CN112533168A - Data processing method of wireless sensor network node - Google Patents
Data processing method of wireless sensor network node Download PDFInfo
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- CN112533168A CN112533168A CN202011376782.0A CN202011376782A CN112533168A CN 112533168 A CN112533168 A CN 112533168A CN 202011376782 A CN202011376782 A CN 202011376782A CN 112533168 A CN112533168 A CN 112533168A
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Abstract
The invention relates to the technical field of information data processing, in particular to a data processing method of a wireless sensor network node, which comprises the following steps: the wireless sensor continuously acquires data in the range of the sensor node, and when the acquisition time of the wireless sensor reaches a preset value, the wireless sensor uploads the acquired original data to the sink node; the invention has the advantages of increasing the safety of data processing, verifying the authenticity of the detected data, reducing the subsequent workload of the network node and further improving the data processing efficiency by improving the network node data processing method, and solves the problems that the detection data is usually only verified whether to come from a preset wireless sensor or not, whether an error occurs in transmission or not, the detection data is not processed and analyzed, the verification processing is required in the subsequent work, and the detection data is easy to be interfered and damaged by the outside during uploading at present.
Description
Technical Field
The invention relates to the technical field of information data processing, in particular to a data processing method of a wireless sensor network node.
Background
The wireless sensor network is a perception network in the Internet of things, and comprises a plurality of wireless sensors distributed at different positions, wherein the wireless sensors form a multi-hop self-organizing network in a wireless communication mode, cooperatively perceive and collect information of a physical world, transmit detection data to a sink node or an actuator, and then transmit the detection data to an upper layer for a subsequent process. With the development of technology, wireless sensor networks are increasingly widely used in the fields of space exploration, military investigation, environmental detection, medical monitoring, industrial production, agricultural breeding, commercial application and the like.
In practical application, effective monitoring of the physical world, such as information collection of disaster areas, real-time monitoring of traffic vehicles in urban traffic management systems, and the like, can be realized by querying and analyzing perception data obtained by a sensor network. The data set formed by the perception data is similar to a distributed database, so that the perception data collected by each sensor needs to be concentrated to a central processing node for analysis and processing.
The conventional data processing method for the wireless sensor network node has certain defects, usually, only whether detection data come from a preset wireless sensor is verified, whether errors occur in transmission, and the detection data are not processed and analyzed, so that verification processing is required in subsequent work, and the detection data are easily interfered and damaged by the outside during uploading, so that the data processing efficiency of the network node is reduced.
Disclosure of Invention
The present invention is directed to a data processing method for a wireless sensor network node, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a data processing method of a wireless sensor network node comprises the following steps:
(1) data acquisition: the wireless sensor continuously acquires data in the range of the sensor node, and when the acquisition time of the wireless sensor reaches a preset value, the wireless sensor uploads the acquired original data to the sink node;
(2) and (3) aggregation processing of data: the sink node stores original data from the wireless sensor into a main database, then the sink node screens the original data, classifies and stores the data in the sub-databases, then the sink node uploads the data in the sub-databases to a preprocessing module, the preprocessing module receives and analyzes the data sent by the sink node, then the data is matched with corresponding acquisition nodes according to sensor information, and an encrypted data packet is formed and uploaded to a management module;
(3) control and management of wireless sensors: the management module receives the encrypted data from the preprocessing module, performs security identification on an uploaded data packet, stores the encrypted data after the security identification, feeds back information to the sink node after the storage is completed, and then uploads the encrypted data packet to the computing node;
(4) and (3) data calculation processing: the computing node decrypts the encrypted data packet according to the key, and then sends the data to the data processing module through the data transmission module, the data processing module determines a queue information storage space and a data storage space in the queue information storage space according to the number of queues to be processed and the size of the queue information, the data processing module is responsible for communication between the sensor network and an external network, data processing and node management functions are achieved, and the storage module stores program codes and uploads the processed data to the cloud server.
