CN113396831B - Living body breeding monitoring and positioning method, device, equipment and storage medium - Google Patents
Living body breeding monitoring and positioning method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of artificial intelligence, and discloses a living body breeding monitoring and positioning method, which comprises the following steps: acquiring position information data of a living body to be monitored based on monitoring equipment; grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data; searching the living body to be monitored based on the target average value, and shooting image information of the living body to be monitored; and comparing the image information with preset characteristic information, and determining the position information of the living body to be monitored based on the comparison result. The invention can improve the speed and the precision of monitoring and positioning of living body breeding.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a device for monitoring and positioning living body breeding, electronic equipment and a computer readable storage medium.
Background
In the current aquaculture industry, there are a large number of complex and repetitive tasks that are not accurate to individuals. This can lead to a number of disadvantages such as milking cows, breeding, showering, repelling insects, etc. The existing living body monitoring technology can only monitor the presence condition of a living body, and if the monitoring is accurate to a single living body, the monitoring is a very complicated work, so that the problems of large data processing amount, time and labor waste, limited positioning accuracy and the like are caused. For example, finding one cow among nearly ten thousand is a difficult thing to do.
In addition, the existing positioning systems all need electric energy as a guarantee, and the positioning accuracy is in the meter level, so that it is difficult to clearly position a living body in an intensive farm, and it is more difficult to accurately identify whether the living body is a target individual. Although the existing living body is usually worn with a corresponding ear tag, a number plate and the like, how to quickly and accurately position a single living body is a technical problem which needs to be solved at present.
Disclosure of Invention
The invention provides a living body breeding monitoring and positioning method, a living body breeding monitoring and positioning device, electronic equipment and a computer readable storage medium, and mainly aims to improve the speed and the precision of living body breeding monitoring and positioning.
In order to achieve the above object, the present invention provides a method for monitoring and positioning living body breeding, comprising:
acquiring position information data of a living body to be monitored based on monitoring equipment;
grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data;
searching the living body to be monitored based on the target average value, and shooting image information of the living body to be monitored;
and comparing the image information with preset characteristic information, and determining the position information of the living body to be monitored based on the comparison result.
In addition, an optional technical solution is that the step of acquiring location information data of the living body to be monitored based on the monitoring device includes:
uniformly arranging monitoring equipment for monitoring the position of a living body in a culture area;
acquiring distance data between the living body to be monitored and the monitoring equipment through the monitoring equipment;
and determining the position information data of the living body to be monitored based on the distance data and the inherent position information of the monitoring equipment.
In addition, an optional technical solution is that the step of uniformly arranging the monitoring devices for monitoring the positions of the living bodies in the culture area comprises:
constructing a grid area based on the activity area of the living body to be monitored, wherein the side length of the grid area is not more than half of the detection distance of the monitoring equipment;
installing the monitoring device at each vertex of the grid area.
In addition, an optional technical solution is that the step of acquiring, by a monitoring device, distance data between the living body to be monitored and the monitoring device includes:
setting an ear tag associated with the monitoring equipment on the living body to be detected;
acquiring communication information between all monitoring devices capable of detecting the living body to be monitored and an ear tag of the living body to be monitored;
determining distance data between the living body to be monitored and the monitoring device based on the communication information.
In addition, an optional technical solution is that the step of grouping the position information data according to a preset rule and obtaining a target average value of each group of position information data includes:
acquiring position information data of the living body to be monitored based on a preset frequency, and determining a first average position information data set;
acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
and acquiring the average value of all the first average position information data in the circular area, and determining a second average position information data set, namely acquiring the target average value.
In addition, an optional technical solution is that when the distance is not less than the preset threshold, it is determined that a minimum longitude point and a maximum latitude point in the first average location information data set are two location information data existing in the living body to be monitored, and the target average includes the minimum longitude point and the maximum latitude point.
In addition, an optional technical solution is that the step of comparing the image information with preset feature information and determining the position information of the living body to be monitored based on the comparison result includes:
acquiring original image information of a living body to be monitored;
confirming preset characteristic information of the living body to be monitored based on the original image information, and encrypting and storing the preset characteristic information;
and acquiring the characteristics of the image information and comparing the characteristics with the preset characteristic information.
