CN110260884B - Biological monitoring method, terminal and server - Google Patents
Biological monitoring method, terminal and server Download PDFInfo
- Publication number
- CN110260884B CN110260884B CN201910441972.7A CN201910441972A CN110260884B CN 110260884 B CN110260884 B CN 110260884B CN 201910441972 A CN201910441972 A CN 201910441972A CN 110260884 B CN110260884 B CN 110260884B
- Authority
- CN
- China
- Prior art keywords
- terminal
- monitored object
- biological
- information
- activity state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000000694 effects Effects 0.000 claims abstract description 54
- 230000007613 environmental effect Effects 0.000 claims abstract description 50
- 230000008859 change Effects 0.000 claims abstract description 26
- 238000004891 communication Methods 0.000 claims description 33
- 230000006399 behavior Effects 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 4
- 241001465754 Metazoa Species 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 230000036760 body temperature Effects 0.000 description 6
- 230000001133 acceleration Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000033764 rhythmic process Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C23/00—Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
- G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Theoretical Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The application discloses a biological monitoring method, a terminal and a server, relates to the technical field of computers, and is used for accurately and comprehensively monitoring a monitored object. The method comprises the following steps: the terminal acquires the biological signs of a monitored object; the terminal acquires the behavior characteristics of the monitored object; the terminal acquires the positioning change information of the monitored object; the terminal obtains the moving mode of the monitored object according to the behavior characteristics and the positioning change information; the terminal acquires environmental information; and the terminal obtains the activity state of the monitored object according to the biological sign, the moving mode, the environmental information and the judgment model. The embodiment of the application is applied to the monitoring of living beings.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a biological monitoring method, a terminal, and a server.
Background
With the intensive research on wild animals, the monitoring and positioning technology for wild animals is also rapidly developed, and in the prior art, information acquisition, monitoring and positioning are generally performed on the wild animals by wearing a monitoring terminal on the animals, so that the purpose of tracking and protecting the wild animals is achieved.
Among them, positioning is performed by a Global Positioning System (GPS) which is a common method, but the GPS requires a large current to drive to meet the communication power requirement of the satellite, and the battery of the monitoring terminal can only be maintained for a short time. The number of animal groups can be counted by Radio Frequency Identification (RFID) technology, but a manager is required to perform close-range operation, and the risk to both the animals and the manager is high. For collecting biological signs of animals, such as body temperature, respiration and the like, the biological signs are generally sent to a server through a second generation (2nd generation, 2G) network or a fourth generation (4th generation, 4G) network, but the 2G network has been developed to the end stage at present, the number of the biological signs capable of being carried is limited, a large number of monitoring terminals are difficult to support to access the network, and the 4G network has high transmission speed, large access capacity, low bandwidth utilization rate and higher power consumption. Meanwhile, the existing monitoring terminal only has a basic information acquisition function, cannot monitor comprehensively, can often generate a false alarm condition, and causes great difficulty to analysis and processing, thereby greatly increasing the workload.
Disclosure of Invention
The embodiment of the application provides a biological monitoring method, a terminal and a server, which are used for solving the problem that a monitored object is difficult to monitor in the prior art and accurately and comprehensively monitoring the monitored object.
In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:
in a first aspect, embodiments of the present application provide a biological monitoring method, including:
the terminal acquires the biological signs of a monitored object;
the terminal acquires the behavior characteristics of the monitored object;
the terminal acquires the positioning change information of the monitored object;
the terminal obtains the moving mode of the monitored object according to the behavior characteristics and the positioning change information;
the terminal acquires environmental information;
and the terminal obtains the activity state of the monitored object according to the biological sign, the moving mode, the environmental information and the judgment model.
In a second aspect, embodiments of the present application provide a biological monitoring method, including:
the server receives the biological signs, the moving mode, the environmental information and the activity state of the monitored object from the terminal;
the server obtains an updated judgment model according to the biological sign, the moving mode, the environmental information, the activity state and an original judgment model;
and the server sends the updated judgment model to the terminal.
