CN114521513B - Dangerous target identification method in power monitoring system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 21
- 241000287828 Gallus gallus Species 0.000 claims abstract description 187
- 235000013330 chicken meat Nutrition 0.000 claims abstract description 187
- 238000012545 processing Methods 0.000 claims abstract description 26
- 235000013305 food Nutrition 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims abstract description 13
- 238000009395 breeding Methods 0.000 claims abstract description 5
- 230000001488 breeding effect Effects 0.000 claims abstract description 5
- 210000003746 feather Anatomy 0.000 claims description 34
- 230000036541 health Effects 0.000 claims description 31
- 230000004913 activation Effects 0.000 claims description 10
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- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 201000010099 disease Diseases 0.000 claims description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 2
- 231100001261 hazardous Toxicity 0.000 claims 1
- 244000144977 poultry Species 0.000 description 4
- 235000013594 poultry meat Nutrition 0.000 description 4
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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
- A01K45/00—Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
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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
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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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
- A01K35/00—Marking poultry or other birds
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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
- A01K67/02—Breeding vertebrates
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention discloses a method for identifying dangerous targets in an electric power monitoring system, which adopts the monitoring and identifying system and comprises a monitoring module, an analysis module and a processing module, wherein the monitoring module is electrically connected with the analysis module, the analysis module is electrically connected with the processing module, the monitoring module is used for monitoring the breeding environment in a farm, the analysis module is used for analyzing the states of chickens, the processing module is used for operating and processing chickens after the chickens are found, the feeding module is used for feeding foods to the chickens which are bred, the monitoring module comprises a camera module, a positioning module, a capturing module, an identification module, an evaluation module, a feeding module and a measuring module, the camera module is electrically connected with the positioning module, and the camera module is electrically connected with the capturing module.
Description
Technical Field
The invention relates to the technical field of monitoring and identification, in particular to a method for identifying dangerous targets in an electric power monitoring system.
Background
With the development of social economy in China, the living standard of people is remarkably improved, people do not eat and wear on the basis, and then pursue healthy life modes, healthy foods and the like, so that the rapid development of the poultry farming industry is directly caused, the traditional decentralized and family type farming is developed to the current centralized and regular type farming, the health degree of poultry directly influences the income of farmers, and the development of national livestock economy is influenced, so that people must pay attention to the influence of poultry diseases on poultry.
Chickens are widely cultivated as poultry because of high egg yield and delicious meat quality. Diseases common to poultry are also very common in chicken farming. The farms of numerous chickens cannot timely find individual sick chickens and treat the sick chickens timely and effectively, so that other normal chickens are infected, a large amount of manpower and material resources are often required to be spent for treatment, the phenomenon that the number of chickens is reduced sharply due to unsuccessful treatment is often caused, and immeasurable economic losses are caused for chicken raising factories. If the breeding manufacturer can timely find the sick chicken and make corresponding treatment, the serious consequences can not be caused. Therefore, it is necessary to design a method for identifying dangerous objects in an electric power monitoring system which can identify sick chickens in a farm in time.
Disclosure of Invention
The invention aims to provide a dangerous object identification method in an electric power monitoring system so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the method adopts a monitoring and identifying system, and comprises a monitoring module, an analysis module and a processing module, wherein the monitoring module is electrically connected with the analysis module, the analysis module is electrically connected with the processing module, the monitoring module is used for monitoring the breeding environment in a farm, the analysis module is used for analyzing the state of chickens, and the processing module is used for carrying out operation processing after finding out the sick chickens.
According to the technical scheme, the monitoring module comprises a camera module, a positioning module, a capturing module, an identification module, an evaluation module, a feeding module and a measuring module, wherein the camera module is electrically connected with the positioning module, the camera module is electrically connected with the capturing module, the identification module is electrically connected with the evaluation module, the feeding module is electrically connected with the camera module, the camera module comprises a high-definition camera sub-module and an ultra-definition camera sub-module, the high-definition camera sub-module is electrically connected with the ultra-definition camera sub-module, the high-definition camera sub-module is used for roughly monitoring the state of a chicken, the ultra-definition camera sub-module is used for precisely monitoring the state of the chicken, the positioning module is used for positioning and tracking the chicken, the capturing module is used for capturing images of the chicken, the identification module is used for identifying the shadow shape of the chicken, the evaluation module is used for evaluating the degree of chicken feathers, the feeding module is used for feeding the chicken, and the measuring the moving speed of the chicken.
