CN109864007A - Environment reaction identification system and environment reaction discrimination method - Google Patents

Abstract

The present invention is an environmental response identification system and an environmental response identification method. The environmental response identification method is used for monitoring the behavior of an animal, including obtaining a plurality of environmental data values and a plurality of behavioral data values in a plurality of time periods, wherein the plurality of behavioral data values correspond to the plurality of environmental data values respectively; At least one of the plurality of behavior data values determines an environmental data threshold; and outputs an environmental control signal according to the environmental data threshold. By detecting the external behavior of a specific animal and linking the relationship between the external behavior and its environment, it can determine the most suitable growth environment for a specific animal. In this way, the animals can each be grown under their ideal environmental conditions.

Description

Environmental response identification system and environmental response identification method

technical field

The present invention relates to an environmental response identification system and an environmental response identification method, especially a system and method for judging the influence of environmental factors such as temperature and humidity on the behavior of individual animals, so as to improve the environment where the individual animals live.

Background technique

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

It is known that the livestock industry uses a single temperature and humidity index to determine the ideal environment for the entire cattle herd. However, individual cattle have different environmental adaptability. Adjusting the temperature and humidity based on a single temperature and humidity index may cause unnecessary waste, and may be detrimental to the environment. specific cattle growth.

SUMMARY OF THE INVENTION

In view of this, how to provide an environmental response identification system and an environmental response identification method is a problem to be solved in the industry.

An embodiment of the present invention discloses an environmental response recognition system for monitoring the behavior of an animal, including a behavior detection module for detecting the behavior of an animal to output a plurality of behavior data values; an environmental detection module a module for outputting a plurality of environmental data values corresponding to the plurality of behavior data values respectively; and a processor coupled to the behavior detection module and the environment detection module for at least one of the plurality of behavior data values One, determining an environmental data threshold, and outputting an environmental control signal according to the environmental data threshold.

In some embodiments, the environmental response identification system further includes an environmental regulation module coupled to the processor for adjusting an environmental data value in an operation period according to the environmental control signal.

In some embodiments, the processor determines at least one first behavior data value corresponding to a first environment data value among the plurality of environment data values, and compares the number of the at least one first behavior data value with the number of the first behavior data value. When the ratio between the number of the plurality of behavior data values is greater than a first predetermined value, the processor sets the environmental data threshold value to the first environmental data value.

In some embodiments, 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, the processor restarts the plurality of behavior data values. The first environmental data value is selected from the environmental data values.

In some embodiments, the processor determines at least one first behavior data value corresponding to a first environment data value among the plurality of environment data values, and the at least one first behavior data value is unevenly smaller than the When the second predetermined value is used, the environmental data threshold value is set to the first environmental data value.

In some embodiments, when the at least one first behavior data value is smaller than the second predetermined value, the processor selects the first environment data value from the plurality of environment data values again.

In some embodiments, the behavior detection module is one of a pedometer, a three-axis accelerator, a gyroscope, an infrared detector, a radio frequency identification system, or a photographic identification system.

In some embodiments, the environment detection module is a humidity sensor, a temperature sensor or a temperature and humidity monitor.

In some embodiments, the processor includes a storage unit for storing a program code, the behavior data values and the environment data values; and a processing unit for executing the program code to determine the environmental data threshold; a transmission unit for transmitting or receiving signals according to the instruction of the processing unit.

An embodiment of the present invention discloses an environmental response identification method for monitoring the behavior of an animal. The environmental response identification method includes obtaining a plurality of environmental data values and a plurality of behavior data values by a processor in a plurality of time periods, respectively. , wherein the plurality of behavior data values correspond to the plurality of environmental data values respectively; 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 The processor outputs an environmental control signal.

In some embodiments, an environmental data value of an operation period is adjusted by an environmental regulation module according to the environmental control signal.

In some embodiments, the step of determining, by the processor, the environmental data threshold value according to at least one of the plurality of behavioral data values includes corresponding, by the processor, to a first environmental data value of the plurality of environmental data values , determine 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, set the The environmental data threshold value is determined as the first environmental data value.

In some embodiments, the step of determining, by the processor, the environmental data threshold value according to at least one of the plurality of behavioral data values includes corresponding, by the processor, to a first environmental data value of the plurality of environmental data values to determine at least one first behavior data value; when the at least one first behavior data value is unevenly smaller than the second predetermined value, the processor sets the environmental data threshold value to the first environmental data value.