In a third aspect, an embodiment of the present application provides a terminal, including:
the acquisition module is used for acquiring biological signs of the monitored object;
the acquisition module is also used for acquiring the behavior characteristics of the monitored object;
the communication module is also used for acquiring the positioning change information of the monitored object;
the processing module is used for obtaining the moving mode of the monitored object according to the behavior characteristics and the positioning change information;
the acquisition module is also used for acquiring environmental information;
the processing module is further configured to obtain an activity state of the monitored object according to the biological sign, the movement mode, the environmental information and the judgment model obtained by the acquisition module.
In a fourth aspect, an embodiment of the present application provides a server, including:
the communication module is used for receiving the biological signs, the movement mode, the environmental information and the activity state of the monitored object from the terminal;
the processing module is used for obtaining an updated judgment model according to the biological sign, the movement mode, the environmental information, the activity state and an original judgment model;
the communication module is further configured to send the updated judgment model to the terminal.
In a fifth aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the method of biological monitoring of the first or second aspect.
In a sixth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of biological monitoring according to the first or second aspect.
In a seventh aspect, a terminal is provided, including: a processor and a memory, the memory being used to store a program, the processor calling the program stored in the memory to perform the biological monitoring method according to the first aspect.
In an eighth aspect, there is provided a server comprising: a processor and a memory, the memory being used to store a program, the processor calling the program stored in the memory to perform the biological monitoring method according to the second aspect.
According to the biological monitoring method, the terminal and the server, the biological signs, the behavior characteristics, the positioning change information, the moving mode and the environmental information of the monitored object are obtained through the terminal, and the activity state of the monitored object is obtained according to the biological signs, the moving mode, the environmental information and the judgment model. The terminal automatically collects various related data of the monitored object, so that the information of the monitored object is comprehensively monitored, and meanwhile, the activity state of the monitored object can be automatically judged according to the related data, so that the problems of time waste and inaccuracy caused by manual judgment are solved. Therefore, the problem that the monitoring of the monitored object is difficult in the prior art is solved, and the monitored object is accurately and comprehensively monitored.
Drawings
Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application;
fig. 2 is a schematic hardware structure diagram of a terminal according to an embodiment of the present application;
fig. 3 is a schematic hardware structure diagram of a server according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of a biological monitoring method according to an embodiment of the present application;
fig. 7 is a schematic flow chart of another biological monitoring method provided in an embodiment of the present application.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present application provides a communication system. The communication system includes a terminal 10, a server 20, and a base station 30. The terminal 10 may be a wearable device such as a collar or a foot ring.
The terminal 10 and the base station may be connected wirelessly, and the base station 30 and the server 20 may be connected by wire. The terminal 10 may be placed on the monitored object in a wearable manner, and the terminal 10 may obtain necessary information such as biological signs, behavior characteristics, positioning change information, and environmental information of the monitored object according to requirements to execute the biological monitoring method in the following embodiments of the present application.
As shown in fig. 2, an embodiment of the present application provides a hardware structure diagram of a terminal. The terminal 10 may include components such as a processor 110, memory 120, an on-board antenna 130, a camera 140, a sensor 150, and a power supply 160.
Among other things, the processor 110 connects various parts of the terminal 10 using various interfaces and lines, and performs various functions of the terminal 10 and processes data by running or executing software programs stored in the memory 120 and calling data stored in the memory 120. The memory 120 may be used to store software programs and data, and the processor 110 may execute the software programs or data stored in the memory 120. The on-board antenna 130 may be used for transmitting and receiving information, may receive downlink data of the base station, and then give the downlink data to the processor 110 for processing, and may transmit uplink data to the base station. The camera 140 may capture environmental data in the form of pictures or videos for processing by the processor 110. The terminal 10 may include various sensors 150 such as a temperature and humidity sensor 151, a body temperature sensor 152, a heart rate sensor 153, a gyroscope 154, an acceleration sensor 155, and other sensors. The power supply 160 may be logically coupled to the processor 110 through a power management system to manage charging, discharging, and power consumption functions through the power management system.
As shown in fig. 3, the embodiment of the present application provides a schematic structural diagram of a server, and the server 20 includes a processor 201, a memory 202, a communication interface 203, and a communication bus 204.
