CN111509842A - Cable anti-damage early warning device with cutting machine characteristic quantity recognition function - Google Patents
Cable anti-damage early warning device with cutting machine characteristic quantity recognition function Download PDFInfo
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- 230000007547 defect Effects 0.000 description 2
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The invention discloses a cable anti-damage early warning device with cutting machine characteristic quantity recognition, which is characterized by comprising the following components: pickup module, voiceprint recognition module, database modeling module, early warning module and wireless communication module, pickup module is used for picking up the cutting machine voiceprint and transmits for voiceprint recognition module, voiceprint recognition module handle the cutting machine voiceprint of collecting and with voiceprint model among the database modeling module discerns the matching, early warning module with voiceprint recognition module's output is connected, is used for generating early warning information, wireless communication module with early warning module connects, is used for sending wireless early warning signal. The invention utilizes the voiceprint recognition technology to recognize the characteristic quantity of the cutting machine, can accurately judge whether the cutting machine works near the underground cable, has more accurate judgment on the type of the cutting tool of the cable external force damage and higher intelligent degree, and has ideal actual external force damage prevention effect.
Description
Technical Field
The invention relates to the technical field of power equipment monitoring and alarming, in particular to a cable anti-damage early warning device with cutting machine characteristic quantity recognition.
Background
With the rapid development of power grid construction, the area where the power transmission line passes is enlarged, and the proportion of underground cable power supply in a power distribution system is larger and larger. Although the cable line has the advantages of less influence by natural environment, less occupied area, high power supply reliability and the like, the cable is often damaged by external force in use, and the advantages of safety and reliability of power supply of the cable are seriously influenced.
At present, the protection measures for underground cables mainly include: 1) the measures have the defects of large manpower and material resources consumption and incapability of all-weather monitoring. 2) Mounting a warning board in a special place to remind constructors of paying attention to the protection of cables, or replacing a direct-buried laying mode with a low external force resistance strength by adopting a channel mode with high external force resistance strength such as a buried pipe and a tunnel; the automation and intelligence degree is low, and the actual external force damage prevention effect is not ideal. 3) The distributed optical fiber sensing technology is utilized to monitor the vibration condition around the cable line, a monitoring-free blind spot can be realized by arranging a large number of distributed optical fiber sensors, and the system has the advantages of strong anti-interference capability, low cost and the like. However, most of the existing monitoring systems adopting such vibration sensors adopt vibration signal amplitude as a judgment standard, and set threshold values for actual conditions in different places through experiments, and if the set threshold values are exceeded, the vibration is considered to occur, and if the set threshold values are not exceeded, the vibration is normal. Therefore, false alarm is easy to generate, the setting of the vibration threshold value is difficult, the vibration cannot be effectively monitored if the threshold value is too large, and the threshold value is small and is easy to be influenced by noise. In addition, the method does not classify the vibration source, only simply monitors whether the vibration exists or not, and cannot determine the vibration source. And the vibration signal is seriously attenuated, so the effective monitoring distance of the vibration sensor is low, and a large number of sensors need to be arranged.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a cable damage prevention early warning device capable of identifying a specific external force damage tool, namely a cutting machine.
In order to achieve the purpose, the invention adopts the following technical scheme.
The utility model provides a cable anti-damage early warning device of belting cutting machine characteristic quantity discernment which characterized in that includes: pickup module, voiceprint recognition module, database modeling module, early warning module and wireless communication module, pickup module is used for picking up the cutting machine voiceprint and transmits for voiceprint recognition module, voiceprint recognition module handle the cutting machine voiceprint of collecting and with voiceprint model among the database modeling module discerns the matching, early warning module with voiceprint recognition module's output is connected, is used for generating early warning information, wireless communication module with early warning module connects, is used for sending wireless early warning signal.
More preferably, the pickup module is 8 to silicon microphone pickup module, adopts 8 silicon microphones, to 8 directions pickup, realizes the collection voiceprint of qxcomm technology.
More preferably, the data training method of the voiceprint model comprises: and carrying out signal analysis on the voiceprint of the cutting machine, selecting a plurality of characteristic quantities capable of expressing the characteristics of the voiceprint, training by using a corresponding classification algorithm on the basis of obtaining the characteristic quantities of different classes, and constructing an intelligent classifier based on the characteristic quantities.
More preferably, the voiceprint recognition process of the voiceprint recognition module is as follows: collecting voiceprint of a cutting machine- > noise suppression and voice activity detection- > voiceprint feature extraction of the cutting machine- > voiceprint modeling of the cutting machine- > voiceprint feature quantity extraction of the cutting machine- > recognition matching- > recognizing whether the voiceprint is a cutting machine voiceprint.
More preferably, in the step of identifying and matching, the data training is adopted to select a classification algorithm, an intelligent classifier obtained by the data training is called, and an optimal matching result is found out as a classification result according to a decision method adopted by the intelligent classifier matching algorithm.
More preferably, the voiceprint feature amount includes: the voiceprint of the engine, the voiceprint of the slice rotating at high speed and the voiceprint of the slice rubbing with the ground.