Description of drawings

In order to improve the understanding of the purpose, features and embodiments of the present invention, the accompanying drawings are described as follows:

FIG. 1 is a schematic diagram of an environmental response identification system according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of statistics of behavior data values relative to time periods and behavior data values relative to statistical counts in an embodiment of the present invention.

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

FIG. 4 is a flowchart of a process of applying an environmental response identification method according to an embodiment of the present invention.

FIG. 5 is a flowchart of a process of applying an environmental response identification method according to another embodiment of the present invention.

Detailed ways

In order to improve the understanding of the aspects of the present invention, the following descriptions are given by enumerating the embodiments in conjunction with the accompanying drawings, but the provided embodiments are not intended to limit the scope of the present invention, and the description of the structure and operation is also It is not intended to limit the order of its execution, and any structure formed by recombining the elements, such as a device having an equivalent effect, should be within the scope of the present invention. In addition, the drawings of the present invention are only for the purpose of illustration and are not drawn in full scale, and the same or similar elements will be described with the same symbols to facilitate understanding.

Terms used throughout the specification and claims of the present invention shall have their ordinary meanings in the art, in the disclosure and in the specific context unless otherwise specified. The terms "first", "second", "third", etc. used throughout the specification and claims of the present invention are only to distinguish elements or operations described in the same technical terms, and do not specifically refer to the order or sequence. The meaning of bit is not used to limit the present invention.

Please refer to Figure 1. FIG. 1 is a schematic diagram of an environmental response identification system 10 according to an embodiment of the present invention. As shown in FIG. 1 , the environmental response recognition system 10 includes a behavior detection module 100 , an environmental detection module 102 , an environmental regulation module 104 and a processor 110 . The behavior detection module 100 is used to detect the behavior of an animal's COW, such as the number of steps, the amount of food eaten, the frequency of eating, the amount of water, the frequency of drinking, the rumination time, the standing state or the lying state. Figure 2), corresponding to the output behavior data values B1 to B7. The environment detection module 102 is used to detect the surrounding environment, such as wind speed, temperature, humidity or temperature and humidity index, and output environmental data values E1 to E7 during time periods T1 to T7 (refer to FIG. 2 ). The processor 110 receives the behavior data values B1-B7, analyzes the habit of the animal COW according to the behavior data values B1-B7, and connects the relationship between the animal COW habit and the environment where the animal COW is located through the received environmental data values E1-E7, In addition, the environment control module 104 is driven in a timely manner to improve the environment, so as to prevent the animal COW from losing appetite due to overheating, affecting health and even milk production.

In some embodiments, the behavior detection module 100 can detect the COW behavior of animals through different technologies. For example, the behavior detection module 100 can be a pedometer, a three-axis accelerator (accelerometer), a gyro A gyroscope, an infrared detector, a radio frequency identification system (Radio Frequency Identification, RFID) or a photographic identification system. Among them, the photographic recognition system can identify a specific individual (such as animal COW) according to the pattern and spots of the animal through image recognition, and further distinguish the ongoing behavior of the animal COW. The environmental detection module 102 can detect environmental conditions through different technologies. For example, the environmental detection module 102 can be a humidity sensor, a temperature sensor, and a temperature and humidity monitor (Onset Computer Corporation, HOBO) ). The environmental regulation module 104 can control environmental conditions through different technologies. For example, the environmental regulation module 104 can be a water mist spray device, a dehumidifier, a humidifier, an exhaust fan, a sprinkler device, and a honeycomb water pond. Further, the storage unit 114 of the processor 110 additionally stores a behavior model for the processing unit 112 to determine the response 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 build.

Further, please refer to FIG. 2 and FIG. 3 . 2 is a schematic diagram of statistics of behavior data values relative to time periods and behavior data values relative to statistical numbers in an embodiment of the present invention; FIG. 3 is a statistical diagram of environmental data values relative to time periods in an embodiment of the present invention. In the statistics 20 in 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 detection module 100 may measure the The food intake of animal COW is 30, 35, 30, 30, 25, 35, and 25 pounds, but not limited thereto, and the behavioral data values B1 to B7 can also be the frequency of eating or the amount of water consumed. Statistic 25 in FIG. 2 further counts the values of the behavioral data values B1 to B7. For example, the number of statistics for a food intake of 25 pounds is 2, and the number of statistics for a food intake of 30 pounds is 4. 1, and the number of 35 pounds of food intake is 1. As shown in Fig. 3, the environmental data values E1-E7 are respectively 64-66, 65-67, 65-70, 68-75, 72-80, 65-71, 71-78 in the time period T1-T7. In this case Then, the environment detection module 102 measures the temperature and humidity index to be 64-66 in the period T1, the temperature and humidity index is 65-67 in the period T2, and so on, and the temperature and humidity index is 71-78 in the period T7 .