According to the technical scheme, the analysis module comprises a judging module and a calculating module, wherein the judging module is electrically connected with the calculating module and is used for judging the health state of the chicken, and the calculating module is used for calculating the health state of the chicken.
According to the technical scheme, the processing module comprises a data receiving and transmitting module, an alarm module and an activation module, wherein the data receiving and transmitting module is electrically connected with the alarm module, the data receiving and transmitting module is electrically connected with the activation module, the data receiving and transmitting module is used for receiving and transmitting data, the alarm module is used for transmitting alarm information to a farm, and the activation module is used for activating the recyclable signal foot ring of the chicken.
According to the above technical solution, the operation method of the method for identifying dangerous objects in the power monitoring system mainly includes the following steps:
step S1: the feeding module feeds food to the inner ring of the farm, and after the food is fed in a short time, the monitoring module is further started through an electric signal;
step S2: the monitoring module monitors and measures chickens existing in the outer ring of the farm;
step S3: the analysis module analyzes and calculates the health state of the chicken according to the monitored and identified data, and judges the sick chicken;
step S4: the processing module acquires the data of the judged sick chicken, sends alarm information to a farm house of the farm, and activates the recyclable signal foot ring of the sick chicken.
According to the above technical solution, the step S1 further includes the following steps:
step S11: after the feeding module finishes feeding food to the inner ring of the farm, the high-definition camera sub-module is started through an electric signal;
step S12: the high-definition camera sub-module roughly monitors the outer ring of the farm, and enables the capturing module through an electric signal;
step S13: the capturing module captures images of the outer-ring picture image of the farm, when the images of the chickens are captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is started, and when the images of the chickens are not captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is not started.
According to the above technical solution, the step S2 further includes the following steps:
step S21: after the ultra-clear shooting sub-module is started, the positioning module is used for positioning chickens in the outer ring of the farm, and the identification module and the measurement module are started through electric signals;
step S22: the recognition module recognizes the waveform shape of the shadows of the chickens in the outer ring of the farm, and further evaluates the recognition result through the evaluation module to obtain that the fluctuation amplitude of the chicken feathers is X;
step S23: the measurement module is used for measuring the moving speed of chickens in the outer ring of the farm when the chickens run to food, and the moving speed is measured to be V;
step S24: after the calculating module obtains the fluctuation amplitude of the chicken feather and the movement data of the chicken, the health factor of the chicken is calculated to be Y.
According to the above technical solution, the formula for calculating the health factor Y of the chicken in step S24 is as follows:
wherein Y is a health factor of the chicken, K is a health conversion coefficient, X is the fluctuation degree of the chicken feathers, V is a moving speed value of the chicken feathers in the outer ring of the farm when the chicken feathers run to food, wherein the fluctuation degree of the chicken feathers represents the looseness degree of the chicken feathers, the moving speed of the chicken feathers when the chicken feathers run to food is lower, the health factor of the chicken is lower, and the probability of illness of the chicken is higher.
According to the above technical solution, the step S3 further includes the following steps:
step S31: the judging module obtains the result calculated by the calculating module through the electric signal and compares the result data Y with a threshold L;
step S32: when (when)
When the chicken is in a healthy state, the judging module judges the chicken and cancels the positioning monitoring of the chicken;
step S33: when (when)
And when the chicken is a sick chicken, the judging module judges that the chicken is a sick chicken and sends the result data to the data receiving and sending module through the electric signal.
