Multi-source data processing terminal, method and related equipment based on Beidou navigation communication

Abstract

The embodiment of the present application provides a multi-source data processing method, terminal, computer-readable medium and electronic device based on Beidou navigation communication. The multi-source data processing method based on Beidou navigation communication includes: after the sensor component obtains the data to be processed, according to the node information of the sensor component and the location information obtained by the GNSS component, a node network is constructed between the sensor components to select at least two integrated nodes in the node network, and the integrated node collects the data to be processed collected by each sensor component in the node network through the NB-IoT component, and the MCU component fuses the data to be processed to obtain group data, and transmits the group data to the data monitoring platform, so that the collected data can be collected by intra-group transmission, which not only improves the transmission efficiency of the data within the group, but also reduces the energy consumption of the terminal node during data processing, thereby enhancing the efficiency and accuracy of environmental monitoring.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a multi-source data processing method, terminal, computer-readable medium and electronic device based on Beidou navigation communication. Background Art

[0002] In many environmental monitoring application scenarios, monitoring systems and monitoring devices are deployed in the environment. However, this method is not refined enough for data collection and is prone to data omissions. At the same time, the efficiency of data application in the process of data collection, data transmission and data processing is low, which in turn causes a waste of equipment resources. In many applications, the requirements for data transmission volume are high, which leads to high requirements for data collection, data transmission and data processing of the monitoring system. Especially in the monitoring process of geological disasters, a large amount of data often leads to problems such as heavy data load and low processing efficiency of the monitoring system. Summary of the invention

[0003] The embodiments of the present application provide a multi-source data processing method, terminal, computer-readable medium and electronic device based on Beidou navigation communication, which can at least to a certain extent solve the problems of heavy data load and low processing efficiency in the monitoring system.

[0004] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0005] According to one aspect of an embodiment of the present application, a multi-source data processing method based on Beidou navigation communication is provided, the method being applied to a multi-source data processing terminal based on Beidou navigation communication, the terminal integrating one or more communication chips such as a global navigation satellite system GNSS component, a micro-electromechanical system MEMS component, a sensor component, a micro-control unit MCU component, a narrowband Internet of Things NB-IoT component, and an embedded user identification card eSIM, the method comprising: obtaining data to be processed based on the sensor component; wherein the data to be processed comprises rainfall data and soil moisture data collected by a humidity sensor, temperature data collected by a temperature sensor, and air pressure data collected by an air pressure sensor; constructing a node network between the sensor components according to the node information of the sensor components and the position information obtained by the GNSS component; selecting at least two integrated nodes in the node network, and collecting the data to be processed collected by each sensor component in the node network through the integrated nodes through the NB-IoT component; fusing the data to be processed through the MCU component to obtain group data, and transmitting the group data to a data monitoring platform.

[0006] In some embodiments of the present application, based on the aforementioned scheme, a node network is constructed between the sensor components according to the node information of the sensor components and the location information obtained through the GNSS component, including: obtaining the location information of the nodes corresponding to each sensor through the GNSS component; determining the group nodes belonging to the same group according to the node information and location information of the sensor components; constructing a node network according to the node identifier of the group node, and generating a networking identifier of the node network.

[0007] In some embodiments of the present application, based on the aforementioned scheme, the group nodes belonging to the same group are determined according to the node information and location information of the sensor component, including: determining the node distance between each sensor according to the location information of the sensor component; according to the node distance, taking the nodes whose node distance is less than or equal to the distance threshold as the group nodes of the same group, and the number of nodes in the group nodes is less than or equal to the number threshold.

[0008] In some embodiments of the present application, based on the aforementioned scheme, the selecting of at least two integrated nodes in the node networking includes: determining the average distance between the central node and other nodes based on the node position of each node in the node networking, and determining the distance parameter corresponding to each node based on the ratio between the node distance and the average distance; determining the power parameter based on the ratio between the current power of the node and the power threshold; determining the storage parameter corresponding to the node based on the ratio between the current node load of the node and the node capacity; determining the integration parameter corresponding to the node based on the distance parameter, the power parameter and the storage parameter of the node; and selecting at least two nodes from the node networking as the integrated nodes according to the integration parameter.