More preferably, the voiceprint model is a voiceprint model of the cutter voiceprint features with feature vectors of the L PC class.
More preferably, when the cutting machine is used, a voiceprint acquisition sensor is arranged near an underground cable line, acquires a voiceprint signal and transmits the voiceprint signal to a cable anti-damage early warning device, and the cable anti-damage early warning device is used for judging whether a cutting machine works or not; if the cutting machine is detected to be in operation, the early warning information is sent to the gateway through the wireless communication module, the gateway forwards the early warning information to the management center background, and the management center background sends out warning information to relevant responsible persons.
The invention has the beneficial effects that:
compared with the prior art, the cable damage prevention early warning device provided by the invention utilizes the voiceprint recognition technology to recognize the characteristic quantity of the cutting machine, can accurately judge whether the cutting machine works nearby an underground cable, has more accurate judgment on the type of a cable external force damage tool, has higher intelligent degree, and has ideal actual external force damage prevention effect. And when the cutting machine works, alarm information is sent to related responsible persons, so that the power department can take corresponding measures to avoid the damage of the cable.
Drawings
Fig. 1 is a block diagram illustrating the operation principle of the hardware module of the recognition early-warning apparatus according to the present invention.
1: pickup module, 2: voiceprint recognition module, 3: database modeling module, 4: early warning module, 5: and a wireless communication module.
Detailed Description
The following describes the embodiments of the present invention with reference to the drawings of the specification, so that the technical solutions and the advantages thereof are more clear and clear. The embodiments described below are exemplary and are intended to be illustrative of the invention, but are not to be construed as limiting the invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
The inventor finds out through investigation on a large number of cable damage accidents that: a cutting machine used in construction site construction is used for causing more external force damage to the cable; and in the construction process, the cutting machine has larger voiceprint characteristics. Therefore, the cable anti-damage early warning device for identifying the characteristic quantity of the cutting machine is designed.
As shown in fig. 1, a cable anti-damage early warning device with cutting machine characteristic quantity recognition comprises: pickup module 1, voiceprint recognition module 2, database modeling module 3, early warning module 4 and wireless communication module 5, pickup module 1 is used for picking up the cutting machine voiceprint and transmits for voiceprint recognition module 2, voiceprint recognition module 2 is handled the cutting machine voiceprint of collection and is discerned the matching with the voiceprint model in database modeling module 3, early warning module 4 with voiceprint recognition module 2's output is connected, is used for generating early warning information, wireless communication module 5 with early warning module 4 is connected, is used for sending wireless early warning signal.
The pickup module 1 is preferably an 8-way silicon microphone pickup module, that is, 8 silicon microphones are adopted to pick up sound in 8 directions, so that the omnidirectional voiceprint collection is realized. In order to improve the early warning accuracy and ensure the audio quality of voiceprint recognition, a high-quality microphone is used for collecting high-quality single-channel audio data with the sampling frequency of 40KHz so as to ensure the quality of the collected audio.
The voiceprint recognition module 2 is used for recognizing voiceprints, and the recognition process is as follows: collecting voiceprint of a cutting machine- > noise suppression and Voice Activity Detection (Voice Activity Detection, VAD) - > voiceprint feature extraction of the cutting machine- > voiceprint modeling of the cutting machine- > voiceprint feature quantity extraction of the cutting machine- > recognition matching- > recognizing whether the voiceprint is a cutting machine voiceprint.
The database modeling module 3 is used for matching the voiceprint models, and the database modeling module 3 is internally stored with a cutting machine working voiceprint model which is trained through a large amount of data in advance. The specific data training method comprises the following steps: and carrying out signal analysis on the voiceprint of the cutting machine, selecting a plurality of characteristic quantities capable of expressing the characteristics of the voiceprint, training by using a corresponding classification algorithm on the basis of obtaining the characteristic quantities of different classes, and constructing an intelligent classifier based on the characteristic quantities.
Correspondingly, when the voiceprint recognition module 2 performs voiceprint recognition, the feature quantity used for training is extracted, then the classification algorithm selected by training is adopted, the intelligent classifier obtained by training is called, and the optimal matching result is found out as the classification result according to the decision method adopted by the intelligent classifier matching algorithm, so that the voiceprint signal recognition is realized.
And the early warning module 4 generates early warning information after the voiceprint matching of the cutting machine is successful. The wireless communication module 5 sends the early warning information to the gateway through the low-power-consumption internet of things technology, the gateway forwards the early warning to the background of the management center, and then the gateway sends out warning information to relevant responsible persons.
In this embodiment, the voiceprint modeling in the voiceprint recognition module 2 and the voiceprint model in the database modeling module 3 both use L PC (L initial Prediction Coefficient) class feature vectors to establish the voiceprint model for the voiceprint features of the cutting machine, by performing fast fourier transform on the voiceprint features of the cutting machine, the resonance peak values of each frequency band of the voiceprint features can be obtained, and since the voiceprint model reflected by the linear Prediction Coefficient method is related to the resonance peak, the voiceprint features of the cutting machine can be well simulated.