According to the above technical solution, the step S4 further includes the following steps:
step S41: the data receiving and transmitting module enables the activating module through an electric signal according to the receiving result;
step S42: the activation module activates a recyclable signal foot ring which is judged to be the sick chicken through an electric signal, and sounds when a detector is held by a farm household and is close to the sick chicken after the foot ring is activated, so that the farm household can quickly lock the sick chicken;
step S43: the alarm module is started through an electric signal after the recyclable signal foot ring is activated, and the alarm module sends alarm information that the sick chicken is detected to the user.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through the arrangement of the feeding module, the monitoring module, the analysis module and the processing module, the sick chickens in the farm can be found in time and alarm processing can be performed, other normal chicken flocks are prevented from being infected, and economic losses caused by mass infection of the chicken flocks are saved for the farm.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: the method adopts a monitoring and identifying system, and comprises a monitoring module, an analysis module and a processing module, wherein the monitoring module is electrically connected with the analysis module, the analysis module is electrically connected with the processing module, the monitoring module is used for monitoring the breeding environment in a farm, the analysis module is used for analyzing the states of chickens, the processing module is used for carrying out operation processing after finding out sick chickens, and through the feeding module, the monitoring module, the analysis module and the processing module, sick chickens in the farm can be found in time and alarm processing is carried out, other normal chickens are prevented from being infected, and economic losses caused by mass infection of the chickens are saved for farmhouses.
The monitoring module comprises a camera module, a positioning module, a capturing module, an identification module, an evaluation module, a feeding module and a measuring module, wherein the camera module is electrically connected with the positioning module, the camera module is electrically connected with the capturing module, the identification module is electrically connected with the evaluation module, the feeding module is electrically connected with the camera module, the camera module comprises a high-definition camera sub-module and an ultra-definition camera sub-module, the high-definition camera sub-module is electrically connected with the ultra-definition camera sub-module, the high-definition camera sub-module is used for roughly monitoring the state of chickens, the ultra-definition camera sub-module is used for precisely monitoring the state of chickens, the positioning module is used for positioning and tracking the chickens, the capturing module is used for capturing images of the chickens, the identification module is used for identifying shadow shapes of the chickens, the evaluation module is used for evaluating fluctuation degrees of feathers, the feeding module is used for feeding food to the chickens, the measuring module is used for measuring moving speed of the chickens, and a precise and reliable placement basis is provided for judging and identifying the sick chickens through the feeding module and the ultra-definition camera sub-module, and the calculation power of a system is saved.
The analysis module comprises a judging module and a calculating module, wherein the judging module is electrically connected with the calculating module and is used for judging the health state of the chickens, and the calculating module is used for calculating the health state of the chickens.
The processing module comprises a data receiving and transmitting module, an alarm module and an activation module, wherein the data receiving and transmitting module is electrically connected with the alarm module, the data receiving and transmitting module is used for receiving and transmitting data, the alarm module is used for transmitting alarm information to a farm, and the activation module is used for activating the recyclable signal foot ring of the chicken.
The operation method of the dangerous target identification method in the power monitoring system mainly comprises the following steps:
step S1: the feeding module feeds food to the inner ring of the farm, and after the food is fed in a short time, the monitoring module is further started through an electric signal;
step S2: the monitoring module monitors and measures chickens existing in the outer ring of the farm;
step S3: the analysis module analyzes and calculates the health state of the chicken according to the monitored and identified data, and judges the sick chicken;
step S4: the processing module acquires the data of the judged sick chicken, sends alarm information to a farm house of the farm, and activates the recyclable signal foot ring of the sick chicken.
Step S1 further comprises the steps of:
step S11: after the feeding module finishes feeding food to the inner ring of the farm, the high-definition camera sub-module is started through an electric signal;
step S12: the high-definition camera sub-module roughly monitors the outer ring of the farm, and enables the capturing module through an electric signal;
step S13: the capturing module captures images of the outer-ring picture image of the farm, when the images of the chickens are captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is started, and when the images of the chickens are not captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is not started.
