CN111193562B - Internet of things signal measurement method and equipment - Google Patents
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- 238000005259 measurement Methods 0.000 claims abstract description 48
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- 238000004590 computer program Methods 0.000 claims description 10
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- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
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- H04B17/30—Monitoring; Testing of propagation channels
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Abstract
The utility model provides a method and a device for measuring signals of the Internet of things, relating to the technical field of the Internet of things. The signal measurement method of the internet of things comprises the following steps: the signal measurement equipment sends a terminal parameter query instruction to the terminal of the Internet of things; determining an interactive instruction set of the terminal of the Internet of things according to terminal parameter information fed back by the terminal of the Internet of things; and inquiring the network signal quality intensity information from the terminal of the Internet of things based on the interactive instruction set. By the method, the signal measuring equipment can determine the parameters of the terminal of the Internet of things, further inquire the interactive instruction set adaptive to the terminal, interact with the terminal by using the interactive instruction set adaptive to the terminal, obtain the network signal condition by using the signal state of the terminal, and improve the universality and reliability of signal measurement of the Internet of things.
Description
Technical Field
The disclosure relates to the technical field of internet of things, in particular to a method and equipment for measuring internet of things signals.
Background
NB-IoT (Narrow Band Internet of Things) is a cellular-based Internet of Things technology, is an important branch of the Internet of everything, has the characteristics of low cost, low power consumption, wide coverage and the like, is positioned in the carrier-grade low-rate Internet of Things market based on authorized spectrum, and has a wide application prospect.
In many applications of the internet of things, NB-IoT devices are generally required to be located at positions with good network signal coverage strength, and therefore various NB signal measurement tools are in charge of detecting signal quality of locations before NB devices are deployed.
Disclosure of Invention
The inventor finds that, due to cost and other reasons, the NB terminal is generally simpler in design, does not have the capability of directly completing detection, display and the like of signal quality by the terminal, and needs to complete measurement of the signal quality through a third-party system. The current third-party NB-IOT network signal measurement tool carries out measurement based on a single terminal, so that on one hand, a single-point measurement result is only based on measurement data measured by a certain chip terminal and lacks scientificity; on the other hand, the measuring equipment cannot be universally used for measuring various NB terminals, and the use has limitation.
One object of the present disclosure is to improve the versatility and reliability of internet of things signal measurement.
According to one aspect of the disclosure, an internet of things signal measurement method is provided, which includes: the signal measurement equipment sends a terminal parameter query instruction to the terminal of the Internet of things; determining an interactive instruction set of the terminal of the Internet of things according to terminal parameter information fed back by the terminal of the Internet of things; and inquiring the network signal quality intensity information from the terminal of the Internet of things based on the interactive instruction set.
Optionally, the terminal parameter information includes: one or more of manufacturer information of the terminal, model information of the terminal, terminal application version information, and MEID (Mobile Equipment Identifier) information.
Optionally, the terminal parameter query instruction includes an ATI instruction.
Optionally, the interaction instruction set comprises an AT instruction set.
Optionally, the interactive instruction set comprises input instructions and output instructions.
Optionally, determining the interaction instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things includes: and inquiring the universal adapting device according to the terminal parameter information of the terminal of the Internet of things to obtain an interactive instruction set adapted to the terminal of the Internet of things.
Optionally, the terminal of the internet of things feeds back the network signal quality strength information according to the signal strength and the quality of the received signal.
Optionally, the method for measuring signals of the internet of things further includes: the signal measurement equipment performs data optimization based on a preset strategy by utilizing network signal quality intensity information fed back by different Internet of things terminals within a preset distance range to obtain optimized network signal quality intensity information.
By the method, the signal measuring equipment can determine the parameters of the terminal of the Internet of things, further inquire the interactive instruction set adaptive to the terminal, interact with the terminal by using the interactive instruction set adaptive to the terminal, obtain the network signal condition by using the signal state of the terminal, and improve the universality and reliability of signal measurement of the Internet of things.
According to another aspect of the present disclosure, there is provided a signal measuring apparatus including: the parameter query unit is configured to send a terminal parameter query instruction to the terminal of the Internet of things; the instruction set determining unit is configured to determine an interactive instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things; and the signal query unit is configured to query the internet of things terminal for the network signal quality strength information based on the interactive instruction set.
