CN114070863A

CN114070863A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN114070863A
Application number: CN202111239559.6A
Authority: CN
Inventors: 刘俊; 赵洪鹏
Original assignee: Wuhan Easylinkin Technology Co ltd
Current assignee: Wuhan Easylinkin Technology Co ltd
Priority date: 2021-10-25
Filing date: 2021-10-25
Publication date: 2022-02-18
Anticipated expiration: 2041-10-25
Also published as: CN114070863B

Abstract

The application discloses a data processing method and device, electronic equipment and a storage medium. The method is applied to the edge gateway and comprises the following steps: acquiring first data of at least one sensor; analyzing the first data of each sensor in at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data. And uploading the first data and the first attribute of each sensor to the Internet of things platform.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a data processing method and apparatus, an electronic device, and a storage medium.

Background

The internet of things comprises a great number of sensors, data collected by the sensors are uploaded to an internet of things platform through a network, the data collected by the sensors are encrypted or converted before being uploaded, and the internet of things platform can present the data only by analyzing and processing the data uploaded by the sensors. In the correlation technique, the data analysis is performed through the Internet of things platform, so that the analysis efficiency is low, and the redundancy of the Internet of things platform is high due to the huge operation amount.

Disclosure of Invention

In view of this, embodiments of the present application mainly aim to provide a data processing method, an apparatus, an electronic device, and a storage medium, so as to solve the problems in the related art that the efficiency of analyzing data of an internet of things platform is low and the redundancy of the internet of things platform is high in a data analyzing process.

In order to achieve the above purpose, the technical solution of the embodiment of the present application is implemented as follows:

the embodiment of the application provides a data processing method, which is applied to an edge gateway and comprises the following steps:

acquiring first data of at least one sensor;

analyzing the first data of each sensor in the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data;

and uploading the first data and the first attribute of each sensor to the Internet of things platform.

In the foregoing solution, the acquiring first data of at least one sensor includes:

determining an address and a data storage address corresponding to each sensor in the at least one sensor;

and acquiring first data of each sensor based on the determined corresponding address of each sensor and the data storage address.

a first instruction is sent out; the first instruction is used for requesting to acquire first data;

in a case where a first response of the sensor with respect to the first instruction is received, first data of the sensor that has transmitted the first response is acquired.

In the foregoing aspect, when the analyzing the first data of each sensor of the at least one sensor based on the set object model to obtain the first attribute of the first data of each sensor, the method includes:

determining a sensor address carried by the first data of each sensor;

based on the sensor address, a first attribute of first data corresponding to the sensor address is found in a set object model.

In the above solution, before the acquiring the first data of the at least one sensor, the method includes:

configuring a corresponding relation between an address corresponding to each sensor in the at least one sensor and a first attribute of corresponding first data;

and storing the corresponding relation between the address corresponding to each sensor and the first attribute of the corresponding first data to a set object model.

In the above aspect, the analyzing the first data of each sensor of the at least one sensor based on the set object model includes:

judging whether the data format of the acquired first data of each sensor is a set data format or not to obtain a judgment result;

and when the data format of the first data of each sensor represented and acquired by the judgment result is a set data format, analyzing the first data of each sensor in the at least one sensor based on a set object model.

In the above solution, after the acquiring the first data of the at least one sensor, the method further includes:

receiving a first query instruction; the first query instruction is used for requesting to query first data;

returning first data of the sensor corresponding to the first identifier based on the first identifier carried by the first query instruction; wherein the content of the first and second substances,

the first identification characterizes an identification of a sensor that the first query instruction requests to query.

An embodiment of the present application further provides a data processing apparatus, where the apparatus includes:

an acquisition unit for acquiring first data of at least one sensor;

The analysis unit is used for analyzing the first data of each sensor in the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data;

and the uploading unit is used for uploading the first data and the first attribute of each sensor to the Internet of things platform.

The embodiment of the application also provides an internet of things system, which comprises at least one sensor, an edge gateway and an internet of things platform; wherein the content of the first and second substances,

the sensor is used for acquiring first data and sending the first data to the edge gateway;

the edge gateway is used for receiving first data sent by at least one sensor; analyzing the first data of each sensor in the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; uploading the first data and the first attributes of each sensor to an Internet of things platform; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data;

The Internet of things platform is used for receiving and presenting the first data and the first attributes of each sensor uploaded by the edge gateway.