Step S2 further comprises the steps of:
step S21: after the ultra-clear shooting sub-module is started, the positioning module is used for positioning chickens in the outer ring of the farm, and the identification module and the measurement module are started through electric signals;
step S22: the recognition module recognizes the waveform shape of the shadows of the chickens in the outer ring of the farm, and further evaluates the recognition result through the evaluation module to obtain that the fluctuation amplitude of the chicken feathers is X;
step S23: the measurement module is used for measuring the moving speed of chickens in the outer ring of the farm when the chickens run to food, and the moving speed is measured to be V;
step S24: after the calculating module obtains the fluctuation amplitude of the chicken feather and the movement data of the chicken, the health factor of the chicken is calculated to be Y.
The formula for calculating the health factor Y of the chicken in step S24 is as follows:
wherein Y is a health factor of the chicken, K is a health conversion coefficient, X is the fluctuation degree of the chicken feathers, V is a moving speed value of the chicken feathers in the outer ring of the farm when the chicken feathers run to food, wherein the fluctuation degree of the chicken feathers represents the looseness degree of the chicken feathers, the moving speed of the chicken feathers when the chicken feathers run to food is lower, the health factor of the chicken is lower, and the probability of illness of the chicken is higher.
Step S3 further comprises the steps of:
step S31: the judging module obtains the result calculated by the calculating module through the electric signal and compares the result data Y with a threshold L;
step S32: when (when)
When the chicken is in a healthy state, the judging module judges the chicken and cancels the positioning monitoring of the chicken;
step S33: when (when)
And when the chicken is a sick chicken, the judging module judges that the chicken is a sick chicken and sends the result data to the data receiving and sending module through the electric signal.
Step S4 further comprises the steps of:
step S41: the data receiving and transmitting module enables the activating module through an electric signal according to the receiving result;
step S42: the activation module activates the recyclable signal foot ring which is judged to be the sick chicken through the electric signal, and sounds when the detector is held by the farm house and approaches to the sick chicken after the foot ring is activated, so that the farm house can lock the sick chicken quickly, and extra time for searching the sick chicken is avoided;
step S43: the alarm module is started through an electric signal after the recyclable signal foot ring is activated, and the alarm module sends alarm information that the sick chicken is detected to the user.
Embodiment one: after feeding food to the inner ring of the farm, the monitoring module monitors that the chickens exist in the outer ring of the farm, and monitors and obtains the moving speed of the chickens in the outer ring of the farm to the food
The waving degree of the feather is->
Health conversion coefficient->
Health factor of chicken->
Result data->
And threshold value
Comparison is made due to +.>
Therefore, the chicken is judged to be a sick chicken, and the recyclable signal foot ring of the sick chicken is activated.
Embodiment two: after feeding food to the inner ring of the farm, the monitoring module monitors that the chickens exist in the outer ring of the farm, and monitors and obtains the moving speed of the chickens in the outer ring of the farm to the food
The waving degree of the feather is->
5, health conversion coefficient->
Health factor of chicken->
Result data->
And threshold value
Comparison is made due to +.>
Therefore, the chicken is judged to be a sick chicken, and the recyclable signal foot ring of the sick chicken is activated.