The processor 201 is configured to execute computer-executable instructions stored in the memory 202, so as to implement the steps or actions of the biological monitoring method in the embodiments described below. The memory 202 is used for storing computer-executable instructions for implementing the present solution, and is controlled by the processor 201 for execution. The communication interface 203 is used for message interaction with the base station 30. Communication bus 204 is used to transfer information between the various components of server 20.
It will be understood by those of ordinary skill in the art that the configurations shown in fig. 2 and 3 are only illustrative and do not limit the configurations of the terminal 10 and the server 20. For example, the processor 110 and the on-board antenna 130 in the terminal 10 may be integrated on an NB-IoT module having a built-in antenna, a built-in chip-based subscriber identity module (e-SIM) having a unique code, and a narrowband internet of things (NB-IoT) chip, and the power supply 160 may be composed of a solar cell capable of converting solar energy into electric energy and storing the electric energy and a voltage conversion device converting a voltage of the solar cell into a standard voltage.
As shown in fig. 4, the embodiment of the present application provides a schematic structural diagram of the terminal, where the terminal 10 includes: the device comprises an acquisition module 11, a processing module 12 and a communication module 13.
Specifically, the acquisition module 11 may acquire data necessary for the below-described embodiments of the present invention of the biological monitoring method through the camera 140 and the sensor 150 in the terminal 10 shown in fig. 2, the processing module 12 may call the computer execution instructions stored in the memory 120 through the processor 110 in the terminal 10 shown in fig. 2 to implement the below-described embodiments of the present invention of the biological monitoring method, and the communication module 13 may implement the sending and/or receiving function through the on-board antenna 130 in the terminal 10 shown in fig. 2.
As shown in fig. 5, an embodiment of the present application provides a schematic structural diagram of the server, where the server 20 includes: communication module 21, processing module 22.
Specifically, the communication module 21 may implement a sending and/or receiving function through the communication interface 203 of the server 20 shown in fig. 3, and the processing module 22 may invoke a computer-executed instruction stored in the memory 202 through the processor 201 in the server 20 shown in fig. 3 to implement the biological monitoring method according to the following embodiment of the present application.
Examples 1,
Fig. 6 is a flowchart illustrating a biological monitoring method according to an embodiment of the present application, which is applied to the communication system shown in fig. 1. The biological monitoring method specifically comprises the following steps:
s601, the terminal obtains the biological signs of the monitored object.
Specifically, the acquisition module 11 of the terminal 10 acquires a biological sign of the monitored object.
The monitored object can be an animal, and the biological sign can be basic biological signs such as body temperature and heart rate.
Set up terminal 10 in the body surface of control object through modes such as wearing, gather control object's biological sign simultaneously through sensor 150 in terminal 10, for example gather control object's body temperature through body temperature sensor 152, gather control object's rhythm of the heart etc. through rhythm of the heart sensor 153. According to actual needs, a greater variety of sensors 150 can be used to acquire more detailed biological signs to improve the monitoring accuracy, which is not limited herein.
Alternatively, the terminal 10 may determine whether the monitored object is in an abnormal state according to the biological body of the monitored object and a preset condition. When the terminal 10 determines that the monitored object is in an abnormal state, the terminal may send alarm information to the server 20 through the base station 30 and transmit the acquired biological sign of the monitored object.
S602, the terminal acquires the behavior characteristics of the monitored object.
Specifically, the acquisition module 11 of the terminal 10 acquires behavior characteristics of the monitored object.
Wherein the behavior characteristic may be rolling, acceleration, sudden stop, etc.
The terminal 10 may obtain an angle change, such as a pitch angle, of the monitored object through the gyroscope 154 or other sensors with similar functions, and detect a moving speed change, such as acceleration, deceleration, etc., of the monitored object through the acceleration sensor 155, thereby determining a current behavior characteristic of the monitored object.
S603, the terminal acquires the positioning change information of the monitored object.
Specifically, the communication module 11 of the terminal 10 acquires the location change information of the monitored object.
The positioning change information may be a moving direction, a moving distance, and the like.
A communication module 11 of the terminal 10 acquires position information of at least one nearest base station and indication information from the base station, where the indication information is used to indicate a Received Signal Strength Indication (RSSI) obtained by the base station detecting the terminal; the terminal 10 obtains the positioning information of the monitored object according to the position information, the indication information and the Received Signal Strength (RSS) fingerprint identification algorithm; the terminal 10 obtains the positioning change information from the positioning information in the unit time.
