CN115104582A - Vibration induction color-changing float algorithm - Google Patents
Vibration induction color-changing float algorithm Download PDFInfo
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- CN115104582A CN115104582A CN202210529708.0A CN202210529708A CN115104582A CN 115104582 A CN115104582 A CN 115104582A CN 202210529708 A CN202210529708 A CN 202210529708A CN 115104582 A CN115104582 A CN 115104582A
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- 238000002845 discoloration Methods 0.000 claims description 2
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K93/00—Floats for angling, with or without signalling devices
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
- Y02A40/81—Aquaculture, e.g. of fish
Abstract
The invention is suitable for the technical field of electronic floats, and provides a vibration sensing color-changing float algorithm, which comprises the following steps: s1: electrifying, and supplying power to an acceleration sensor of the float; s2: acquiring sensor information, and reading XYZ triaxial data information of the sensor; s3: analyzing the sensor data, and judging the threshold range of the information according to the triaxial data information in the step S2; s4: setting sensitivity according to the threshold range in step S3; s5: determining the sensitivity, namely acquiring XYZ triaxial data of an acceleration sensor after the system is electrified and operated to judge the placing inclination angle of the float so as to determine the sensitivity corresponding to the electrification; the ground inclination angle and the movement condition of the float are monitored by continuously reading XYZ triaxial data of the acceleration sensor, and the optimal reference zero point is obtained in real time in a dynamic tracking mode; the method can be self-adaptive and solve the problem of poor consistency of the acceleration sensor or poor installation of the float circuit board.
Description
Technical Field
The invention belongs to the technical field of electronic floats, and particularly relates to a vibration induction color-changing float algorithm.
Background
The fishing float is a tool for the information reaction of fish biting when fishing. People can judge the eating condition of the fish through the action of the float so as to determine the timing of lifting the rod, and can judge what fish is biting the hook through the action of the float.
Therefore, the float is an important link for harvesting the fish. The multi-purpose lighter material preparation of float forms, and present float is mostly chemical, or makes with feather, timber, the bamboo timber of birds, and the performance respectively differs, and the shape is more diversified. According to the difference of self-weight and buoyancy of the float, the float can be divided into a hollow float and a solid float. The hollow float has small self weight, large buoyancy and sensitive reaction; the solid float has good stability but is not sensitive. The float can be divided into a horizontal float and a vertical float according to the shape of the float. The lying float is a commonly-known seven-star float, when fishing, the particle float is scattered on the water surface, the sensitivity is high, the vibration is small when the rod is lifted, but the lying float is not suitable for fishing when the wind and the waves are large. The vertical float is a float which is vertically arranged in water, and is commonly in a rod shape, a cone shape, a round shape, a gyro shape and the like. In order to improve the fishing accuracy, the electronic float is produced, and the electronic float is an important tool for the information response of the fish biting the hook during fishing. People can judge the eating condition of fishes through the action of the electronic float so as to determine the timing of lifting the rod, and can judge whether fishes are hooked or not through the action of the electronic float. Therefore, the electronic buoy is an important link for fishing to harvest good and bad.
In the prior art, a swim bladder vibration sensing discoloration method generally uses a speed sensor as three-axis data as reference to judge whether a fish bites a hook, but the method has the following defects:
1) the reference zero point is artificially preset and unchangeable, and considering that the data of three shafts of the acceleration sensors are inconsistent when each acceleration sensor is positioned at the reference zero point due to process and batch problems, the sensitivity of each float is inconsistent when the vibration sensing color-changing floats are produced in batch, the inclination angle of the floats is judged to be deviated, and the floats can not work normally when the deviation of individual sensors is too large.
2) The influence of the acceleration sensor like 1) is also generated by the incorrect angle when the circuit board is installed, which leads to the incorrect position of the acceleration sensor.
3) The sensitivity can not be switched according to the fishing scene and the target fish of the user, so that the user experience is not good.
The existence of these defects will reduce the production yield and increase the production cost. The user experience is not too good.
Disclosure of Invention
The embodiment of the invention provides a vibration sensing color-changing float algorithm, which can simultaneously simulate and generate various different electrical signals by one device, has simple and convenient debugging process, and can simulate and generate the electrical signals meeting the requirements by modifying corresponding parameters through a computer.