Preferably, in the step (1), the data collected by the wireless sensor is in various data formats, and the data formats are sound, temperature, humidity, image and video.
Preferably, in the step (1), if data transmission between one wireless sensor and the sink node is interrupted, data uploading is performed through other wireless sensors, and meanwhile, the interruption information is sent to the cloud server.
Preferably, in the step (2), when the sink node detects that the wireless sensor does not generate raw data, the sink node controls itself to enter a sleep state.
Preferably, in the step (2), the analysis content of the preprocessing module is to generate a data formula corresponding to the wireless sensor by using the detection data of the wireless sensor and the detection object.
Preferably, in the step (2), the sensor information is position information, specification model, production lot number, publisher name and manufacturer information of the wireless sensor.
Preferably, in the step (3), the sink node initializes after receiving the feedback information, and the initialization content is to clear data in the main database and the sub-database.
Preferably, in the step (4), if the data type to be processed is one of the preset one or more data types, the data to be processed may be sent using an inline mode, and if the data type to be processed does not belong to the preset one or more data types, the data to be processed may be sent using a non-inline mode.
Preferably, in the step (4), the data analysis mainly includes providing result prediction, historical trend analysis, data visualization, system operation state viewing, automation control and emergency event early warning.
Preferably, in the step (4), the cloud server makes the received data into a table and an image, and displays the table and the image through the terminal device.
Compared with the prior art, the invention has the following beneficial effects:
the invention has the advantages of increasing the safety of data processing, verifying the authenticity of the detected data, reducing the subsequent workload of the network node and further improving the data processing efficiency by improving the network node data processing method, and solves the problems that the detection data is usually only verified whether to come from a preset wireless sensor or not, whether an error occurs in transmission or not, the detection data is not processed and analyzed, the verification processing is required in the subsequent work, and the detection data is easy to be interfered and damaged by the outside during uploading at present.
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FIG. 1 is a block diagram illustrating the structural components of the present invention;
fig. 2 is a block diagram of a network node according to the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A data processing method of a wireless sensor network node comprises the following steps:
(1) data acquisition: the wireless sensor continuously acquires data in the range of the sensor node, and when the acquisition time of the wireless sensor reaches a preset value, the wireless sensor uploads the acquired original data to the sink node;
(2) and (3) aggregation processing of data: the sink node stores original data from the wireless sensor into a main database, then the sink node screens the original data, classifies and stores the data in the sub-databases, then the sink node uploads the data in the sub-databases to a preprocessing module, the preprocessing module receives and analyzes the data sent by the sink node, then the data is matched with corresponding acquisition nodes according to sensor information, and an encrypted data packet is formed and uploaded to a management module;
(3) control and management of wireless sensors: the management module receives the encrypted data from the preprocessing module, performs security identification on an uploaded data packet, stores the encrypted data after the security identification, feeds back information to the sink node after the storage is completed, and then uploads the encrypted data packet to the computing node;
(4) and (3) data calculation processing: the computing node decrypts the encrypted data packet according to the key, and then sends the data to the data processing module through the data transmission module, the data processing module determines a queue information storage space and a data storage space in the queue information storage space according to the number of queues to be processed and the size of the queue information, the data processing module is responsible for communication between the sensor network and an external network, data processing and node management functions are achieved, and the storage module stores program codes and uploads the processed data to the cloud server.
