CN107114323A - A kind of method that honeybee swarmming behavior is judged using temperature change - Google Patents
A kind of method that honeybee swarmming behavior is judged using temperature change Download PDFInfo
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- CN107114323A CN107114323A CN201610892234.0A CN201610892234A CN107114323A CN 107114323 A CN107114323 A CN 107114323A CN 201610892234 A CN201610892234 A CN 201610892234A CN 107114323 A CN107114323 A CN 107114323A
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- 241000256844 Apis mellifera Species 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 238000013461 design Methods 0.000 abstract description 2
- 241000264877 Hippospongia communis Species 0.000 abstract 3
- 238000001514 detection method Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 5
- 235000012907 honey Nutrition 0.000 description 2
- 102000002322 Egg Proteins Human genes 0.000 description 1
- 108010000912 Egg Proteins Proteins 0.000 description 1
- 238000009341 apiculture Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 229940088597 hormone Drugs 0.000 description 1
- 239000005556 hormone Substances 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 210000004681 ovum Anatomy 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 210000000952 spleen Anatomy 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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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
- A01K67/00—Rearing or breeding animals, not otherwise provided for; New or modified breeds of animals
- A01K67/033—Rearing or breeding invertebrates; New breeds of invertebrates
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Zoology (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses one kind, due to there is the activity before honeybee swarmming among honeycomb, the temperature of bee colony can be caused to rise, the design is exactly the characteristic risen using temperature, there is provided a smart temperature point, that is, swarmming early warning temperature threshold, it is most sensitive that its temperature change corresponds to temperature change in nest；Among multiple honeycombs of beehive structure, each honeycomb of correspondence sets two radio temperature sensor monitoring nodes, to realize accurate temperature detection；The acquisition of swarmming early warning temperature threshold carries out clustering acquisition using nest temperature change algorithm using K means methods, the temperature threshold collected to radio sensing network is compared with swarmming early warning temperature threshold, if temperature value is more than swarmming early warning temperature threshold, it can determine whether to there occurs swarmming behavior in nest.
Description
Technical field
One kind, which is specifically related to, the present invention relates to a kind of method for judging honeybee swarmming behavior judges honey using temperature change
The method of honeybee swarmming behavior.
Background technology
With in bee colony, individual propagation reaches after certain quantity that at this moment worker bee number is too many, causes honeycomb crowded.If
Without artificial expansion honeycomb, bee colony can only alleviate the crowded situation of honeycomb by swarmming.Swarmming is a kind of particular form
Breeding, for swarmming, can propose two kinds explanation：Honey is under production, has more honeycomb to be used as sub- spleen, and at this moment queen bee produces
Ovum increase, it is necessary to solved by swarmming；Or promote new queen bee to be born due to hormone, old queen bee is forced from nest.
Natural swarm is the sole mode of bee colony population augment, and bee keeper will pay larger cost in swarmming group is tracked down and arrested, together
When swarmming group fly away can bring larger economic loss to bee keeper.Therefore, devising herein a kind of by being arranged in beehive
The method of temperature monitoring point, judges swarmming behavior whether occurs in honeycomb, reduces swarmming loss.
The bee colony of many countries largely shunts from honeycomb at present, and the main cause for causing this phenomenon is temperature
Height, food deprivation, the change of pressure and humidity.Among various swarmming modes, there is the complete abandonment to honeycomb, thus can
Very big economic loss is caused to bee keeper.Among the various trials for mitigating these problems, we have proposed one kind monitoring
The system of honeycomb, the pre- swarmming behavior in honeycomb is recognized by a kind of wireless sensor network.Collected by a kind of pattern
Day normal temperature in honeybee cyclic behaviour honeycomb, we with reference to a kind of prediction algorithm based on mode identification technology, this
Algorithm can detect the temperature rising condition in honeycomb in the case where climax of swarming reaches typical pressure.This mechanism is also
It can recognize and avoid to send redundancy, radio communication be reduced, so as to reduce data transfer energy cost.
The content of the invention
The loss that the present invention is produced for the honeybee swarmming behavior that environmental factor and bee colony factor are caused, is supervised using temperature
Survey method contrasts to mitigate the loss that problems produce bee-keeper, and using wireless sensor network identification technology to temperature
It is monitored, is calculated using honeycomb temperature change algorithm, so accomplishes to be prevented effectively from the production economy loss that bee-keeping is brought.
