CN115104582B - Vibration induction color-changing fishing float algorithm - Google Patents
Vibration induction color-changing fishing float algorithm Download PDFInfo
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; 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
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Abstract
The invention is applicable to the technical field of electronic fishing floats, and provides a vibration induction color-changing fishing float algorithm, which comprises the following steps: s1: powering up to supply power to the acceleration sensor of the fishing float; s2: acquiring sensor information and reading XYZ three-axis data information of a 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 the step S3; s5: after the system is powered on and runs, firstly, the XYZ three-axis data of the acceleration sensor are obtained to judge the placing inclination angle of the float, so that the sensitivity corresponding to the current power on is determined; the dip angle to the ground and the motion condition of the fishing float are monitored by continuously reading XYZ three-axis data of an acceleration sensor, and an optimal reference zero point is obtained in real time in a dynamic tracking mode; the problem that the consistency of the acceleration sensor is poor or the installation of the float circuit board is not correct can be self-adaptive and solved.
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 float is a tool for the message reaction of the fish biting during fishing. People can judge the eating condition of the fish through the action of the fishing float, so as to determine the time for lifting the rod, and can judge what fish is biting through the action of the fishing float.
So the fishing float is an important link for harvesting good or bad fishing. The fishing floats are made of light materials, most of the existing fishing floats are chemical products, or are made of feathers, wood and bamboo of birds, and the fishing floats have different properties and various shapes. According to the dead weight and buoyancy of the float, it can be divided into hollow floats and solid floats. The hollow float has small dead weight, large buoyancy and sensitive reaction; solid floats are stable but less sensitive. According to the shape of the float, it can be divided into horizontal float and vertical float. The horizontal float is a commonly-called seven-star float, a plurality of floats are scattered on the water surface during fishing, the sensitivity is high, the vibration is small during rod raising, and the horizontal float is not suitable for fishing when the wind wave is large. The vertical float is a fish float vertically standing in water, and is commonly in a rod shape, a cone shape, a round shape, a top shape and the like. In order to improve the accuracy of fishing, electronic floats are an important tool for the information reaction of fish biting during fishing. People can judge the eating condition of the fish through the action of the electronic buoy, so that the rod lifting time is determined, and whether the fish is hooked or not can be judged through the action of the electronic buoy. Therefore, the electronic float is an important link for harvesting fishing.
In the prior art, the swimming bladder vibration induction color-changing method generally judges whether the fish bites or not by taking a speed sensor as triaxial data as a reference, but the method has the following defects:
1) The reference zero point is artificially preset and cannot be changed, and considering that three-axis data of each acceleration sensor are inconsistent when each acceleration sensor is at the reference zero point due to process and batch problems, the sensitivity of each float is inconsistent when vibration induction color-changing floats are produced in batches, the inclination angle of the floats is judged to be deviated, and the floats cannot work normally when the deviation of individual sensors is too large.
2) The influence similar to 1) can be generated due to the fact that the position of the acceleration sensor is not correct due to the fact that the angle is not correct when the circuit board is installed.
3) The user experience is poor because the sensitivity can not be switched according to the fishing scene of the user and the target fish.
The existence of the defects can reduce the production yield of the product and increase the production cost. The user experience is not so good.
Disclosure of Invention
The embodiment of the invention provides a vibration induction color-changing float algorithm, which can be used for simultaneously generating multiple different electrical signals in a simulation way by one device, has simple debugging process and can be used for generating the electrical signals meeting the requirements in a simulation way by modifying corresponding parameters by a computer.
The embodiment of the invention is realized in such a way that a vibration sensing color-changing fishing float algorithm comprises the following steps:
s1: powering up to supply power to the acceleration sensor of the fishing float;
s2: acquiring sensor information and reading XYZ three-axis data information of a 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 the step S3;
s5: after the system is powered on and runs, firstly, the XYZ three-axis data of the acceleration sensor are obtained to judge the placing inclination angle of the float, so that the sensitivity corresponding to the current power on is determined;
s6: dynamic tracking determines an acceleration reference zero.
As a preferred embodiment of the present invention, the step S3 analyzes the sensor data, and divides three thresholds, namely, threshold 1, threshold 2 and threshold 3, according to XYZ axis data.
As a preferred embodiment of the present invention, the threshold values respectively correspond to data as follows:
the threshold 1 is the triaxial data of the acceleration sensor when placed vertically,
the threshold 2 is the triaxial data of the acceleration sensor when placed horizontally in the transverse direction,
the threshold 3 is triaxial 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 a sensitivity 1, a sensitivity 2, and a sensitivity 3, respectively.
