CN117409790A - Construction equipment voiceprint detection method, system, equipment and medium - Google Patents
Construction equipment voiceprint detection method, system, equipment and medium Download PDFInfo
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- CN117409790A CN117409790A CN202311350708.5A CN202311350708A CN117409790A CN 117409790 A CN117409790 A CN 117409790A CN 202311350708 A CN202311350708 A CN 202311350708A CN 117409790 A CN117409790 A CN 117409790A
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- 238000010276 construction Methods 0.000 title claims abstract description 125
- 238000001514 detection method Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims abstract description 14
- 238000013139 quantization Methods 0.000 claims description 19
- 230000000737 periodic effect Effects 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 15
- 230000009466 transformation Effects 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 12
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
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- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computational Linguistics (AREA)
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- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The application relates to the technical field of engineering construction, in particular to a construction equipment voiceprint detection method, a construction equipment voiceprint detection system, construction equipment voiceprint detection equipment and construction equipment voiceprint detection media, wherein the technical scheme is as follows: acquiring a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted; preprocessing information to be extracted to obtain working state characteristic parameters; and the working state characteristic parameters of a plurality of construction instruments are analyzed and classified, so that the condition that underground cables and pipelines are damaged in the construction process is reduced, and the accuracy of monitoring the positions of the construction instruments is improved.
Description
Technical Field
The application relates to the technical field of engineering construction, in particular to a construction equipment voiceprint detection method, a construction equipment voiceprint detection system, construction equipment voiceprint detection equipment and construction equipment voiceprint detection media.
Background
In the construction process of cables and pipelines, the construction equipment can cause phenomena of digging and breaking and the like to underground cables and pipelines due to lack of supervision, so that unnecessary losses are caused. The problem that external damage is prevented in the construction process of the cable is a pain spot in the electric power and energy industry, and the problem cannot be effectively treated for a long time.
In the construction operation process of the construction engineering equipment, signals such as vibration, noise and the like with different frequencies, different intervals, different tones, different sound intensities and different energies can be generated, and the current detection equipment can effectively judge the operation action and the operation position of the construction equipment through monitoring the signals such as vibration, noise and the like, so that the construction position is pre-warned and pre-judged in advance, and the phenomenon of external damage is reduced. However, the monitoring of the vibration signal is often affected by the soil condition in the construction process, and because the propagation attenuation of the vibration signal in the soft pavement and the soil is very fast, if the construction process is performed on the soft pavement, such as a green belt or a sidewalk, the monitoring of the vibration signal will not play a great role, and the accuracy of prejudging the position of the construction equipment in the working process is affected, so that the above problem is to be solved.
Disclosure of Invention
In order to reduce the occurrence of damage to underground cables and pipelines in the construction process and improve the accuracy of monitoring the position of a construction instrument, the application provides a construction instrument voiceprint detection method, a construction instrument voiceprint detection system, a construction instrument voiceprint detection equipment and a construction instrument voiceprint detection medium, which adopt the following technical scheme:
in a first aspect, the present application provides a method for detecting voiceprint of a construction apparatus, including:
acquiring a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted;
preprocessing information to be extracted to obtain working state characteristic parameters;
and analyzing and classifying the working state characteristic parameters of a plurality of construction instruments.
Preferably, the preprocessing includes any one of frequency domain transformation, amplitude transformation, periodic feature extraction and sound intensity feature extraction.
Preferably, the working state characteristic parameter includes any one of voiceprint frequency, sound intensity amplitude, periodic characteristic and sound intensity energy.
Preferably, the frequency domain transformation is to convert the time domain voiceprint signal into a frequency domain voiceprint signal, which is embodied as a high frequency parameter and a low frequency parameter; the amplitude transformation is to quantize the sound intensity amplitude of the time domain voiceprint signal, and divide the sound intensity amplitude into M quantization levels through M quantization parameters, and the M quantization levels are marked as A1-Am; the periodic feature extraction is to calculate the periodic feature of the time domain voiceprint signal, and the different action intervals Ta during each operation and the action interval Tc between two continuous operations; the sound intensity feature extraction is to quantize the sound intensity energy of the time domain voiceprint signal, and divide the sound intensity energy into N quantization levels through N quantization parameters, and the N quantization levels are marked as P1-Pn.