An embodiment of the present application further provides an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor, wherein,

the processor is adapted to perform the steps of any of the above methods when running the computer program.

Embodiments of the present application further provide a storage medium on which a computer program is stored, where the computer program is executed by a processor to implement the steps of any one of the above methods.

In the embodiment of the application, first data of at least one sensor is acquired, and the first data of each sensor in the at least one sensor is analyzed based on a set object model to obtain a first attribute of the first data of each sensor, wherein the set object model stores a corresponding relationship between an address of each sensor and the first attribute of the corresponding first data. And uploading the first data and the first attribute of each sensor to the Internet of things platform. Therefore, after the first data of at least one sensor is obtained, data analysis is carried out through one unified object model, the corresponding object model does not need to be searched according to the type of each sensor, and data analysis is carried out according to the corresponding object model, so that the data analysis efficiency is improved. And the data analysis process is completed at the edge gateway, the analyzed data is uploaded to the Internet of things platform, the Internet of things platform is not needed to analyze the data, the operation amount of the Internet of things platform is reduced, and therefore the redundancy of the Internet of things platform is reduced.

Drawings

FIG. 1 is a diagram illustrating a data parsing process in the related art;

fig. 2 is a schematic flow chart illustrating an implementation of a data processing method according to an embodiment of the present application;

fig. 3 is a schematic diagram of data acquisition and transmission provided in an embodiment of the present application;

FIG. 4 is a schematic diagram of acquiring first data of a sensor according to an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of another embodiment of the present application for acquiring first data of a sensor;

FIG. 6 is a schematic view of a setup object model provided in an embodiment of the present application;

FIG. 7 is a schematic diagram of a first data of a sensor after parsing as provided by an embodiment of the present application;

FIG. 8 is a diagram illustrating a local tool querying first data based on a first query instruction according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an Internet of things system provided by an embodiment of the application;

FIG. 10 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;

fig. 11 is a schematic diagram of a hardware component structure of an electronic device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.

In addition, in the embodiments of the present application, the terms "first", "second", and the like are used for distinguishing similar objects, and are not necessarily used for describing a particular order or sequence. The term "and/or" is merely an associative relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" means any combination of at least two of any one or more of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

The method comprises the steps that an extremely large number of sensors exist in the Internet of Things, data collected by the sensors are uploaded to an Internet of Things platform through a Network, the data collected by the sensors are encrypted or converted before being uploaded, and then the data are uploaded to the Internet of Things platform through different communication networks such as a Narrow Band Internet of Things (NB-IOT), a fourth generation mobile communication technology 4G Network, a Long Range Wide Area Network (LoRaWAN), and the like. If the data uploaded by the sensor are not processed and directly displayed by the Internet of things platform, the client cannot know the meaning represented by the data. Therefore, the data uploaded by the sensor needs to be analyzed into data that can be understood by the client.

In the related art, the internet of things platform mainly has two data analysis modes.

1. One-to-one data analysis method. Various sensors collect data of the terminal, such as temperature, humidity, illumination intensity, toxic gas concentration, smoke concentration and the like. The sensors upload the acquired data to the Internet of things platform through communication modes such as 4G/NB-IOT represented by a cellular network and LoRaWAN represented by an unauthorized network. And the Internet of things platform analyzes the data one to one according to the data uploaded by each sensor.

The most common data analysis mode is that the sensors collect data, the data collected is transmitted through a network, and the data is analyzed through an internet of things platform, and the data uploaded by each sensor is analyzed independently according to the mode, so that the data analysis is clear and clear, but the analysis efficiency is low.

2. One-to-many data analysis method. The method is optimized in a one-to-one data analysis mode, and data uploaded by the same type of sensors are made into a unified data model, namely an object model. On the basis of one-to-one independent data analysis, a union of analysis fields (referring to attributes and services of the sensors) of data uploaded by the same type of sensors is taken. When a sensor is newly connected to the Internet of things, the object model matched with the type of the sensor can be adopted for data analysis, and compared with a one-to-one data analysis mode, the data analysis efficiency can be slightly improved. However, although the object model is matched with the type of the sensor, the actual data analysis process is usually performed separately, and thus the data analysis efficiency is still low.