The terminal 10 determines at least one base station 30 closest to the terminal through the communication module 11, sends a request to the base station 30, obtains position information of the base station 30 and RSSI (received signal strength indicator) obtained by the base station 30 through detection of the terminal 10, obtains a set of equation sets of position solutions by combining with an RSS position fingerprint algorithm, obtains initial positioning coordinates by performing non-recursive operation through a Chan algorithm, expands Taylor series (taylor series) by taking the initial positioning coordinates as an initial value, calculates an error value through multiple iterations, and finally obtains final positioning according to the initial positioning coordinates and the error value. And judging the positioning change information of the monitored object in unit time by acquiring the final positioning in unit time. According to practical situations, the terminal 10 may obtain the location information and the RSSI of the plurality of base stations 30 to improve the positioning accuracy, which is not limited herein.
And S604, the terminal obtains the moving mode of the monitored object according to the behavior characteristics and the positioning change information.
Specifically, the processing module 12 of the terminal 10 obtains the moving mode of the monitored object according to the behavior characteristics and the positioning change information.
For example, if the acquired behavior feature is acceleration and the positioning change information is moving about 500 meters in the north direction, the monitored object is considered to have moved 500 meters in the north direction.
S605, the terminal acquires the environment information.
Specifically, the acquisition module 11 of the terminal 10 acquires the environmental information.
The environment information may be obtained by analyzing the environment data acquired by the acquisition module 11 by the terminal 10, where the environment data includes picture or video information of the surrounding environment, temperature, humidity, and the like.
The camera 140 in the terminal 10 can collect environmental data in the form of pictures or videos, acquire ambient temperature and humidity through the temperature and humidity sensor 151, extract image characteristic data in the images, perform characteristic matching on the image characteristic data according to a preset algorithm, obtain environmental information by combining the temperature and the humidity, and accurately identify the environment around the monitored object.
For example, when the image feature data in the image is matched into flames according to a preset algorithm, the temperature is higher than the normal temperature, and the humidity is lower, it can be obtained that the environmental information is a fire.
Optionally, the surrounding security level may be obtained according to the environmental information and a preset condition, and if the environmental information is a fire, the surrounding security level is low.
And S606, the terminal obtains the activity state of the monitored object according to the biological signs, the moving mode, the environmental information and the judgment model.
Specifically, the processing module 12 of the terminal 10 obtains the activity state of the monitored object according to the biological signs, the movement mode, the environmental information and the judgment model.
The activity state may be running, injured, dead, or resting, among others.
The activity state of the monitored object is accurately judged by combining the biological signs, the moving mode, the environmental information and the judgment model of the monitored object, so that the problems of time waste and inaccuracy caused by manual judgment according to the acquired data are solved.
Illustratively, when the body temperature and the heart rate of the monitored subject are in a normal state, the moving mode is static, and the environmental information is a cave, the rest state of the subject can be obtained according to the judgment model.
According to the biological monitoring method provided by the embodiment of the application, the biological signs, the behavior characteristics, the positioning change information, the moving mode and the environmental information of the monitored object are obtained through the terminal, and then the activity state of the monitored object is obtained according to the biological signs, the moving mode, the environmental information and the judgment model. The terminal automatically collects various related data of the monitored object, so that the information of the monitored object is comprehensively monitored, and meanwhile, the activity state of the monitored object can be automatically judged according to the related data, so that the problems of time waste and inaccuracy caused by manual judgment are solved. Therefore, the problem that the monitoring of the monitored object is difficult in the prior art is solved, and the monitored object is accurately and comprehensively monitored.
Optionally, as shown in fig. 7, after S606, S607-S611 are further included, configured to update the determination model to determine the activity state of the monitoring object more accurately:
and S607, when the activity state obtained this time is different from the activity state obtained last time, sending the biological physical sign, the movement mode, the environmental information and the activity state to the server.
Specifically, when the activity state obtained this time is different from the activity state obtained last time, the communication module 13 of the terminal 10 transmits the biological sign, the movement pattern, the environmental information, and the activity state to the server 20.