In order to solve the above problems, the present invention also provides a living body breeding monitoring positioning device, comprising:
a position information data acquisition unit for acquiring position information data of the living body to be monitored based on the monitoring device;
the target average value acquisition unit is used for grouping the position information data according to a preset rule and acquiring a target average value of each group of position information data;
the image information acquisition unit is used for searching the living body to be monitored based on the target average value and shooting the image information of the living body to be monitored;
and the position information determining unit is used for comparing the image information with preset characteristic information and determining the position information of the living body to be monitored based on the comparison result.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the living body culture monitoring and positioning method.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, which stores at least one instruction, where the at least one instruction is executed by a processor in an electronic device to implement the living organism breeding monitoring and positioning method.
The embodiment of the invention acquires the position information data of the living body to be monitored based on the monitoring equipment; grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data; the living body to be monitored is searched based on the target average value, so that a living body target can be quickly positioned in a living body culture area with a large number, and the positioning time is shortened; in addition, the image information of the living body to be monitored can be shot, the image information is compared with the preset characteristic information in a characteristic mode, the position information of the living body to be monitored is determined based on the comparison result, and the positioning accuracy of the living body is ensured.
Drawings
Fig. 1 is a schematic flow chart of a living body culture monitoring and positioning method according to an embodiment of the present invention;
FIG. 2 is a block diagram of an in-vivo aquaculture monitoring and positioning device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device for implementing a living aquaculture monitoring and positioning method according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The invention provides a living body breeding monitoring and positioning method. Fig. 1 is a schematic flow chart of a living body culture monitoring and positioning method according to an embodiment of the present invention. The method may be performed by an apparatus, which may be implemented by software and/or hardware.
In this embodiment, the living body culture monitoring and positioning method includes:
s100: and acquiring the position information number of the living body to be monitored based on the monitoring equipment.
Wherein the step of acquiring the position information data of the living body to be monitored based on the monitoring device comprises the following steps:
s110: uniformly arranging monitoring equipment for monitoring the position of a living body in a culture area;
s120: acquiring distance data between the living body to be monitored and the monitoring equipment through the monitoring equipment;
s130: and determining the position information data of the living body to be monitored based on the distance data and the inherent position information of the monitoring equipment.
Further, the step S110 may further include:
s111: constructing a grid region based on the activity region of the living body to be monitored, wherein the side length of the grid region is not more than half of the detection distance of the monitoring equipment;
s112: installing the monitoring device at each vertex of the grid area.
In an embodiment of the present invention, the step S120 may further include:
s121: setting an ear tag associated with the monitoring equipment on the living body to be detected;
s122: acquiring communication information between all monitoring devices capable of detecting the living body to be monitored and an ear tag of the living body to be monitored;
s123: determining distance data between the living body to be monitored and the monitoring device based on the communication information.
The communication information may include a specific signal sent by the monitoring device and a received feedback signal, for example, the specific signal may be sent to the ear tag by the monitoring device, and the corresponding feedback signal may be fed back by the ear tag, and the distance information between the monitoring device and the living body to be detected where the ear tag is located may be determined by a time difference between sending of the specific signal and a receiving time of the feedback signal.
Then, the specific location information of the living body to be detected can be determined by the location information and the distance information of the monitoring device, and it can be known that other technical means can be adopted when the specific location information of the living body to be detected corresponds to, and the method is not limited to the specific example.
Finally, position information data of the living body to be monitored may be determined based on the distance data and the inherent position information of the monitoring device.
The position information data of the living body to be monitored mainly comprises longitude and latitude data of the living body to be monitored. When the position information data of the living body to be monitored is determined, the specific longitude and latitude data of each cow or sheep is determined, specifically, the ID or other characteristic information of the living body to be monitored and the corresponding position information data can be stored in a correlated manner, and further, the position information data of each living body can be determined.
Specifically, in the process of storing the position information data, specific data can be uploaded to a kafka message queue, and then the data is primarily sorted based on distributed tasks, where the primary sorting is mainly operations such as grouping processing and average value obtaining of the position information data in the next step S200.
S200: and grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data.
Wherein, the step S200 may further include:
s210: acquiring position information data of the living body to be monitored based on a preset frequency, and determining a first average position information data set;
for example, it may be set that the position information data of the living body is acquired once every 10s, and 30 sets of position information data may be acquired within a preset time period, for example, 5 minutes, and the 30 sets of position information data may form a set of first average position information data set within the preset time period. Within 5-10 minutes, another group of first average position information data sets can be obtained, and data iteration updating is carried out sequentially.