Fig. 1 is a schematic diagram of a data parsing process in the related art, as shown in fig. 1:

the sensor 1, the sensor 2 and the sensor 3 are the same type of sensors, namely, temperature and humidity sensors, and the two attributes of temperature and humidity are obtained through final analysis, so that the three sensors correspond to the same object model.

The data transmission mode of the sensor 1 is RS485, and the corresponding transmission protocol is a serial communication protocol modbus. The data transmission mode of the sensor 2 is NB-IOT, and the corresponding transmission protocol is NB-IOT. The data transmission mode of the sensor 3 is LoRa, and the corresponding transmission protocol is LoRaWAN.

Even if the three sensors correspond to the same object model, the data transmission mode and the transmission protocol corresponding to each sensor are different, and the definition of the corresponding data format is also different, so that the analysis processes are also different.

In addition, even if the data transmission mode and the transmission protocol of the two sensors are the same, for example, the data transmission mode is LoRa, and the corresponding transmission protocol is LoRaWAN, the analysis process cannot be performed uniformly due to different definitions of data formats of data collected by the sensors by different manufacturers.

That is to say, in the related art, not only the analysis efficiency is low when data analysis is performed through the internet of things platform, but also the redundancy of the internet of things platform is high due to the huge computation amount.

Based on this, an embodiment of the present application provides a data processing method, an apparatus, an electronic device, and a storage medium, which acquire first data of at least one sensor, and analyze the first data of each sensor of the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor, where the set object model stores a correspondence relationship between an address of each sensor and the first attribute of corresponding first data. And uploading the first data and the first attribute of each sensor to the Internet of things platform. Therefore, after the first data of at least one sensor is obtained, data analysis is carried out through one unified object model, the corresponding object model does not need to be searched according to the type of each sensor, and data analysis is carried out according to the corresponding object model, so that the data analysis efficiency is improved. And the data analysis process is completed at the edge gateway, the analyzed data is uploaded to the Internet of things platform, the Internet of things platform is not needed to analyze the data, the operation amount of the Internet of things platform is reduced, and therefore the redundancy of the Internet of things platform is reduced.

The present application will be described in further detail with reference to the following drawings and examples.

Fig. 2 is a schematic flow chart illustrating an implementation of the data processing method according to the embodiment of the present application. The method is applied to an edge gateway, and as shown in fig. 2, the method includes:

step 201: first data is acquired for at least one sensor.

Here, first data of at least one sensor is acquired, the first data corresponding to a type of the sensor. If the sensor is a temperature sensor, the corresponding first data may be a temperature value; the sensor is a noise sensor, and the corresponding first data may be a noise value.

In practical application, a plurality of sensors corresponding to different transmission protocols are connected to the edge gateway through the RS485 interface, and the first data of each sensor is obtained through the edge gateway.

Fig. 3 is a schematic diagram of data acquisition and transmission provided in the embodiment of the present application, as shown in fig. 3:

the transmission protocol corresponding to the sensors 1, 2 and 3 is a modbus protocol, and the transmission protocol corresponding to the sensors 4, 5 and 6 is a power meter communication DLT645 protocol. All sensors are connected to the edge gateway through RS485 interfaces.

The edge gateway is configured with a data processing module, and the data processing module consists of a data acquisition driver, a real-time database and a data uploading driver. The data acquisition driver can downwards transmit data with each sensor through a transmission protocol to obtain first data of each sensor, and the obtained first data of each sensor are stored in the real-time database. After the first data of each sensor in the real-time database are analyzed, the data uploading driver uploads the analyzed first data to the Internet of things platform through a specific transmission protocol.

In one embodiment, the acquiring first data of at least one sensor includes:

Here, each sensor is configured with a sensor address and a data storage address, and the corresponding sensor can be determined according to the sensor address; according to the data storage address of the sensor, the storage position of the first data collected by the sensor can be determined. Therefore, the address and the data storage address corresponding to each sensor are determined, and the first data of each sensor is acquired from the data storage address of each sensor based on the address and the data storage address corresponding to each sensor.