As shown in FIG. 1 , the processor 110 further includes a processing unit 112 , a storage unit 114 and a transmission unit 116 . The processing unit 112 , the storage unit 114 and the transmission unit 116 may be composed of circuits, respectively. For example, the processing unit 112 can be a digital signal processor, a micro controller, a microprocessor, an application specific integrated circuit (ASIC), or an integrated logic circuit. circuit, but not limited to this. The storage unit 114 can be used for storing behavior data values B1-B7 and environment data values E1-E7, which can be random-access memory (RAM), read-only memory (ROM), Storage devices such as flash memory (Flash Memory), hard disk drive (HDD), solid state disk (SSD), etc., are not limited thereto. The transmission unit 116 can transmit or receive signals, such as behavior data values B1 ˜ B7 , environment data values E1 ˜ E7 , and environment control signal S, according to the instructions of the processing unit 112 .

Please refer to Figure 4. FIG. 4 is a flowchart of a process 40 of applying the environmental response identification method according to an embodiment of the present invention. The process 40 can be compiled into program codes and stored in the storage unit 114 . The processing unit 112 can read the storage unit 114 to execute the program code, and then perform steps S401 - S410 of the process 40 .

Specifically, in step S402, the processor 110 obtains the behavior data values B1-B7 and the environment data values E1-E7 from the behavior detection module 100 and the environment detection module 102 respectively during the period T1-T7. In step S403, the processor 110 selects a first environmental data value CE1 from among the environmental data values E1-E7. Taking FIG. 3 as an example, the processor 110 selects one of the temperature and humidity indices 64-80 as the first environmental data value CE1. For example, the first environmental data value CE1 may be the maximum value of the environmental data among the environmental data values E1-E7. is 80. In step S404, the processor 110 determines at least one first behavior data value corresponding to the first environment data value CE1. Taking FIG. 2 and FIG. 3 as an example, the first environmental data value CE1 corresponding to the temperature and humidity index 80 is measured in 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 whether the ratio R between a first progressive number SIG1 and a second progressive number SIG2 is greater than a first predetermined value P1. Wherein, the first progressive number SIG1 is the number of the at least one first behavior data value. As mentioned above, the at least one first behavior data value is only the behavior data value B5 measured in the period T5. Therefore, the first progressive The statistical number of the number SIG1 is 1. On the other hand, the second progressive number SIG2 is the total number of behavioral data values B1 to B7. Taking Fig. 2 as an example, the second progressive number SIG2 counts as 7, because the statistical count of the food intake is 35 pounds. is 1 (corresponding to the behavioral data value B2 measured in period T2), and the statistical number of 30 pounds of food intake is 4 (corresponding to the behavioral data value B1 measured in period T1, the behavioral data value B3 measured in period T3, and the amount in period T4 The measured behavior data value B4 and the behavior data value B6 measured in the period T6), the statistical number of the food intake of 25 pounds is 2 (corresponding to the behavior data value B5 measured in the period T5 and the behavior data value B7 measured in the period T7) , therefore, the statistical number of the second progressive number SIG2 is 7.

In this embodiment, the first predetermined value P1 may be 20%, but the present invention is not limited thereto. In the 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 , and therefore fails to meet the requirements. According to FIG. 4 , at this time, the processor 110 needs to execute step S406 , that is, use a first parameter CE and a first environment data value CE1 to calculate a second environment data value CE2 . 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 of 75, but this 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, changes the first environmental data value CE1 whose temperature and humidity index was originally set to 80 to 75. Next, the processor 110 performs step S404 again. Taking FIG. 2 and FIG. 3 as examples, the first environmental data value CE1 corresponding to the temperature and humidity index 75 can be measured during time periods T4, T5, and T7, and the behavior data values B4, B5, B7 is the data value of the at least one first behavior.