Optionally, the terminal parameter information includes: the information processing method comprises one or more of terminal manufacturer information, terminal model information, terminal application version information and mobile equipment identification code MEID information.
Optionally, the terminal parameter query instruction includes an ATI instruction.
Optionally, the interaction instruction set comprises an AT instruction set.
Optionally, the interactive instruction set comprises input instructions and output instructions.
Optionally, the instruction set determining unit is configured to query the general adapting device according to the terminal parameter information of the terminal of the internet of things, and obtain an interactive instruction set adapted to the terminal of the internet of things.
Optionally, the signal measurement device further includes a data processing unit configured to perform data optimization based on a predetermined policy by using network signal quality strength information fed back by different terminals of the internet of things within a predetermined distance range, and obtain optimized network signal quality strength information.
According to yet another aspect of the present disclosure, there is provided a signal measuring apparatus including: a memory; and a processor coupled to the memory, the processor configured to perform any of the signal measurement methods above based on instructions stored in the memory.
The signal measuring equipment can determine the parameters of the terminal of the Internet of things, further inquire an interactive instruction set adaptive to the terminal, interact with the terminal by using the interactive instruction set adaptive to the terminal, obtain the network signal condition by using the signal state of the terminal, and improve the universality and the reliability of signal measurement of the Internet of things.
According to yet another aspect of the present disclosure, a computer-readable storage medium is proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the steps of any one of the above signal measurement methods.
By executing the instruction on the computer-readable storage medium, the parameters of the terminal of the internet of things can be determined firstly, then the interactive instruction set adaptive to the terminal is inquired, the interactive instruction set adaptive to the terminal is interacted with the terminal, the network signal condition is obtained by using the signal state of the terminal, and the universality and the reliability of signal measurement of the internet of things are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flowchart of an embodiment of a signal measurement method of the present disclosure.
Fig. 2 is a signaling interaction diagram of an embodiment of a signal measurement method according to the present disclosure.
Fig. 3 is a flowchart of an embodiment of determining a signaling interaction set of a terminal in the signal measurement method of the present disclosure.
Fig. 4 is a schematic diagram of one embodiment of a signal measurement device of the present disclosure.
Fig. 5 is a schematic diagram of another embodiment of a signal measurement device of the present disclosure.
Fig. 6 is a schematic diagram of yet another embodiment of a signal measurement device of the present disclosure.
Detailed Description
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
A flow chart of one embodiment of a signal measurement method of the present disclosure is shown in fig. 1.
In step 101, the signal measurement device sends a terminal parameter query instruction to the terminal of the internet of things. In one embodiment, since the ATI command is a command supported by all terminals specified by 3GPP, the terminal parameter information may be queried using the ATI generic command. The ATI command is an AT command for inquiring terminal information.
In one embodiment, the terminal parameter information may include one or more of manufacturer information of the terminal, model information of the terminal, terminal application version information, and MEID (Mobile Equipment Identifier) information. In one embodiment, the terminal parameter information may be a terminal ID, and the terminal parameter is obtained through ID query and matching.
In step 102, an interactive instruction set of the terminal of the internet of things is determined according to the terminal parameter information fed back by the terminal of the internet of things. In one embodiment, the interactive instruction set may be AT (attention) instructions. The at (attention) instruction set refers to an instruction set transmitted from a TE (Terminal Equipment) or a DTE (Data Terminal Equipment) to a TA (Terminal Adapter) or a DCE (Data Circuit Terminal Equipment). In one embodiment, the interactive instruction set acquired by the signal measurement equipment comprises input instructions and input instructions supported by the terminal.
In step 103, the signal measurement device queries the internet of things terminal for network signal quality strength information based on the interactive instruction set. Because the instruction in the interactive instruction set is the instruction adaptive to the terminal, the terminal of the internet of things can identify the instruction.
By the method, the signal measuring equipment can determine the parameters of the terminal of the Internet of things, further inquire the interactive instruction set adaptive to the terminal, interact with the terminal by using the interactive instruction set adaptive to the terminal, obtain the network signal condition by using the signal state of the terminal, and improve the universality and reliability of signal measurement of the Internet of things.