Wherein, the position information data obtained at 10s is the average value of all the position information data obtained within 0-10s, the position information data obtained at 20s is the average value of all the position information data obtained within 10s-20s, and so on.
S220: acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
s230: judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
if the distance is greater than the preset threshold, it is determined that the corresponding minimum longitude point and the maximum latitude point are two pieces of location information data existing in the living body, and the two pieces of location information data are the target average value, and the averaging process may not be performed at this time.
S240: and acquiring the average value of all the first average position information data in the circular area, and determining a second average position information data set, namely acquiring the target average value.
In the process of obtaining the average value of all the first average position information data in the circular area, the number of the first average position information data in the first average position information data set in the circular area can be judged in advance, and when the number is larger than the preset number, the average value is obtained, otherwise, the average value is not obtained.
For example, 30 sets of position information data acquired within 5 minutes may result in a relatively large overall data volume, and when the data is stored and the living body is subsequently positioned, the specific living body position information cannot be provided quickly and effectively, and therefore, the first average position information data after the averaging processing with time as a reference may be averaged again, and the averaging processing may be performed again on the condition of the divided circular area, which not only effectively reduces useless data and reduces the pressure of data storage, but also further positions the position of the living body, so that in the living body query, the specific position of the living body may be determined quickly and effectively with less data.
The method comprises the steps that a group of first average position information data sets can be obtained within every 5 minutes, corresponding minimum longitude points and maximum latitude points can be determined, the average value of the first average position information data is obtained based on a circular area to form second average position information data, one corresponding second average position information data can be determined according to the group of first average position information data, and average simplification processing of the data is achieved; further, if the distance between the minimum longitude point and the maximum latitude point is greater than the preset threshold, the averaging process is not necessary, and at this time, two corresponding pieces of second average position information data, that is, the minimum longitude point and the maximum latitude point, can be determined for one set of first average position information data.
In the data storage process, the second average position information data can be directly stored within 5 minutes currently, a group of second average position information data can be formed in no 5 minutes, all the second average position information data can form a second average position information data set, and in the living body positioning process, the living body can be accurately positioned by searching the position information data within 5 minutes or 10 minutes recently.
S300: and searching the living body to be monitored based on the target average value, and shooting the image information of the living body to be monitored.
When the living body to be monitored is searched, a target average value within a short preset time period (for example, within 5 minutes or 10 minutes) can be obtained, one or two pieces of target position point information can be determined through the target average value, then, the living body at the target position point is photographed, and corresponding image information is obtained, so that the living body can be further subjected to information confirmation in the following process.
It should be noted that the preset time period, the preset frequency, the preset threshold, the preset number and other data can be set by themselves according to the specific living body type, the size of the culture area and the like, and are not limited to specific values. For example, when the living body is a cow or a sheep, the above parameters can be adjusted to achieve the best positioning effect, and in addition, different sampling frequencies can be set in different application scenes, so that the living body can be quickly and accurately positioned under the condition of ensuring the minimum calculated amount.
In addition, when image information of a living body to be monitored is shot, video recording can be carried out, so that when a specific position is determined, the living body can be accurately positioned by combining the video, the characteristic identification technology and the like.
S400: and comparing the image information with preset characteristic information, and determining the position information of the living body to be monitored based on the comparison result.
The step of comparing the image information with preset characteristic information and determining the position information of the living body to be monitored based on the comparison result comprises the following steps:
s410: acquiring original image information of a living body to be monitored;
s420: confirming preset characteristic information of the living body to be monitored based on the original image information, and encrypting and storing the preset characteristic information;
s430: and acquiring the characteristics of the image information and comparing the characteristics with the preset characteristic information.
If the comparison result of the characteristics of the image information and the preset characteristic information meets the requirement, the shot living body to be monitored is the target living body, and the living body positioning work is completed; otherwise, the positioning failure is indicated.
In addition, since there may be a plurality of target average values, there may also be a plurality of image information of the control living body captured for this purpose, and at this time, the characteristic information comparison processing may be performed on all the image information one by one, so that the position of the living body which is finally desired to be positioned may be determined quickly.
