TW201926096A - Environmental response identification system and method thereof - Google Patents

Abstract

An environmental response identification method for identifying animal behavior includes obtaining a plurality of environmental data and a plurality of behavioral data corresponding to the plurality of environmental data in a plurality of periods, determining an environmental data threshold according to at least one of the plurality of behavioral data; and outputting an environmental control signal according to the environmental data threshold.

Description

Environmental response identification system and environmental response identification method

The invention relates to an environmental reaction identification system and an environmental reaction identification method, in particular to a system and method for determining the influence of environmental factors such as temperature and humidity on the behavior of individual animals, so as to improve the environment of individual animals.

Environmental factors (such as temperature, relative humidity, convection, etc.) have a close impact on the healthy growth of livestock and lactation. Among them, temperature-humidity index (THI) combined with temperature and relative humidity variation is currently used to alert livestock. The main indicator of heat stress.

The traditional animal industry uses a single temperature and humidity index to determine the ideal environment for the whole herd. However, the environmental adaptability of individual cattle is different. The regulation of temperature and humidity based on a single temperature and humidity index may cause unnecessary waste and may be disadvantageous. Specific cattle grow.

An embodiment of the present invention discloses an environmental reaction identification system for monitoring an animal's behavior, including a behavior detection module for detecting an animal's behavior to output a plurality of behavioral data values; mold The group is configured to output a plurality of behavior data values corresponding to the plurality of behavior data values, and a processor coupled to the behavior detection module and the environment detection module for determining the plurality of behavior data values according to the plurality of behavior data values At least one of them determines an environmental data threshold and outputs an environmental control signal based on the environmental data threshold.

An embodiment of the present invention discloses an environmental reaction identification method for monitoring an animal's behavior. The environmental reaction identification method is included in a plurality of time periods, and a processor separately obtains a plurality of environmental data values and a plurality of behavior data values. The plurality of behavior data values respectively correspond to the plurality of environmental data values; and according to at least one of the plurality of behavior data values, the processor determines an environmental data threshold; and according to the environmental data threshold, the processing The device outputs an environmental control signal.

10‧‧‧Environmental Response Identification System

100‧‧‧ Behavior Detection Module

102‧‧‧Environmental Detection Module

104‧‧‧Environmental Control Module

110‧‧‧ processor

112‧‧‧Processing unit

114‧‧‧storage unit

116‧‧‧Transport unit

COW‧‧ animals

B1~B7‧‧‧ behavior data values

E1~E7‧‧‧ Environmental data values

S‧‧‧Environmental Control Signal

T1~T7‧‧‧

20, 25‧‧‧ statistics

CE1‧‧‧ first environmental data value

CE2‧‧‧ second environmental data value

CE‧‧‧ first parameter

40, 50‧‧‧ Process

S401~S410, S501~S510‧‧‧ steps

SIG1‧‧‧ first progressive number

SIG2‧‧‧ second progressive number

R‧‧ ratio

P1‧‧‧ first predetermined value

P2‧‧‧ second predetermined value

To enhance the understanding of the objects, features and embodiments of the present invention, the description of the drawings is as follows: Figure 1 is a schematic diagram of an environmental reaction identification system in accordance with an embodiment of the present invention.

FIG. 2 is a statistical diagram showing the relative time period of behavior data values and the relative statistical number of behavior data values in an embodiment of the present invention.

FIG. 3 is a statistical diagram of relative time periods of environmental data values in an embodiment of the present invention.

Figure 4 is a flow chart showing a flow of an application environment reaction identification method in an embodiment of the present invention.

Figure 5 is a flow chart showing a flow of an application environment reaction identification method in another embodiment of the present invention.

The description of the embodiments of the present invention is intended to be illustrative, and is not intended to limit the scope of the invention. Nor is it intended to limit the order of its execution, and any structure formed by recombining the elements, such as a device that produces equal efficiency, should be within the scope of the invention. In addition, the drawings are intended for the purpose of illustration only, and are not intended to be

The terms used in the entire specification and claims of the present invention, unless otherwise specified, shall have the ordinary meaning in the field, the disclosure and the particular content. The "first", "second", "third", etc. used in the entire specification and patent application of the present invention are only for the purpose of distinguishing elements or operations described in the same technical terms, not specifically referring to the order or order. Nor is it intended to limit the invention.