In practical application, each sensor is configured with a unique name, address and data storage address, and is further configured with a read-write type of the acquired first data and a data type of the first data.

Fig. 4 is a schematic diagram of acquiring first data of a sensor according to an embodiment of the present application, as shown in fig. 4:

it should be noted that the transmission protocol corresponding to the sensor in fig. 4 is a modbus protocol.

The device name of the sensor is modbusRTU _1, the read-write type of the acquired first data is read only, the address of the sensor is 0001, the register area is A0 to hold a register, the data storage address of the sensor is 0101, and the type of the acquired first data is Byte 8-bit unsigned number.

Based on the sensor address 0001 and the data storage address 0101, the first data of the sensor modbusRTU _1 can be obtained.

Fig. 5 is a schematic diagram of another embodiment of the present application for acquiring first data of a sensor, as shown in fig. 5:

it should be noted that the transmission protocol corresponding to the sensor in fig. 5 is the DLT645 protocol.

The device name of the sensor is DLT645, the read-write type of the acquired first data is read only, the address of the sensor is 0118, the register area is A1 to hold a register, the data storage address of the sensor is 0201, and the type of the acquired first data is Float single-precision floating point number.

Based on sensor address 0118 and data storage address 0201, first data for sensor DLT645 may be obtained.

The first data of each sensor is acquired based on the address corresponding to each sensor and the data storage address, so that the first data of each sensor can be accurately acquired.

In one embodiment, the acquiring first data of at least one sensor includes:

Here, the edge gateway may issue a first instruction for requesting to obtain first data of the sensor. The edge gateway may issue the first instruction only to a specific type of sensor, or may issue the first instruction to all types of sensors.

If the edge gateway receives a first response from the sensor with respect to the first instruction, indicating that the sensor is currently active, in this case, first data is obtained for the sensor that sent the first response.

In an actual communication process, a packet loss situation may occur, so that the edge gateway cannot receive the first response of the sensor, and therefore, the edge gateway may start a timer when sending the first instruction to determine whether the packet loss situation occurs. The edge gateway may resend the first instruction if the first response from any of the sensors is not received after the timer expires.

By acquiring only the first data of the sensor that transmitted the first response, the efficiency of acquiring the first data can be improved.

Step 202: analyzing the first data of each sensor in the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data.

After the first data of at least one sensor is obtained, the first data of each sensor is analyzed based on the set object model, and a first attribute of the first data of each sensor is obtained. The set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data. The first attribute includes a name of the first data and/or a functional type of the first data.

In an embodiment, when the first data of each sensor of the at least one sensor is analyzed based on the set object model to obtain a first attribute of the first data of each sensor, the method includes:

determining a sensor address carried by the first data of each sensor;

Here, the first data of each sensor carries a corresponding sensor address, and when the first data of each sensor is analyzed, the sensor address carried by the first data of each sensor is determined. And the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data, so that the first attribute of the first data matched with the sensor address is searched in the set object model based on the determined sensor address, the first attribute of the first data of each sensor is determined, that is, the specific meaning of the first data of each sensor is clear, and the data analysis process is completed.

Fig. 6 is a schematic diagram of a set object model provided in the embodiment of the present application, as shown in fig. 6:

the set object model stores a correspondence between the sensor address and the first attribute of the corresponding first data.

The first attribute of the first data of the sensors with

sensor addresses

0001, 0002, 0003 is the phase current, that is, the first data collected by the sensors with

sensor addresses

0001, 0002, 0003 is the value of the phase current.

The first property of the first data of the sensor with the sensor address of 0004, 0005, 0006 is temperature, that is, the first data collected by the sensor with the sensor address of 0004, 0005, 0006 is a numerical value of temperature.

The first attribute of the first data of the sensor with the sensor address of 0007, 0008, 0009 is humidity, that is, the first data collected by the sensor with the sensor address of 0007, 0008, 0009 is a value of humidity.

The first attribute of the first data of the sensor with

sensor address

0010, 0011, 0012 is CO concentration, that is, the first data collected by the sensor with

sensor address

0010, 0011, 0012 is the value of CO concentration.