[0009] In some embodiments of the present application, based on the aforementioned scheme, after selecting at least two integrated nodes in the node network, it also includes: encapsulating the node identification and address information of the at least two integrated nodes to generate an identification file; encrypting the identification file and its key to generate ciphertext information; and broadcasting the broadcast information in the node network.

[0010] In some embodiments of the present application, based on the aforementioned scheme, the integrated node collects the unprocessed data collected by each sensor component in the node networking through the NB-IoT component, including: after the nodes in the node networking obtain the identification file, the nodes decode the identification file to obtain the node identification and address information of the integrated node; based on the node identification and the address information, the data stored in the node is transmitted to the integrated node.

[0011] In some embodiments of the present application, based on the aforementioned scheme, the data to be processed is merged through the MCU component to obtain group data, including: when the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified; based on the data type and generation time of the data to be processed, the data to be processed is merged, and redundant data therein is deleted to obtain the group data.

[0012] According to one aspect of an embodiment of the present application, a multi-source data processing terminal based on Beidou navigation communication is provided, wherein the multi-source data processing terminal based on Beidou navigation communication integrates one or more communication chips such as a global navigation satellite system GNSS component, a micro-electromechanical system MEMS component, a sensor component, a micro-control unit MCU component, a narrowband Internet of Things NB-IoT component, and an embedded user identification card eSIM, and the terminal includes:

[0013] An acquisition module, used for acquiring data to be processed based on the sensor component; wherein the data to be processed includes rainfall data and soil moisture data collected by the humidity sensor, temperature data collected by the temperature sensor, and air pressure data collected by the air pressure sensor;

[0014] A networking module, used to build a node network between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component;

[0015] An integration module, used to select at least two integration nodes in the node network, and collect the to-be-processed data collected by each sensor component in the node network through the NB-IoT component through the integration nodes;

[0016] The transmission module is used to fuse the data to be processed through the MCU component to obtain group data, and transmit the group data to the data monitoring platform.

[0017] In some embodiments of the present application, based on the aforementioned scheme, a node network is constructed between the sensor components according to the node information of the sensor components and the location information obtained through the GNSS component, including: obtaining the location information of the nodes corresponding to each sensor through the GNSS component; determining the group nodes belonging to the same group according to the node information and location information of the sensor components; constructing a node network according to the node identifier of the group node, and generating a networking identifier of the node network.

[0018] In some embodiments of the present application, based on the aforementioned scheme, the group nodes belonging to the same group are determined according to the node information and location information of the sensor component, including: determining the node distance between each sensor according to the location information of the sensor component; according to the node distance, taking the nodes whose node distance is less than or equal to the distance threshold as the group nodes of the same group, and the number of nodes in the group nodes is less than or equal to the number threshold.

[0019] In some embodiments of the present application, based on the aforementioned scheme, the selecting of at least two integrated nodes in the node networking includes: determining the average distance between the central node and other nodes based on the node position of each node in the node networking, and determining the distance parameter corresponding to each node based on the ratio between the node distance and the average distance; determining the power parameter based on the ratio between the current power of the node and the power threshold; determining the storage parameter corresponding to the node based on the ratio between the current node load of the node and the node capacity; determining the integration parameter corresponding to the node based on the distance parameter, the power parameter and the storage parameter of the node; and selecting at least two nodes from the node networking as the integrated nodes according to the integration parameter.

[0020] In some embodiments of the present application, based on the aforementioned scheme, after selecting at least two integrated nodes in the node network, it also includes: encapsulating the node identification and address information of the at least two integrated nodes to generate an identification file; encrypting the identification file and its key to generate ciphertext information; and broadcasting the broadcast information in the node network.

[0021] In some embodiments of the present application, based on the aforementioned scheme, the integrated node collects the unprocessed data collected by each sensor component in the node networking through the NB-IoT component, including: after the nodes in the node networking obtain the identification file, the nodes decode the identification file to obtain the node identification and address information of the integrated node; based on the node identification and the address information, the data stored in the node is transmitted to the integrated node.

[0022] In some embodiments of the present application, based on the aforementioned scheme, the data to be processed is merged through the MCU component to obtain group data, including: when the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified; based on the data type and generation time of the data to be processed, the data to be processed is merged, and redundant data therein is deleted to obtain the group data.

[0023] According to one aspect of an embodiment of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the multi-source data processing method based on Beidou navigation communication as described in the above embodiment is implemented.