As a specific example, before a living body enters the culture area, all living bodies may be photographed to obtain corresponding original image information, the original image may include various image information such as a front face image, a left side face image, a right side face image, a left side body image, and a right side body image of the living body, and the characteristic information of the living body in the original image information may be obtained by the AI system, and the characteristic information may include patterns on the surface of the living body, skeleton/bone information, and other characteristic information that can be distinguished between the living bodies.
In addition, still can set up fixed serial number respectively to each live body to beat and to carry out NFC, bluetooth, wifi etc. and can carry out the ear tag that communicates with supervisory equipment, so that fix a position and confirm the live body.
The living body breeding monitoring and positioning method can store the current position information of the living body through a positioning means, and can position and display the living body through the position information when the living body is searched, and can observe picture information, video information and the like of the living body through video monitoring. The positioning speed of the living body can be improved, the positioning time is greatly shortened, the working efficiency and the working quality in unit time can be improved, and the personnel cost is reduced.
In addition, the scheme is customized according to the relevant environment of the living body breeding site, various interference factors are completely avoided, the phenomena of position drift and the like cannot be generated, and the error of searching for similar individuals can be avoided by combining with an AI identification mode.
FIG. 2 is a functional block diagram of the living body cultivation monitoring and positioning device of the present invention.
The living body cultivation monitoring and positioning device 200 to be monitored can be installed in electronic equipment. According to the realized functions, in one embodiment, the living body cultivation monitoring and positioning device to be monitored can comprise a position information data acquisition unit 210, a target average value acquisition unit 220, an image information acquisition unit 230 and a position information determination unit 240. A unit described herein, which may also be referred to as a module, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and are stored in a memory of the electronic device.
In the present embodiment, the functions of the respective modules/units are as follows:
a position information data acquisition unit 210 for acquiring position information data of the living body to be monitored based on the monitoring device.
Wherein the step of the unit acquiring position information data of the living body to be monitored based on the monitoring device includes:
s110: uniformly arranging monitoring equipment for monitoring the positions of living bodies in the culture area;
s120: acquiring distance data between the living body to be monitored and the monitoring equipment through the monitoring equipment;
s130: and determining the position information data of the living body to be monitored based on the distance data and the inherent position information of the monitoring equipment.
Further, the step S110 may further include:
s111: constructing a grid region based on the activity region of the living body to be monitored, wherein the side length of the grid region is not more than half of the detection distance of the monitoring equipment;
s112: installing the monitoring device at each vertex of the grid area.
In an embodiment of the present invention, the step S120 may further include:
s121: setting an ear tag associated with the monitoring equipment on the living body to be detected;
s122: acquiring communication information between all monitoring devices capable of detecting the living body to be monitored and ear tags of the living body to be monitored;
s123: determining distance data between the living body to be monitored and the monitoring device based on the communication information.
The communication information may include a specific signal sent by the monitoring device and a received feedback signal, for example, the specific signal may be sent to the ear tag by the monitoring device, and the corresponding feedback signal may be fed back by the ear tag, and the distance information between the monitoring device and the living body to be detected where the ear tag is located may be determined by the time difference between the sending of the specific signal and the receiving time of the feedback signal.
Then, the specific location information of the living body to be detected can be determined by the location information and the distance information of the monitoring device, and it can be known that other technical means can be adopted when the specific location information of the living body to be detected corresponds to, and the method is not limited to the specific example.
Finally, position information data of the living body to be monitored may be determined based on the distance data and the inherent position information of the monitoring device.
The position information data of the living body to be monitored mainly comprises longitude and latitude data of the living body to be monitored. When the position information data of the living body to be monitored is determined, the specific longitude and latitude data of each cow or sheep is determined, specifically, the ID or other characteristic information of the living body to be monitored and the corresponding position information data can be stored in a correlated manner, and further, the position information data of each living body can be determined.
Specifically, in the process of storing position information data, specific data can be uploaded to a kafka message queue, and then the data is subjected to preliminary sorting based on distributed tasks, wherein the preliminary sorting is mainly operations of grouping processing, average value obtaining and the like on the position information data in the next step S200.
And a target average value obtaining unit 220, configured to perform grouping processing on the position information data according to a preset rule, and obtain a target average value of each group of position information data.