Preferably, the method comprises the steps of:
setting an unsteady state weighting sound level network, wherein the periodic characteristics of the unsteady state weighting sound level network exist in an unsteady state form in measurement time, the unsteady state period of the first construction is T1, the unsteady state period of the kth construction is Tk, and analyzing and calculating according to the T1-Tk time; in the case where the amplitude of sound intensity is lower than the threshold value AT, it is determined as the start point or the stop point of one non-steady-state period.
Preferably, the method further comprises:
the change trend of the sound intensity amplitude is AC, the change trend of the sound intensity energy is PC, under the condition that fitting polynomials of the AC and the PC are similar, the voiceprint signal analysis is effective, fitting analysis judgment is carried out corresponding to a construction instrument voiceprint library, and a corresponding construction instrument type judgment result is given; in the case where the fitting polynomial of AC and PC is widely spaced, voiceprint signal analysis is ineffective and there is a false positive.
Preferably, when the AC and the PC correspond to the construction equipment voiceprint library to carry out fitting analysis judgment, the comparison judgment of the corresponding equipment voiceprint frequency in the construction equipment voiceprint library of the voiceprint frequency is carried out at the same time, and when the corresponding fitting parameters are matched, the construction equipment category corresponding to the voiceprint analysis is given.
In a second aspect, the present application provides a construction equipment voiceprint detection system comprising:
the acquisition module is used for: the method comprises the steps of obtaining a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted;
and a pretreatment module: the method comprises the steps of preprocessing information to be extracted to obtain working state characteristic parameters;
and an analysis module: the working state characteristic parameters of a plurality of construction equipment are analyzed and classified.
In a third aspect, the present application provides a construction equipment voiceprint detection apparatus comprising a memory storing a computer program and a processor arranged to run the computer program to perform a construction equipment voiceprint detection method as described above.
In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored therein, wherein the computer program is configured to perform, when run, a construction machine voiceprint detection method as described above.
To sum up, compared with the prior art, the beneficial effects brought by the technical scheme provided by the application at least include:
according to the method, format conversion is carried out by acquiring the voiceprint signal of the construction equipment, the voiceprint signal is converted into information to be extracted, the voiceprint signal can be preprocessed, working state characteristic parameters are obtained through preprocessing, frequency domain transformation, amplitude transformation, periodic characteristic extraction and sound intensity characteristic extraction processing are carried out on the working state characteristic parameters, analysis and classification are carried out, the position and the type of the construction equipment are judged, and therefore the situation that underground cables and pipelines are damaged in the construction process is reduced, and the accuracy of position monitoring of the construction equipment is improved.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting voiceprint of a construction apparatus according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a voiceprint detection device of a construction apparatus according to an embodiment of the present application.
Fig. 3 is a schematic block diagram of a voiceprint detection system of a construction apparatus according to an embodiment of the present application.
Reference numerals illustrate:
1. an acquisition module; 2. a preprocessing module; 3. and an analysis module.
Detailed Description
The following further details the application in connection with fig. 1-3, and the terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting.
Referring to fig. 1, a method for detecting voiceprint of a construction apparatus according to the present application specifically includes:
step S101: obtaining a voiceprint signal sent by a construction instrument, performing format conversion on the voiceprint signal to obtain information to be extracted,
step S102: preprocessing the information to be extracted to obtain working state characteristic parameters,
step S103: and analyzing and classifying the working state characteristic parameters of a plurality of construction instruments.