Please refer to Figure 1. 1 is a schematic diagram of an environmental reaction identification system 10 in accordance with an embodiment of the present invention. As shown in FIG. 1 , the environmental response recognition system 10 includes a behavior detection module 100 , an environment detection module 102 , an environment control module 104 , and a processor 110 . The behavior detecting module 100 is configured to detect the behavior of an animal COW, such as walking number, food intake, eating times, drinking water, drinking times, rumbling time, standing state or lying state, and time period T1~T7 (please refer to Figure 2), corresponding to the output behavior data values B1~B7. The environment detecting module 102 is configured to detect the surrounding environment, such as wind speed, temperature, humidity or temperature and humidity index, and in the period T1~T7 (refer to FIG. 2), corresponding to the output environment data values E1~E7. The processor 110 receives the behavior data values B1 B B7, and analyzes the habits of the animal COW according to the behavior data values B1 B B7 , and connects the relationship between the animal COW habits and the environment of the animal COW by the environmental data values E1 E E7 received by the animals. And timely drive the environmental regulation module 104 to improve the environment, to avoid the animal COW due to weather overheating and loss of appetite, affecting health, and even milk production.

In some embodiments, the behavior detection module 100 can detect the COW behavior of the animal by using different technologies. For example, the behavior detection module 100 can be a pedometer, a three-axis accelerator (accelerometer). , a gyroscope, an infrared detector, a radio frequency identification (RFID) or a photographic recognition system. Among them, the photographic recognition system can distinguish the specific individuals (such as animal COW) according to the animal's pattern spots by image recognition, and further distinguish the ongoing behavior of the animal COW. The environment detecting module 102 can detect the environmental conditions by using different technologies. For example, the environment detecting module 102 can be a humidity sensor, a temperature sensor, and a temperature and humidity monitor (Onset Computer). Corporation, HOBO). The environment control module 104 can implement environmental conditions control by different technologies. For example, the environment control module 104 can be a water mist spray device, a dehumidifier, a humidifier, an exhaust fan, a sprinkler, and a honeycomb water. Bracts. Further, the storage unit 114 of the processor 110 further stores a behavior model for the processing unit 112 to determine the reaction of the animal COW to the environment, wherein the behavior model can be based on machine learning, neural network, deep learning or matrix decomposition. and set up.

Further, please refer to Figures 2 and 3. FIG. 2 is a statistical diagram of a relative period of behavior data values and a relative statistical number of behavior data values according to an embodiment of the present invention; FIG. 3 is a statistical diagram of relative periods of environmental data values according to an embodiment of the present invention. In the statistics 20 of FIG. 2, the behavior data values B1 to B7 corresponding to the time periods T1 to T7 are 30, 35, 30, 30, 25, 35, and 25, respectively. In this case, the behavior detecting module 100 may respectively The food intake of the animal COW was measured to be 30, 35, 30, 30, 25, 35, 25 pounds, but not limited thereto, and the behavior data values B1 to B7 may also be the number of times of eating or drinking. The statistic 25 of Fig. 2 further counts the numerical values of the behavior data values B1 to B7. For example, the number of statistics for eating 25 lbs is 2, and the number of consuming food is 30 lbs. Four, the number of statistics for eating 35 pounds is one. As shown in Figure 3, the environmental data values E1~E7 are 64~66, 65~67, 65~70, 68~75, 72~80, 65~71, 71~78 in the period T1~T7 respectively. In the case, the environment detecting module 102 measures the temperature and humidity index of 64 to 66 during the period T1, and the temperature and humidity index is 65 to 67 during the period T2, and so on, and the temperature and humidity index is 71 in the period T7. ~78.

As shown in FIG. 1, the processor 110 further includes a processing unit 112, a storage unit 114, and a transmission unit 116. Processing unit 112, storage unit 114, and transmission unit 116 may each be comprised of circuitry. For example, the processing unit 112 can be a digital signal processor, a micro controller, a microprocessor, an application specific integrated circuit (ASIC), or a logic circuit. Equal circuit, but not limited herein. The storage unit 114 can be used to store behavior data values B1 B B7 and environment data values E1 E E7, which can be Random-Access Memory (RAM), Read-Only Memory (ROM), A storage device such as a flash memory, a hard disk drive (HDD), or a solid state disk (SSD), but is not limited thereto. The transmission unit 116 can transmit or receive signals according to the instruction of the processing unit 112, such as behavior data values B1 B B7, environmental data values E1 E E7, and environmental control signals S.

Please refer to Figure 4. 4 is a flow chart of a process 40 for applying an environmental response identification method in accordance with an embodiment of the present invention. The process 40 can be compiled into a code and stored in the storage unit 114. The processing unit 112 can read the storage unit 114 and execute the code, and perform steps S401 to S410 of the process 40.