Wherein the unit 220 may further comprise the steps of:
1. acquiring position information data of the living body to be monitored based on a preset frequency, and determining a first average position information data set;
for example, it may be set that the position information data of the living body is acquired every 10s, and 30 sets of the position information data may be acquired within a preset time period, for example, 5 minutes, and the 30 sets of the position information data may form a set of the first average position information data set within the preset time period. Within 5-10 minutes, another group of first average position information data sets can be obtained, and data iteration updating is carried out sequentially.
The position information data acquired at 10s is the average value of all the acquired position information data acquired within 0-10s, the position information data acquired at 20s is the average value of all the acquired position information data acquired within 10s-20s, and the like.
2. Acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
3. judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
if the distance is greater than the preset threshold, it is determined that the corresponding minimum longitude point and the maximum latitude point are two pieces of location information data existing in the living body, and the two pieces of location information data are the target average value, and the averaging process may not be performed at this time.
4. And acquiring the average value of all the first average position information data in the circular area, and determining a second average position information data set, namely acquiring the target average value.
In the process of obtaining the average value of all the first average position information data in the circular region, the number of the first average position information data belonging to the first average position information data set in the circular region may be determined in advance, and when the number is greater than the preset number, the average value is obtained, otherwise, the average value is not obtained.
For example, 30 sets of position information data acquired within 5 minutes may result in a relatively large overall data volume, and when the data is stored and the living body is subsequently positioned, the specific living body position information cannot be provided quickly and effectively, and therefore, the first average position information data after the averaging processing with time as a reference may be averaged again, and the averaging processing may be performed again on the condition of the divided circular area, which not only effectively reduces useless data and reduces the pressure of data storage, but also further positions the position of the living body, so that in the living body query, the specific position of the living body may be determined quickly and effectively with less data.
The method comprises the steps that a group of first average position information data sets can be obtained within every 5 minutes, second average position information data are formed by determining corresponding minimum longitude points and maximum latitude points and calculating the average value of the first average position information data based on a circular area, and one corresponding second average position information data can be determined according to the group of first average position information data to achieve average simplification processing of the data; furthermore, if the distance between the minimum longitude point and the maximum latitude point is greater than the preset threshold, then no averaging process is required, and at this time, two corresponding second averaged location information data, i.e., the minimum longitude point and the maximum latitude point, may be determined for one set of the first averaged location information data.
In the data storage process, the second average position information data can be directly stored within 5 minutes currently, a group of second average position information data can be formed in no 5 minutes, all the second average position information data can form a second average position information data set, and in the living body positioning process, the living body can be accurately positioned by searching the position information data within 5 minutes or 10 minutes recently.
An image information obtaining unit 230, configured to find the living body to be monitored based on the target average value, and capture image information of the living body to be monitored.
When the living body to be monitored is searched, a target average value within a recent preset time period (for example, within 5 minutes or 10 minutes) can be obtained, one or two pieces of target position point information can be determined through the target average value, then, the living body at the target position point is photographed, and corresponding image information is obtained, so that the living body can be further subjected to information confirmation in the following process.
It should be noted that the preset time period, the preset frequency, the preset threshold, the preset number and other data can be set by themselves according to the specific living body type, the size of the culture area and the like, and are not limited to specific values. For example, when the living body is a cow or a sheep, the above parameters can be adjusted to achieve the optimal positioning effect, and in addition, different sampling frequencies can be set in different application scenes, so that the living body can be quickly and accurately positioned under the condition of the minimum calculated amount.
In addition, when image information of a living body to be monitored is shot, video recording can be carried out, so that when a specific position is determined, the living body can be accurately positioned by combining the video, the characteristic identification technology and the like.
And a position information determining unit 240, configured to perform characteristic comparison on the image information and preset characteristic information, and determine position information of the living body to be monitored based on the comparison result.
The step of comparing the image information with preset characteristic information and determining the position information of the living body to be monitored based on the comparison result comprises the following steps:
s410: acquiring original image information of a living body to be monitored;
s420: confirming preset characteristic information of the living body to be monitored based on the original image information, and encrypting and storing the preset characteristic information;
s430: and acquiring the characteristics of the image information and comparing the characteristics with the preset characteristic information.
If the comparison result of the characteristics of the image information and the preset characteristic information meets the requirement, the shot living body to be monitored is the target living body, and the living body positioning work is completed; otherwise, positioning failure is indicated.