Specifically, the voiceprint signal can be spread in the air, and the soft pavement and the soil can spread the voiceprint signal as well, so that the voiceprint signal sent by the construction engineering machine can be monitored on the soft pavement unlike the monitoring of the vibration signal, thereby playing the role of early warning and prejudging the construction of the nearby environment. According to the specific voiceprint signal sent by the construction engineering equipment, specific monitoring and analysis are set, so that voiceprints of the construction engineering equipment during operation can be accurately identified and analyzed, external damage events can be effectively prevented from being early warned for construction, damage to underground cables and pipelines is reduced during construction, and the accuracy of monitoring the position of the construction equipment is improved.
As one embodiment, the specific steps of performing format conversion on the voiceprint signal to obtain information to be extracted are as follows:
and converting the voiceprint signal into an analog electric signal reference quantity, and performing analog-to-digital conversion on the analog electric signal reference quantity to obtain information to be extracted, wherein the information to be extracted is a voiceprint digital signal.
Specifically, the voiceprint sensor array obtains the voiceprint signal sent by the construction instrument, the voiceprint sensor array is composed of two or more voiceprint sensors, the embodiment of the application comprises but is not limited to four voiceprint sensors, the voiceprint sensor converts the voiceprint signal sent by the construction instrument into an analog electric signal parameter, the analog electric signal parameter is given to a main control processing unit of the external damage prevention device for analog-digital conversion, namely, the conversion is converted into information to be extracted, and then preprocessing and multidimensional parameter vector analysis processing are carried out.
The analog-to-digital conversion of the main control processing unit of the external breaking prevention device is executed by a built-in ADC controller, and analog voiceprint signals are collected and converted into digital signals with certain precision.
As one of the embodiments, the preprocessing includes any one of frequency domain transformation, amplitude transformation, periodic feature extraction, and sound intensity feature extraction.
Specifically, referring to fig. 2, the preprocessing results in the operating state characteristic parameters, and the operating state characteristic parameters include the voiceprint frequency F, the intensity amplitude a, the period characteristic T, and the intensity energy P. The frequency conversion in the data characteristic extraction unit of the main control processing unit of the external damage prevention device in the embodiment of the application refers to converting a time domain voiceprint signal into a frequency domain voiceprint signal, and the frequency domain voiceprint signal is reflected to be a high-frequency parameter F and a low-frequency parameter F.
The amplitude transformation is to perform quantization calculation on the sound intensity amplitude A of the time domain voiceprint signal, and divide the sound intensity amplitude A into M quantization levels through M quantization parameters, which are marked as A1-Am.
The period feature extraction is to calculate the action period T of the time domain voiceprint signal, and the different action intervals Ta during each operation and the action interval Tc between two continuous operations.
The sound intensity feature extraction refers to performing quantization calculation on an energy sound intensity signal P of a time domain sound track signal, and dividing the energy sound intensity signal P into N quantization levels through N quantization parameters, wherein the N quantization levels are marked as P1-Pn.
The sound intensity frequency F is influenced by the type of construction equipment, and different construction equipment F are different; the sound intensity amplitude A is influenced by the construction distance D, the sound source is more distant and less distant, and the sound intensity amplitude A is smaller, whereas the sound source is more close and less distant, so that the sound intensity amplitude A is inversely proportional to the sound intensity amplitude D; the periodic characteristics T are influenced by the types of construction equipment, different construction equipment periodic characteristics T are different, meanwhile, the periodic characteristics T of piling construction are smaller, and the periodic characteristics T of continuous development construction are larger; the sound intensity energy P is also influenced by the construction distance D, the sound source is larger as the sound source is far away from the construction distance D, the sound intensity energy P is smaller as the sound source is close to the construction distance D, and conversely, the sound intensity energy P is larger as the sound source is close to the construction distance D, so that the sound intensity energy P is inversely proportional to the construction distance D, and the sound intensity energy P is directly proportional to the sound intensity amplitude A;
the sound track monitoring algorithm design of the multidimensional parameter vector joint judgment calculation can better reflect an unsteady weight-counting sound level algorithm of subjective feeling of the sound track of construction equipment construction by human ears, and can better evaluate and analyze the unsteady construction sound track. The periodic characteristic T of the unsteady state weighting sound level algorithm exists in an unsteady state form in the measurement time, the unsteady state period of the first construction is T1, the unsteady state period of the kth construction is Tk, and all algorithm calculation and analysis are carried out in the time based on T1-Tk. When the amplitude A of sound intensity is lower than the threshold value AT, the sound intensity is determined as the start and stop points of an unsteady state period.