As a preferred embodiment of the present invention, the step S6 dynamically tracks and determines the detailed steps of the acceleration reference zero point as follows:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range;
s6.3, judging whether the triaxial data is in small-range fluctuation or not;
s6.4, successfully judging that the counter of the float static counter is added with 1 each time, and clearing the counter and executing a biting algorithm if the counter fails;
s6.5, the current triaxial data is updated into triaxial initial values;
and S6.6, executing a biting algorithm.
As a preferred embodiment of the present invention, the step S6.2 is as follows:
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if not, executing a biting algorithm;
and judging whether the float is placed forward or not and the inclination angle is within a threshold range, and if so, performing the step S6.3.
As a preferred embodiment of the present invention, the step S6.3 is as follows:
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, clearing the counter and executing a biting algorithm;
if so, step S6.4 is performed.
As a preferred embodiment of the present invention, the step S6.4 is as follows:
judging whether the timer exceeds a Threshold range, namely counter > Threshold;
if the requirements are not met, executing a biting algorithm;
if the requirements are met, step S6.5 is performed.
As a preferred embodiment of the invention, the X-Threshold, Y-Threshold and Z-Threshold are three-axis data fluctuation thresholds of the float.
As a preferred embodiment of the present invention, the counter is a timer, and the Threshold is a drift rest time Threshold range.
The invention has the beneficial effects that: the dip angle to the ground and the motion condition of the fishing float are monitored by continuously reading XYZ three-axis data of an acceleration sensor, and an optimal reference zero point is obtained in real time in a dynamic tracking mode; the problems caused by poor consistency of the acceleration sensor or incorrect installation of the float circuit board can be self-adaptive and solved; the algorithm is provided with a plurality of thresholds, and dynamic tracking is triggered only when certain conditions are met, so that the accuracy of the float algorithm is improved; the float is powered on at different angles to switch the sensitivity of the float.
Drawings
FIG. 1 is a block diagram of a vibration-induced color-changing float algorithm according to the present invention
FIG. 2 is a schematic block diagram of an embodiment of a vibration induced color shifting float algorithm according to the present invention;
FIG. 3 is a schematic block diagram of a second embodiment of a vibration-induced color-changing float algorithm according to the present invention;
fig. 4 is a block diagram of a method for dynamically tracking the detailed step of determining the acceleration reference zero point in step S6 of the vibration sensing color-changing float algorithm of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention adopts the power-on detection float to ground dip angle to determine the sensitivity corresponding to the power-on, and realizes the adjustable sensitivity without increasing any cost; the dynamic tracking acceleration sensor is adopted to reference the zero point, so that the float is always at the optimal reference zero point, the sensitivity and the inclination angle judgment are improved, and the problems of poor sensor consistency or abnormal sensitivity and even no color change caused by biting of a circuit board according to an abnormal angle are effectively solved.
A vibration-induced color-changing fishing float algorithm, comprising the steps of:
s1: powering up to supply power to the acceleration sensor of the fishing float;
s2: acquiring sensor information, and reading XYZ three-axis data information of a sensor, wherein the sensor three-axis acceleration sensor can be piezoresistive, piezoelectric and capacitive;
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 the step S3;
s5: after the system is powered on and runs, firstly, the XYZ three-axis data of the acceleration sensor are obtained to judge the placing inclination angle of the float, so that the sensitivity corresponding to the current power on is determined;
s6: dynamic tracking determines an acceleration reference zero.
In this scheme, the step S3 analyzes the sensor data, and divides three thresholds, namely, threshold 1, threshold 2 and threshold 3, according to XYZ axis data. The method comprises the steps of carrying out a first treatment on the surface of the
Three threshold settings are useful for determining different sensor sensitivities.
In this scheme, the threshold corresponds to data:
the threshold 1 is the triaxial data of the acceleration sensor when placed vertically,
the threshold 2 is the triaxial data of the acceleration sensor when placed horizontally in the transverse direction,
the threshold 3 is triaxial data of the acceleration sensor when the sensor is placed vertically downwards, and the thresholds in the three directions are distinguished respectively, so that the sensor state can be judged, and the judgment accuracy is improved.
In the scheme, the threshold value 1, the threshold value 2 and the threshold value 3 respectively correspond to the sensitivity 1, the sensitivity 2 and the sensitivity 3, and the three sensitivities are preset, so that the setting of different fishing occasions and fishing types is facilitated.
In this scheme, the step S6 dynamically tracks and determines the detailed steps of the acceleration reference zero point as follows:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range;
s6.3, judging whether triaxial data are in small-range fluctuation 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 is added with 1 each time, clearing the counter and executing a biting algorithm if the counter fails, and mainly aiming at judging that the float body is static for more than a certain time;
s6.5, the current triaxial data is updated into triaxial initial values;
and S6.6, executing a biting algorithm.