Optionally, before uploading, the terminal 10 may process data of biological signs, a moving mode, environmental information, and an activity state to reduce bandwidth pressure, for example, reduce a bit rate of a video, and when the video content is a still picture, the video content may be directly output as an image.
And S608, the server receives the biological signs, the movement mode, the environmental information and the activity state of the monitored object from the terminal.
Specifically, the communication module 21 of the server 20 receives the biological signs, the movement pattern, the environmental information, and the activity state of the monitored subject from the terminal 10.
The server 20 may store the biological signs, the movement modes, the environmental information and the activity states of the different monitoring subjects uploaded by the plurality of terminals 10 in different areas, so that the user can analyze the population quantity, the habits and the like of the plurality of monitoring subjects.
And S609, the server obtains an updated judgment model according to the biological signs, the movement mode, the environmental information, the activity state and the original judgment model.
Specifically, the processing module 22 of the server 20 obtains an updated judgment model according to the biological signs, the movement mode, the environmental information, the activity status, and the original judgment model.
Wherein, according to the difference of the monitored object, a plurality of different judgment models can exist.
After the server 20 receives the biological signs, the movement mode, the environmental information and the activity state sent by the terminal 10, the data can be analyzed according to the original judgment model corresponding to the monitored object, and after a certain amount of data is accumulated, the original judgment model can be iterated through supervised learning, so that the original judgment model is optimized to be more accurate.
Optionally, when the activity state obtained by the server 20 according to the biological physical sign, the moving mode, the environmental information and the original determination model is different from the activity state sent by the terminal 10, the server 20 may send a re-determination instruction to the terminal 10 to perform re-determination on the information sent by the terminal 10 last time, so as to avoid a determination error of the terminal 10.
S610, the server sends the updated judgment model to the terminal.
Specifically, the communication module 21 of the server 20 transmits the updated determination model to the terminal 10.
When the update of the judged model is completed, the server 20 may transmit the updated judged model to the terminal 10 through over-the-air technology (OTA).
S611, the terminal receives the updated judgment model from the server.
Specifically, the communication module of the terminal 10 receives the updated judgment model from the server 20.
The updated judgment model is obtained by the server 20 according to the biological signs, the movement mode, the environmental information and the activity state.
The terminal 10, upon receiving the updated determination model, determines the active state of the monitored object using the updated determination model in place of the original determination model.
Embodiments of the present application provide a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a biological monitoring method as described in fig. 6-7.
Embodiments of the present application provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform a biological monitoring method as described in fig. 6-7.
An embodiment of the present application provides a terminal, including: a processor and a memory, the memory for storing a program, the processor calling the program stored in the memory to perform the biological monitoring method as described in fig. 6-7.
An embodiment of the present application provides a server, including: a processor and a memory, the memory for storing a program, the processor calling the program stored in the memory to perform the biological monitoring method as described in fig. 6-7.
Since the biological monitoring apparatus, the computer-readable storage medium, and the computer program product in the embodiments of the present application can be applied to the biological monitoring method, the technical effects obtained by the embodiments of the method can also be obtained by referring to the embodiments of the method, which are not described herein again.
The above units may be individually configured processors, or may be implemented by being integrated into one of the processors of the controller, or may be stored in a memory of the controller in the form of program codes, and the functions of the above units may be called and executed by one of the processors of the controller. The processor described herein may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
Claims (10)
1. A biological monitoring method, comprising:
the terminal acquires the biological signs of a monitored object;
the terminal acquires the behavior characteristics of the monitored object;
the terminal acquires the positioning change information of the monitored object;
the terminal obtains the moving mode of the monitored object according to the behavior characteristics and the positioning change information;
the terminal acquires environmental information;
the terminal obtains the activity state of the monitored object according to the biological sign, the moving mode, the environmental information and a judgment model;
after the terminal obtains the activity state of the monitored object according to the biological sign, the moving mode and the environmental information, the method further comprises the following steps:
when the activity state obtained this time is different from the activity state obtained last time, the biological physical sign, the moving mode, the environment information and the activity state are sent to a server;
and receiving an updated judgment model from the server, wherein the updated judgment model is obtained by the server according to the biological sign, the movement mode, the environmental information, the activity state and an original judgment model.