Within Tk, the voiceprint signal amplitude a and the intensity energy P are quantized to A1-Am, and P1-Pn, and the intensity amplitude a and the intensity energy P are both varied in direct proportion to D, so that the variation trend of the intensity amplitude a and the intensity energy P is similar. Therefore, the change trend is expressed as AC and PC, the fitting polynomials of the AC and the PC are similar, if the fitting polynomials of the AC and the PC are similar, the voiceprint signal analysis is effective, fitting analysis judgment is carried out corresponding to a construction equipment voiceprint library, and a corresponding construction equipment type judgment result is given; otherwise, if the fitting polynomial of the AC and the PC is large in difference, the voiceprint signal analysis is invalid and misjudgment exists.
When the AC and the PC correspond to the construction equipment voiceprint library to carry out fitting analysis judgment, the comparison judgment of the corresponding voiceprint frequency F parameter in the construction equipment voiceprint library of the voiceprint frequency F parameter is carried out simultaneously. When the corresponding fitting parameters are matched, judging results of parameters such as the type, the specific model, the construction operation mode and the method of the construction equipment corresponding to the voiceprint analysis are given.
Referring to fig. 3, a construction equipment voiceprint detection system is provided for an embodiment of the present application, and includes an acquisition module 1, a preprocessing module 2, and an analysis module 3.
Acquisition module 1: the method comprises the steps of obtaining a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted;
pretreatment module 2: the method comprises the steps of preprocessing information to be extracted to obtain working state characteristic parameters;
analysis module 3: the working state characteristic parameters of a plurality of construction equipment are analyzed and classified.
Specifically, the analysis module 3 is further configured to set an unsteady state weighting sound level network, where a period characteristic of the unsteady state weighting sound level network exists in an unsteady state form in a measurement time, a first construction unsteady state period is T1, a kth construction unsteady state period is Tk, and analysis and calculation are performed according to the time of T1-Tk; in the case where the amplitude of sound intensity is lower than the threshold value AT, it is determined as the start point or the stop point of one non-steady-state period. The change trend of the sound intensity amplitude is AC, the change trend of the sound intensity energy is PC, under the condition that fitting polynomials of the AC and the PC are similar, the voiceprint signal analysis is effective, fitting analysis judgment is carried out corresponding to a construction instrument voiceprint library, and a corresponding construction instrument type judgment result is given; in the case where the fitting polynomial of AC and PC is widely spaced, voiceprint signal analysis is ineffective and there is a false positive. When the AC and the PC correspond to the construction equipment voiceprint library to carry out fitting analysis judgment, the comparison judgment of the corresponding equipment voiceprint frequency in the construction equipment voiceprint library of the voiceprint frequency is carried out at the same time, and when the corresponding fitting parameters are matched, the construction equipment category corresponding to the voiceprint analysis is given.
Embodiments of the present application provide a construction equipment voiceprint detection apparatus comprising a memory storing a computer program and a processor arranged to run the computer program to perform a construction equipment voiceprint detection method as described above.
Embodiments of the present application provide a computer readable storage medium having a computer program stored therein, wherein the computer program is configured to perform a construction equipment voiceprint detection method as described above when run.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the apparatus and the product described above may refer to the corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the several embodiments provided herein, it should be understood that the disclosed methods, systems, apparatus, and program products may be embodied in other ways.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The construction equipment voiceprint detection method is characterized by comprising the following steps of:
acquiring a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted;
preprocessing information to be extracted to obtain working state characteristic parameters;
and analyzing and classifying the working state characteristic parameters of a plurality of construction instruments.