[0024] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the multi-source data processing method based on Beidou navigation communication as described in the above embodiments.

[0025] According to one aspect of the embodiments of the present application, a computer program product or a computer program is provided, the computer program product or the computer program includes a computer instruction, and the computer instruction is stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the multi-source data processing method based on Beidou navigation communication provided in the above-mentioned various optional implementations.

[0026] In the technical solutions provided in some embodiments of the present application, after obtaining the data to be processed based on the sensor component, a node network is constructed between the sensor components according to the node information of the sensor component and the location information obtained through the GNSS component, so as to select at least two integrated nodes in the node network, and the integrated nodes collect the data to be processed collected by each sensor component in the node network through the NB-IoT component, and the processed data is fused through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform, so that the collected data can be collected through intra-group transmission, which not only improves the data transmission efficiency within the group, but also reduces the energy consumption of the terminal node during data processing, thereby enhancing the efficiency and accuracy of environmental monitoring.

[0027] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0029] Figure 1A flowchart of a multi-source data processing method based on Beidou navigation communication according to an embodiment of the present application is schematically shown;

[0030] Figure 2 A flowchart of building a network according to an embodiment of the present application is schematically shown;

[0031] Figure 3 A schematic diagram of a multi-source data processing terminal based on Beidou navigation communication according to an embodiment of the present application is schematically shown;

[0032] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0034] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided so as to provide a full understanding of the embodiments of the present application. However, it will be appreciated by those skilled in the art that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, terminals, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the present application.

[0035] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0036] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0037] The implementation details of the technical solution of the embodiment of the present application are described in detail below:

[0038] In one embodiment of the present application, a multi-source data processing terminal based on Beidou navigation communication integrates the following module components: Global Navigation Satellite System (GNSS) components, Micro-Electro-Mechanical System (MEMS) components, sensor components, microcontroller units (MCU) components, narrowband Internet of Things (NB-IoT) components, embedded user identification cards (eSIM) and other one or more communication chips.

[0039] Among them, the GNSS component of the Global Navigation Satellite System, the GNSS positioning is an air-based radio navigation and positioning system that uses a group of satellite pseudo-ranges, ephemeris, satellite launch time and other observations to provide users with all-weather three-dimensional coordinates, speed and time information at any location on the Earth's surface or near-Earth space. Satellite navigation and positioning technology has basically replaced ground-based radio navigation, traditional geodetic and astronomical measurement navigation and positioning technology, and has promoted new developments in the fields of geodetic measurement and navigation and positioning. Rich navigation information can improve the availability, accuracy, completeness and reliability of satellite navigation users.

[0040] Micro-electromechanical system (MEMS) components are also called micro-electromechanical systems, microsystems, micromachines, etc., and refer to high-tech devices with a size of several millimeters or even smaller. The internal structure of a MEMS is generally in the micron or even nanometer level, and it is an independent intelligent system. The MEMS is a high-tech electronic mechanical device made by integrating technologies such as lithography, corrosion, thin film, LIGA, silicon micromachining, non-silicon micromachining and precision machining. It is a micro device or system that integrates micro sensors, micro actuators, micro mechanical structures, micro power sources, signal processing and control circuits, high-performance electronic integrated devices, interfaces, communications, etc. The MEMS components in this embodiment may include at least one of the following: MEMS optical sensors, MEMS pressure sensors, MEMS gyroscopes, MEMS humidity sensors, MEMS gas sensors, etc.

[0041] The microcontroller unit (MCU) component is a component that appropriately reduces the frequency and specifications of the central processing unit (CPU), and integrates peripheral interfaces such as memory, counter, universal serial bus (USB), A / D conversion, universal asynchronous receiver / transmitter (UART), programmable logic controller (PLC), and direct memory access (DMA). The operating frequency of 32-bit MCUs is mostly between 100 and 350MHz, with better execution performance and a wide range of application types. However, due to the increase in the number of operands and memory length, the program code length of the same function of the 32-bit MCU will increase by 30% to 40% compared to the 8 / 16-bit MCU. This results in the embedded OTP / FlashROM memory capacity not being too small, and the number of external pins of the chip has increased dramatically, further limiting the cost reduction ability of the 32-bit MCU.