The embodiment of the invention is realized in such a way that the vibration sensing color-changing float algorithm comprises the following steps:
s1: electrifying to supply power to the acceleration sensor of the float;
s2: acquiring sensor information, and reading XYZ triaxial data information of the sensor;
s3: analyzing the sensor data, and judging the threshold range of the information according to the triaxial data information in the step S2;
s4: setting sensitivity according to the threshold range in step S3;
s5: determining the sensitivity, namely acquiring XYZ triaxial data of an acceleration sensor after the system is electrified and operated to judge the placing inclination angle of the float so as to determine the sensitivity corresponding to the electrification;
s6: the dynamic tracking determines the acceleration reference zero.
As a preferred embodiment of the present invention, wherein the step S3 analyzes the sensor data, three thresholds, threshold 1, threshold 2 and threshold 3, are divided according to the XYZ axis data.
As a preferred embodiment of the present invention, the threshold values respectively correspond to data of:
threshold 1 is the three-axis data of the acceleration sensor when vertically placed,
threshold 2 is the three-axis data of the acceleration sensor when horizontally placed in the lateral direction,
the threshold 3 is three-axis data of the acceleration sensor when placed vertically downward.
In a preferred embodiment of the present invention, the threshold 1, the threshold 2, and the threshold 3 correspond to sensitivity 1, sensitivity 2, and sensitivity 3, respectively.
As a preferred embodiment of the present invention, the step S6 dynamically tracks and determines the acceleration reference zero point in the following detailed steps:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: judging whether the float is placed in the forward direction and the inclination angle is within the threshold range;
s6.3, judging whether the triaxial data fluctuate in a small range or not;
s6.4, successfully judging that the counter of the static counter of the floating body is added with 1 every time, and resetting the counter and executing a hook-biting algorithm if the counter fails;
s6.5, updating current triaxial data into a triaxial initial value;
s6.6 executes the bite-hook algorithm.
As a preferred embodiment of the present invention, wherein the detailed step of step S6.2 is as follows:
judging whether the float is placed in the forward direction and the inclination angle is within a threshold range, if not, executing a biting algorithm;
and (4) judging whether the float is placed in the positive direction and the inclination angle is within the threshold range, and if so, performing the step S6.3.
As a preferred embodiment of the present invention, wherein the detailed step of step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, resetting the counter and executing a hook algorithm;
if so, go to step S6.4.
As a preferred embodiment of the present invention, wherein, the detailed step of step S6.4 is as follows:
judging whether the timer exceeds a Threshold range, namely, the counter > Threshold;
if the requirement is not met, executing a bite-hook algorithm;
if the requirements are met, step S6.5 is performed.
As a preferred embodiment of the invention, wherein the X-Threshold, Y-Threshold and Z-Threshold are used, the data is the three-axis data fluctuation Threshold of the float.
As a preferred embodiment of the invention, the counter is a timer, and the Threshold is a floating body stationary time Threshold range.
The invention has the beneficial effects that: the ground inclination angle and the movement condition of the float are monitored by continuously reading XYZ triaxial data of the acceleration sensor, and the optimal reference zero point is obtained in real time in a dynamic tracking mode; the method can be self-adaptive and solve the problem of poor consistency of the acceleration sensor or poor installation of the float circuit board; a plurality of thresholds are set in the algorithm, and dynamic tracking is triggered only when certain conditions are met, so that the accuracy of the float algorithm is improved; the way that the float sensitivity can be switched when the float is electrified at different angles.
Drawings
FIG. 1 is a block diagram of a method for a vibration-induced color-changing float algorithm
FIG. 2 is a schematic block diagram of an embodiment of a vibration sensing color-changing float algorithm of the present invention;
FIG. 3 is a schematic block diagram of a second embodiment of the vibration sensing color-changing float algorithm of the present invention;
FIG. 4 is a block diagram of a detailed procedure of step S6 of the vibration sensing color-changing float algorithm for dynamically tracking and determining the acceleration reference zero point according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention adopts the electrification to detect the inclination angle of the float to the ground to determine the sensitivity corresponding to the electrification, and realizes the sensitivity adjustment under the condition of not increasing any cost; the reference zero point of the dynamic tracking acceleration sensor is adopted, so that the float is always in the best reference zero point, the sensitivity and inclination angle judgment are improved, and the problem that the sensor is poor in consistency or the circuit board is abnormal in sensitivity and even cannot be colored due to biting caused by incorrect angles is effectively solved.
