CN109584856B - Progressive sound masking mechanism - Google Patents
Progressive sound masking mechanism Download PDFInfo
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- CN109584856B CN109584856B CN201811485198.1A CN201811485198A CN109584856B CN 109584856 B CN109584856 B CN 109584856B CN 201811485198 A CN201811485198 A CN 201811485198A CN 109584856 B CN109584856 B CN 109584856B
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- 230000000873 masking effect Effects 0.000 title claims abstract description 57
- 230000000750 progressive effect Effects 0.000 title claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000009333 weeding Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 5
- 238000005286 illumination Methods 0.000 claims abstract description 4
- 238000012937 correction Methods 0.000 claims description 49
- 238000001914 filtration Methods 0.000 claims description 34
- 238000004458 analytical method Methods 0.000 claims description 31
- 238000000605 extraction Methods 0.000 claims description 26
- 238000009499 grossing Methods 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000003706 image smoothing Methods 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 3
- 239000003921 oil Substances 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000010705 motor oil Substances 0.000 description 3
- 239000010721 machine oil Substances 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000005433 ionosphere Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
Abstract
The invention relates to a progressive sound masking mechanism comprising: the GPS positioning equipment is arranged on the handle and used for receiving positioning data sent by a navigation satellite so as to obtain the current position of the handle; the solar power supply equipment comprises a photovoltaic panel, an electric power storage assembly and a light illumination measuring assembly, wherein the photovoltaic panel is connected with the electric power storage assembly; the data judgment device is connected with the GPS positioning device and used for sending out border crossing notification information when the current position of the handle is not in a preset weeding area; a sound masking device provided at one side of the mowing device, for receiving a target masking level to perform masking processing of different intensities of noise caused to the mowing device based on the target masking level; in the sound masking device, the higher the target masking level is, the higher the intensity of performing the masking process that causes noise to the mowing device is. By means of the invention, a balance can be achieved between the power consumption and the effect of sound masking.
Description
Technical Field
The invention relates to the field of mowing equipment, in particular to a progressive sound shielding mechanism.
Background
The machine oil should be replaced after the mowing equipment is operated for 3.5 hours for the first time, and the machine oil should be replaced every 30-50 hours later. When the engine oil is replaced, the oil should be drained from the oil drain hole of the engine oil bottom shell at the lower part of the cutter head just after the heat engine stops, and the oil filling port can be opened to drain the engine leftwards. After the ignition wire of the spark plug is removed, the oil is drained and recovered immediately, and proper engine oil is added again to the specified scale.
Disclosure of Invention
In order to solve the technical problem that the sound shielding mode of the mowing equipment in the prior art cannot achieve balance between power consumption and effect, the invention provides a progressive sound shielding mechanism.
The invention has at least the following three important points:
(1) performing shape error analysis operation on the alpha mean value filtering image, wherein the shape error analysis is performed on each brightness value of the alpha mean value filtering image to reduce the data operation amount;
(2) under the condition that the shape error does not meet the requirement, executing image shape correction processing by adopting shape correction equipment to obtain a shape correction image with the shape error reaching the standard;
(3) the method comprises the steps of introducing a parameter extraction device, a sound shielding device and a shielding driving device, wherein the parameter extraction device is used for extracting each depth of field corresponding to each human body target in a shape correction image and outputting the minimum value of each depth of field as a depth of field representative value, the sound shielding device is arranged on one side of a mowing device and used for executing shielding processing of different intensities of noise caused by the mowing device based on a received target shielding level, and the shielding driving device is respectively connected with the sound shielding device and the parameter extraction device and used for determining the corresponding target shielding level based on the received depth of field representative value.
According to an aspect of the present invention, there is provided a progressive sound masking mechanism, the mechanism comprising:
the GPS positioning equipment is arranged on the handle and used for receiving positioning data sent by a navigation satellite so as to obtain the current position of the handle; the solar power supply equipment comprises a photovoltaic panel, an electric power storage assembly and a light illumination measuring assembly, wherein the photovoltaic panel is connected with the electric power storage assembly.
More specifically, in the progressive sound masking mechanism, further comprising:
the data judgment device is connected with the GPS positioning device and used for sending out border crossing notification information when the current position of the handle is not in a preset weeding area; the data judgment equipment is used for sending position reliability information when the current position of the handle is in the preset weeding area.