In this scheme, the detailed steps of step S6.2 are as follows:
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if not, executing a biting algorithm;
and judging whether the float is placed forward or not and the inclination angle is within a threshold range, and if so, performing the step S6.3.
In this scheme, the detailed steps of step S6.3 are as follows:
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, clearing the counter and executing a biting algorithm;
if so, step S6.4 is performed.
In this scheme, the detailed steps of step S6.4 are as follows:
judging whether the timer exceeds a Threshold range, namely counter > Threshold;
if the requirements are not met, executing a biting algorithm;
if the requirements are met, step S6.5 is performed.
In the scheme, the data are three-axis data fluctuation thresholds of the float, wherein the fluctuation thresholds are used for judging the current float state.
In this scheme, the counter is a timer, and the Threshold is a drift rest time Threshold range.
Example 1
Referring to fig. 1, a vibration sensing color-changing fishing float algorithm comprises the following steps:
s1: powering up to supply power to the acceleration sensor of the fishing float;
s2: acquiring sensor information and reading XYZ three-axis data information of a sensor;
s3: analyzing sensor data, judging the threshold range of information according to the triaxial data information in the step S2, wherein the step S3 analyzes the sensor data, and divides three thresholds according to XYZ axis data into a threshold 1, a threshold 2 and a threshold 3 respectively, and the thresholds respectively correspond to the data:
the threshold 1 is the triaxial data of the acceleration sensor when placed vertically,
the threshold 2 is the triaxial data of the acceleration sensor when placed horizontally in the transverse direction,
the threshold 3 is triaxial data of the acceleration sensor when placed vertically downwards;
s4: setting sensitivity, namely setting the sensitivity according to the threshold range in the 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: after the system is powered on and runs, firstly, the XYZ three-axis data of the acceleration sensor are obtained to judge the placing inclination angle of the float, so that the sensitivity corresponding to the current power on is determined;
s6: dynamic tracking determines an acceleration reference zero.
The working principle is that the placing angle of the fishing float is divided into three types, namely vertical upwards placing, horizontal placing and vertical downwards placing. The three-axis data of the acceleration sensor is in a threshold range 1 when the system is vertically placed, the three-axis data of the acceleration sensor is in a threshold range 2 when the system is horizontally placed, the three-axis data of the acceleration sensor is in a threshold range 3 when the system is vertically and downwardly placed, (the three threshold ranges are all considered under the condition of small-range misalignment), the XYZ three-axis data of the acceleration sensor is firstly obtained after the system is powered on and operated to judge the placing dip angle of the float, and therefore the sensitivity corresponding to the power on is determined.
Example two
Referring to fig. 2-4, a vibration sensing color-changing float algorithm, the step S6 of dynamically tracking and determining the acceleration reference zero comprises the following detailed steps:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range, wherein the step S6.2 comprises the following detailed steps:
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if not, executing a biting algorithm;
working principle: the dip angle to the ground and the movement condition of the fishing float are monitored by continuously reading XYZ three-axis data of the acceleration sensor; when the float is in a vertical upward state, namely the three-axis data of the float stably meets the threshold value, the float has no problem, and the three-axis data of the float after entering water is used as a reference point, so that the optimal performance can be realized.
Example III
Referring to fig. 2-4, a vibration sensing color-changing float algorithm, the step S6 of dynamically tracking and determining the acceleration reference zero comprises the following detailed steps:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range, wherein the step S6.2 comprises the following detailed steps:
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if so, performing a step S6.3;
s6.3 judging whether the triaxial data is in a small range fluctuation or not, wherein the step S6.3 comprises the following steps:
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, clearing the counter and executing a biting algorithm;
working principle: the dip angle to the ground and the movement condition of the fishing float are monitored by continuously reading XYZ three-axis data of the acceleration sensor; when the float is in a vertical upward state and has certain errors, the error range meets the requirement that the data is still normal after the float is in a static state and is kept static for a period of time, and the three-axis data after the float enters water is used as a reference point, so that the optimal performance can be realized.
Example IV
Referring to fig. 2-4, a vibration sensing color-changing float algorithm, the step S6 of dynamically tracking and determining the acceleration reference zero comprises the following detailed steps:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range,
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if so, performing a step S6.3;
s6.3 judging whether the triaxial data is in a small range fluctuation or not, wherein the step S6.3 comprises the following steps:
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta Zdata<Z-Threshold；
if yes, step S6.4 is carried out;
s6.4, successfully judging that the counter of the float static counter is added with 1 each time, clearing the counter and executing a biting algorithm if the counter fails, wherein the step S6.4 comprises the following detailed steps:
judging whether the timer exceeds a Threshold range, namely counter > Threshold;
if the requirements are not met, executing a biting algorithm;
in this scheme, the counter is a timer, and the Threshold is a drift rest time Threshold range.