A kind of method that honeybee swarmming behavior is judged using temperature change, this method specifically includes following steps：
Step one：Two temperature detecting points are disposed in each honeycomb honeycomb, are obtained 1 year by wireless temperature collecting device
In each 24 hours months honeycomb temperature data, and data per hour are averaged, the daily temperature variation data of composition to
AmountWherein n=24；
Step 2：K cluster center of mass point is randomly selected from daily temperature variation data vector set is
Step 3：The each sample x concentrated for data vector(i), calculate its distance for arriving each barycenter：
Step 4：Select wherein lowest distance value, and with the barycenter T corresponding to this valuejIt is used as sample xiBelonged to
Class, i.e.,：
Step 5：For each class, new barycenter is recalculated：
Wherein m is data set number, 1 { c(i)=j } it is indicator function, show vector x(i)Corresponding barycenter is Tj。
Step 6：Three~step 5 of repeat step, until convergence, i.e., barycenter no longer changes；Obtain swarmming early warning temperature threshold
Value；
Step 7：Compared according to the daily temperature data currently gathered with swarmming early warning temperature threshold, if collect
Temperature value is more than swarmming early warning temperature threshold, so that it may judge that swarmming behavior occurs in nest.
The main beneficial effect of this technology：
The main contributions of this work are that the pre- behavior of swarmming under hot conditions is known using such a algorithm
Not, while carrying out swarmming monitoring using this algorithm, monitoring accuracy can be improved, mitigates workload, and can be using continuous
Monitoring system, can set up the database with real time information.By setting suitable temperature monitoring point in beehive, temperature is visited
The temperature value that head is collected is compared with swarmming early warning temperature threshold, thus judges swarmming behavior whether occurs in honeycomb, and
Mobile phone can be given a warning, the production loss for avoiding swarmming behavior to bring bee-keeper with this.This technology has design simultaneously
Rationally, simple to operate, reliability is high, efficiency high the advantages of.
Embodiment
A kind of method that honeybee swarmming behavior is judged using temperature change, this method specifically includes following steps：
Step one：Two temperature detecting points are disposed in each honeycomb honeycomb, are obtained 1 year by wireless temperature collecting device
In each 24 hours months honeycomb temperature data, and data per hour are averaged, the daily temperature variation data of composition to
AmountWherein n=24；
Step 2：K cluster center of mass point is randomly selected from daily temperature variation data vector set is
Step 3：The each sample x concentrated for data vector(i), calculate its distance for arriving each barycenter：
Step 4：Select wherein lowest distance value, and with the barycenter T corresponding to this valuejIt is used as sample xiBelonged to
Class, i.e.,：
Step 5：For each class, new barycenter is recalculated：
Wherein m is data set number, 1 { c(i)=j } it is indicator function, show vector x(i)Corresponding barycenter is Tj。
Step 6：Three~step 5 of repeat step, until convergence, i.e., barycenter no longer changes；Obtain swarmming early warning temperature threshold
Value；
Step 7：Compared according to the daily temperature data currently gathered with swarmming early warning temperature threshold, if collect
Temperature value is more than swarmming early warning temperature threshold, so that it may judge that swarmming behavior occurs in nest.