In addition, since there may be a plurality of target average values, there may also be a plurality of image information of the control living body captured for this purpose, and at this time, the characteristic information comparison processing may be performed on all the image information one by one, so that the position of the living body which is finally desired to be positioned may be determined quickly.
As a specific example, before a living body enters the culture area, all living bodies may be photographed to obtain corresponding original image information, the original image may include various image information such as a front face image, a left side face image, a right side face image, a left side body image, and a right side body image of the living body, and the characteristic information of the living body in the original image information may be obtained by the AI system, and the characteristic information may include patterns on the surface of the living body, skeleton/bone information, and other characteristic information that can be distinguished between the living bodies.
In addition, still can set up fixed serial number respectively to each live body to beat and to carry out NFC, bluetooth, wifi etc. and can carry out the ear tag that communicates with supervisory equipment, so that fix a position and confirm the live body.
The living body breeding monitoring and positioning method can store the current position information of the living body through the positioning means, and can position and display the living body through the position information when the living body is searched, and can observe the picture information, the video information and the like of the living body through video monitoring. The positioning speed of the living body can be improved, the positioning time is greatly shortened, the working efficiency and the working quality in unit time can be improved, and the personnel cost is reduced.
In addition, the scheme is customized according to the relevant environment of the living body breeding site, various interference factors are completely avoided, the phenomena of position drift and the like are avoided, and in addition, the error of searching for similar individuals can be avoided by combining with an AI identification mode.
Fig. 3 is a schematic structural diagram of an electronic device for implementing the living body culture monitoring and positioning method according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a living being culture monitoring and positioning program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, e.g. a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of living body cultivation monitoring and positioning programs, etc., but also for temporarily storing data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., living body culture monitoring and positioning programs, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device 1 and for displaying a visualized user interface.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims.
The in-vivo breeding monitoring and positioning program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, enable:
acquiring position information data of a living body to be monitored based on monitoring equipment;
grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data;
searching the living body to be monitored based on the target average value, and shooting image information of the living body to be monitored;
and comparing the image information with preset characteristic information, and determining the position information of the living body to be monitored based on the comparison result.
In addition, an optional technical solution is that the step of acquiring location information data of the living body to be monitored based on the monitoring device includes:
uniformly arranging monitoring equipment for monitoring the position of a living body in a culture area;
acquiring distance data between the living body to be monitored and the monitoring equipment through the monitoring equipment;
and determining the position information data of the living body to be monitored based on the distance data and the inherent position information of the monitoring equipment.
In addition, an optional technical solution is that the step of uniformly arranging the monitoring devices for monitoring the positions of the living bodies in the culture area comprises:
constructing a grid region based on the activity region of the living body to be monitored, wherein the side length of the grid region is not more than half of the detection distance of the monitoring equipment;
installing the monitoring device at each vertex of the grid area.
In addition, optionally, the step of acquiring, by a monitoring device, distance data between the living body to be monitored and the monitoring device includes:
setting an ear tag associated with the monitoring equipment on the living body to be detected;
acquiring communication information between all monitoring devices capable of detecting the living body to be monitored and an ear tag of the living body to be monitored;
determining distance data between the living body to be monitored and the monitoring device based on the communication information.
In addition, an optional technical solution is that the step of grouping the position information data according to a preset rule and obtaining a target average value of each group of position information data includes:
acquiring position information data of the living body to be monitored based on a preset frequency, and determining a first average position information data set;
acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
and acquiring the average value of all the first average position information data in the circular area, and determining a second average position information data set, namely acquiring the target average value.
In addition, an optional technical solution is that when the distance is not less than the preset threshold, it is determined that a minimum longitude point and a maximum latitude point in the first average location information data set are two location information data existing in the living body to be monitored, and the target average includes the minimum longitude point and the maximum latitude point.