[0042] Narrowband Internet of Things NB-IoT components are built on cellular networks, consuming only about 40kHz of bandwidth, and can be directly deployed on GSM networks, UMTS networks, or LTE networks to reduce deployment costs and achieve smooth upgrades. At the same time, NB-IoT supports cellular data connections for low-power devices in wide area networks, also known as low-power wide area networks. NB-IoT supports efficient connections for devices with long standby times and high network connection requirements, while also providing very comprehensive indoor cellular data connection coverage.

[0043] One or more communication chips such as embedded user identification card eSIM. The eSIM card embeds the traditional SIM card directly into the device chip instead of adding it to the device as an independent removable component. Users do not need to insert a physical SIM card. This approach will allow users to choose operator packages more flexibly, or change operators at any time without unlocking the device or purchasing a new device. The establishment of a universal eSIM standard in the future will save ordinary consumers and corporate users more mobile device usage costs and bring more convenience and security.

[0044] Figure 1 FIG. 1 is a flowchart of a method for processing multi-source data based on Beidou navigation communication according to an embodiment of the present application. Figure 1 As shown, the multi-source data processing method based on Beidou navigation communication includes at least steps S110 to S140, which are described in detail as follows:

[0045] In step S110, the data to be processed is acquired based on the sensor component; wherein the data to be processed includes rainfall data and soil moisture data collected by the humidity sensor, temperature data collected by the temperature sensor, and air pressure data collected by the air pressure sensor.

[0046] In one embodiment of the present application, the sensor components in the terminal are used to sense and collect the data to be processed in the environment. Exemplarily, the data to be processed in this embodiment includes rainfall data and soil content data collected by a humidity sensor, etc., and may also be temperature data collected by a temperature sensor, air pressure data collected by an air pressure sensor, etc.

[0047] In one application scenario, the sensors in the terminal of this embodiment can be used to collect geological conditions, for example, to predict or determine whether a geological disaster will occur by sensing geological data in real time, thereby ensuring the timeliness of data processing and the reliability of message transmission.

[0048] In step S120, a node network is constructed between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component.

[0049] In one embodiment of the present application, in this embodiment, the precise location information of each terminal node can be acquired through the GNSS component to build a node network between each sensor component based on the location information and node information.

[0050] In one embodiment of the present application, the node networking in this embodiment is used to transmit data within the group, that is, the data collected from the nodes in the group are aggregated into at least two nodes, so as to transmit the data to the upper layer network through at least two nodes.

[0051] In one embodiment of the present application, Figure 2 As shown, in step S120, the process of building a node network between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component specifically includes steps S121 to S123:

[0052] S121: Acquire location information of nodes corresponding to each sensor through the GNSS component;

[0053] S122: Determine the group nodes belonging to the same group according to the node information and position information of the sensor component;

[0054] S123: constructing a node network according to the node identifiers of the group nodes, and generating a network identifier of the node network.

[0055] Specifically, in this embodiment, each node obtains its location information through the GNSS component, and then determines the group nodes belonging to the same group based on the location information and node information. For example, nodes with relatively close locations and the same data types collected are regarded as group nodes belonging to the same group, and then a node network is constructed according to the node identifiers of the group nodes to generate a network identifier of the node network.

[0056] This embodiment constructs a network in the above manner, which is beneficial to data transmission between nodes of the same type and can reduce the capacity consumption in the process of node data transmission and processing. At the same time, it can also timely reduce the node load and improve the operating efficiency of the node during operation.

[0057] In an embodiment of the present application, determining group nodes belonging to the same group according to the node information and position information of the sensor assembly includes:

[0058] According to the location information of the sensor components, the node distance between each sensor is determined;

[0059] According to the node distance, nodes whose node distance is less than or equal to a distance threshold are taken as group nodes of the same group, and the number of nodes in the group nodes is less than or equal to a number threshold.

[0060] Specifically, in this embodiment, each node obtains its location information through the GNSS component, and broadcasts its location information to the entire network. The node can calculate the distance between itself and other nodes through its own location information and the location information between other nodes. After calculating the node distance, a certain node is taken as the central node, and when the node distance corresponding to the central node is less than or equal to the distance threshold, the corresponding node is regarded as a group node of the same group, and the number of nodes in the same group is set to be less than or equal to the number threshold. If the number threshold is exceeded, a new node group is constructed.