More specifically, in the progressive sound masking mechanism, further comprising:
a sound masking device provided at one side of the mowing device, for receiving a target masking level to perform masking processing of different intensities of noise caused to the mowing device based on the target masking level; in the sound masking device, the higher the target masking level is, the higher the intensity of performing the masking process that causes noise to the mowing device is; the monitoring snapshot device is arranged on the supporting rod below the handle and used for executing image data snapshot processing on the front of the supporting rod so as to obtain an instant snapshot image; the alpha mean value filtering equipment is connected with the monitoring snapshot equipment and is used for receiving the instant snapshot image and executing alpha mean value filtering processing on the instant snapshot image to obtain a corresponding alpha mean value filtering image; the shape error analysis equipment is connected with the alpha mean value filtering equipment and used for receiving the alpha mean value filtering image and executing shape error analysis operation on the alpha mean value filtering image so as to obtain a shape error of the alpha mean value filtering image to be used as a reference shape error to be output; in the shape error analysis apparatus, performing a shape error analysis operation on the alpha mean filtered image to obtain a shape error of the alpha mean filtered image as a reference shape error output includes: obtaining each brightness value of each pixel point in the alpha mean value filtering image, forming a brightness image by each brightness value, determining the shape error of the brightness image and outputting the shape error as the reference shape error; the parameter comparison equipment is connected with the shape error analysis equipment and used for receiving the reference shape error and comparing the reference shape error with a shape error threshold value so as to send a first comparison instruction when the reference shape error is larger than or equal to the shape error threshold value and send a second comparison instruction when the reference shape error is smaller than the shape error threshold value; the shape correcting device is respectively connected with the parameter comparison device and the shape error analysis device, and is used for executing image shape correction processing on the alpha mean value filtering image to obtain a shape correcting image when the first comparison instruction is received, and outputting the alpha mean value filtering image as a shape correcting image when the second comparison instruction is received; the parameter extraction equipment is connected with the shape correction equipment and used for extracting each depth of field corresponding to each human body target in the shape correction image respectively and outputting the minimum value in each depth of field as a depth of field representative value; and the shielding driving device is respectively connected with the sound shielding device and the parameter extracting device and used for determining a corresponding target shielding level based on the received depth of field representative value, wherein the smaller the depth of field representative value is, the higher the determined corresponding target shielding level is.
More specifically, in the progressive sound masking mechanism: a RAM unit is also built in the parameter comparison device for storing the shape error threshold.
More specifically, in the progressive sound masking mechanism, further comprising:
the contour recognition device, the area analysis device, the object extraction device, the FLASH memory chip, the smoothing processing device and the histogram equalization device are arranged between the shape correction device and the parameter extraction device.
Detailed Description
The following will describe in detail an embodiment of the progressive sound masking mechanism of the present invention.
Before the mowing equipment mows, sundries in a mowing area must be cleared away firstly, so that damage to the machine caused by damage to a mowing head is avoided. Starting the engine in a cold state, closing the air door firstly, and then opening the air door in time after starting. If the grass surface is too large, the continuous working time of the mower is not too long, preferably not more than 6 hours in winter, and not more than 3 hours in summer (depending on the equipment). After the mowing equipment is used, the mowing equipment is comprehensively cleaned, whether all screws are fastened or not is checked, whether blades are defective or not is checked, the high-pressure cap is overhauled, and the like, and the inspection or replacement of vulnerable accessories is enhanced according to the service life of the mowing machine.
In order to overcome the defects, the invention builds a progressive sound shielding mechanism, and can effectively solve the corresponding technical problem.
A progressive sound masking mechanism is shown according to an embodiment of the invention comprising:
the GPS positioning equipment is arranged on the handle and used for receiving positioning data sent by a navigation satellite so as to obtain the current position of the handle;
the solar power supply equipment comprises a photovoltaic panel, an electric power storage assembly and a light illumination measuring assembly, wherein the photovoltaic panel is connected with the electric power storage assembly.
Next, a detailed description of the progressive sound masking mechanism of the present invention will be further described.
In the progressive sound masking mechanism, further comprising:
the data judgment device is connected with the GPS positioning device and used for sending out border crossing notification information when the current position of the handle is not in a preset weeding area;
the data judgment equipment is used for sending position reliability information when the current position of the handle is in the preset weeding area.
