CN115002197A - Position monitoring method and device - Google Patents
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Abstract
The application discloses a position monitoring method and device, which can be applied to the field of artificial intelligence. The method and the device determine the position of the first network element through the acquired identifier of the first network element, and determine the relative distance between the first device and the first network element according to the signal intensity received by the first device and a preset signal intensity attenuation model. And determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object. In the present application, the relative distance between the first device and the first network element may be determined according to the signal strength received by the first device and a preset signal strength attenuation model. The position of the monitored object can be determined according to the strength of the signal received by the first device bound with the monitored object no matter how the position of the monitored object changes. And the same position of a plurality of monitoring objects can be monitored in real time without manual participation. Thereby improving the efficiency of position monitoring.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a location monitoring method.
Background
In recent years, in order to widen financing guarantee channels of enterprises and farmers and solve the problem of difficult agricultural financing, an animal living body mortgage financing mode appears. The live animal mortgage is a novel financing mode that live animals are used as mortgage guarantee articles when enterprises or individuals apply for loans to financial institutions such as banks. For example, credit products using cows as collateral, living turtle collateral, and the like have been available. However, the disadvantage of the animal living mortgage is that the number is large, and the movement is not easy to be monitored by people.
At present, the monitoring of the mortgage living animal is mainly in a form of field investigation and depends on manual means to monitor the mortgage living animal. Because the manual monitoring mode is easily influenced by human subjective factors and external factors, and a plurality of mortgage animal living bodies cannot be effectively monitored together. The problem that the position of an object to be monitored is monitored manually, the efficiency is low, and real-time monitoring cannot be achieved.
Therefore, how to improve the efficiency of position monitoring is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
Based on the above problems, the present application provides a method and an apparatus for position monitoring, which improve the efficiency of position monitoring. The embodiment of the application discloses the following technical scheme.
A first aspect. The position monitoring method provided by the application comprises the following steps:
acquiring monitoring data reported by a first network element, wherein the monitoring data comprises an identifier of the first network element and the signal strength received by first equipment from the first network element;
determining a location of the first network element based on the identity of the first network element; determining the relative distance between the first equipment and the first network element according to the signal intensity received by the first equipment and a preset signal intensity attenuation model;
and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
Optionally, the signal intensity attenuation model is obtained by:
obtaining a construction parameter, where the construction parameter includes a plurality of distances between the first device and the first network element, and a signal strength received by the first device corresponding to each of the plurality of distances;
based on the constructed parameters, a signal intensity attenuation model is determined.
Optionally, the method includes:
and the first equipment and the first network element communicate through a ZETA communication protocol.
Optionally, the determining the position of the monitored object according to the position of the first network element, the relative distance between the first device and the first network element, and the corresponding relationship between the first device and the monitored object includes:
determining the position of the first equipment according to the position of the first network element and the relative distance between the first equipment and the first network element;
and determining the position of the monitored object corresponding to the first equipment according to the corresponding relation between the first equipment and the monitored object.
Optionally, the method further includes:
and sending out warning information in response to the fact that the relative distance between the monitored object and the first network element is larger than a distance threshold value.
In a second aspect, the present application provides a position monitoring apparatus, including:
an obtaining unit, configured to obtain monitoring data reported by a first network element, where the monitoring data includes an identifier of the first network element and a signal strength received by a first device from the first network element;
a determining unit, configured to determine a location of the first network element based on the identifier of the first network element; determining the relative distance between the first equipment and the first network element according to the signal intensity received by the first equipment and a preset signal intensity attenuation model; and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
Optionally, in the apparatus, the signal intensity attenuation model is obtained by:
obtaining a construction parameter, where the construction parameter includes a plurality of distances between the first device and the first network element, and a signal strength received by the first device corresponding to each of the plurality of distances.
Optionally, the apparatus includes:
and the first equipment and the first network element communicate with each other through a ZETA communication protocol.