[0061] The distance threshold in this embodiment can be calculated in real time, for example, by calculating the average distance between all nodes to obtain the average distance. The average distance is used as the distance threshold, and a reasonable distance threshold can be determined according to the actual situation through the above-mentioned method of calculating the distance threshold, so as to delineate a suitable networking area based on the distance threshold, thereby improving the rationality of networking construction.

[0062] In step S130, at least two integrated nodes are selected in the node network, and the integrated nodes collect the data to be processed collected by each sensor component in the node network through the NB-IoT component.

[0063] In one embodiment of the present application, after the node network is constructed, at least two integration nodes are selected from the node network to collect the to-be-processed data collected by other nodes in the node network through the integration nodes.

[0064] In this embodiment, the method for selecting the integration node may be performed by random selection, or may be based on the node identifier, and the integration node may be selected in turn in order to ensure the life of the integration node.

[0065] In an embodiment of the present application, selecting at least two integration nodes in the node network includes the following process:

[0066] Determine node parameters based on node information of each node in the node network, wherein the node parameters include at least one of the following: distance parameter, power parameter, and storage parameter;

[0067] An integration parameter is determined based on the node parameter, and at least two nodes are selected from the node network as the integration nodes according to the integration parameter.

[0068] The specific process of calculating node parameters includes the following steps:

[0069] Based on the node position of each node in the node network, determine the average distance between the central node and other nodes, and based on the ratio between the node distance and the average distance, determine the distance parameter corresponding to the node;

[0070] Determining a power parameter based on a ratio between a current power of the node and a power threshold;

[0071] Determining a storage parameter corresponding to the node based on a ratio between a current node load and a node capacity of the node;

[0072] Determining an integration parameter corresponding to the node based on the distance parameter of the node, the power parameter and the storage parameter;

[0073] In one embodiment of the present application, the central node can be determined based on the node position of each node in the node network, and then the average value of the distance between the central node and other nodes is calculated to obtain the average distance. The average distance in this embodiment is used to measure the length of the distance between nodes, that is, to determine the distance parameter corresponding to each node. In this embodiment, based on the ratio between the node distance and the average distance, the distance parameter corresponding to each node is determined as:

[0074] Par_dis=β·log2(dis_node / dis_ave)

[0075] Among them, Par_dis represents the distance parameter; β represents the preset distance parameter factor; dis_node represents the node distance; dis_ave represents the average distance. Based on the operation principle of the node, the smaller the distance parameter, the better.

[0076] In an embodiment of the present application, based on the ratio between the current power of the node and the power threshold, the power parameter is determined as:

[0077] Par_ele=ε·log2(ele_node / ele_max)

[0078] Among them, Par_ele represents the power parameter; ε represents the preset power parameter factor; ele_node represents the node power; ele_max represents the power threshold. Based on the operation principle of the node, the larger the power parameter, the better.

[0079] In one embodiment of the present application, based on the ratio between the current node load and the node capacity of the node, the storage parameter corresponding to the node is determined as:

[0080] Par_sto=η·log2(sto_node / sto_max)

[0081] Among them, Par_sto represents the storage parameter; η represents the preset storage parameter factor; sto_node represents the current node load of the node, that is, the current data storage capacity of the node; sto_max represents the node capacity.

[0082] In an embodiment of the present application, after the distance parameter, power parameter and storage parameter are calculated, these parameters are weighted based on the set weight value to obtain the integrated parameter corresponding to each node. The weight value in this embodiment may correspond to the parameter factor in the above parameter calculation process. In this embodiment, based on the distance parameter, power parameter and storage parameter of the node, the integrated parameter corresponding to the node is determined as:

[0083] Par_int=-Par_dis+Par_ele-Par_sto

[0084] After the integration parameter is calculated, the node with the larger integration parameter can be selected as the integration node. In this embodiment, the number of integration nodes can be one, two or more, which can be determined by the amount of data and the total number of nodes.

[0085] In an embodiment of the present application, after selecting at least two integration nodes in the node networking, the method further includes:

[0086] Encapsulating the node identification and address information of the at least two integration nodes to generate an identification file;

[0087] Encrypting the identification file and its key to generate ciphertext information;

[0088] The broadcast information is broadcasted in the node network.

