor is arranged in the pre-discharge micro-current monitoring sensor, and the signal indexes comprise at least one of the following: the rise time, duration, pulse width of the trigger signal;
the matching unit is used for performing characteristic matching processing on the signal indexes and the fault types to obtain matching results;
and the first setting unit is used for setting an effective trigger detection algorithm based on the matching result.
8. The apparatus of claim 6, further comprising:
the second setting unit is used for presetting an adaptive triggering strategy of the pre-discharge micro-current monitoring sensor, wherein the adaptive triggering strategy completes strategy configuration by presetting a triggering channel, a triggering mode and triggering times;
and the construction unit is used for constructing an acquisition control mode of the pre-discharge micro-current monitoring sensor based on the effective trigger detection algorithm and the self-adaptive trigger strategy.
9. A computer-readable storage medium, comprising a stored program, wherein when the program runs, the program controls a device where the computer-readable storage medium is located to execute the method for warning of hidden forest fire hazard according to any one of claims 1 to 5.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the mountain fire hazard warning method according to any one of claims 1 to 5.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5621298A (en) * | 1994-10-06 | 1997-04-15 | Motor Appliance Corporation | Power supply with automatic charge measuring capability |
| WO2011028818A2 (en) * | 2009-09-01 | 2011-03-10 | Trustees Of Boston University | High throughput multichannel reader and uses thereof |
| CN105676070A (en) * | 2016-02-25 | 2016-06-15 | 国网山东省电力公司章丘市供电公司 | Fault monitoring system for power transmission line |
| CN105891681A (en) * | 2016-06-22 | 2016-08-24 | 国网上海市电力公司 | Method for positioning cable line fault point by compositely triggering multiple thresholds |
| CN105988063A (en) * | 2015-03-16 | 2016-10-05 | 武汉三相电力科技有限公司 | Power transmission line fault hidden risk integrated on-line monitoring method and device |
| CN107702921A (en) * | 2017-09-04 | 2018-02-16 | 西安交通大学 | The underdamping stable state matching accidental resonance Weak characteristic Enhancement Method of parameter induction |
| CN107807309A (en) * | 2017-10-27 | 2018-03-16 | 广东电网有限责任公司中山供电局 | A kind of transmission line malfunction method for early warning and system based on big data |
| CN109100627A (en) * | 2018-10-31 | 2018-12-28 | 红相股份有限公司 | A kind of power equipment partial discharges fault diagnostic method based on end-to-end mode |
| CN109541411A (en) * | 2018-12-05 | 2019-03-29 | 国网江西省电力有限公司电力科学研究院 | Overhead transmission line hidden danger electric discharge monitoring and warning system |
| CN111311778A (en) * | 2020-02-28 | 2020-06-19 | 西安众恒科技有限公司 | Application system and method based on unmanned aerial vehicle honeycomb technology |
| CN111399782A (en) * | 2020-04-21 | 2020-07-10 | 中国人民解放军军事科学院国防工程研究院工程防护研究所 | High-reliability triggering and data acquisition and storage method for dynamic test equipment |
| CN112464813A (en) * | 2020-11-26 | 2021-03-09 | 国网北京市电力公司 | Method and device for monitoring mountain fire |
| CN112526240A (en) * | 2020-11-30 | 2021-03-19 | 广东电网有限责任公司 | Non-contact broadband overvoltage online monitoring device |
| CN112763860A (en) * | 2020-12-11 | 2021-05-07 | 贵州电网有限责任公司 | Power transmission line fault and abnormal discharge monitoring system and method |
| CN113176469A (en) * | 2021-03-12 | 2021-07-27 | 国网内蒙古东部电力有限公司电力科学研究院 | Power transmission grid frame recovery method based on multi-agent and thermal power generating unit cluster simulation |
-
2021
- 2021-11-30 CN CN202111450946.4A patent/CN114295157A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5621298A (en) * | 1994-10-06 | 1997-04-15 | Motor Appliance Corporation | Power supply with automatic charge measuring capability |
| WO2011028818A2 (en) * | 2009-09-01 | 2011-03-10 | Trustees Of Boston University | High throughput multichannel reader and uses thereof |
| CN105988063A (en) * | 2015-03-16 | 2016-10-05 | 武汉三相电力科技有限公司 | Power transmission line fault hidden risk integrated on-line monitoring method and device |
| CN105676070A (en) * | 2016-02-25 | 2016-06-15 | 国网山东省电力公司章丘市供电公司 | Fault monitoring system for power transmission line |
| CN105891681A (en) * | 2016-06-22 | 2016-08-24 | 国网上海市电力公司 | Method for positioning cable line fault point by compositely triggering multiple thresholds |
| CN107702921A (en) * | 2017-09-04 | 2018-02-16 | 西安交通大学 | The underdamping stable state matching accidental resonance Weak characteristic Enhancement Method of parameter induction |
| CN107807309A (en) * | 2017-10-27 | 2018-03-16 | 广东电网有限责任公司中山供电局 | A kind of transmission line malfunction method for early warning and system based on big data |
| CN109100627A (en) * | 2018-10-31 | 2018-12-28 | 红相股份有限公司 | A kind of power equipment partial discharges fault diagnostic method based on end-to-end mode |
| CN109541411A (en) * | 2018-12-05 | 2019-03-29 | 国网江西省电力有限公司电力科学研究院 | Overhead transmission line hidden danger electric discharge monitoring and warning system |
| CN111311778A (en) * | 2020-02-28 | 2020-06-19 | 西安众恒科技有限公司 | Application system and method based on unmanned aerial vehicle honeycomb technology |
| CN111399782A (en) * | 2020-04-21 | 2020-07-10 | 中国人民解放军军事科学院国防工程研究院工程防护研究所 | High-reliability triggering and data acquisition and storage method for dynamic test equipment |
| CN112464813A (en) * | 2020-11-26 | 2021-03-09 | 国网北京市电力公司 | Method and device for monitoring mountain fire |
| CN112526240A (en) * | 2020-11-30 | 2021-03-19 | 广东电网有限责任公司 | Non-contact broadband overvoltage online monitoring device |
| CN112763860A (en) * | 2020-12-11 | 2021-05-07 | 贵州电网有限责任公司 | Power transmission line fault and abnormal discharge monitoring system and method |
| CN113176469A (en) * | 2021-03-12 | 2021-07-27 | 国网内蒙古东部电力有限公司电力科学研究院 | Power transmission grid frame recovery method based on multi-agent and thermal power generating unit cluster simulation |
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