2. The method for detecting the voiceprint of the construction equipment according to claim 1, wherein the preprocessing comprises any one of frequency domain transformation, amplitude transformation, periodic feature extraction and sound intensity feature extraction.
3. The method for detecting the voiceprint of the construction equipment according to claim 2, wherein the working condition characteristic parameter comprises any one of voiceprint frequency, sound intensity amplitude, periodic characteristic and sound intensity energy.
4. A construction equipment voiceprint detection method according to claim 3 wherein the frequency domain transformation is a transformation of a time domain voiceprint signal into a frequency domain voiceprint signal, embodied as a high frequency parameter and a low frequency parameter; the amplitude transformation is to quantize the sound intensity amplitude of the time domain voiceprint signal, and divide the sound intensity amplitude into M quantization levels through M quantization parameters, and the M quantization levels are marked as A1-Am; the periodic feature extraction is to calculate the periodic feature of the time domain voiceprint signal, and the different action intervals Ta during each operation and the action interval Tc between two continuous operations; the sound intensity feature extraction is to quantize the sound intensity energy of the time domain voiceprint signal, and divide the sound intensity energy into N quantization levels through N quantization parameters, and the N quantization levels are marked as P1-Pn.
5. A construction equipment voiceprint detection method according to claim 3, comprising:
setting an unsteady state weighting sound level network, wherein the periodic characteristics of the unsteady state weighting sound level network exist in an unsteady state form in measurement time, the unsteady state period of the first construction is T1, the unsteady state period of the kth construction is Tk, and analyzing and calculating according to the T1-Tk time; in the case where the amplitude of sound intensity is lower than the threshold value AT, it is determined as the start point or the stop point of one non-steady-state period.
6. The construction equipment voiceprint detection method according to claim 5, further comprising:
the change trend of the sound intensity amplitude is AC, the change trend of the sound intensity energy is PC, under the condition that fitting polynomials of the AC and the PC are similar, the voiceprint signal analysis is effective, fitting analysis judgment is carried out corresponding to a construction instrument voiceprint library, and a corresponding construction instrument type judgment result is given; in the case where the fitting polynomial of AC and PC is widely spaced, voiceprint signal analysis is ineffective and there is a false positive.
7. The construction equipment voiceprint detection method according to claim 6, wherein when the fitting analysis judgment is carried out on the construction equipment voiceprint library corresponding to the AC and the PC, the comparison judgment of the corresponding equipment voiceprint frequency in the construction equipment voiceprint library of the voiceprint frequency is carried out at the same time, and when the corresponding fitting parameters are matched, the construction equipment category corresponding to the voiceprint analysis is given.
8. A construction equipment voiceprint detection system, comprising:
the acquisition module is used for: the method comprises the steps of obtaining a voiceprint signal sent by a construction instrument, and performing format conversion on the voiceprint signal to obtain information to be extracted;
and a pretreatment module: the method comprises the steps of preprocessing information to be extracted to obtain working state characteristic parameters;
and an analysis module: the working state characteristic parameters of a plurality of construction equipment are analyzed and classified.
9. A construction equipment voiceprint detection apparatus comprising a memory and a processor, the memory storing a computer program, the processor being arranged to run the computer program to perform the construction equipment voiceprint detection method of any one of claims 1 to 7.
10. A computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, wherein the computer program is configured to perform the construction equipment voiceprint detection method of any one of claims 1-7 when run.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311350708.5A CN117409790A (en) | 2023-10-18 | 2023-10-18 | Construction equipment voiceprint detection method, system, equipment and medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311350708.5A CN117409790A (en) | 2023-10-18 | 2023-10-18 | Construction equipment voiceprint detection method, system, equipment and medium |
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| CN202311350708.5A Pending CN117409790A (en) | 2023-10-18 | 2023-10-18 | Construction equipment voiceprint detection method, system, equipment and medium |
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