[0089] In this embodiment, after the integration node is determined, the information of the integration node is encapsulated according to the node identification and address information of the integration node to obtain an identification file, and the identification file is broadcast in the node network to notify the nodes within the network that data information needs to be transmitted to the integration node.

[0090] Furthermore, in this embodiment, the node identification and address information can be combined to obtain text information, and then the text information is encrypted based on the node key to generate ciphertext information, and the target position is calculated based on the length of the ciphertext information, and the node key is inserted into the corresponding target position in the ciphertext information to generate broadcast information, and the node key length in this embodiment is fixed. Specifically, the target position is calculated by the following formula:

[0091] dig=|α·e logmont_cip |

[0092] Among them, dig represents the target position, that is, the number of digits obtained by rounding up the calculated number, α represents the preset position factor, and mont_cip represents the length of the ciphertext information.

[0093] The identity information of the centralized node can be encrypted in the above manner, so that only the nodes in the network can obtain the identity information of the centralized node, thereby improving the security of data transmission within the group.

[0094] In one embodiment of the present application, the integrated node collects the to-be-processed data collected by each sensor component in the node network through the NB-IoT component, including:

[0095] After acquiring the identification file, the nodes in the node network decode the identification file to obtain the node identification and address information of the integrated node;

[0096] Based on the node identifier and the address information, the data stored in the node is transmitted to the integration node.

[0097] Specifically, after the nodes in the node network in this embodiment obtain the identification file, they decode and decrypt the identification file to obtain the node identification and address information of the integrated node. Then, based on the address information and node identification of the integrated node, the data stored in the node is transmitted to the integrated node.

[0098] In step S140, the data to be processed are integrated through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform.

[0099] After acquiring the data to be processed from the nodes in the group, the integrated node fuses the data to be processed through the MCU component to obtain group data, and transmits the group data to the data monitoring platform.

[0100] In this embodiment, the data to be processed is integrated by the MCU component to obtain group data, including:

[0101] When the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified;

[0102] Based on the data type and generation time of the data to be processed, the data to be processed are subjected to data fusion, and redundant data therein is deleted to obtain the group data.

[0103] Specifically, in this embodiment, the data to be processed that belongs to the same data type and the same generation time are fused, and other redundant data such as data of the same geographical location, the same generation time, and the same data type are deleted to obtain group data, so as to reduce the degree of data redundancy and the amount of data for parameter processing and improve the efficiency of data processing and data transmission.

[0104] In the technical solutions provided in some embodiments of the present application, the data to be processed is obtained based on the sensor component, and then a node network is constructed between the sensor components according to the node information of the sensor component and the location information obtained through the GNSS component, so as to select at least two integrated nodes in the node network, and the integrated nodes collect the data to be processed collected by each sensor component in the node network through the NB-IoT component, and the data to be processed is fused through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform, so that the collected data can be collected through intra-group transmission, which not only improves the data transmission efficiency within the group, but also reduces the energy consumption of the terminal node during data processing, thereby enhancing the efficiency and accuracy of environmental monitoring.

[0105] The following introduces an embodiment of the device of the present application, which can be used to execute the multi-source data processing method based on Beidou navigation communication in the above embodiment of the present application. It can be understood that the device can be a computer program (including program code) running in a computer device, for example, the device is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the multi-source data processing method based on Beidou navigation communication in the above embodiment of the present application.

[0106] Figure 3 A block diagram of a multi-source data processing terminal based on Beidou navigation communication according to an embodiment of the present application is shown.

[0107] Reference Figure 3 As shown, according to an embodiment of the present application, a multi-source data processing terminal 300 based on Beidou navigation communication integrates one or more communication chips such as a global navigation satellite system GNSS component, a micro-electromechanical system MEMS component, a sensor component, a micro-control unit MCU component, a narrowband Internet of Things NB-IoT component, and an embedded user identification card eSIM, and the terminal includes:

[0108] An acquisition module 310 is used to acquire data to be processed based on the sensor component; wherein the data to be processed includes rainfall data and soil moisture data collected by the humidity sensor, temperature data collected by the temperature sensor, and air pressure data collected by the air pressure sensor;

[0109] A networking module 320, configured to construct a node network between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component;

[0110] An integration module 330 is used to select at least two integration nodes in the node network, and collect the to-be-processed data collected by each sensor component in the node network through the integration nodes through the NB-IoT component;

[0111] The transmission module 340 is used to fuse the data to be processed through the MCU component to obtain group data, and transmit the group data to the data monitoring platform.