The first embodiment is as follows:
a data processing method of a wireless sensor network node comprises the following steps:
(1) data acquisition: the method comprises the steps that a wireless sensor continuously collects data in a sensor node range, when the collection time of the wireless sensor reaches a preset value, the wireless sensor uploads the collected original data to a sink node, the data collected by the wireless sensor are in various data formats, the data formats are sound, temperature, humidity, images and videos, if data transmission between one wireless sensor and the sink node is interrupted, data uploading is carried out through other wireless sensors, meanwhile, the interruption information is sent to a cloud server, the wireless sensor can be guaranteed to transmit the data in real time, and faults between the wireless sensor and the sink node can be eliminated in time;
(2) and (3) aggregation processing of data: the sink node stores the original data from the wireless sensor into the main database, then the sink node screens the original data, classifies the data and stores the data in the sub-databases, then the sink node uploads the data in the sub-databases to the preprocessing module, the preprocessing module receives and analyzes the data sent by the sink node, then matches the data with the corresponding acquisition node according to the sensor information, forms an encrypted data packet and uploads the encrypted data packet to the management module, when the sink node detects that the wireless sensor does not generate the original data, the sink node controls the sink node to enter a dormant state, the analysis content of the preprocessing module is a data formula corresponding to the wireless sensor by using the detection data and detection objects of the wireless sensor, the sensor information is the position information, specification model, production batch number, publisher name and manufacturer information of the wireless sensor, and can avoid the data from being interfered by the outside, the accuracy of data processing is improved, so that the data safety can be ensured;
(3) control and management of wireless sensors: the management module receives the encrypted data from the preprocessing module, performs security identification on an uploaded data packet, stores the encrypted data after the security identification, feeds back information to the sink node after the storage is completed, and then uploads the encrypted data packet to the computing node;
(4) and (3) data calculation processing: the computing node decrypts the encrypted data packet according to the key, and then sends the data to the data processing module through the data transmission module, the data processing module determines a queue information storage space and a data storage space in the queue information storage space according to the number of queues to be processed and the size of the queue information, the data processing module is responsible for communication between the sensor network and an external network, data processing and node management functions are achieved, and the storage module stores program codes and uploads the processed data to the cloud server.
Example two:
a data processing method of a wireless sensor network node comprises the following steps:
(1) data acquisition: the method comprises the steps that a wireless sensor continuously collects data in a sensor node range, when the collection time of the wireless sensor reaches a preset value, the wireless sensor uploads the collected original data to a sink node, the data collected by the wireless sensor are in various data formats, the data formats are sound, temperature, humidity, images and videos, if data transmission between one wireless sensor and the sink node is interrupted, data uploading is carried out through other wireless sensors, meanwhile, the interruption information is sent to a cloud server, the wireless sensor can be guaranteed to transmit the data in real time, and faults between the wireless sensor and the sink node can be eliminated in time;
(2) and (3) aggregation processing of data: the sink node stores the original data from the wireless sensor into the main database, then the sink node screens the original data, classifies the data and stores the data in the sub-databases, then the sink node uploads the data in the sub-databases to the preprocessing module, the preprocessing module receives and analyzes the data sent by the sink node, then matches the data with the corresponding acquisition node according to the sensor information, forms an encrypted data packet and uploads the encrypted data packet to the management module, when the sink node detects that the wireless sensor does not generate the original data, the sink node controls the sink node to enter a dormant state, the analysis content of the preprocessing module is a data formula corresponding to the wireless sensor by using the detection data and detection objects of the wireless sensor, the sensor information is the position information, specification model, production batch number, publisher name and manufacturer information of the wireless sensor, and can avoid the data from being interfered by the outside, the accuracy of data processing is improved, so that the data safety can be ensured;
(3) control and management of wireless sensors: the management module receives the encrypted data from the preprocessing module, performs security confirmation on an uploaded data packet, stores the encrypted data after the security confirmation, feeds back information to the sink node after the storage is completed, then uploads the encrypted data packet to the computing node, initializes the sink node after receiving the feedback information, and initializes the data in the main database and the sub-database, so that the sink node can continuously receive the original data from the wireless sensor, and meanwhile, the data in the database can be prevented from being disordered;
(4) and (3) data calculation processing: the method comprises the steps that a computing node decrypts an encrypted data packet according to a secret key, then data are sent to a data processing module through a data transmission module, the data processing module determines a queue information storage space and a data storage space in the queue information storage space according to the number of queues to be processed and the size of queue information, the data storage space is responsible for communication between a sensor network and an external network, data processing and node management functions are achieved, a storage module stores program codes and uploads processed data to a cloud server, if the type of the data to be processed is one of one or more preset data types, the data to be processed can be sent in an inline mode, if the type of the data to be processed does not belong to the one or more preset data types, the data to be processed can be sent in a non-inline mode, data analysis mainly comprises the steps of providing result prediction, and sending data to be processed in the non-inline mode, Historical trend analysis, data visualization, system running state viewing, automation control and emergency event early warning, the data that the high in the clouds server will receive are made table and image to show through terminal equipment, can be to data information processing analysis, increase the information processing effect, and can make people know data more directly perceivedly.