In addition, an optional technical solution is that the step of comparing the image information with preset feature information and determining the position information of the living body to be monitored based on the comparison result includes:
acquiring original image information of a living body to be monitored;
confirming preset characteristic information of the living body to be monitored based on the original image information, and encrypting and storing the preset characteristic information;
and acquiring the characteristics of the image information and comparing the characteristics with the preset characteristic information.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, which is not described herein again. Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (9)
1. A method for monitoring and locating in-vivo breeding, the method comprising:
acquiring position information data of a living body to be monitored based on monitoring equipment;
grouping the position information data according to a preset rule, and acquiring a target average value of each group of position information data;
searching the living body to be monitored based on the target average value, and shooting image information of the living body to be monitored;
comparing the image information with preset characteristic information, and determining the position information of the living body to be monitored based on a comparison result; wherein the content of the first and second substances,
the step of grouping the position information data according to a preset rule and acquiring a target average value of each group of position information data comprises the following steps:
determining position information data of the living body to be monitored, which are acquired within a preset time period based on a preset frequency, as a group of first average position information data sets;
acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
and acquiring an average value of all the first average position information data in the circular area to form second average position information data, wherein all the second average position information data form a second average position information data set, namely acquiring a target average value of each group of position information data.
2. The living body culture monitoring and positioning method as claimed in claim 1, wherein the step of acquiring position information data of the living body to be monitored based on the monitoring device comprises:
uniformly arranging monitoring equipment for monitoring the position of a living body in a culture area;
acquiring distance data between the living body to be monitored and the monitoring equipment through the monitoring equipment;
and determining the position information data of the living body to be monitored based on the distance data and the inherent position information of the monitoring equipment.
3. The in-vivo culture monitoring and positioning method as set forth in claim 2, wherein the step of uniformly arranging the monitoring devices for monitoring the positions of the living bodies in the culture area comprises:
constructing a grid region based on the activity region of the living body to be monitored, wherein the side length of the grid region is not more than half of the detection distance of the monitoring equipment;
and installing the monitoring equipment at each vertex of the grid area.
4. The living organism breeding monitoring and positioning method according to claim 2, wherein the step of acquiring distance data between the living organism to be monitored and the monitoring device through the monitoring device comprises:
setting an ear tag associated with the monitoring device on the living body to be monitored;
acquiring communication information between all monitoring devices capable of detecting the living body to be monitored and an ear tag of the living body to be monitored;
determining distance data between the living body to be monitored and the monitoring device based on the communication information.
5. The in-vivo aquaculture monitoring and locating method of claim 4,
when the distance is not smaller than the preset threshold, determining that a minimum longitude point and a maximum latitude point in the first average position information data set are two pieces of position information data existing in the living body to be monitored, wherein the target average value comprises the minimum longitude point and the maximum latitude point.
6. The in-vivo aquaculture monitoring and locating method of claim 1,
the step of comparing the image information with preset characteristic information and determining the position information of the living body to be monitored based on the comparison result comprises the following steps:
acquiring original image information of a living body to be monitored;
confirming preset characteristic information of the living body to be monitored based on the original image information, and encrypting and storing the preset characteristic information;
and acquiring the characteristics of the image information and comparing the characteristics with the preset characteristic information.
7. A living organism breeding monitoring and positioning device, the device comprising:
a position information data acquisition unit for acquiring position information data of the living body to be monitored based on the monitoring device;
the target average value acquisition unit is used for grouping the position information data according to a preset rule and acquiring a target average value of each group of position information data;
the image information acquisition unit is used for searching the living body to be monitored based on the target average value and shooting the image information of the living body to be monitored;
the position information determining unit is used for comparing the image information with preset characteristic information and determining the position information of the living body to be monitored based on a comparison result; wherein the content of the first and second substances,
the target average value acquiring unit includes: determining the position information data of the living body to be monitored, which is acquired within a preset time period based on a preset frequency, as a group of first average position information data sets;
acquiring the distance between the minimum longitude point and the maximum latitude point in each group of first average position information data sets;
judging whether the distance is smaller than a preset threshold value or not, and drawing a circle by taking a connecting line between the minimum longitude point and the maximum latitude point as a diameter when the distance is smaller than the preset threshold value to form a circular area;
and acquiring an average value of all the first average position information data in the circular area to form second average position information data, wherein all the second average position information data form a second average position information data set, namely acquiring a target average value of each group of position information data.
8. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the in vivo aquaculture monitoring and localization method of any one of claims 1 to 6.
9. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for in-vivo aquaculture monitoring and localization according to any one of claims 1 to 6.
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| JP2019146498A (en) * | 2018-02-26 | 2019-09-05 | 株式会社晃伸製機 | Dead chicken detection method and dead chicken detection system |
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| JP2019146498A (en) * | 2018-02-26 | 2019-09-05 | 株式会社晃伸製機 | Dead chicken detection method and dead chicken detection system |
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