A vibration sensing color-changing float algorithm comprises the following steps:
s1: electrifying, and supplying power to an acceleration sensor of the float;
s2: acquiring sensor information, and reading XYZ triaxial data information of a sensor, wherein the sensor triaxial acceleration sensor can be a piezoresistive type, a piezoelectric type and a capacitance type;
s3: analyzing the sensor data, and judging the threshold range of the information according to the triaxial data information in the step S2;
s4: setting sensitivity according to the threshold range in step S3;
s5: determining the sensitivity, namely acquiring XYZ three-axis data of an acceleration sensor after the system is electrified and operates to judge the placing inclination angle of the float so as to determine the sensitivity corresponding to the electrification at this time;
s6: the dynamic tracking determines the acceleration reference zero.
In this embodiment, the step S3 analyzes the sensor data, and divides three thresholds, namely, threshold 1, threshold 2, and threshold 3, according to the XYZ axis data. (ii) a
Three threshold settings are advantageous for determining different sensor sensitivities.
In this solution, the threshold values respectively correspond to data:
threshold 1 is the three-axis data of the acceleration sensor when vertically placed,
threshold 2 is the three-axis data of the acceleration sensor when horizontally placed in the lateral direction,
the threshold 3 is triaxial data of the acceleration sensor when vertically placed downwards, and the thresholds in the three directions are distinguished respectively, so that the state of the sensor can be judged conveniently, and the judgment accuracy is improved.
In the scheme, the threshold 1, the threshold 2 and the threshold 3 respectively correspond to the sensitivity 1, the sensitivity 2 and the sensitivity 3, and three sensitivities are preset, so that different fishing occasions and fishing types can be set respectively.
In this embodiment, the step S6 dynamically tracks and determines the acceleration reference zero point as follows:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: judging whether the float is placed in the forward direction and the inclination angle is within the threshold range;
s6.3, judging whether the triaxial data fluctuate in a small range or not, wherein the step is mainly used for judging whether the floating body is static or not;
s6.4, successfully judging that the counter of the float body static state is added with 1 every time, if the counter fails, resetting the counter and executing a hook-biting algorithm, wherein the main purpose is to judge that the float body is static for more than a certain time;
s6.5, updating the current triaxial data into a triaxial initial value;
s6.6 executes the bite-hook algorithm.
In this embodiment, the step S6.2 includes the following steps:
judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, if not, executing a biting algorithm;
and (4) judging whether the float is placed in the positive direction and the inclination angle is within the threshold range, and if so, performing the step S6.3.
In this embodiment, the detailed step of step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, resetting the counter and executing a hook algorithm;
if so, go to step S6.4.
In this embodiment, the step S6.4 is detailed as follows:
judging whether the timer exceeds a Threshold range, namely, the counter > Threshold;
if the requirement is not met, executing a bite-hook algorithm;
if the requirements are met, step S6.5 is performed.
In the scheme, the data of the X-Threshold, the Y-Threshold and the Z-Threshold are three-axis data fluctuation thresholds of the float, wherein the fluctuation thresholds are used for judging the current float state.
In the scheme, the counter is a timer, and the Threshold is a floating body stationary time Threshold range.
Example one
Referring to fig. 1, a vibration sensing color-changing float algorithm includes the following steps:
s1: electrifying, and supplying power to an acceleration sensor of the float;
s2: acquiring sensor information, and reading XYZ triaxial data information of the sensor;
s3: analyzing sensor data, judging a threshold range of the information according to the triaxial data information in step S2, in step S3, analyzing the sensor data, and dividing three thresholds, namely threshold 1, threshold 2 and threshold 3, according to XYZ axial data, wherein the thresholds respectively correspond to data:
threshold 1 is the three-axis data of the acceleration sensor when vertically placed,
threshold 2 is the three-axis data of the acceleration sensor when horizontally placed in the lateral direction,
the threshold 3 is triaxial data of the acceleration sensor when the acceleration sensor is placed vertically downwards;
s4: setting sensitivity according to the threshold range in step S3, wherein the threshold 1, the threshold 2 and the threshold 3 correspond to the sensitivity 1, the sensitivity 2 and the sensitivity 3 respectively;
s5: determining the sensitivity, namely acquiring XYZ triaxial data of an acceleration sensor after the system is electrified and operated to judge the placing inclination angle of the float so as to determine the sensitivity corresponding to the electrification;
s6: the dynamic tracking determines the acceleration reference zero.