The invention has the advantages of increasing the safety of data processing, verifying the authenticity of the detected data, reducing the subsequent workload of the network node and further improving the data processing efficiency by improving the network node data processing method, and solves the problems that the detection data is usually only verified whether to come from a preset wireless sensor or not, whether an error occurs in transmission or not, the detection data is not processed and analyzed, the verification processing is required in the subsequent work, and the detection data is easy to be interfered and damaged by the outside during uploading at present.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A data processing method of a wireless sensor network node is characterized in that: the method comprises the following steps:
(1) data acquisition: the wireless sensor continuously acquires data in the range of the sensor node, and when the acquisition time of the wireless sensor reaches a preset value, the wireless sensor uploads the acquired original data to the sink node;
(2) and (3) aggregation processing of data: the sink node stores original data from the wireless sensor into a main database, then the sink node screens the original data, classifies and stores the data in the sub-databases, then the sink node uploads the data in the sub-databases to a preprocessing module, the preprocessing module receives and analyzes the data sent by the sink node, then the data is matched with corresponding acquisition nodes according to sensor information, and an encrypted data packet is formed and uploaded to a management module;
(3) control and management of wireless sensors: the management module receives the encrypted data from the preprocessing module, performs security identification on an uploaded data packet, stores the encrypted data after the security identification, feeds back information to the sink node after the storage is completed, and then uploads the encrypted data packet to the computing node;
(4) and (3) data calculation processing: the computing node decrypts the encrypted data packet according to the key, and then sends the data to the data processing module through the data transmission module, the data processing module determines a queue information storage space and a data storage space in the queue information storage space according to the number of queues to be processed and the size of the queue information, the data processing module is responsible for communication between the sensor network and an external network, data processing and node management functions are achieved, and the storage module stores program codes and uploads the processed data to the cloud server.
2. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (1), the data collected by the wireless sensor are in various data formats, and the data formats are sound, temperature, humidity, images and videos.
3. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (1), if data transmission between one wireless sensor and the sink node is interrupted, data is uploaded through other wireless sensors, and meanwhile, interruption information is sent to the cloud server.
4. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (2), when the sink node detects that the wireless sensor does not generate the original data, the sink node controls the sink node to enter a dormant state.
5. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (2), the analysis content of the preprocessing module is to generate a data formula corresponding to the wireless sensor by using the detection data and the detection object of the wireless sensor.
6. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (2), the sensor information is position information, specification and model, production batch number, publisher name and manufacturer information of the wireless sensor.
7. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (3), the sink node initializes after receiving the feedback information, and the initialization content is to clear data in the main database and the sub-database.
8. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (4), if the data type to be processed is one of the preset one or more data types, the data to be processed may be sent using an inline mode, and if the data type to be processed does not belong to the preset one or more data types, the data to be processed may be sent using a non-inline mode.
9. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (4), the data analysis mainly comprises the steps of result prediction, historical trend analysis, data visualization, system operation state viewing, automation control and emergency event early warning.
10. The data processing method of the wireless sensor network node according to claim 1, wherein: in the step (4), the cloud server makes the received data into a table and an image, and displays the table and the image through the terminal equipment.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113486126A (en) * | 2021-07-20 | 2021-10-08 | 西安地球环境创新研究院 | Underground water big data platform |
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Application publication date: 20210319 |