Preferably, the extracted voiceprint feature amount includes: the engine sound veins are mainly the sound veins generated by the unbalanced inertia force of the engine moving mechanism and the reciprocating motion of the valve actuating mechanism, and also the noise generated in the combustion process of mixed gas and the noise generated at the position of an air flow inlet and outlet exhaust passage; slicing the voiceprint rotating at a high speed, wherein the high-speed rotating process of the slice generates large noise; the slice rubs the voiceprint against the ground, which is the main noise source during operation and the volume of the emitted voiceprint is the maximum. The research of the inventor discovers that when the diesel or gasoline road surface cutting machine works on a road, the sound signal generated by the diesel or gasoline road surface cutting machine mainly comprises the three voiceprint characteristics, and the voiceprint characteristics of the cutting machine can be more accurately reflected by selecting the three voiceprint characteristics as voiceprint characteristic quantities, so that the voiceprint characteristics of the cutting machine can be accurately identified conveniently, and the anti-interference capability is further improved.
When the cable anti-damage early warning device is practically applied, a voiceprint acquisition sensor is installed near an underground cable line to acquire a voiceprint signal and transmit the voiceprint signal to the cable anti-damage early warning device, and whether a cutting machine is operated or not is judged through the cable anti-damage early warning device. If the cutting machine is detected to be operated, the early warning information is sent to the gateway through the low-power-consumption Internet of things technology, the gateway forwards the early warning to the management center background, and then the warning information is sent to the relevant responsible persons, so that the power department can take corresponding measures, and the cables are prevented from being damaged.
Compared with the prior art, the cable anti-damage early warning device that this embodiment provided utilizes voiceprint recognition technology to discern the characteristic vector of cutting machine, can accurately judge near underground cable whether have the cutting machine at work, and the type judgement that cable external force destroys the instrument and cuts is more accurate, intelligent degree is higher, and prevents external force destruction effect ideal in reality.
It will be appreciated by those skilled in the art from the foregoing description of construction and principles that the invention is not limited to the specific embodiments described above, and that modifications and substitutions based on the teachings of the art may be made without departing from the scope of the invention as defined by the appended claims and their equivalents. The details not described in the detailed description are prior art or common general knowledge.
Claims (8)
1. The utility model provides a cable anti-damage early warning device of belting cutting machine characteristic quantity discernment which characterized in that includes: pickup module, voiceprint recognition module, database modeling module, early warning module and wireless communication module, pickup module is used for picking up the cutting machine voiceprint and transmits for voiceprint recognition module, voiceprint recognition module handle the cutting machine voiceprint of collecting and with voiceprint model among the database modeling module discerns the matching, early warning module with voiceprint recognition module's output is connected, is used for generating early warning information, wireless communication module with early warning module connects, is used for sending wireless early warning signal.
2. The cable damage-prevention early warning device with the cutting machine characteristic quantity recognition function according to claim 1, wherein the pickup module is an 8-direction silicon microphone pickup module, 8 silicon microphones are adopted, pickup is performed in 8 directions, and omnidirectional voiceprint collection is achieved.
3. The cable damage-prevention early warning device with the cutter characteristic quantity recognition function according to claim 1, wherein the data training method of the voiceprint model comprises the following steps: and carrying out signal analysis on the voiceprint of the cutting machine, selecting a plurality of characteristic quantities capable of expressing the characteristics of the voiceprint, training by using a corresponding classification algorithm on the basis of obtaining the characteristic quantities of different classes, and constructing an intelligent classifier based on the characteristic quantities.
4. The cable damage-prevention early warning device with the cutter characteristic quantity recognition function according to claim 3, wherein the voiceprint recognition process of the voiceprint recognition module is as follows: collecting voiceprint of a cutting machine- > noise suppression and voice activity detection- > voiceprint feature extraction of the cutting machine- > voiceprint modeling of the cutting machine- > voiceprint feature quantity extraction of the cutting machine- > recognition matching- > recognizing whether the voiceprint is a cutting machine voiceprint.
5. The cable damage-prevention early warning device with the characteristic quantity recognition function of the cutting machine as claimed in claim 4, wherein in the recognition and matching step, a classification algorithm selected by data training is adopted, an intelligent classifier obtained by the data training is called, and an optimal matching result is found out as a classification result according to a decision method adopted by the intelligent classifier matching algorithm.
6. The cable damage prevention early warning device with cutter characteristic quantity recognition according to claim 3, wherein the voiceprint characteristic quantity comprises: the voiceprint of the engine, the voiceprint of the slice rotating at high speed and the voiceprint of the slice rubbing with the ground.
7. The device of claim 1, wherein the voiceprint model is created by using L PC-type feature vectors for voiceprint features of the cutting machine.
8. The cable anti-damage early warning device with the cutting machine characteristic quantity recognition function according to claim 1, wherein when the device is used, a voiceprint acquisition sensor is installed near an underground cable line, acquires a voiceprint signal and transmits the voiceprint signal to the cable anti-damage early warning device, and the device judges whether a cutting machine works or not; if the cutting machine is detected to be in operation, the early warning information is sent to the gateway through the wireless communication module, the gateway forwards the early warning information to the management center background, and the management center background sends out warning information to relevant responsible persons.
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