In detail, in step S402, the processor 110 obtains behavior data values B1 B B7 and environment data values E1 E E7 from the behavior detecting module 100 and the environment detecting module 102 in the time periods T1 T T7 . In step S403, the processor 110 selects a first environmental data value CE1 among the environmental data values E1 to E7. Taking FIG. 3 as an example, the processor 110 selects one of the temperature and humidity indexes 64 to 80 as the first environmental data value CE1. For example, the first environmental data value CE1 may be the maximum environmental data value in the environmental data values E1 to E7. And for 80. In step S404, the processor 110 determines at least one first behavior data value corresponding to the first environmental data value CE1. Taking the second and third figures as an example, the first environmental data value CE1 corresponding to the temperature and humidity index 80 is measured at the time period T5, and the behavior data value B5 measured in the time period T5 is the at least one first behavior data. value.

Next in step S405, the processor 110 confirms a first progressive Whether the ratio R between the number SIG1 and a second progressive number SIG2 is greater than a first predetermined value P1. The first progressive number SIG1 is the number of the at least one first behavior data value. As described above, the at least one first behavior data value is only the behavior data value B5 measured in the time period T5, and therefore, the first progressive The number of statistics of the number SIG1 is 1. On the other hand, the second progressive number SIG2 is the total number of behavior data values B1 to B7. Taking the second graph as an example, the second progressive number SIG2 has a statistical number of 7, because the number of foods is 35 pounds. The number is 1 (corresponding to the behavior data value B2 measured in the time period T2), and the statistical number of the food intake 30 pounds is 4 (the behavior data value B1 measured in the corresponding time period T1, the behavior data value B3 measured in the time period T3, the time period T4 The behavioral data value B4 measured by the behavioral data value B4 and the time period T6, and the statistical number of the food intake 25 lbs are 2 (the behavioral data value B5 measured by the time period T5 and the behavioral data value B7 measured by the time period T7) Therefore, the number of statistics of the second progressive number SIG2 is 7.

In the present embodiment, the first predetermined value P1 may be 20%, but the present invention is not limited thereto. In a case where the first predetermined value P1 is 20%, the processor 110 calculates in step S405 that the ratio R between the first progressive number SIG1 and the second progressive number SIG2 is 1/7, which is smaller than the first predetermined value P1. , therefore failed to meet the requirements. According to FIG. 4, the processor 110 has to perform step S406 to calculate a second environmental data value CE2 by using a first parameter CE and the first environmental data value CE1. In this embodiment, the first parameter CE may be 5, and the second environmental data value CE2 may be the first environmental data value CE1 minus the first parameter CE. Therefore, the second environmental data value CE2 is the temperature and humidity index 75, but The invention is not limited to this. In step S407, the processor 110 updates the first environmental data value CE1 according to the second environmental data value CE2, that is, the first environmental data value CE1 whose temperature and humidity index is originally set to 80 is changed. Set to 75. Next, the processor 110 re-executes step S404. Taking FIG. 2 and FIG. 3 as an example, the first environmental data value CE1 corresponding to the temperature and humidity index 75 can be measured at time periods T4, T5, and T7, and the behavior data value B4 measured in the time periods T4, T5, and T7, B5 and B7 are the at least one first behavior data value.

Next, the processor 110 re-executes step S405, that is, the processor 110 confirms whether the ratio R between the first progressive number SIG1 and the second progressive number SIG2 is greater than the first predetermined value P1. Since the first progressive number SIG1 is the number of the at least one first behavior data value, and the at least one first behavior data value includes the behavior data values B4, B5, and B7, the statistics of the first progressive number SIG1 The number is 3. Since the second progressive number SIG2 is the total number of behavior data values B1 to B7, the statistical number of the second progressive number SIG2 is still 7. In this way, the processor 110 calculates, in step S405, that the ratio R between the first progressive number SIG1 and the second progressive number SIG2 is 3/7, and the value thereof is greater than the first predetermined value P1 (20%), therefore, processing The processor 110 performs step S408.

In step S408, the processor 110 sets an environment data threshold (threshold) to the updated first environment data value CE1 (second environment data value CE2). As described above, the updated first environment data value CE1 corresponds to The temperature and humidity index should be 75, so the environmental data threshold is 75. The processor 110 outputs at least one environmental control signal S according to the environmental data threshold to instruct the environmental regulation module 104 to adjust or continuously maintain the environmental data value of the operation period Tx, and can change or maintain the animal COW in step S409. Environmental conditions. In other words, the processor 110 determines or determines the environmental data threshold value of the animal COW by the process 40, and further adjusts the environment to a desired temperature and humidity index, for example, maintaining the temperature and humidity index not greater than 75.