2. The method according to claim 1, wherein the acquiring, by the terminal, the location change information of the monitored object includes:
the terminal acquires position information of at least one nearest base station and indication information from the base station, wherein the indication information is used for indicating a Received Signal Strength Indication (RSSI) detected by the base station on the terminal;
the terminal obtains the positioning information of the monitored object according to the position information, the indication information and a received signal strength RSS fingerprint identification algorithm;
and the terminal obtains positioning change information according to the positioning information in unit time.
3. A biological monitoring method, comprising:
the server receives the biological signs, the moving mode, the environmental information and the activity state of the monitored object from the terminal;
the server obtains an updated judgment model according to the biological sign, the moving mode, the environmental information, the activity state and an original judgment model;
the server sends the updated judgment model to the terminal;
and the server also receives the biological sign, the moving mode, the environmental information and the activity state from the terminal when the activity state obtained by the terminal at this time is different from the activity state obtained at the previous time.
4. A terminal, comprising:
the acquisition module is used for acquiring biological signs of the monitored object;
the acquisition module is also used for acquiring the behavior characteristics of the monitored object;
the communication module is also used for acquiring the positioning change information of the monitored object;
the processing module is used for obtaining the moving mode of the monitored object according to the behavior characteristics and the positioning change information;
the acquisition module is also used for acquiring environmental information;
the processing module is further configured to obtain an activity state of the monitored object according to the biological sign, the movement mode, the environmental information and the judgment model obtained by the acquisition module;
the communication module is further configured to:
when the activity state obtained this time is different from the activity state obtained last time, the biological physical sign, the moving mode, the environment information and the activity state are sent to a server;
the communication module is further configured to:
and receiving an updated judgment model from the server, wherein the updated judgment model is obtained by the server according to the biological sign, the movement mode, the environmental information, the activity state and an original judgment model.
5. The terminal of claim 4, wherein the communication module is specifically configured to:
acquiring position information of at least one nearest base station and indication information from the base station, wherein the indication information is used for indicating a Received Signal Strength Indicator (RSSI) detected by the base station on the terminal;
obtaining the positioning information of the monitored object according to the position information, the indication information and a received signal strength RSS fingerprint identification algorithm;
and obtaining positioning change information according to the positioning information in unit time.
6. A server, comprising:
the communication module is used for receiving the biological signs, the movement mode, the environmental information and the activity state of the monitored object from the terminal;
the processing module is used for obtaining an updated judgment model according to the biological sign, the movement mode, the environmental information, the activity state and an original judgment model;
the communication module is further configured to send the updated judgment model to the terminal;
the communication module is also used for receiving the biological sign, the moving mode, the environmental information and the activity state from the terminal when the activity state obtained by the terminal at this time is different from the activity state obtained at the previous time.
7. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the biological monitoring method of any of claims 1-2 or 3.
8. A computer program product containing instructions which, when run on a computer, cause the computer to perform the biological monitoring method of any of claims 1-2 or 3.
9. A terminal, comprising: a processor and a memory, the memory for storing a program, the processor calling the program stored in the memory to perform the biological monitoring method of any of claims 1-2.