The working principle is that the placing inclination angle of the float is divided into three types, namely vertical upward placing, horizontal placing and vertical downward placing. The method comprises the steps of presetting that three-axis data of an acceleration sensor is in a threshold range 1 when the acceleration sensor is vertically placed, three-axis data of the acceleration sensor is in a threshold range 2 when the acceleration sensor is horizontally placed, three-axis data of the acceleration sensor is in a threshold range 3 when the acceleration sensor is vertically placed downwards, (the three threshold ranges all consider the condition that the direction is not in a small range), firstly obtaining XYZ three-axis data of the acceleration sensor after a system is powered on to operate, and judging the placing inclination angle of a float, so that the sensitivity corresponding to the power-on is determined.
Example two
Referring to fig. 2-4, in a vibration sensing color-changing float algorithm, the step S6 dynamically tracks and determines the acceleration reference zero point in the following detailed steps:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: and (3) judging whether the float is placed in the positive direction and the inclination angle is within the threshold range, wherein the step S6.2 comprises the following detailed steps:
judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, if not, executing a biting algorithm;
the working principle is as follows: monitoring the ground inclination angle and the movement condition of the float by continuously reading XYZ three-axis data of the acceleration sensor; when the float is monitored to be in a vertical upward state, namely the three-axis data of the float stably meet the threshold value, the float has no problem, and the best performance can be realized by taking the three-axis data of the float after entering water as a reference point.
EXAMPLE III
Referring to fig. 2-4, in a vibration sensing color-changing float algorithm, the step S6 dynamically tracks and determines the acceleration reference zero point in detail as follows:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: and (3) judging whether the float is placed in the positive direction and the inclination angle is within the threshold range, wherein the step S6.2 comprises the following detailed steps:
judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, if so, performing the step S6.3;
s6.3, judging whether the triaxial data is fluctuated in a small range, wherein the detailed step of the step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, resetting the counter and executing a hook algorithm;
the working principle is as follows: monitoring the ground inclination angle and the movement condition of the float by continuously reading XYZ triaxial data of the acceleration sensor; when the condition that the float is in a vertical upward state and has a certain error is monitored, but the error range meets the composite requirement, namely the data is still normal after the float is in a static state and keeps static for a period of time, and the best performance can be realized by taking the triaxial data of the float after entering water as a reference point.
Example four
Referring to fig. 2-4, in a vibration sensing color-changing float algorithm, the step S6 dynamically tracks and determines the acceleration reference zero point in detail as follows:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: judging whether the float is placed in the positive direction and the inclination angle is in the threshold range,
judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, if so, performing the step S6.3;
s6.3, judging whether the triaxial data is fluctuated in a small range, wherein the detailed step of the step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if yes, performing step S6.4;
s6.4, successfully judging that the counter of the static counter of the floating body is added with 1 each time, if the counter fails, resetting the counter and executing a hook-biting algorithm, wherein the step S6.4 comprises the following detailed steps:
judging whether the timer exceeds a Threshold range, namely, the counter > Threshold;
if the requirement is not met, executing a biting and hooking algorithm;
in the scheme, the counter is a timer, and the Threshold is a floating body stationary time Threshold range.
The working principle is as follows: monitoring the ground inclination angle and the movement condition of the float by continuously reading XYZ triaxial data of the acceleration sensor; when the float is monitored to be in a vertically upward state, certain errors exist, and the float is in a static state and keeps static for a period of time, the azimuth judgment error caused by poor sensor consistency is prevented, and therefore the best performance is obtained.
EXAMPLE five
Referring to fig. 2-4, in a vibration sensing color-changing float algorithm, the step S6 dynamically tracks and determines the acceleration reference zero point in detail as follows:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: judging whether the float is placed in the forward direction and the inclination angle is within a threshold range, judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, and if so, performing the step S6.3;
s6.3, judging whether the triaxial data is fluctuated in a small range, wherein the detailed step of the step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if yes, performing step S6.4;
s6.4, successfully judging that the counter of the static counter of the floating body is added with 1 each time, if the counter fails, resetting the counter and executing a hook-biting algorithm, wherein the step S6.4 comprises the following detailed steps:
judging whether the timer exceeds a Threshold range, namely, the counter > Threshold;
if the requirements are met, step S6.5 is performed.