It should be noted that the environmental reaction identification system 10 and the process 40 are only examples, but are not limited thereto, and the flow of the device method in the field of adapting the normal equalization effect of the general knowledge in the field is also the scope covered by the present invention.

For example, please refer to Figure 5. Figure 5 is a flow chart of a process 50 for applying an environmental response identification method in another embodiment of the present invention. Steps S501 to S504, S506 to S510 of the process 50 are substantially the same as steps S401 to S404, S406 to S410 of the flow 40, and the difference mainly lies in steps S405 and S505. In detail, in step S503, the processor 110 selects a first environmental data value CE1 (for example, 80) among the environmental data values E1 to E7, and the first environmental data value CE1 based on the corresponding temperature and humidity index 80 is in the time period. The measurement is performed at T5, so in step S504, the processor 110 determines, according to the first environmental data value CE1, that the at least one first behavior data value is the behavior data value B5 measured in the period T5, that is, the food intake is 25 lbs.

Next, in step S505, the processor 110 confirms whether the at least one first behavior data value is less than a second predetermined value P2. In the present embodiment, the second predetermined value P2 may be 30 lbs, but the present invention is not limited thereto. Based on the at least one first behavior data value (25 lbs) being less than the second predetermined value P2, the processor 110 must perform step S506 to calculate the second environmental data value CE2 using the first parameter CE and the first environmental data value CE1. . If the first parameter CE is still assumed to be 5, and the second environmental data value CE2 is still deducting the first parameter CE for the first environmental data value CE1, the second environmental data value CE2 is the temperature and humidity index 75, but the invention is not limited thereto. In step S507, the processor 110 sets the first environmental data value CE1 whose temperature and humidity index is originally set to 80 to 75 according to the second environmental data value CE2. Next, the processor 110 performs step S504 again. Due to the first corresponding temperature and humidity index of 75 The environmental data value CE1 can be measured at time periods T4, T5, and T7, and the behavior data values B4, B5, and B7 measured in the time periods T4, T5, and T7 are the at least one first behavior data value.

Next, the processor 110 re-executes step S505 to confirm whether the at least one first behavior data value is less than the second predetermined value P2 (30 lbs). The at least one first behavior data value is not less than 30 pounds, so the at least one first behavior data value is not less than 30 pounds, because the at least one first behavior data value includes the behavioral data value B5, B7 corresponding food consumption of 25 pounds and the behavior data value B4 corresponding to the food intake of 30 pounds. The processor 110 directly performs step S508, and sets the environmental data threshold value to the updated first environmental data value CE1 (temperature and humidity index 75). In other words, the processor 110 can also determine or determine the environmental data threshold value of the animal COW by the process 50, and further adjust the environment to a desired temperature and humidity index, for example, maintaining the temperature and humidity index not greater than 75.

In one embodiment, the time periods T1 T T7 may be the first day, the second day, the ..., the seventh day, respectively, and the long-term observation is performed. In another embodiment, the first hour may also be the first hour. At the 2nd hour, ..., 7th hour, the instantaneous measurement is performed with a corresponding temperature and humidity index. In addition, in an embodiment, the behavior detection module 100 and the environment detection module 102 detect and output the behavior data values B1 B B7 and the environment data values E1 E E7 to the processor 110 during the time periods T1 T T7 . However, the present invention is not limited thereto. In another embodiment, the behavior detection module 100 may also detect the behavior data values B1 B B7 of the animal COW (eg, when the animal COW starts to eat), the behavior detection module 100 or The processor 110 instructs the environment detecting module 102 to detect and output the environmental data values E1 E E7 to the processor 110. Furthermore, in steps S403 and S503, the processor 110 selects the environment data maximum value 80 as the first environment number. According to the value CE1, the present invention is not limited thereto, and the processor 110 may also select the temperature and humidity index 78 as the first environmental data value CE1 according to the experience value of the aquaculture industry.

In the prior art, the ideal environment of the whole herd is determined by a single temperature and humidity index, and the environmental conditions of the whole herd are collectively adjusted. The unconscious individual cattle have different environmental adaptability, if only based on a single The temperature and humidity index to regulate the temperature and humidity of the whole herd will cause unnecessary waste and is not conducive to the growth of specific cattle. The prior art only uses the intrusive measuring device to detect the state of the cow to judge its lactation situation, and does not link the external behavioral habits of individual cows with their environmental conditions. In other words, the prior art needs Higher costs manage the health of the cattle, and invasive measurement devices can cause damage to the internal organs of the cattle.