Claims (1)
1. a kind of method that honeybee swarmming behavior is judged using temperature change, it is characterised in that this method specifically includes following
Step：
Step one：Two temperature detecting points are disposed in each honeycomb honeycomb, it is every in being obtained 1 year by wireless temperature collecting device
The honeycomb temperature data in individual 24 hours months, and data per hour are averaged, constitute daily temperature variation data vectorWherein n=24；
Step 2：K cluster center of mass point is randomly selected from daily temperature variation data vector set is
Step 3：The each sample x concentrated for data vector(i), calculate its distance for arriving each barycenter：
<mrow>
<msubsup>
<mi>d</mi>
<mi>j</mi>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
<mo>:</mo>
<mo>=</mo>
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<mi>i</mi>
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</mrow>
</msup>
<mo>-</mo>
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<mi>T</mi>
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</msub>
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</msup>
<mo>,</mo>
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<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>k</mi>
</mrow>
Step 4：Select wherein lowest distance value, and with the barycenter T corresponding to this valuejIt is used as sample xiThe class belonged to, i.e.,：
<mrow>
<msup>
<mi>c</mi>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msup>
<mo>:</mo>
<mo>=</mo>
<munder>
<mi>argmin</mi>
<mi>j</mi>
</munder>
<mo>|</mo>
<mo>|</mo>
<msup>
<mi>x</mi>
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<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msup>
<mo>-</mo>
<msub>
<mi>T</mi>
<mi>j</mi>
</msub>
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<msup>
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<mn>2</mn>
</msup>
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<mi>j</mi>
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<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>k</mi>
</mrow>
Step 5：For each class, new barycenter is recalculated：
<mrow>
<msub>
<mi>T</mi>
<mi>j</mi>
</msub>
<mo>:</mo>
<mo>=</mo>
<mfrac>
<mrow>
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<mo>&Sigma;</mo>
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<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</msubsup>
<mn>1</mn>
<mo>{</mo>
<msup>
<mi>c</mi>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msup>
<mo>=</mo>
<mi>j</mi>
<mo>}</mo>
<msup>
<mi>x</mi>
<mrow>
<mo>(</mo>
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<mrow>
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<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
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</mrow>
<mi>m</mi>
</msubsup>
<mn>1</mn>
<mo>{</mo>
<msup>
<mi>c</mi>
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<mo>(</mo>
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<mo>)</mo>
</mrow>
</msup>
<mo>=</mo>
<mi>j</mi>
<mo>}</mo>
</mrow>
</mfrac>
</mrow>
Wherein m is data set number, 1 { c(i)=j } it is indicator function, show vector x(i)Corresponding barycenter is Tj；
Step 6：Three~step 5 of repeat step, until convergence, i.e., barycenter no longer changes；Obtain swarmming early warning temperature threshold；
Step 7：Compared according to the daily temperature data currently gathered with swarmming early warning temperature threshold, if the temperature collected
Value is more than swarmming early warning temperature threshold, so that it may judge that swarmming behavior occurs in nest.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610892234.0A CN107114323A (en) | 2016-10-13 | 2016-10-13 | A kind of method that honeybee swarmming behavior is judged using temperature change |
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| CN201610892234.0A CN107114323A (en) | 2016-10-13 | 2016-10-13 | A kind of method that honeybee swarmming behavior is judged using temperature change |
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| CN107114323A true CN107114323A (en) | 2017-09-01 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112544503A (en) * | 2020-11-26 | 2021-03-26 | 重庆邮电大学 | Monitoring and early warning system and method for intelligent beehive |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004010775A2 (en) * | 2002-07-30 | 2004-02-05 | The University Of Montana | Honey bee monitoring system for monitoring bee colonies in a hive |
| CN105028341A (en) * | 2015-08-14 | 2015-11-11 | 福建农林大学 | Bee swarming early-warning method |
-
2016
- 2016-10-13 CN CN201610892234.0A patent/CN107114323A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004010775A2 (en) * | 2002-07-30 | 2004-02-05 | The University Of Montana | Honey bee monitoring system for monitoring bee colonies in a hive |
| CN105028341A (en) * | 2015-08-14 | 2015-11-11 | 福建农林大学 | Bee swarming early-warning method |
Non-Patent Citations (2)
| Title |
|---|
| DOUGLAS S.KRIDI, ET AL: "A Predictive Algorithm for Mitigate Swarming Bees through Proactive Monitoring via Wireless Sensor Networks", 《PE-WASUN’14 PROCEEDINGS OF THE 11TH ACM SYMPOSIUM ON PERFORMANCE EVALUATION OF WIRELESS AD HOC, SENSOR, & UBIQUITOUS NETWORKS》 * |
| 王崇骏 等: "《大数据思维与应用攻略》", 31 July 2016, 机械工业出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112544503A (en) * | 2020-11-26 | 2021-03-26 | 重庆邮电大学 | Monitoring and early warning system and method for intelligent beehive |
| CN112544503B (en) * | 2020-11-26 | 2022-06-24 | 重庆邮电大学 | Monitoring and early warning system and method for intelligent beehive |
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Application publication date: 20170901 |