Embodiment III: after feeding food to the inner ring of the farm, the monitoring module monitors that the chickens exist in the outer ring of the farm, and monitors and obtains the moving speed of the chickens in the outer ring of the farm to the food
Feather (feather)The hair fluctuation degree is->
Health conversion coefficient->
Health factor of chicken->
Result data->
And threshold value
Comparison is made due to +.>
Therefore, the chicken is judged to be a sick chicken, and the recyclable signal foot ring of the sick chicken is activated.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The method for identifying the dangerous target in the electric power monitoring system adopts a monitoring and identifying system, and comprises a monitoring module, an analyzing module and a processing module, and is characterized in that: the monitoring module is electrically connected with the analyzing module, the analyzing module is electrically connected with the processing module, the monitoring module is used for monitoring the breeding environment in the farm, the analyzing module is used for analyzing the states of the chickens, and the processing module is used for performing operation processing after the chickens with diseases are found;
the monitoring module comprises a camera module, a positioning module, a capturing module, an identification module, an evaluation module, a feeding module and a measuring module, wherein the camera module is electrically connected with the positioning module, the camera module is electrically connected with the capture module, the identification module is electrically connected with the evaluation module, the feeding module is electrically connected with the camera module, the camera module comprises a high-definition camera sub-module and an ultra-definition camera sub-module, the high-definition camera sub-module is electrically connected with the ultra-definition camera sub-module, the high-definition camera sub-module is used for roughly monitoring the state of a chicken, the ultra-definition camera sub-module is used for precisely monitoring the state of the chicken, the positioning module is used for positioning and tracking the chicken, the capture module is used for capturing images of the chicken, the identification module is used for identifying the shadow of the chicken, the evaluation module is used for evaluating the fluctuation degree of the chicken feather, the feeding module is used for feeding the chicken with food, and the measuring speed of the chicken is used for measuring the movement of the chicken feather;
the analysis module comprises a judging module and a calculating module, wherein the judging module is electrically connected with the calculating module and is used for judging the health state of the chickens, and the calculating module is used for calculating the health state of the chickens;
the processing module comprises a data receiving and transmitting module, an alarm module and an activation module, wherein the data receiving and transmitting module is electrically connected with the alarm module, the data receiving and transmitting module is used for receiving and transmitting data, the alarm module is used for transmitting alarm information to farmhouses, and the activation module is used for activating recyclable signal foot rings of chickens;
the operation method of the dangerous target identification method in the power monitoring system mainly comprises the following steps:
step S1: the feeding module feeds food to the inner ring of the farm, and after the food is fed in a short time, the monitoring module is further started through an electric signal;
step S2: the monitoring module monitors and measures chickens existing in the outer ring of the farm;
step S3: the analysis module analyzes and calculates the health state of the chicken according to the monitored and identified data, and judges the sick chicken;
step S4: the processing module acquires the data of the judged sick chicken, sends alarm information to a farm house of the farm, and activates a recyclable signal pin ring of the sick chicken;
the step S1 further comprises the steps of:
step S11: after the feeding module finishes feeding food to the inner ring of the farm, the high-definition camera sub-module is started through an electric signal;
step S12: the high-definition camera sub-module roughly monitors the outer ring of the farm, and enables the capturing module through an electric signal;
step S13: the capturing module captures images of the outer-ring picture image of the farm, when the images of the chickens are captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is started, and when the images of the chickens are not captured in the images of the outer-ring picture image of the farm, the ultra-clear shooting sub-module is not started;
the step S2 further comprises the steps of:
step S21: after the ultra-clear shooting sub-module is started, the positioning module is used for positioning chickens in the outer ring of the farm, and the identification module and the measurement module are started through electric signals;
step S22: the recognition module recognizes the waveform shape of the shadows of the chickens in the outer ring of the farm, and further evaluates the recognition result through the evaluation module to obtain that the fluctuation amplitude of the chicken feathers is X;
step S23: the measurement module is used for measuring the moving speed of chickens in the outer ring of the farm when the chickens run to food, and the moving speed is measured to be V;
step S24: after the calculating module obtains the fluctuation amplitude of the chicken feather and the movement data of the chicken, calculating to obtain the health factor Y of the chicken;
the formula for calculating the health factor Y of the chicken in step S24 is as follows:
wherein Y is a health factor of the chicken, K is a health conversion coefficient, X is the fluctuation degree of the chicken feathers, V is a moving speed value of the chicken feathers in the outer ring of the farm when the chicken feathers run to food, wherein the fluctuation degree of the chicken feathers represents the looseness degree of the chicken feathers, the moving speed of the chicken feathers when the chicken feathers run to food is lower, the health factor of the chicken is lower, and the probability of illness of the chicken is higher.
2. The method for identifying a hazardous target in a power monitoring system according to claim 1, wherein: the step S3 further includes the steps of:
step S31: the judging module obtains the result calculated by the calculating module through the electric signal and compares the result data Y with a threshold L;
step S32: when (when)
When the chicken is in a healthy state, the judging module judges the chicken and cancels the positioning monitoring of the chicken;
step S33: when (when)
And when the chicken is a sick chicken, the judging module judges that the chicken is a sick chicken and sends the result data to the data receiving and sending module through the electric signal.