[0112] In some embodiments of the present application, based on the aforementioned scheme, a node network is constructed between the sensor components according to the node information of the sensor components and the location information obtained through the GNSS component, including: obtaining the location information of the nodes corresponding to each sensor through the GNSS component; determining the group nodes belonging to the same group according to the node information and location information of the sensor components; constructing a node network according to the node identifier of the group node, and generating a networking identifier of the node network.

[0113] In some embodiments of the present application, based on the aforementioned scheme, the group nodes belonging to the same group are determined according to the node information and location information of the sensor component, including: determining the node distance between each sensor according to the location information of the sensor component; according to the node distance, taking the nodes whose node distance is less than or equal to the distance threshold as the group nodes of the same group, and the number of nodes in the group nodes is less than or equal to the number threshold.

[0114] In some embodiments of the present application, based on the aforementioned scheme, the selecting of at least two integrated nodes in the node networking includes: determining the average distance between the central node and other nodes based on the node position of each node in the node networking, and determining the distance parameter corresponding to each node based on the ratio between the node distance and the average distance; determining the power parameter based on the ratio between the current power of the node and the power threshold; determining the storage parameter corresponding to the node based on the ratio between the current node load of the node and the node capacity; determining the integration parameter corresponding to the node based on the distance parameter, the power parameter and the storage parameter of the node; and selecting at least two nodes from the node networking as the integrated nodes according to the integration parameter.

[0115] In some embodiments of the present application, based on the aforementioned scheme, after selecting at least two integrated nodes in the node network, it also includes: encapsulating the node identification and address information of the at least two integrated nodes to generate an identification file; encrypting the identification file and its key to generate ciphertext information; and broadcasting the broadcast information in the node network.

[0116] In some embodiments of the present application, based on the aforementioned scheme, the integrated node collects the unprocessed data collected by each sensor component in the node networking through the NB-IoT component, including: after the nodes in the node networking obtain the identification file, the nodes decode the identification file to obtain the node identification and address information of the integrated node; based on the node identification and the address information, the data stored in the node is transmitted to the integrated node.

[0117] In some embodiments of the present application, based on the aforementioned scheme, the data to be processed is merged through the MCU component to obtain group data, including: when the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified; based on the data type and generation time of the data to be processed, the data to be processed is merged, and redundant data therein is deleted to obtain the group data.

[0118] In the technical solutions provided in some embodiments of the present application, the data to be processed is obtained based on the sensor component, and then a node network is constructed between the sensor components according to the node information of the sensor component and the location information obtained through the GNSS component, so as to select at least two integrated nodes in the node network, and the integrated nodes collect the data to be processed collected by each sensor component in the node network through the NB-IoT component, and the data to be processed is fused through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform, so that the collected data can be collected through intra-group transmission, which not only improves the data transmission efficiency within the group, but also reduces the energy consumption of the terminal node during data processing, thereby enhancing the efficiency and accuracy of environmental monitoring.

[0119] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0120] It should be noted that Figure 4 The computer system 400 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0121] like Figure 4 As shown, the computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. In the RAM 403, various programs and data required for system operation are also stored. The CPU 401, ROM 402 and RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0122] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0123] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 409, and / or installed from a removable medium 411. When the computer program is executed by a central processing unit (CPU) 401, various functions defined in the system of the present application are executed.

[0124] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0125] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0126] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0127] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above-mentioned various optional implementations.