In summary, the present invention utilizes a behavior detection module to detect the extrinsic behavior of a particular animal, particularly the habit response to environmental conditions, and integrates the environmental data values of the breeding site with the behavior of the particular animal by the processor. The data value, which relates the relationship between the external behavioral habits of the particular animal and its environment, and determines the growth conditions most suitable for the particular animal, and can be adjusted for the needs of a single animal. In this way, not only the damage of the invasive measuring device to the animal can be avoided, but also all the cultured animals can be individually in their respective fields by distributing different animals to different areas of the breeding site or by local environmental improvement devices. Growth under ideal environmental conditions, reducing costs, and enhancing animal management.

The above is only a part of the embodiments of the present invention, and it is not intended to limit the present invention. It should be noted that those skilled in the art can change and adjust the adaptability without departing from the spirit and scope of the present invention. It should still be within the scope of the invention.

Claims (13)

An environmental reaction identification system includes: a behavior detection module for detecting an animal behavior to output a plurality of behavior data values; and an environment detection module for outputting a plurality of environmental data values respectively corresponding to a plurality of behavioral data values; and a processor coupled to the behavior detection module and the environment detection module for determining an environmental data threshold based on at least one of the plurality of behavior data values, and An environmental control signal is output according to the environmental data threshold. The environmental response identification system of claim 1, further comprising: an environmental control module coupled to the processor for adjusting an environmental data value of an operating period according to the environmental control signal. The environmental reaction identification system of claim 1, wherein the processor determines at least one first behavior data value corresponding to one of the plurality of environmental data values, and the at least one first When the ratio between the number of behavior data values and the number of the plurality of behavior data values is greater than a first predetermined value, the processor sets the environmental data threshold to the first environmental data value. The environmental reaction identification system of claim 3, wherein the processing is when the ratio between the number of the at least one first behavior data value and the number of the plurality of behavior data values is not greater than the first predetermined value Re- The first environmental data value is selected from the plurality of environmental data values. The environmental reaction identification system of claim 1, wherein the processor determines at least one first behavior data value corresponding to one of the plurality of environmental data values, and the at least one first When the behavior data value is not less than the second predetermined value, the environmental data threshold is set to the first environmental data value. The environmental reaction identification system of claim 5, wherein the processor reselects the first environmental data value among the plurality of environmental data values when the at least one first behavior data value is less than the second predetermined value . The environmental reaction identification system of claim 1, wherein the behavior detection module is a pedometer, a three-axis accelerator, a gyroscope, an infrared detector, a radio frequency identification system or a photographic recognition system. One of them. The environmental reaction identification system of claim 1, wherein the environmental detection module is a humidity sensor, a temperature sensor or a temperature and humidity monitor. The environmental reaction identification system of claim 1, wherein the processor comprises: a storage unit for storing a code, the plurality of behavior data values And the plurality of environmental data values; and a processing unit configured to execute the code to determine the environmental data threshold; and a transmission unit configured to transmit or receive a signal according to the indication of the processing unit. An environmental reaction identification method for monitoring an animal's behavior, the environmental reaction identification method comprising: obtaining, by a processor, a plurality of environmental data values and a plurality of behavior data values, wherein the plurality of behavior data The values respectively correspond to a plurality of environmental data values; according to at least one of the plurality of behavior data values, an environmental data threshold is determined by the processor; and an environmental control signal is output by the processor according to the environmental data threshold . The environmental reaction identification method according to claim 7, wherein one of the environmental data values of one of the operating periods is adjusted by an environmental control module according to the environmental control signal. The environmental reaction identification method of claim 7, wherein the step of determining the environmental data threshold by the processor according to at least one of the plurality of behavior data values comprises: the processor corresponding to the plurality of environmental data values One of the first environmental data values, determining at least one first behavior data value; When the ratio between the number of the at least one first behavior data value and the number of the plurality of behavior data values is greater than a first predetermined value, setting the threshold value of the environmental data to the first environmental data value. The environmental reaction identification method of claim 7, wherein the step of determining the environmental data threshold by the processor according to at least one of the plurality of behavior data values comprises: the processor corresponding to the plurality of environmental data values Determining at least one first behavior data value, wherein the threshold value of the environmental data is set by the processor when the at least one first behavior data value is not less than the second predetermined value The first environmental data value.