Next, the processor 110 performs step S405 again, 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 its value is greater than the first predetermined value P1 (20%), therefore, processing The controller 110 executes step S408.

In step S408, the processor 110 sets an environmental data threshold (threshold) as the updated first environmental data value CE1 (second environmental data value CE2). As described above, the updated first environmental data value CE1 corresponds to The temperature and humidity index should be 75, so the critical value of environmental data is 75. In step S409, the processor 110 outputs at least one environmental control signal S according to the environmental data threshold value to instruct the environmental control module 104 to adjust or continuously maintain the environmental data value of the operation period Tx, so as to change or maintain the environment in which the animal COW is located condition. In other words, through the process 40 , the processor 110 judges or determines that the appropriate environmental data threshold for COW of the animal is 75, and further adjusts the environment to an ideal temperature and humidity index, for example, keeping the temperature and humidity index not greater than 75.

It is worth noting that the environmental response identification system 10 and the process 40 are only examples, but not limited thereto, and the device method and process with the effect of adapting epigenetic equalization by those skilled in the art are also covered by this application.

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

Next, in step S505, the processor 110 confirms whether the at least one first behavior data value is smaller than a second predetermined value P2. In this embodiment, the second predetermined value P2 may be 30 pounds, but the present invention is not limited thereto. Based on the at least one first behavioral data value (25 pounds) being less than the second predetermined value P2, the processor 110 must execute step S506, that is, use the first parameter CE and the first environmental data value CE1 to calculate the second environmental data value CE2 . If the first parameter CE is still assumed to be 5, and the second environmental data value CE2 is still the first environmental data value CE1 minus the first parameter CE, the second environmental data value CE2 is the temperature and humidity index 75, but the invention is not limited to this. In step S507, the processor 110 updates and 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. Since the first environmental data value CE1 corresponding to the temperature and humidity index 75 can be measured in the time periods T4, T5 and T7, 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, ie, confirms whether the data value of the at least one first behavior is smaller than the second predetermined value P2 (30 pounds). Since the at least one first behavior data value includes the food intake corresponding to the behavior data values B5 and B7 of 25 pounds and the food intake corresponding to the behavior data value B4 of 30 pounds, the at least one first behavior data value is not all less than 30 pounds, so The processor 110 directly executes 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 use the process 50 to determine or determine the appropriate environmental data threshold for animal COW to be 75, and further adjust the environment to an ideal temperature and humidity index, such as keeping the temperature and humidity index not greater than 75.

In one embodiment, the time periods T1 to T7 may be the first day, the second day, ..., the seventh day, respectively, and long-term observation is performed. 2 hours, ..., 7 hours, to perform real-time measurement corresponding to a specific temperature and humidity index. In addition, in one embodiment, the behavior detection module 100 and the environment detection module 102 both perform detection during the period T1-T7 and output the behavior data values B1-B7 and the environment data values E1-E7 to the processor 110, but this The invention is not limited to this. In another embodiment, when the behavior detection module 100 detects the behavior data values B1-B7 of the animal COW (for example, the animal COW starts to eat), the behavior detection module 100 or the processor 110 instructs the behavior detection module 100 or the processor 110 to instruct The environment detection module 102 detects and outputs the environment data values E1 to E7 to the processor 110 . Furthermore, in step S403 and step S503, the processor 110 selects the maximum value of the environmental data 80 as the first environmental data value CE1, but the present invention is not limited to this, and the processor 110 can also select the temperature and humidity index according to the experience value of the aquaculture industry. 78 as the first environmental data value CE1.

In the known technology, only a single temperature and humidity index is used to determine the ideal environment of the entire herd, and the environmental conditions of the entire herd are adjusted collectively. Using the humidity index to control the temperature and humidity of the entire herd will cause unnecessary waste and is not conducive to the growth of specific cattle. The known technology only uses an invasive measuring device to detect the internal state of the cow to determine its lactation status, and does not link the external behavior of the individual cow with its environmental conditions. In other words, the known technology requires Higher cost to manage cattle health, and invasive measurement devices can cause damage to cattle's internal organs.