In the progressive sound masking mechanism, further comprising:
a sound masking device provided at one side of the mowing device, for receiving a target masking level to perform masking processing of different intensities of noise caused to the mowing device based on the target masking level;
in the sound masking device, the higher the target masking level is, the higher the intensity of performing the masking process that causes noise to the mowing device is;
the monitoring snapshot device is arranged on the supporting rod below the handle and used for executing image data snapshot processing on the front of the supporting rod so as to obtain an instant snapshot image;
the alpha mean value filtering equipment is connected with the monitoring snapshot equipment and is used for receiving the instant snapshot image and executing alpha mean value filtering processing on the instant snapshot image to obtain a corresponding alpha mean value filtering image;
the shape error analysis equipment is connected with the alpha mean value filtering equipment and used for receiving the alpha mean value filtering image and executing shape error analysis operation on the alpha mean value filtering image so as to obtain a shape error of the alpha mean value filtering image to be used as a reference shape error to be output;
in the shape error analysis apparatus, performing a shape error analysis operation on the alpha mean filtered image to obtain a shape error of the alpha mean filtered image as a reference shape error output includes: obtaining each brightness value of each pixel point in the alpha mean value filtering image, forming a brightness image by each brightness value, determining the shape error of the brightness image and outputting the shape error as the reference shape error;
the parameter comparison equipment is connected with the shape error analysis equipment and used for receiving the reference shape error and comparing the reference shape error with a shape error threshold value so as to send a first comparison instruction when the reference shape error is larger than or equal to the shape error threshold value and send a second comparison instruction when the reference shape error is smaller than the shape error threshold value;
the shape correcting device is respectively connected with the parameter comparison device and the shape error analysis device, and is used for executing image shape correction processing on the alpha mean value filtering image to obtain a shape correcting image when the first comparison instruction is received, and outputting the alpha mean value filtering image as a shape correcting image when the second comparison instruction is received;
the parameter extraction equipment is connected with the shape correction equipment and used for extracting each depth of field corresponding to each human body target in the shape correction image respectively and outputting the minimum value in each depth of field as a depth of field representative value;
and the shielding driving device is respectively connected with the sound shielding device and the parameter extracting device and used for determining a corresponding target shielding level based on the received depth of field representative value, wherein the smaller the depth of field representative value is, the higher the determined corresponding target shielding level is.
In the progressive sound masking mechanism: a RAM unit is also built in the parameter comparison device for storing the shape error threshold.
In the progressive sound masking mechanism, further comprising:
the contour recognition device, the area analysis device, the object extraction device, the FLASH memory chip, the smoothing processing device and the histogram equalization device are arranged between the shape correction device and the parameter extraction device.
In the progressive sound masking mechanism: the contour recognition device is connected with the shape correction device and used for receiving the shape correction image, and performing object contour recognition on the shape correction image based on a preset brightness threshold value to obtain one or more object contours in the shape correction image;
the area analysis device is connected with the contour recognition device and used for receiving the one or more object contours and determining that the object corresponding to the object contour is a valid object when the proportion of the area surrounded by the object contour occupying the shape correction image area exceeds a preset proportion threshold.
In the progressive sound masking mechanism: the object extraction device is connected with the area analysis device and used for receiving one or more effective objects in the shape correction image, sequencing the one or more effective objects from large to small based on the depth of field of the object, and outputting the area occupied by the effective objects with the ranked depth of field in the shape correction image as an area to be analyzed; outputting the area occupied by the effective object with the ranked depth of field in the shape correction image as the area to be analyzed, wherein the area comprises: and outputting the area occupied by the plurality of effective objects with half of the one or more effective objects with the object depth of field ranked in the shape correction image as the area to be analyzed.
In the progressive sound masking mechanism: the FLASH storage chip is respectively connected with the area analysis equipment and the object extraction equipment and is used for storing the preset brightness threshold value and the preset proportion threshold value;
the smoothing device is connected with the object extraction device and used for receiving the region to be analyzed and executing image smoothing on the region to be analyzed to obtain and output a corresponding smoothing region.
In the progressive sound masking mechanism: the histogram equalization device is respectively connected with the parameter extraction device and the smoothing device, and is configured to receive the smoothing region, and perform field histogram equalization processing on the smoothing region, so as to output the obtained field equalization region to the parameter extraction device in place of the shape correction image.
In the progressive sound masking mechanism: the FLASH storage chip is also used for being connected with the histogram equalization equipment and temporarily storing the field equalization area;
wherein the step of taking, as an area to be analyzed, an area occupied by a plurality of effective objects, which are half the number of the one or more effective objects whose object depths are ranked, in the shape correction image includes: when the one or more effective object numbers are one, directly outputting the area occupied by the one or more effective object numbers in the shape correction image as an area to be analyzed;
the object extraction device comprises a depth ordering sub-device and an area output sub-device, wherein the area output sub-device is used for outputting an area occupied by the effective object with the ranked depth in the shape correction image as an area to be analyzed.