[0128] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0129] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0130] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0131] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0132] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A multi-source data processing method based on Beidou navigation communication, characterized in that: The method is applied to a multi-source data processing terminal based on Beidou navigation communication, wherein the multi-source data processing terminal based on Beidou navigation communication integrates one or more communication chips such as a global navigation satellite system GNSS component, a micro-electromechanical system MEMS component, a sensor component, a micro-control unit MCU component, a narrowband Internet of Things NB-IoT component, and an embedded user identification card eSIM. The method comprises: Acquire data to be processed based on the sensor component; wherein the data to be processed includes rainfall data and soil moisture data collected by the humidity sensor, temperature data collected by the temperature sensor, and air pressure data collected by the air pressure sensor; Building a node network between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component; The step of constructing a node network between the sensor components according to the node information of the sensor components and the location information obtained through the GNSS component includes: Obtain the location information of the nodes corresponding to each sensor through the GNSS component; Determining group nodes belonging to the same group according to the node information and position information of the sensor component; Building a node network according to the node identifiers of the group nodes, and generating a network identifier of the node network; Select at least two integrated nodes in the node network, and collect the to-be-processed data collected by each sensor component in the node network through the integrated nodes through the NB-IoT component; The selecting at least two integration nodes in the node networking includes: Determine node parameters based on node information of each node in the node network, wherein the node parameters include at least one of the following: distance parameter, power parameter, and storage parameter; Determining integration parameters based on the node parameters, and selecting at least two nodes from the node network as the integration nodes according to the integration parameters; The collecting of the to-be-processed data collected by each sensor component in the node network through the NB-IoT component by the integrated node includes: After acquiring the identification file, the nodes in the node network decode the identification file to obtain the node identification and address information of the integrated node; Based on the node identifier and the address information, transmitting the data stored in the node to the integration node; The data to be processed are integrated through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform; The step of fusing the data to be processed by the MCU component to obtain group data includes: When the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified; Based on the data type and generation time of the data to be processed, the data to be processed are subjected to data fusion, and redundant data therein is deleted to obtain the group data.

2. The method according to claim 1, characterized in that Determining group nodes belonging to the same group according to the node information and position information of the sensor assembly includes: According to the location information of the sensor components, the node distance between each sensor is determined; According to the node distance, nodes whose node distance is less than or equal to a distance threshold are taken as group nodes of the same group, and the number of nodes in the group nodes is less than or equal to a number threshold.

3. The method according to claim 1, characterized in that After selecting at least two integration nodes in the node network, the method further includes: Encapsulating the node identification and address information of the at least two integration nodes to generate text information; Encrypting the text information to generate broadcast information; The broadcast information is broadcasted in the node network.

4. A multi-source data processing terminal based on Beidou navigation communication, characterized in that: The multi-source data processing terminal based on Beidou navigation communication integrates one or more communication chips such as global navigation satellite system GNSS components, micro-electromechanical system MEMS components, sensor components, micro-control unit MCU components, narrowband Internet of Things NB-IoT components, and embedded user identification card eSIM, including: Acquire data to be processed based on the sensor component; wherein the data to be processed includes rainfall data and soil moisture data collected by the humidity sensor, temperature data collected by the temperature sensor, and air pressure data collected by the air pressure sensor; Building a node network between the sensor components according to the node information of the sensor components and the location information obtained by the GNSS component; The step of constructing a node network between the sensor components according to the node information of the sensor components and the location information obtained through the GNSS component includes: Obtain the location information of the nodes corresponding to each sensor through the GNSS component; Determining group nodes belonging to the same group according to the node information and position information of the sensor component; Building a node network according to the node identifiers of the group nodes, and generating a network identifier of the node network; Select at least two integrated nodes in the node network, and collect the to-be-processed data collected by each sensor component in the node network through the integrated nodes through the NB-IoT component; The selecting at least two integration nodes in the node networking includes: Determine node parameters based on node information of each node in the node network, wherein the node parameters include at least one of the following: distance parameter, power parameter, and storage parameter; Determining integration parameters based on the node parameters, and selecting at least two nodes from the node network as the integration nodes according to the integration parameters; The collecting of the to-be-processed data collected by each sensor component in the node network through the NB-IoT component by the integrated node includes: After acquiring the identification file, the nodes in the node network decode the identification file to obtain the node identification and address information of the integrated node; Based on the node identifier and the address information, transmitting the data stored in the node to the integration node; The data to be processed are integrated through the MCU component to obtain group data, and the group data is transmitted to the data monitoring platform; The step of fusing the data to be processed by the MCU component to obtain group data includes: When the data to be processed transmitted by the nodes in each group is obtained, the data type and generation time of the data to be processed are identified; Based on the data type and generation time of the data to be processed, the data to be processed are subjected to data fusion, and redundant data therein is deleted to obtain the group data.

5. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the multi-source data processing method based on Beidou navigation communication is implemented as described in any one of claims 1 to 3.

6. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the multi-source data processing method based on Beidou navigation communication as described in any one of claims 1 to 3.

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