To sum up, the present invention uses the behavior detection module to detect the external behavior of a single specific animal, especially the habitual response to environmental conditions, and integrates the environmental data value of the breeding place and the behavior data value of the specific animal through the processor , linking the relationship between the external behavior and habits of the specific animal and its environment, and then judging the most suitable growth conditions for the specific animal, and making adjustments to the needs of a single animal. In this way, it is not only possible to avoid the harm to animals caused by the invasive measuring device, but also by distributing different animals to different areas of the breeding site, or by improving the local environment, so that all farmed animals can live in their ideal environment. growth conditions, reduce costs, and enhance animal management situations.

The above only discloses some embodiments of the present invention, which are not intended to limit the present invention. It should be noted that those skilled in the art can adapt to changes and adjustments without departing from the spirit and scope of the present case. should still fall within the scope of the present invention.

Claims (13)

1. a kind of environment reaction identification system, which is characterized in that the environment reaction identification system includes:

One behavior detecting module, to detect the behavior of an animal, to export multiple behavioral data values；

One environment detecting module respectively corresponds multiple behavioral data value to export multiple environmental data values；And

One processor is coupled to behavior detecting module and the environment detecting module, to according in multiple behavioral data value At least one, determines an environmental data critical value, and export an ambient control signal according to the environmental data critical value.

2. environment reaction identification system according to claim 1, which is characterized in that additionally comprise:

One environment conditioning module, is coupled to the processor, to adjust a ring of an operation time period according to the ambient control signal Border data value.

3. environment reaction identification system according to claim 1, which is characterized in that the processor corresponds to multiple environment number According to the first environment data value in value, at least one first behavior data value is judged, and at least one first behavioral data When ratio between the number of value and the number of multiple behavioral data value is greater than a first predetermined value, which sets the ring Border data critical value is the first environment data value.

4. environment reaction identification system according to claim 3, which is characterized in that in at least one first behavior data value Number and multiple behavioral data value number between ratio be not more than the first predetermined value when, the processor is again in this The first environment data value is selected in multiple environmental data values.

5. environment reaction identification system according to claim 1, which is characterized in that the processor corresponds to multiple environment number According to the first environment data value in value, at least one first behavior data value is judged, and at least one first behavioral data When being worth non-respectively less than second predetermined value, the environmental data critical value is set as the first environment data value.

6. environment reaction identification system according to claim 5, which is characterized in that in at least one first behavior data value Respectively less than the second predetermined value when, which selects the first environment data value in multiple environmental data value again.

7. environment reaction identification system according to claim 1, which is characterized in that behavior detecting module is a step counting Device, one or three axis accelerators, a gyroscope, an infrared detector, a radio frequency identification system or one photography identification system its Middle one.

8. environment reaction identification system according to claim 1, which is characterized in that the environment detecting module is a humidity sense Survey device, a temperature-sensitive sticker or a temperature-humidity monitoring instrument.

9. environment reaction identification system according to claim 1, which is characterized in that the processor includes:

One storage element, to store a procedure code, multiple behavioral data value and multiple environmental data value；And

One processing unit, to execute the procedure code, to determine the environmental data critical value；

One transmission unit sendes or receive signal to manage the instruction of unit according to this.

10. a kind of environment reaction discrimination method, to monitor the behavior of an animal, which is characterized in that the environment reaction identification side Method includes:

In multiple periods, multiple environmental data values and multiple behavioral data values are obtained by a processor respectively, wherein multiple row Multiple environmental data value is respectively corresponded for data value；

According at least one of multiple behavioral data value, an environmental data critical value is determined by the processor；And

According to the environmental data critical value, an ambient control signal is exported by the processor.

11. environment reaction discrimination method according to claim 7, which is characterized in that an environmental data of an operation time period Value is adjusted by an environment conditioning module according to the ambient control signal.

12. environment reaction discrimination method according to claim 7, which is characterized in that according in multiple behavioral data value The step of at least one determines the environmental data critical value by the processor includes:

A first environment data value in multiple environmental data value is corresponded to by the processor, judges at least one first behavior number According to value；

By the processor in the ratio at least between the number of one first behavior data value and the number of multiple behavioral data value When example is greater than a first predetermined value, the environmental data critical value is set as the first environment data value.

13. environment reaction discrimination method according to claim 7, which is characterized in that according in multiple behavioral data value The step of at least one determines the environmental data critical value by the processor includes:

A first environment data value in multiple environmental data value is corresponded to by the processor, judges at least one first behavior number According to value；

By the processor when at least one first behavior data value non-respectively less than second predetermined value, sets the environmental data and face Dividing value is the first environment data value.