Working principle: the dip angle to the ground and the movement condition of the fishing float are monitored by continuously reading XYZ three-axis data of the acceleration sensor; when the float is in a vertical upward state, a certain error exists, and after the float is in a static state and is kept static for a period of time, the azimuth judgment error caused by poor sensor consistency is prevented, so that the optimal performance is obtained.
Example five
Referring to fig. 2-4, a vibration sensing color-changing float algorithm, the step S6 of dynamically tracking and determining the acceleration reference zero comprises the following detailed steps:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward and the inclination angle is within a threshold range, judging whether the float is placed forward 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 in a small range fluctuation or not, wherein the step S6.3 comprises the following steps:
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if yes, step S6.4 is carried out;
s6.4, successfully judging that the counter of the float static counter is added with 1 each time, clearing the counter and executing a biting algorithm if the counter fails, wherein the step S6.4 comprises the following detailed steps:
judging whether the timer exceeds a Threshold range, namely counter > Threshold;
if the requirements are met, step S6.5 is performed.
S6.5, the current triaxial data is updated into triaxial initial values;
and S6.6, executing a biting algorithm.
In this scheme, the counter is a timer, and the Threshold is a drift rest time Threshold range.
Working principle: the dip angle to the ground and the movement condition of the fishing float are monitored by continuously reading XYZ three-axis data of the acceleration sensor; when the float is in a vertical upward state, reserving enough inclination angle allowance, filtering azimuth judgment errors caused by poor sensor consistency or improper installation of a circuit board, and reading XYZ three-axis data of the acceleration sensor as a reference zero point after the float is in a static state and is kept static for a period of time; thus, the best reference zero point can be obtained after the fish floats are immersed in water, and the best performance is realized.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (4)
1. The vibration induction color-changing fishing float algorithm is characterized by comprising the following steps of:
s1: powering up to supply power to the acceleration sensor of the fishing float;
s2: acquiring sensor information and reading XYZ three-axis data information of a 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 the step S3;
s5: after the system is powered on and runs, firstly, the XYZ three-axis data of the acceleration sensor are obtained to judge the placing inclination angle of the float, so that the sensitivity corresponding to the current power on is determined;
s6: dynamically tracking and determining an acceleration reference zero point;
the step S6 comprises the following detailed steps of dynamically tracking and determining the acceleration reference zero point:
s6.1: initializing a program to preset a triaxial initial value when the float is vertical in the forward direction;
s6.2: judging whether the float is placed forward or not and the inclination angle is within a threshold range;
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if not, executing a biting algorithm;
judging whether the float is placed forward or not and the inclination angle is within a threshold range, if so, performing a step S6.3;
s6.3, judging whether the triaxial data is in small-range fluctuation or not;
judging whether the triaxial data meets the condition:
Delta_Xdata<X-Threshold；
Delta_Ydata<Y-Threshold；
Delta_Zdata<Z-Threshold；
if not, clearing the counter and executing a biting algorithm;
if yes, step S6.4 is carried out;
s6.4, successfully judging that the counter of the float static counter is added with 1 each time, and clearing the counter and executing a biting algorithm if the counter fails;
judging whether the counter exceeds a Threshold range, namely counter > Threshold;
if the requirements are not met, executing a biting algorithm;
if the requirements are met, performing a step S6.5;
s6.5, the current triaxial data is updated into triaxial initial values;
s6.6, executing a biting algorithm;
X-Threshold, Y-Threshold and Z-Threshold, wherein the data are three-axis data fluctuation thresholds of the float; counter is a counter, and Threshold is a drift rest time Threshold range.
2. The vibration-induced color-changing float algorithm according to claim 1, wherein the step S3 analyzes the sensor data and divides three thresholds according to XYZ axis data, namely, threshold 1, threshold 2 and threshold 3.
3. The vibration-induced color-changing float algorithm of claim 2, wherein the threshold values correspond to data:
the threshold 1 is the triaxial data of the acceleration sensor when placed vertically,
the threshold 2 is the triaxial data of the acceleration sensor when placed horizontally in the transverse direction,
the threshold 3 is triaxial data of the acceleration sensor when placed vertically downward.
4. A vibration-induced color-changing float algorithm according to claim 3, wherein the threshold 1, threshold 2, and threshold 3 correspond to a sensitivity of 1, a sensitivity of 2, and a sensitivity of 3, respectively.
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| US10349646B2 (en) * | 2016-08-31 | 2019-07-16 | Intel Corporation | Float with fishing conditions detection |
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