The first attribute of the corresponding first data is found out in the set object model based on the sensor address carried by the first data of each sensor, so that the first attribute of the first data of the sensor can be accurately obtained based on the sensor address, and the first data can be accurately and quickly analyzed.

In an embodiment, prior to said acquiring first data of at least one sensor, the method comprises:

Before the first data of the sensors is acquired, the corresponding relation between the address corresponding to each sensor and the first attribute of the corresponding first data is configured, and the corresponding relation is stored in the set object model, so that accurate and rapid data analysis can be performed based on the set object model after the first data of the sensors is acquired.

In one embodiment, the analyzing the first data of each of the at least one sensor based on the set object model includes:

Here, when the first data of the sensor is analyzed based on the set object model, it is necessary to determine whether or not the data format of the first data of each sensor is the set data format. The set data format may be a data format corresponding to a standard transmission protocol in the industry, and for example, data formats corresponding to standard transmission protocols such as modbusRTU, modbusTCP, IEC60870-103/101/104, DLT645/97 ═ 07, GW376.1, CDT188, and the like are all set data formats.

The data analysis processes of the data formats corresponding to different standard transmission protocols are the same and are applicable to the same data analysis process, but the data analysis processes of the data formats corresponding to non-standard transmission protocols are different and cannot be applicable to the same data analysis process, so that from the viewpoint of uniformly analyzing the data and improving the efficiency of data analysis, whether the data format of the first data of the sensor is the set data format or not needs to be judged when the data analysis is performed.

And if the data format of the first data of each sensor is judged to be the set data format, the first data of each sensor is proved to meet the condition of uniformly analyzing the data, and at the moment, the first data of each sensor is analyzed based on the set object model.

If the data format of the first data of the sensor is judged not to be the set data format, the first data of the sensor is not in accordance with the condition for uniformly analyzing the data, and at the moment, the first data of the sensor cannot be analyzed based on the set object model.

In some application scenarios, if the data format of the first data of only a part of the sensors is determined to be the set data format, it is indicated that the first data of only the part of the sensors meet the condition for performing data analysis uniformly, and at this time, the first data of the part of the sensors are analyzed based on the set object model.

When the data format of the first data of the sensor is the set data format, the data analysis is performed based on the set object model, so that the efficiency of the data analysis can be improved.

Step 203: and uploading the first data and the first attribute of each sensor to the Internet of things platform.

After the first data and the corresponding first attribute of each sensor are obtained, the first data and the first attribute of each sensor are uploaded to the Internet of things platform.

Fig. 7 is a schematic diagram of the first data of the sensor after being analyzed according to the embodiment of the present application, as shown in fig. 7:

and after the first data of the sensor are analyzed, the function type and the data name of the obtained first data are obtained.

If the first data of the sensor named modbusRTU _1 is analyzed, the function type of the first data of the sensor is analog quantity, the name of the first data is CO concentration, and the specific numerical value of the first data is 101.0. The data obtained after the analysis is also associated with other information, for example, the read-write type of the first data collected by the sensor is read only, the register area of the sensor is a0 holding register, the data storage address of the sensor is 0101, and the type of the first data collected by the sensor is a Byte8 bit unsigned number.

That is, the first data collected by the sensor represents the value of the CO concentration analog.

Illustratively, the upload fields of the edge gateway are as follows:

"data":[{"index":1,"value":"101.0","name":"0001"}

{"index":2,"value":"232.31","name"."0002"}]

here, the edge gateway uploads two pieces of data. Assuming that the first attribute of the first data of the sensors with

sensor addresses

0001 and 0002 represents the CO concentration in the set object model, the first piece of data indicates that the sensor with sensor address 0001 uploads a CO concentration value of 101.0, and the second piece of data indicates that the sensor with sensor address 0002 uploads a CO concentration value of 232.31.

In an embodiment, after the acquiring first data of at least one sensor, the method further comprises:

Here, after the edge gateway acquires the first data of the at least one sensor, a first query instruction is received, the first query instruction being used to request a query for the first data. And acquiring a first identifier carried by the first query instruction, and returning first data of the corresponding sensor based on the first identifier. Wherein the first identifier characterizes an identifier of a sensor that the first query instruction requests to query. In this case, after receiving the first query instruction, the edge gateway returns the first data of the sensor a based on the identifier a carried in the first query instruction.