Optionally, the determining unit is specifically configured to:
determining the position of the first equipment according to the position of the first network element and the relative distance between the first equipment and the first network element;
and determining the position of the monitored object corresponding to the first equipment according to the corresponding relation between the first equipment and the monitored object.
Optionally, the apparatus further comprises:
and the warning unit is used for sending warning information in response to the fact that the relative distance between the monitored object and the first network element is greater than a distance threshold value.
In a third aspect, an apparatus is provided in an embodiment of the present application, where the apparatus includes a memory for storing instructions or codes and a processor for executing the instructions or codes to cause the apparatus to perform the method of any one of the foregoing first aspects.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where codes are stored in the computer storage medium, and when the codes are executed, an apparatus executing the codes implements the method according to any one of the foregoing first aspects.
Compared with the prior art, the method has the following beneficial effects:
the method and the device determine the position of the first network element through the acquired identifier of the first network element, and determine the relative distance between the first device and the first network element according to the signal intensity received by the first device and a preset signal intensity attenuation model. And determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object. Compared with the prior art, the method for monitoring the position of the living mortgage animal by means of manual work is adopted. In the present application, the relative distance between the first device and the first network element may be determined according to the signal strength received by the first device and a preset signal strength attenuation model. The position of the monitored object can be determined according to the strength of the signal received by the first device bound with the monitored object no matter how the position of the monitored object changes. And the same position of a plurality of monitoring objects can be monitored in real time without manual participation. Therefore, the problems that a manual monitoring mode cannot effectively monitor a plurality of mortgage animal living bodies together, the monitoring efficiency is low, and real-time monitoring cannot be achieved are solved. The efficiency of position monitoring is improved.
Drawings
To illustrate the technical solutions in the present embodiment or the prior art more clearly, the drawings needed to be used in the description of the embodiment or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a location monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a specific implementation of a position monitoring device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
It should be noted that the method and the device for position monitoring provided by the application are used in the field of artificial intelligence. The foregoing is merely an example, and does not limit the application field of the method and apparatus name provided in the present application.
The inventor provides the technical scheme of the application through research. In the present application, the relative distance between the first device and the first network element may be determined according to the signal strength received by the first device and a preset signal strength attenuation model. The position of the monitored object can be determined according to the strength of the signal received by the first device bound with the monitored object no matter how the position of the monitored object changes. And the same position of a plurality of monitoring objects can be monitored in real time without manual participation. Therefore, the problems that a manual monitoring mode cannot effectively monitor a plurality of mortgage animal living bodies together, the monitoring efficiency is low, and real-time monitoring cannot be achieved are solved. The efficiency of position monitoring is improved.
The method provided by the embodiment of the application can be executed on the terminal equipment. The terminal device may be, for example, a mobile phone, a tablet computer, a computer, or the like.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. The method provided by the embodiment of the present application is explained as an example executed by a database. In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. The method provided by the embodiment of the present application is described as an example of the system implementation.
Fig. 1 is a flowchart of a location monitoring method according to an embodiment of the present application, where as shown in fig. 1, the method includes:
s101: the method comprises the steps of obtaining monitoring data reported by a first network element, wherein the monitoring data comprise an identifier of the first network element and the signal strength received by first equipment from the first network element.
The first equipment collects monitoring data, then the first equipment sends the collected monitoring data to the first network element, and the first network element reports the monitoring data to the system. The monitoring data may include an identification of the first network element and a signal strength received by the first device from the first network element.
Explained further, the first device may be a ZETA animal earring, and a corresponding first device may be bound to each monitoring object, so that the number of the first devices may be plural. The first network element may be a ZETA gateway, and the number of the first network elements to be deployed may be determined according to the monitoring range, where the coverage range of each first network element indoors is generally 2000-5000. It should be noted that the ZETA is an LPWAN international communication standard developed in China, provides an algorithm-upgraded Internet of things connection technology for embedded end intelligence, has the advantages of low power consumption, universal connection, low cost, wide coverage, strong safety and the like, and can be used as an effective supplement for a 5G technology.
S102: determining a location of the first network element based on the identity of the first network element; and determining the relative distance between the first equipment and the first network element according to the signal strength received by the first equipment and a preset signal strength attenuation model.
After the system acquires the monitoring data reported by the first network element, the position of the first network element is determined based on the identifier of the first network element in the monitoring data, and then the relative distance between the first equipment and the first network element is determined according to the signal intensity received by the first equipment in the monitoring data and a preset signal intensity attenuation model. The signal intensity attenuation model can be determined through the acquired construction parameters. The construction parameters may include a plurality of distances between the first device and the first network element, and a signal strength received by the first device for each of the plurality of distances. For a clearer understanding of the scheme, for example, the signal strength received by the signal of the first device when the distance between the first device and the first network element is 1 meter may be obtained first, and then the distance is 1 meter. And then, acquiring the distance between the first equipment and the first network element as 10 meters, and then acquiring the signal strength received by the first equipment signal when the distance is 10 meters. And then acquiring the distance between the first equipment and the first network element as 50 meters, wherein the signal strength received by the first equipment signal is acquired when the acquisition distance is 50 meters. By means of the collected construction parameters, it can be determined that, for example, every 10 meters away from the first device and the first network element, the strength of the signal received by the first device deteriorates by a corresponding value. A model of the signal strength decay can thus be determined. It should be noted that, because the signal intensity attenuation models in different environments have differences, it is necessary to select an environment that is the same as the target environment to obtain the construction parameters, so that the positioning accuracy provided by the environment is more accurate.
Further, the system may input the obtained signal strength currently received by the first device into the determined signal strength attenuation model, and may determine the current relative distance between the first device and the first network element according to a rule that the signal strength received by the first device declines by a corresponding numerical value every time a certain distance increases between the first device and the first network element in the signal attenuation model. So as to determine the position of the first device based on the position of the first network element, the relative distance of the first device from said first network element.
S103: and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
After the system determines the relative distance between the first device and the first network element, the system determines the position of the first device according to the position of the first network element and the relative distance between the first device and the first network element, and then determines the position of the monitoring object corresponding to the first device according to the corresponding relationship between the first device and the monitoring object.
It should be noted that the location of the first device is determined according to the location of the first network element and the relative distance between the first device and the first network element, and each first device has a corresponding identifier, such as device a and device B. Each device identifier has a corresponding relationship with the monitored object, that is, each device identifier has a unique monitored object corresponding to it. Therefore, after the position of the first device is determined, the position of the monitoring object corresponding to the first device can be determined according to the corresponding relation.
The method and the device determine the position of the first network element through the acquired identifier of the first network element, and determine the relative distance between the first device and the first network element according to the signal intensity received by the first device and a preset signal intensity attenuation model. And determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object. Compared with the prior art, the method for monitoring the position of the mortgage animal living body by means of manual work is adopted. In the present application, the relative distance between the first device and the first network element may be determined according to the signal strength received by the first device and a preset signal strength attenuation model. The position of the monitored object can be determined according to the strength of the signal received by the first device bound with the monitored object no matter how the position of the monitored object changes. And the same position of a plurality of monitoring objects can be monitored in real time without manual participation. Therefore, the problems that a manual monitoring mode cannot effectively monitor a plurality of mortgage animal living bodies together, the monitoring efficiency is low, and real-time monitoring cannot be achieved are solved. The efficiency of position monitoring is improved.
On the basis of the above description, the technical solution provided in the embodiment of the present application may further send a warning message in response to that the relative distance between the monitored object and the first network element is greater than the distance threshold after the position of the monitored object is determined. This embodiment is referred to as a second embodiment.
Specifically, after the position of the monitored object is determined, it is determined whether a relative distance between the monitored object and the first network element is greater than a distance threshold. When the relative distance between the monitoring object and the first network element is larger than the distance threshold value, the system sends out alarm information. For example, if a distance threshold value of 150 meters is set in advance, and the relative distance between the monitored object and the first network element is greater than 150 meters, the system will send an alarm message. Taking a cow as an example, after the position of the cow is determined, the relative distance between the current cow and the first network element is 50 meters, and the system cannot send out alarm information. If the relative distance between the current cow and the first network element is 200 meters, the system sends out alarm information.
The present embodiment differs from the above-described embodiments in that a step of issuing a warning message in response to a relative distance between the monitored object and the first network element being greater than a distance threshold is added. The remaining steps are the same as those in the above embodiments, and are not further described herein.
Fig. 2 is a schematic structural diagram of a specific implementation of a position monitoring device according to an embodiment of the present disclosure. The apparatus described with reference to fig. 2 may comprise:
an obtaining unit 200, configured to obtain monitoring data reported by a first network element, where the monitoring data includes an identifier of the first network element and a signal strength received by a first device from the first network element;
a determining unit 210, configured to determine a location of the first network element based on the identifier of the first network element; determining the relative distance between the first equipment and the first network element according to the signal intensity received by the first equipment and a preset signal intensity attenuation model; and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
Optionally, in the apparatus, the signal intensity attenuation model is obtained by:
obtaining a construction parameter, where the construction parameter includes a plurality of distances between the first device and the first network element, and a signal strength received by the first device corresponding to each of the plurality of distances.
Optionally, the apparatus includes:
and the first equipment and the first network element communicate through a ZETA communication protocol.
Optionally, the determining unit is specifically configured to:
determining the position of the first device according to the position of the first network element and the relative distance between the first device and the first network element;
and determining the position of the monitoring object corresponding to the first equipment according to the corresponding relation between the first equipment and the monitoring object.
Optionally, the apparatus further comprises:
and the warning unit is used for sending warning information in response to the fact that the relative distance between the monitored object and the first network element is greater than a distance threshold value.
The apparatus, the obtaining unit 200, is configured to obtain monitoring data reported by a first network element, where the monitoring data includes an identifier of the first network element and a signal strength received by a first device from the first network element. The determining unit 210 is configured to determine a position of the first network element according to the obtained identifier of the first network element, and determine a relative distance between the first device and the first network element according to the signal strength received by the first device and a preset signal strength attenuation model. And determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object. Compared with the prior art, the method for monitoring the position of the living mortgage animal by means of manual work is adopted. In the present application, the relative distance between the first device and the first network element may be determined according to the signal strength received by the first device and a preset signal strength attenuation model. The position of the monitored object can be determined according to the strength of the signal received by the first device bound with the monitored object no matter how the position of the monitored object changes. And the same position of a plurality of monitoring objects can be monitored in real time without manual participation. Therefore, the problems that a manual monitoring mode cannot effectively monitor a plurality of mortgage animal living bodies together, the monitoring efficiency is low, and real-time monitoring cannot be achieved are solved. The efficiency of position monitoring is improved.
The embodiment of the application also provides corresponding equipment and a computer storage medium, which are used for realizing the scheme provided by the embodiment of the application.
Wherein the apparatus comprises a memory for storing instructions or code and a processor for executing the instructions or code to cause the apparatus to perform the method of any embodiment of the present application.
The computer storage medium has code stored therein that, when executed, causes an apparatus that executes the code to implement a method as described in any of the embodiments of the present application.
In the embodiments of the present application, the names "first" and "second" (if any) in the names "first" and "second" are used merely for name identification, and do not represent the sequential first and second.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the method of the above embodiments may be implemented by software plus a general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement without inventive effort.
The above description is only an exemplary embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. A method of location monitoring, comprising:
acquiring monitoring data reported by a first network element, wherein the monitoring data comprises an identifier of the first network element and the signal strength received by first equipment from the first network element;
determining a location of the first network element based on the identity of the first network element; determining the relative distance between the first equipment and the first network element according to the signal intensity received by the first equipment and a preset signal intensity attenuation model;
and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
2. The method of claim 1, wherein the signal strength decay model is obtained by:
obtaining a construction parameter, where the construction parameter includes a plurality of distances between the first device and the first network element, and a signal strength received by the first device corresponding to each of the plurality of distances;
based on the constructed parameters, a signal intensity attenuation model is determined.
3. The method of claim 1, comprising:
and the first equipment and the first network element communicate through a ZETA communication protocol.
4. The method of claim 1, wherein the determining the position of the monitored object according to the position of the first network element, the relative distance between the first device and the first network element, and the corresponding relationship between the first device and the monitored object comprises:
determining the position of the first equipment according to the position of the first network element and the relative distance between the first equipment and the first network element;
and determining the position of the monitored object corresponding to the first equipment according to the corresponding relation between the first equipment and the monitored object.
5. The method of claim 1, further comprising:
and sending out warning information in response to the fact that the relative distance between the monitored object and the first network element is larger than a distance threshold value.
6. A position monitoring device, comprising:
an obtaining unit, configured to obtain monitoring data reported by a first network element, where the monitoring data includes an identifier of the first network element and a signal strength received by a first device from the first network element;
a determining unit, configured to determine a location of the first network element based on the identifier of the first network element; determining the relative distance between the first equipment and the first network element according to the signal intensity received by the first equipment and a preset signal intensity attenuation model; and determining the position of the monitored object according to the position of the first network element, the relative distance between the first equipment and the first network element and the corresponding relation between the first equipment and the monitored object.
7. The apparatus of claim 6, wherein the signal strength decay model is obtained by:
obtaining a configuration parameter, where the configuration parameter includes a plurality of distances between the first device and the first network element, and a signal strength received by the first device corresponding to each of the plurality of distances.
8. The apparatus of claim 6, comprising:
and the first equipment and the first network element communicate through a ZETA communication protocol.
9. The apparatus according to claim 6, wherein the determining unit is specifically configured to:
determining the position of the first equipment according to the position of the first network element and the relative distance between the first equipment and the first network element;
and determining the position of the monitored object corresponding to the first equipment according to the corresponding relation between the first equipment and the monitored object.
10. The apparatus of claim 6, further comprising:
and the warning unit is used for sending warning information in response to the fact that the relative distance between the monitored object and the first network element is larger than a distance threshold value.
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| CN202210576138.0A CN115002197A (en) | 2022-05-25 | 2022-05-25 | Position monitoring method and device |
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| CN202210576138.0A CN115002197A (en) | 2022-05-25 | 2022-05-25 | Position monitoring method and device |
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| CN110505291A (en) * | 2019-08-12 | 2019-11-26 | 北京无线体育俱乐部有限公司 | Position monitoring method, server, system and storage medium |
| CN110933743A (en) * | 2019-12-03 | 2020-03-27 | 锐捷网络股份有限公司 | Positioning method and device based on Received Signal Strength Indicator (RSSI) |
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2022
- 2022-05-25 CN CN202210576138.0A patent/CN115002197A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104376698A (en) * | 2013-08-13 | 2015-02-25 | 徐峥 | Outdoor nursing reminding device based on WIFI |
| CN105954706A (en) * | 2016-04-29 | 2016-09-21 | 北京小米移动软件有限公司 | Intelligent device positioning method and device |
| CN110351654A (en) * | 2019-07-04 | 2019-10-18 | 宇龙计算机通信科技(深圳)有限公司 | A positioning method, device, storage medium and electronic equipment |
| CN110505291A (en) * | 2019-08-12 | 2019-11-26 | 北京无线体育俱乐部有限公司 | Position monitoring method, server, system and storage medium |
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