In addition, the basic principle of the GPS navigation system is to measure the distance between a satellite with a known position and a user receiver, and then integrate data of a plurality of satellites to know the specific position of the receiver. To achieve this, the position of the satellite can be found in the satellite ephemeris from the time recorded by the on-board clock. The distance from the user to the satellite is obtained by recording the time that the satellite signal travels to the user and multiplying the time by the speed of light (because of the interference of the atmospheric ionosphere, the distance is not the true distance between the user and the satellite, but is a pseudo-range (PR), when the GPS satellite works normally, the GPS satellite continuously transmits navigation messages by pseudo-random codes (pseudo-codes for short) formed by 1 and 0 binary code groups, the GPS system uses two pseudo-codes which are civil C/A codes and military P (Y) codes respectively, the frequency of the C/A codes is 1.023MHz, the repetition period is one millisecond, the code distance is 1 microsecond and is 300m, the frequency of the P codes is 10.23MHz, the repetition period is 266.4 days, the code distance is 0.1 microsecond and is 30m, and the Y codes are formed on the basis of the P codes, the security performance is better Clock correction, ionospheric delay correction, atmospheric refraction correction, and the like. It is demodulated from the satellite signal and transmitted on a carrier frequency with 50b/s modulation. Each main frame of the navigation message comprises 5 sub-frames with the length of 6 s. 10 character codes in each of the first three frames; repeated every thirty seconds and updated every hour. The two last frames are 15000b in total. The navigation message mainly comprises telemetry codes, conversion codes and data blocks 1, 2 and 3, wherein the most important is ephemeris data. When a user receives a navigation message, the distance between the satellite and the user can be known by extracting the satellite time and comparing the satellite time with the clock of the user, the position of the satellite when the message is transmitted is calculated by using the satellite ephemeris data in the navigation message, and the information such as the position speed of the user in a WGS-84 geodetic coordinate system can be known.
By adopting the progressive sound shielding mechanism, aiming at the technical problem that the sound shielding mode of the mowing equipment in the prior art cannot achieve balance between power consumption and effect, the shape error analysis operation is carried out on the alpha mean value filtering image, wherein more importantly, the shape error analysis is carried out on each brightness value of the alpha mean value filtering image so as to reduce the data operation amount; under the condition that the shape error does not meet the requirement, executing image shape correction processing by adopting shape correction equipment to obtain a shape correction image with the shape error reaching the standard; and introducing a parameter extraction device, which is used for extracting each depth of field corresponding to each human body target in the shape correction image and outputting the minimum value of each depth of field as a depth of field representative value, introducing a sound shielding device, which is arranged on one side of the mowing device and is used for executing shielding processing of different intensities causing noise to the mowing device based on the received target shielding level, and introducing a shielding driving device, which is respectively connected with the sound shielding device and the parameter extraction device and is used for determining the corresponding target shielding level based on the received depth of field representative value.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (8)
1. A progressive sound masking mechanism, comprising:
the GPS positioning equipment is arranged on the handle and used for receiving positioning data sent by a navigation satellite so as to obtain the current position of the handle;
the solar power supply equipment comprises a photovoltaic panel, an electric power storage assembly and a light illumination measuring assembly, wherein the photovoltaic panel is connected with the electric power storage assembly;
the data judgment device is connected with the GPS positioning device and used for sending out border crossing notification information when the current position of the handle is not in a preset weeding area;
the data judgment equipment is used for sending out position reliable information when the current position of the handle is in the preset weeding area;
a sound masking device provided at one side of the mowing device, for receiving a target masking level to perform masking processing of different intensities of noise caused to the mowing device based on the target masking level;
in the sound masking device, the higher the target masking level is, the higher the intensity of performing the masking process that causes noise to the mowing device is;
the monitoring snapshot device is arranged on the supporting rod below the handle and used for executing image data snapshot processing on the front of the supporting rod so as to obtain an instant snapshot image;
the alpha mean value filtering equipment is connected with the monitoring snapshot equipment and is used for receiving the instant snapshot image and executing alpha mean value filtering processing on the instant snapshot image to obtain a corresponding alpha mean value filtering image;
the shape error analysis equipment is connected with the alpha mean value filtering equipment and used for receiving the alpha mean value filtering image and executing shape error analysis operation on the alpha mean value filtering image so as to obtain a shape error of the alpha mean value filtering image to be used as a reference shape error to be output;
in the shape error analysis apparatus, performing a shape error analysis operation on the alpha mean filtered image to obtain a shape error of the alpha mean filtered image as a reference shape error output includes: obtaining each brightness value of each pixel point in the alpha mean value filtering image, forming a brightness image by each brightness value, determining the shape error of the brightness image and outputting the shape error as the reference shape error;
the parameter comparison equipment is connected with the shape error analysis equipment and used for receiving the reference shape error and comparing the reference shape error with a shape error threshold value so as to send a first comparison instruction when the reference shape error is larger than or equal to the shape error threshold value and send a second comparison instruction when the reference shape error is smaller than the shape error threshold value;
the shape correcting device is respectively connected with the parameter comparison device and the shape error analysis device, and is used for executing image shape correction processing on the alpha mean value filtering image to obtain a shape correcting image when the first comparison instruction is received, and outputting the alpha mean value filtering image as a shape correcting image when the second comparison instruction is received;
the parameter extraction equipment is connected with the shape correction equipment and used for extracting each depth of field corresponding to each human body target in the shape correction image respectively and outputting the minimum value in each depth of field as a depth of field representative value;
and the shielding driving device is respectively connected with the sound shielding device and the parameter extracting device and used for determining a corresponding target shielding level based on the received depth of field representative value, wherein the smaller the depth of field representative value is, the higher the determined corresponding target shielding level is.