In practical application, after the edge gateway obtains the first data of the plurality of sensors, the local tool in the internet of things may query the first data obtained by the edge gateway by sending a first query instruction to the edge gateway. Since each sensor is configured with a unique address and name, the first identification may be the address of the sensor or the name of the sensor.

Fig. 8 is a schematic diagram of a local tool querying first data based on a first query instruction according to an embodiment of the present application, as shown in fig. 8:

the local tool may input a connection address of the edge gateway at the setting interface to issue a first query instruction, for example, input the connection address 192.168.1.100 of the edge gateway to issue the first query instruction, where the first query instruction carries a first identifier, where the first identifier is a name of a sensor, that is, modbusRTU _1, and after receiving the first query instruction, the edge gateway determines that the first query instruction wants to query the first data of the sensor, that is, modbusRTU _1, and therefore returns the first data of the sensor, that is, modbusRTU _ 1.

The corresponding first data are returned based on the first query instruction, so that other equipment in the Internet of things can conveniently check the first data.

In order to implement the method according to the embodiment of the present application, an internet of things system is further provided in the embodiment of the present application, fig. 9 is a schematic view of the internet of things system provided in the embodiment of the present application, and as shown in fig. 9, the system includes at least one sensor, an edge gateway, and an internet of things platform, where:

And a sensor 901, configured to collect first data and send the first data to the edge gateway.

Here, each sensor is responsible for collecting first data and transmitting the collected first data to the edge gateway.

An edge gateway 902, configured to receive first data sent by at least one sensor; analyzing the first data of each sensor in the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; uploading the first data and the first attributes of each sensor to an Internet of things platform; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data.

Here, the edge gateway receives first data sent by at least one sensor, analyzes the first data of each sensor based on a set object model to obtain a first attribute of the first data of each sensor, and uploads the first data and the first attribute of each sensor to the internet of things platform.

And the internet of things platform 903 is used for receiving and presenting the first data and the first attributes of each sensor uploaded by the edge gateway.

Here, the internet of things platform is responsible for receiving and presenting the first data and the first attributes of each sensor uploaded by the edge gateway.

It should be noted that the embodiments of the internet of things system and the data processing method provided by the foregoing embodiments belong to the same concept, and specific implementation processes thereof are described in the embodiments of the methods and will not be described herein again.

In order to implement the method according to the embodiment of the present application, an embodiment of the present application further provides a data processing apparatus, and fig. 10 is a schematic diagram of the data processing apparatus according to the embodiment of the present application, and as shown in fig. 10, the apparatus includes:

an obtaining unit 1001 is configured to obtain first data of at least one sensor.

An analyzing unit 1002, configured to analyze the first data of each sensor of the at least one sensor based on a set object model to obtain a first attribute of the first data of each sensor; the set object model stores the corresponding relation between each sensor address and the first attribute of the corresponding first data.

An uploading unit 1003, configured to upload the first data and the first attribute of each sensor to the internet of things platform.

In an embodiment, the obtaining unit 1001 is further configured to determine an address and a data storage address corresponding to each sensor in the at least one sensor;

In an embodiment, the obtaining unit 1001 is further configured to issue a first instruction; the first instruction is used for requesting to acquire first data;

In one embodiment, the apparatus further comprises: the searching unit is used for determining a sensor address carried by the first data of each sensor;

In one embodiment, the apparatus further comprises: the storage unit is used for configuring the corresponding relation between the address corresponding to each sensor in the at least one sensor and the first attribute of the corresponding first data;

In an embodiment, the analyzing unit 1002 is further configured to determine whether a data format of the acquired first data of each sensor is a set data format, so as to obtain a determination result;

In one embodiment, the apparatus further comprises: the return unit is used for receiving the first query instruction; the first query instruction is used for requesting to query first data;

In actual application, the obtaining Unit 1001, the parsing Unit 1002, the uploading Unit 1003, the searching Unit, the storing Unit, and the returning Unit may be implemented by a Processor in a terminal, such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), a Micro Control Unit (MCU), or a Programmable Gate Array (FPGA).