S6.5, updating the current triaxial data into a triaxial initial value;
s6.6 executes the bite-hook algorithm.
In the scheme, the counter is a timer, and the Threshold is a floating body stationary time Threshold range.
The working principle is as follows: monitoring the ground inclination angle and the movement condition of the float by continuously reading XYZ triaxial data of the acceleration sensor; when the float is monitored to be in a vertically upward state, enough inclination angle allowance is reserved, azimuth judgment errors caused by poor sensor consistency or incorrect circuit board installation are filtered, and after the float is in a static state and keeps static for a period of time, XYZ three-axis data of the acceleration sensor at the moment are read as a reference zero point; thus, the optimal reference zero point can be always obtained after the fish floats into water, and the optimal performance is realized.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (10)
1. The utility model provides a vibrations response chameleon float algorithm which characterized in that includes the following step:
s1: electrifying, and supplying power to an acceleration sensor of the float;
s2: acquiring sensor information, and reading XYZ triaxial data information of the sensor;
s3: analyzing the sensor data, and judging the threshold range of the information according to the triaxial data information in the step S2;
s4: setting sensitivity according to the threshold range in step S3;
s5: determining the sensitivity, namely acquiring XYZ three-axis data of an acceleration sensor after the system is electrified and operates to judge the placing inclination angle of the float so as to determine the sensitivity corresponding to the electrification at this time;
s6: the dynamic tracking determines the acceleration reference zero.
2. The vibration-induced color-changing fishing float algorithm of claim 1, wherein the step S3 analyzes the sensor data and divides three thresholds, threshold 1, threshold 2 and threshold 3, according to the XYZ axis data.
3. The vibration-induced color-changing fishing float algorithm according to claim 2, wherein the threshold values respectively correspond to data:
threshold 1 is the three-axis data of the acceleration sensor when vertically placed,
threshold 2 is the three-axis data of the acceleration sensor when horizontally placed in the lateral direction,
the threshold 3 is three-axis data of the acceleration sensor when placed vertically downward.
4. The shock-sensitive color-changing fishing float algorithm according to claim 3, wherein the threshold 1, the threshold 2 and the threshold 3 correspond to the sensitivity 1, the sensitivity 2 and the sensitivity 3, respectively.
5. The vibration-sensing color-changing fishing float algorithm according to claim 1, wherein the step S6 dynamically tracks the detailed steps of determining the acceleration reference zero point as follows:
s6.1: initializing a three-axis initial value when the preset float is vertical in the forward direction by a program;
s6.2: judging whether the float is placed in the forward direction and the inclination angle is within the threshold range;
s6.3, judging whether the triaxial data fluctuate in a small range or not;
s6.4, successfully judging that the counter of the floating body static counter is added with 1 each time, and resetting the counter and executing a hook-in algorithm if the counter fails;
s6.5, updating the current triaxial data into a triaxial initial value;
s6.6 executes the bite-hook algorithm.
6. The vibration-induced color-changing fishing float algorithm according to claim 5, wherein the detailed step of the step S6.2 is as follows:
judging whether the float is placed in the forward direction and the inclination angle is within the threshold range, if not, executing a biting algorithm;
and (4) judging whether the float is placed in the positive direction and the inclination angle is within the threshold range, and if so, performing the step S6.3.
7. The vibration-induced color-changing fishing float algorithm according to claim 5, wherein the detailed step of step S6.3 is as follows:
judging whether the triaxial data meet the conditions:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, resetting the counter and executing a hook algorithm;
if so, go to step S6.4.
8. The vibration-induced color-changing fishing float algorithm according to claim 5, wherein the detailed step of the step S6.4 is as follows:
judging whether the timer exceeds a Threshold range, namely counter > Threshold;
if the requirement is not met, executing a biting and hooking algorithm;
if the requirements are met, step S6.5 is performed.
9. The vibration-induced discoloration fishing float algorithm of claim 7, wherein said X-Threshold, Y-Threshold, Z-Threshold, data is a three-axis data fluctuation Threshold of the fishing float.
10. The vibration-induced color-changing fishing float algorithm according to claim 7, wherein the counter is a timer, and the Threshold is a Threshold range of the static time of the float.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105117966A (en) * | 2015-07-20 | 2015-12-02 | 上海海洋大学 | Fish hook biting behavior recording device based on multi-axis acceleration sensor |
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| CN115104582B (en) | 2024-01-12 |
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