10. A server, comprising: a processor and a memory, the memory for storing a program, the processor calling the program stored by the memory to perform the biological monitoring method of claim 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910441972.7A CN110260884B (en) | 2019-05-24 | 2019-05-24 | Biological monitoring method, terminal and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910441972.7A CN110260884B (en) | 2019-05-24 | 2019-05-24 | Biological monitoring method, terminal and server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110260884A CN110260884A (en) | 2019-09-20 |
| CN110260884B true CN110260884B (en) | 2021-07-13 |
Family
ID=67915369
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910441972.7A Active CN110260884B (en) | 2019-05-24 | 2019-05-24 | Biological monitoring method, terminal and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110260884B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112167094A (en) * | 2020-10-16 | 2021-01-05 | 唐琪林 | Remote monitoring method and device based on Internet |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6216053B1 (en) * | 1992-11-09 | 2001-04-10 | Lextron, Inc. | Apparatus and method for uniformly delivering feed rations along a feedbunk using global positioning system |
| CN102509305B (en) * | 2011-09-26 | 2014-08-06 | 浙江工业大学 | Animal behavior detection device based on omnidirectional vision |
| CN102608571B (en) * | 2012-03-08 | 2013-09-11 | 西北大学 | Target location method for wireless sensor network for wild animals |
| CN105025087B (en) * | 2015-06-15 | 2018-06-22 | 山东大学 | One kind migrates Target self-determination Internet of Things solid monitoring integrated apparatus and its method of work |
| CN204837512U (en) * | 2015-08-25 | 2015-12-09 | 金陵科技学院 | Intelligent neck ring is used to multi -functional animal |
| CN105975981A (en) * | 2016-04-27 | 2016-09-28 | 北京小米移动软件有限公司 | Epidemic situation monitoring method and apparatus thereof |
| WO2018039336A1 (en) * | 2016-08-23 | 2018-03-01 | i4c Innovations Inc. | External and internal monitoring of animal physiology and behavior |
| CN106376482B (en) * | 2016-08-29 | 2019-12-17 | 深圳市沃特沃德股份有限公司 | Animal fine motion judgment method and device and fine motion indication device |
| CN108065938A (en) * | 2016-11-17 | 2018-05-25 | 南京国雅信息科技有限公司 | Animal activity monitors system and the active state recognition methods based on neutral net |
| CN106646338B (en) * | 2016-12-07 | 2019-07-16 | 华南理工大学 | A kind of quickly accurate indoor orientation method |
| CN107423745A (en) * | 2017-03-27 | 2017-12-01 | 浙江工业大学 | Fish activity classification method based on neural network |
| CN207201700U (en) * | 2017-08-11 | 2018-04-10 | 深圳市宝凯仑科技有限公司 | The wearable device of milk cow |
| CN107481159A (en) * | 2017-09-30 | 2017-12-15 | 江苏农林职业技术学院 | Domestic animal biological characteristic real time on-line monitoring system based on LoRaWAN |
-
2019
- 2019-05-24 CN CN201910441972.7A patent/CN110260884B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110260884A (en) | 2019-09-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20190320245A1 (en) | Nodal dynamic data acquisition and dissemination | |
| US10048111B2 (en) | Smart weight scale, smart weight management system based on internet of things and method of measuring weight thereof | |
| CN110362492B (en) | Artificial intelligence algorithm testing method, device, server, terminal and storage medium | |
| CN109341833B (en) | Intelligent weighing apparatus and remote monitoring system and method for working state thereof | |
| WO2021084519A1 (en) | System for multi-path 5g and wi-fi motion detection | |
| US20130013776A1 (en) | Information processing device, information processing system, information processing method, and information storage medium | |
| CN110881211A (en) | Power saving method, device, storage medium and terminal | |
| CN113124857B (en) | Method for determining entrance and exit positions, related device, equipment and storage medium | |
| CN109993234B (en) | Unmanned driving training data classification method and device and electronic equipment | |
| CN110260884B (en) | Biological monitoring method, terminal and server | |
| CN113436295B (en) | Living body culture monitoring track drawing method, device, equipment and storage medium | |
| CN118015598A (en) | Target detection model construction method, device and target detection system | |
| CN110730326B (en) | Imaging system, imaging device, communication terminal, and computer-readable storage medium | |
| CN203848877U (en) | System for remotely monitoring temperature and humidity in station area communication machine rooms | |
| CN207992428U (en) | A kind of Medical Devices indoor locating system based on RFID | |
| CN106292610B (en) | Intelligent home control system | |
| CN111107139B (en) | Information pushing method, device, equipment and storage medium | |
| CN210297761U (en) | Sheep behavior monitoring system based on action recognition | |
| CN114582038A (en) | Inspection management method and device, electronic equipment and computer readable storage medium | |
| CN113964396A (en) | Battery, battery identification method and device, electronic equipment and readable storage medium | |
| CN113396831B (en) | Living body breeding monitoring and positioning method, device, equipment and storage medium | |
| KR20210150076A (en) | System and method for analyzing line constant of underground transmission line | |
| CN110855797A (en) | Sheep behavior monitoring system and method based on action recognition | |
| CN213276958U (en) | Traffic information detector | |
| CN109765821A (en) | Detect the method and terminal device of outdoor sport equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |