CN115835060A - Data acquisition method for industrial and agricultural Internet of things - Google Patents
Data acquisition method for industrial and agricultural Internet of things Download PDFInfo
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Abstract
The invention provides a data acquisition method of an industrial and agricultural Internet of things, which divides an industrial or agricultural area into a plurality of subareas, a sensor is arranged in the center of each subarea, and the sensor data is transmitted in a mode of arranging a plurality of relay stations, so that the problems of more devices for data transmission and large transmission energy consumption in the process of networking the sensor devices for data transmission are solved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a data acquisition method of an industrial and agricultural Internet of things.
Background
It is often necessary in industry or agriculture to deploy a plurality of sensors over a wide area for data acquisition and real-time monitoring of the wide area. And each sensor transmits the acquired sensor data to the monitoring station, and the analysis and the summarization of each data are realized through the monitoring station. At present, sensing data of each sensor is collected to a monitoring station, communication among sensor devices is adopted, but because a plurality of sensors are distributed around the sensors and are transmitted through each sensor device, the problems of more data transmission devices and high transmission energy consumption exist.
Disclosure of Invention
Aiming at the defects in the prior art, the data acquisition method for the industrial and agricultural Internet of things provided by the invention solves the problems of more data transmission equipment and high transmission energy consumption in the existing method for communication between sensor equipment.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a data acquisition method for the Internet of things of industry and agriculture comprises the following steps:
dividing an industrial or agricultural area into a plurality of sub-areas according to the acquisition range of each sensor;
a sensor is arranged in the central point of each sub-area;
arranging a plurality of relay stations in an industrial or agricultural area;
the sensor in the signal coverage range transmits the encapsulated sensor data to the relay station for decapsulation;
and transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations.
Further, the length or width of the sub-region is:
wherein ,
is the length or width of the sub-region,
is the radius of the acquisition range of the sensor.
The beneficial effects of the further scheme are as follows: according to the acquisition range of the sensor, the region is divided into sub-regions with the length or width of
The method and the device ensure that the area is completely covered by the acquisition ranges of all the sensors, and ensure the minimum overlapping degree of the acquisition ranges of the adjacent sensors.
Further, the setting of a plurality of relay stations in an area where industry or agriculture is located includes:
a plurality of relay stations are distributed in the industrial or agricultural area;
calculating the distance from each sensor to each relay station;
screening out the closest distance from the distance from each sensor to each relay station;
judging whether the nearest distance of each sensor is less than or equal to the data transmission distance, if so, entering the next step, and if not, determining that the sensor is an isolated sensor;
incorporating the sensor into a relay station that is a closest distance to the sensor;
moving the relay station with the nearest isolated sensor to the direction of the isolated sensor until the nearest isolated sensor is less than or equal to the data transmission distance;
and returning to the step of screening the nearest distance until no isolated sensor exists.
The beneficial effects of the above further scheme are: a plurality of relay stations are randomly arranged in an industrial or agricultural area, isolated sensors are found through the distance from each sensor to the relay stations, the isolated sensors lack signal coverage of the relay stations, therefore, the nearest relay stations are required to move towards the isolated sensors, and the positions of the relay stations are continuously adjusted, so that the coverage of all the sensors is realized.
Further, the number of relay stations set in the distribution is:
wherein ,
in order to set the number of relay stations,
as is the number of sub-regions,
is the radius of the acquisition range of the sensor,
is the signal coverage radius of the relay station.
The beneficial effects of the further scheme are as follows:
the optimal number of the relay stations is determined according to the signal coverage radius of the relay stations for the area of the industrial or agricultural area, and the signal range of all the relay stations can cover the whole industrial or agricultural area.
Further, the sensor within the signal coverage area transmitting the encapsulated sensor data to the relay station for decapsulation comprises:
converting the sensor data into a binary code to obtain a binary code sequence;
segmenting the binary code sequence according to the serial number of the relay station, wherein the length of the segment is equal to the serial number;
filling binary codes of the position data of the sensor into the segmentation position of the binary code sequence to obtain packaged sensor data;
transmitting the encapsulated sensor data to a relay station;
extracting a section of binary codes in the packaged sensor data at the relay station according to the number of the relay station;
eliminating the position data of the sensor at a section of binary code;
extracting a next section of binary codes in the packaged sensor data according to the number of the relay station;
and eliminating the position data of the sensor at the next section of binary code until the binary code in the packaged sensor data is completely extracted.
The beneficial effects of the further scheme are as follows: according to the number size of the relay station, the binary code sequence is divided into multiple sections, the position data of the sensor is added at the section, new sensor data is formed and is packaged sensor data, the binary code sequence is equivalently processed, the sensor data can be obtained only by the corresponding relay station, when the binary code sequence is unpacked, the position data of the sensor is removed according to the number size of the relay station, for example, a first section of binary code is obtained according to the number size of the relay station, the position data of the sensor is removed at the joint of the first section of binary code and the original packaged sensor data, a second section of binary code can be obtained according to the number size of the relay station, the position data of the sensor is removed, all the binary codes are extracted by one section, and the relay is prevented from collecting other types of sensing data.
Further, the transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations comprises:
finding out an optimal transmission route according to the position distribution of each relay station;
and transmitting the data of the decapsulation sensor back to the monitoring station according to the optimal route.
Further, the finding an optimal transmission route according to the location distribution of each relay station includes:
finding all relay stations positioned between the relay station and the monitoring station of the data to be sent along the direction of the relay station and the monitoring station of the data to be sent to obtain an intermediate relay station;
finding an optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to be sent with data;
taking the optimal intermediate relay station as a relay station of the next data to be transmitted;
continuously finding the optimal intermediate relay station according to the next relay station to be transmitted until the signal coverage area of the last optimal intermediate relay station can contain the monitoring station;
all the relay stations for data to be transmitted and the last optimal intermediate relay station form an optimal transmission route.
The beneficial effects of the further scheme are as follows: the method comprises the steps of firstly determining the distribution of intermediate relay stations along the direction of a relay station and a monitoring station of data to be sent, finding the optimal intermediate relay station from the adjacent range of each relay station of the data to be sent as the relay station of the next data to be sent, and continuously finding the next optimal relay station, thereby determining the optimal route.
Further, the calculation formula for finding the optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to send data is as follows:
wherein ,
calculating the evaluation values of the relay station to be sent and all the adjacent intermediate relay stations for the evaluation value of the intermediate relay station, screening the intermediate relay station corresponding to the maximum evaluation value as the optimal relay station,
for the abscissa of the relay station to transmit data,
for the ordinate of the relay station to transmit data,
as the abscissa of the adjacent intermediate relay station,
as the ordinate of the adjacent intermediate relay station,
the included angle between the straight line of the relay station to be sent and the adjacent intermediate relay station and the straight line of the relay station to be sent and the straight line of the monitoring station to be sent.
The above further schemeHas the beneficial effects that: when the optimal intermediate relay station is determined, on one hand, the distance between the relay station for data to be transmitted and the adjacent intermediate relay station is considered, and simultaneously, the deviation degree between the straight line of the relay station for data to be transmitted and the adjacent intermediate relay station and the straight line of the relay station for data to be transmitted and the straight line of the monitoring station for data to be transmitted is also considered, and the deviation degree passes through
To indicate that the user is not in a normal position,
the larger, the greater the degree of deviation,
the smaller the deviation, and the optimal relay station is when the deviation is smaller and the distance is larger, the larger the distance is, the fewer relay stations are needed for transmission, and the energy needed for data transmission is smaller.
The technical scheme of the embodiment of the invention at least has the following advantages and beneficial effects: according to the invention, the area where the industry or agriculture is located is divided into a plurality of sub-areas, a sensor is arranged in the center of each sub-area, and the data of the sensor is transmitted in a mode of arranging a plurality of relay stations, so that the problems of more devices for data transmission and high transmission energy consumption in the process of networking the sensor devices for data transmission are solved.
Drawings
Fig. 1 is a flow chart of a data acquisition method of the internet of things of industry and agriculture.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
As shown in fig. 1, a data acquisition method for the internet of things of industry and agriculture comprises the following steps:
s1, dividing an industrial or agricultural area into a plurality of sub-areas according to the acquisition range of each sensor;
in this embodiment, the specific application range is, for example: the sensor is a displacement sensor, and is industrially used for monitoring the landslide condition of an area; the wind power condition of the monitoring area is agriculturally used, and the sensor is a wind power sensor.
In step S1, the length or width of the sub-region is:
wherein ,
is the length or width of the sub-region,
is the radius of the acquisition range of the sensor.
According to the acquisition range of the sensor, the region is divided into sub-regions with the length or width of
The method and the device ensure that the area is completely covered by the acquisition ranges of all the sensors, and simultaneously ensure that the acquisition ranges of adjacent sensors have minimum overlapping degree.
S2, arranging a sensor in the central point of each sub-region;
s3, arranging a plurality of relay stations in an industrial or agricultural area;
in step S3, the setting of the plurality of relay stations in the industrial or agricultural area includes:
a plurality of relay stations are distributed in the industrial or agricultural area;
the number of the relay stations which are distributed and arranged is as follows:
wherein ,
in order to set the number of relay stations,
as is the number of sub-regions,
is the radius of the acquisition range of the sensor,
is the signal coverage radius of the relay station.
Calculating the distance from each sensor to each relay station;
screening out the nearest distance from the distance from each sensor to each relay station;
judging whether the nearest distance of each sensor is less than or equal to the data transmission distance, if so, entering the next step, and if not, determining that the sensor is an isolated sensor;
incorporating the sensor into a relay station that is a closest distance therefrom;
moving the relay station with the nearest isolated sensor to the direction of the isolated sensor until the nearest isolated sensor is less than or equal to the data transmission distance;
and returning to the step of screening the nearest distance until no isolated sensor exists.
A plurality of relay stations are randomly arranged in an industrial or agricultural area, isolated sensors are found through the distance from each sensor to the relay stations, the isolated sensors lack signal coverage of the relay stations, therefore, the nearest relay stations are required to move towards the isolated sensors, and the positions of the relay stations are continuously adjusted, so that the coverage of all the sensors is realized.
S4, the sensor in the signal coverage range transmits the encapsulated sensor data to the relay station for decapsulation;
in step S4, the transmitting, by the sensor in the signal coverage, the encapsulated sensor data to the relay station for decapsulation includes:
converting the sensor data into a binary code to obtain a binary code sequence;
segmenting the binary code sequence according to the serial number of the relay station, wherein the length of the segment is equal to the serial number;
filling a binary code of the position data of the sensor into a segment of a binary code sequence to obtain packaged sensor data;
transmitting the encapsulated sensor data to a relay station;
extracting a section of binary codes in the packaged sensor data at the relay station according to the number of the relay station;
eliminating the position data of the sensor at a section of binary code;
extracting a next section of binary codes in the packaged sensor data according to the number of the relay station;
and eliminating the position data of the sensor at the next section of binary code until the binary code in the packaged sensor data is completely extracted.
According to the number of the relay station, a binary code sequence is divided into multiple sections, position data of a sensor is added at the section, new sensor data is formed and is packaged sensor data, the binary code sequence is equivalently processed, the sensor data can be obtained only by the corresponding relay station, when the binary code sequence is unpacked, the position data of the sensor is removed according to the number of the relay station, the binary code sequence can be restored, for example, a first section of binary code is obtained according to the number of the relay station, the position data of the sensor is removed at the joint of the first section of binary code and the original packaged sensor data, a second section of binary code can be obtained according to the number of the relay station, the position data of the sensor is removed, and all the binary codes are extracted by one section, so that other types of sensing data are prevented from being collected by a relay.
And S5, transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations.
In step S5, the transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations includes:
finding out an optimal transmission route according to the position distribution of each relay station;
and transmitting the data of the decapsulation sensor back to the monitoring station according to the optimal route.
The finding of the optimal transmission route according to the position distribution of each relay station includes:
finding all relay stations positioned between the relay station and the monitoring station of the data to be sent along the direction of the relay station and the monitoring station of the data to be sent to obtain an intermediate relay station;
finding an optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to be sent with data;
taking the optimal intermediate relay station as a relay station of the next data to be transmitted;
continuously finding the optimal intermediate relay station according to the next relay station to be transmitted until the signal coverage area of the last optimal intermediate relay station can contain the monitoring station;
all the relay stations for data to be transmitted and the last optimal intermediate relay station form an optimal transmission route.
The method comprises the steps of firstly determining the distribution of intermediate relay stations along the direction of a relay station and a monitoring station of data to be sent, finding the optimal intermediate relay station from the adjacent range of each relay station of the data to be sent as the relay station of the next data to be sent, and continuously finding the next optimal relay station, thereby determining the optimal route.
The calculation formula for finding the optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to be sent with data is as follows:
wherein ,
calculating the relay station and all the relay stations for data to be transmitted for the evaluation value of the intermediate relay stationScreening the intermediate relay station corresponding to the maximum evaluation value as the optimal relay station near the evaluation value of the intermediate relay station,
for the abscissa of the relay station to transmit data,
for the ordinate of the relay station to transmit data,
as the abscissa of the adjacent intermediate relay station,
as the ordinate of the adjacent intermediate relay station,
the included angle between the straight line of the relay station to send data and the straight line close to the intermediate relay station and the straight line of the relay station to send data and the straight line of the monitoring station,
is the angle between two straight lines.
When the optimal intermediate relay station is determined, on one hand, the distance between the relay station of the data to be transmitted and the adjacent intermediate relay station is considered, and simultaneously, the deviation degree between the straight line of the relay station of the data to be transmitted and the adjacent intermediate relay station and the straight line of the relay station of the data to be transmitted and the straight line of the monitoring station is also considered, and the deviation degree is determined according to the deviation degree
To indicate that the user is not in a normal position,
the larger, the greater the degree of deviation,
the smaller the deviation, and the optimal relay station is when the deviation is smaller and the distance is larger, the larger the distance is, the fewer relay stations are needed for transmission, and the energy needed for data transmission is smaller.
The technical scheme of the embodiment of the invention at least has the following advantages and beneficial effects: according to the invention, the area where the industry or agriculture is located is divided into a plurality of sub-areas, a sensor is arranged in the center of each sub-area, and the data of the sensor is transmitted in a mode of arranging a plurality of relay stations, so that the problems of more devices for data transmission and high transmission energy consumption in the process of networking the sensor devices for data transmission are solved.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A data acquisition method for the Internet of things of industry and agriculture is characterized by comprising the following steps:
dividing an industrial or agricultural area into a plurality of sub-areas according to the acquisition range of each sensor;
a sensor is arranged in the central point of each subarea;
arranging a plurality of relay stations in an industrial or agricultural area;
the sensor in the signal coverage range transmits the encapsulated sensor data to the relay station for decapsulation; the method specifically comprises the following steps: converting the sensor data into a binary code to obtain a binary code sequence; segmenting the binary code sequence according to the serial number of the relay station, wherein the length of the segment is equal to the serial number; filling binary codes of the position data of the sensor into the segmentation position of the binary code sequence to obtain packaged sensor data; transmitting the encapsulated sensor data to a relay station; extracting a section of binary codes in the packaged sensor data at the relay station according to the number of the relay station; eliminating the position data of the sensor at a section of binary code; extracting a next section of binary codes in the packaged sensor data according to the number of the relay station; eliminating the position data of the sensor at the next section of binary code until the binary code in the packaged sensor data is completely extracted;
and transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations.
2. The data acquisition method for the Internet of things of industry and agriculture according to claim 1, wherein the length or width of the sub-region is as follows:
wherein ,
is the length or width of the sub-region,
is the radius of the acquisition range of the sensor.
3. The data acquisition method for the Internet of things of industry and agriculture according to claim 1, wherein the step of arranging a plurality of relay stations in an area where industry or agriculture is located comprises the following steps:
a plurality of relay stations are distributed in the industrial or agricultural area;
calculating the distance from each sensor to each relay station;
screening out the nearest distance from the distance from each sensor to each relay station;
judging whether the nearest distance of each sensor is less than or equal to the data transmission distance, if so, entering the next step, and if not, determining that the sensor is an isolated sensor;
incorporating the sensor into a relay station that is a closest distance therefrom;
moving the relay station with the nearest isolated sensor to the direction of the isolated sensor until the nearest isolated sensor is less than or equal to the data transmission distance;
and returning to the step of screening the nearest distance until no isolated sensor exists.
4. The data acquisition method for the Internet of things of industry and agriculture according to claim 3, wherein the number of the relay stations is as follows:
wherein ,
in order to set the number of relay stations,
as is the number of sub-regions,
is the radius of the acquisition range of the sensor,
is the signal coverage radius of the relay station.
5. The data acquisition method for the internet of things of industry and agriculture according to claim 1, wherein the transmitting the decapsulated sensor data back to the monitoring station through wireless communication between the relay stations comprises:
finding out an optimal transmission route according to the position distribution of each relay station;
and transmitting the data of the decapsulation sensor back to the monitoring station according to the optimal route.
6. The data acquisition method for the Internet of things of industry and agriculture according to claim 5, wherein the finding of the optimal transmission route according to the position distribution of each relay station comprises:
finding all relay stations positioned between the relay station and the monitoring station of the data to be sent along the direction of the relay station and the monitoring station of the data to be sent to obtain an intermediate relay station;
finding an optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to be sent with data;
taking the optimal intermediate relay station as a relay station of the next data to be transmitted;
continuously finding the optimal intermediate relay station according to the relay station of the next data to be transmitted until the signal coverage area of the last optimal intermediate relay station can contain the monitoring station;
all the relay stations for data to be transmitted and the last optimal intermediate relay station form an optimal transmission route.
7. The data acquisition method for the Internet of things of industry and agriculture according to claim 6, wherein the calculation formula for finding the optimal intermediate relay station from the adjacent intermediate relay stations of the relay station to be sent is as follows:
wherein ,
calculating the evaluation values of the relay station to be sent and all the adjacent intermediate relay stations for the evaluation value of the intermediate relay station, screening the intermediate relay station corresponding to the maximum evaluation value as the optimal relay station,
for the abscissa of the relay station to transmit data,
for the ordinate of the relay station to transmit data,
as the abscissa of the adjacent intermediate relay station,
as the ordinate of the adjacent intermediate relay station,
for the relay station to send data and the adjacent intermediate relay station, andand the included angle of the straight line of the relay station and the monitoring station for data to be sent.
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Denomination of invention: Data collection methods for industrial and agricultural IoT Effective date of registration: 20231114 Granted publication date: 20230505 Pledgee: Hua Xia Bank Co.,Ltd. Kunming Branch Pledgor: YUNNAN HANZHE TECHNOLOGY CO.,LTD. Registration number: Y2023980065535 |
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