It should be noted that: in the data processing apparatus provided in the above embodiment, when displaying information, the above-mentioned division of each program module is merely exemplified, and in practical applications, the above-mentioned processing may be distributed to different program modules according to needs, that is, the internal structure of the apparatus may be divided into different program modules to complete all or part of the above-mentioned processing. In addition, the data processing apparatus and the data processing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.

Based on the hardware implementation of the program module, in order to implement the method of the embodiment of the present application, an embodiment of the present application further provides an electronic device. Fig. 11 is a schematic diagram of a hardware component structure of an electronic device according to an embodiment of the present application, and as shown in fig. 11, the electronic device includes:

a communication interface 1101 capable of exchanging information with other devices such as a network device and the like;

the processor 1102 is connected with the communication interface 1101 to implement information interaction with other devices, and is configured to execute the method provided by one or more technical solutions of the terminal side when running a computer program. And the computer program is stored on the memory 1103.

Specifically, the processor 1102 is configured to obtain first data of at least one sensor;

In one embodiment, the processor 1102 is further configured to determine an address and a data storage address corresponding to each of the at least one sensor;

In one embodiment, the processor 1102 is further configured to issue a first instruction; the first instruction is used for requesting to acquire first data;

In an embodiment, when the first data of each sensor of the at least one sensor is analyzed based on the set object model to obtain a first attribute of the first data of each sensor, the processor 1102 is further configured to determine a sensor address carried by the first data of each sensor;

In an embodiment, before the acquiring the first data of the at least one sensor, the processor 1102 is further configured to configure a correspondence between an address corresponding to each sensor of the at least one sensor and a first attribute of the corresponding first data;

In an embodiment, the processor 1102 is further configured to determine whether a data format of the acquired first data of each sensor is a set data format, so as to obtain a determination result;

In an embodiment, after the acquiring the first data of the at least one sensor, the processor 1102 is further configured to receive a first query instruction; the first query instruction is used for requesting to query first data;

Of course, in practice, the various components in the electronic device are coupled together by bus system 1104. It is understood that the bus system 1104 is used to enable communications among the components for connection. The bus system 1104 includes a power bus, a control bus, and a status signal bus in addition to the data bus. For clarity of illustration, however, the various buses are designated as the bus system 1104 in FIG. 11.

The memory 1103 in the embodiments of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program for operating on an electronic device.

It will be appreciated that the memory 1103 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memory 1103 described in embodiments herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The method disclosed in the embodiments of the present application may be implemented in the processor 1102 or implemented by the processor 1102. The processor 1102 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 1102. The processor 1102 described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 1102 may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 1103, and the processor 1102 reads the program in the memory 1103 and performs the steps of the aforementioned methods in conjunction with its hardware.

The processor 1102, when executing the program, implements corresponding processes in the methods of the embodiments of the present application.

In an exemplary embodiment, the present application further provides a storage medium, specifically a computer storage medium, for example, a memory 1103 storing a computer program, where the computer program is executable by the processor 1102 to perform the steps of the foregoing method. The computer readable storage medium may be Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, terminal and method may be implemented in other manners. The above-described device embodiments are only illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.

Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof that contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A data processing method applied to an edge gateway, the method comprising:

acquiring first data of at least one sensor;

2. The data processing method of claim 1, wherein the acquiring first data of at least one sensor comprises:

3. The data processing method of claim 1, wherein the acquiring first data of at least one sensor comprises:

4. The data processing method of claim 1, wherein when the first data of each sensor of the at least one sensor is analyzed based on the set object model to obtain the first attribute of the first data of each sensor, the method comprises:

determining a sensor address carried by the first data of each sensor;

5. The data processing method of claim 1, wherein prior to said acquiring first data of at least one sensor, the method comprises:

6. The data processing method of claim 1, wherein the analyzing the first data for each of the at least one sensor based on the set object model comprises:

7. The data processing method of claim 1, wherein after the acquiring first data of at least one sensor, the method further comprises:

8. A data processing apparatus, characterized in that the apparatus comprises:

an acquisition unit for acquiring first data of at least one sensor;

9. The system of the internet of things is characterized by comprising at least one sensor, an edge gateway and a platform of the internet of things; wherein the content of the first and second substances,

10. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor, wherein,

the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.

11. A storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.