3. The method for identifying a dangerous object in an electrical power monitoring system according to claim 2, wherein: the step S4 further includes the steps of:
step S41: the data receiving and transmitting module enables the activating module through an electric signal according to the receiving result;
step S42: the activation module activates a recyclable signal foot ring which is judged to be the sick chicken through an electric signal, and sounds when a detector is held by a farm household and is close to the sick chicken after the foot ring is activated, so that the farm household can quickly lock the sick chicken;
step S43: the alarm module is started through an electric signal after the recyclable signal foot ring is activated, and the alarm module sends alarm information that the sick chicken is detected to the user.
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| CN202211482645.4A CN115968829A (en) | 2022-02-16 | 2022-02-16 | Identification method of dangerous target in power monitoring system |
| CN202210141697.9A CN114521513B (en) | 2022-02-16 | 2022-02-16 | Dangerous target identification method in power monitoring system |
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| WO2015106379A1 (en) * | 2014-01-14 | 2015-07-23 | 杭州朗拓生物科技有限公司 | Barton hybrid led lightening method and system |
| CN107549049A (en) * | 2017-09-28 | 2018-01-09 | 中北大学 | A kind of cage bird health status automatic monitoring device |
| CN108309310A (en) * | 2018-03-22 | 2018-07-24 | 深圳市物联微电子有限公司 | Cultivation chicken disease warning system based on Internet of Things and method |
| WO2020100140A1 (en) * | 2018-11-14 | 2020-05-22 | The State Of Israel, Ministry Of Agriculture & Rural Development, Agricultural Research Organization (Aro) (Volcani Center) | System for measuring body temperature in poultry |
| CN111198549A (en) * | 2020-02-18 | 2020-05-26 | 陈文翔 | Poultry breeding monitoring management system based on big data |
| CN111387952A (en) * | 2020-03-26 | 2020-07-10 | 四川爱联科技有限公司 | Poultry remote monitoring system and method based on Internet of things |
| CN113221864A (en) * | 2021-04-12 | 2021-08-06 | 蚌埠学院 | Method for constructing and applying diseased chicken visual recognition model with multi-region depth feature fusion |
| JP2021182225A (en) * | 2020-05-18 | 2021-11-25 | 株式会社コンピュータシステム研究所 | Monitoring device, monitoring program, storage medium, and monitoring method |
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2022
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- 2022-02-16 CN CN202210141697.9A patent/CN114521513B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015106379A1 (en) * | 2014-01-14 | 2015-07-23 | 杭州朗拓生物科技有限公司 | Barton hybrid led lightening method and system |
| CN107549049A (en) * | 2017-09-28 | 2018-01-09 | 中北大学 | A kind of cage bird health status automatic monitoring device |
| CN108309310A (en) * | 2018-03-22 | 2018-07-24 | 深圳市物联微电子有限公司 | Cultivation chicken disease warning system based on Internet of Things and method |
| WO2020100140A1 (en) * | 2018-11-14 | 2020-05-22 | The State Of Israel, Ministry Of Agriculture & Rural Development, Agricultural Research Organization (Aro) (Volcani Center) | System for measuring body temperature in poultry |
| CN111198549A (en) * | 2020-02-18 | 2020-05-26 | 陈文翔 | Poultry breeding monitoring management system based on big data |
| CN111387952A (en) * | 2020-03-26 | 2020-07-10 | 四川爱联科技有限公司 | Poultry remote monitoring system and method based on Internet of things |
| JP2021182225A (en) * | 2020-05-18 | 2021-11-25 | 株式会社コンピュータシステム研究所 | Monitoring device, monitoring program, storage medium, and monitoring method |
| CN113221864A (en) * | 2021-04-12 | 2021-08-06 | 蚌埠学院 | Method for constructing and applying diseased chicken visual recognition model with multi-region depth feature fusion |
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| CN114521513A (en) | 2022-05-24 |
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