2. The progressive sound masking mechanism of claim 1, wherein:
a RAM unit is also built in the parameter comparison device for storing the shape error threshold.
3. The progressive sound masking mechanism of claim 2, further comprising:
the contour recognition device, the area analysis device, the object extraction device, the FLASH memory chip, the smoothing processing device and the histogram equalization device are arranged between the shape correction device and the parameter extraction device.
4. The progressive sound masking mechanism of claim 3, wherein:
the contour recognition device is connected with the shape correction device and used for receiving the shape correction image, and performing object contour recognition on the shape correction image based on a preset brightness threshold value to obtain one or more object contours in the shape correction image;
the area analysis device is connected with the contour recognition device and used for receiving the one or more object contours and determining that the object corresponding to the object contour is a valid object when the proportion of the area surrounded by the object contour occupying the shape correction image area exceeds a preset proportion threshold.
5. The progressive sound masking mechanism of claim 4, wherein:
the object extraction device is connected with the area analysis device and used for receiving one or more effective objects in the shape correction image, sequencing the one or more effective objects from large to small based on the depth of field of the object, and outputting the area occupied by the effective objects with the ranked depth of field in the shape correction image as an area to be analyzed; outputting the area occupied by the effective object with the ranked depth of field in the shape correction image as the area to be analyzed, wherein the area comprises: and outputting the area occupied by the plurality of effective objects with half of the one or more effective objects with the object depth of field ranked in the shape correction image as the area to be analyzed.
6. The progressive sound masking mechanism of claim 5, wherein:
the FLASH storage chip is respectively connected with the area analysis equipment and the object extraction equipment and is used for storing the preset brightness threshold value and the preset proportion threshold value;
the smoothing device is connected with the object extraction device and used for receiving the region to be analyzed and executing image smoothing on the region to be analyzed to obtain and output a corresponding smoothing region.
7. The progressive sound masking mechanism of claim 6, wherein:
the histogram equalization device is respectively connected with the parameter extraction device and the smoothing device, and is configured to receive the smoothing region, and perform field histogram equalization processing on the smoothing region, so as to output the obtained field equalization region to the parameter extraction device in place of the shape correction image.
8. The progressive sound masking mechanism of claim 7, wherein:
the FLASH storage chip is also used for being connected with the histogram equalization equipment and temporarily storing the field equalization area;
wherein the step of taking, as an area to be analyzed, an area occupied by a plurality of effective objects, which are half the number of the one or more effective objects whose object depths are ranked, in the shape correction image includes: when the one or more effective object numbers are one, directly outputting the area occupied by the one or more effective object numbers in the shape correction image as an area to be analyzed;
the object extraction device comprises a depth ordering sub-device and an area output sub-device, wherein the area output sub-device is used for outputting an area occupied by the effective object with the ranked depth in the shape correction image as an area to be analyzed.
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| CN111027363B8 (en) * | 2019-04-28 | 2021-03-19 | 丽水新贝蕾科技有限公司 | Auxiliary signal parameter analysis system |
| CN113044346A (en) * | 2020-10-26 | 2021-06-29 | 泰州市华仕达机械制造有限公司 | Assembly line type target detection positioning platform |
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