In one embodiment, the terminal of the internet of things feeds back network signal quality intensity information according to the signal intensity and quality of the received signal of the terminal of the internet of things, so that the quality and intensity detection of the network signal of the internet of things is realized by utilizing the receiving and sending functions of the terminal of the internet of things, and the universality and reliability of signal measurement of the internet of things are improved.
A signaling interaction diagram of one embodiment of the signal measurement method of the present disclosure is shown in fig. 2.
In 201, the signal measurement device 21 sends an instruction for inquiring terminal parameters to the connected internet of things terminal 22. In one embodiment, the signal measuring device 21 may be connected to the internet of things terminal 22 in a wired or wireless manner, such as bluetooth, USB (Universal Serial Bus), and the like.
In 202, the terminal 22 of the internet of things returns its own terminal information to the signal measurement device 21.
In 203, the signal measurement device 21 adapts the AT command supported by the terminal according to the obtained terminal parameter. In one embodiment, a terminal information database may be provided for querying by the signal measurement device, which may include AT instructions associated with various manufacturers, models, system versions, and terminal identification codes.
In 204, the signal measurement device 21 sends a terminal network signal strength instruction to the terminal according to the obtained AT instruction set supported by the internet of things terminal 22, for example, if the terminal is a remote BC95 model through inquiry, sends AT + NUESTATS to the terminal.
In 205, the query instruction sent by the signal measurement device 21 is received, the query instruction is executed, and the result internet of things terminal 22 is returned to the signal measurement device 21.
By the method, the signal measuring equipment has the function of communication adaptation with the terminals of the Internet of things of various manufacturers, models and the like, so that the quality and the strength of the network signals of the Internet of things are detected by utilizing the receiving and transmitting functions of the terminals of the Internet of things, and the universality and the reliability of the signal measurement of the Internet of things are improved. Because the measured value of the terminal of the Internet of things is used for determining the quality intensity of the network signal, the measured result meets the requirement of the terminal of the Internet of things, the measured result is matched with the terminal of the Internet of things needing to be assembled, and the application friendliness of the measured result is improved.
In one embodiment, the signal measurement device may be connected to terminals of different manufacturers, models, application versions and MEIDs within a predetermined distance range, such as the same position, to obtain network signal quality intensity information measured by each internet of things terminal, and perform data optimization operations such as removing abnormal values and averaging on the obtained network signal quality intensity information to obtain optimized network signal quality intensity information, thereby avoiding the problem of deviation in measurement of a single terminal and improving the accuracy of measurement.
A flowchart of one embodiment of determining a signaling interaction set of a terminal in the signal measurement method of the present disclosure is shown in fig. 3.
In step 301, the terminal of the internet of things acquires terminal parameter information fed back by the terminal. The terminal parameter information may include one or more of manufacturer information of the terminal, model information of the terminal, application version information of the terminal, and MEID information.
In step 302, the terminal of the internet of things attempts to perform terminal adaptation by using the manufacturer information of the terminal. If the terminal parameter information includes manufacturer information and can be matched to the manufacturer's interactive instruction set from the database, execute step 306; otherwise step 303 is performed.
In step 303, the terminal of the internet of things attempts to perform terminal adaptation by using the model information of the terminal. If the terminal parameter information includes the terminal model information and the interactive instruction set of the terminal model can be matched from the database, executing step 306; otherwise, step 304 is performed.
In step 304, the terminal of the internet of things attempts to perform terminal adaptation by using the application version information of the terminal. In one embodiment, the application version may be a system version, a software version of the terminal. If the terminal parameter information includes application version information and the interactive instruction set of the application version can be matched from the database, executing step 306; otherwise, step 305 is performed.
In step 305, the terminal of the internet of things attempts to perform terminal adaptation by using the terminal MEID information. If the terminal parameter information includes MEID information and the interaction instruction set of the MEID can be matched from the database, execute step 306; otherwise, go to step 307.
In step 306, the internet of things terminal is inquired about network signal quality strength information based on the interactive instruction set.
In step 307, a failure to adapt is determined. In one embodiment, the non-support information may be fed back so that the maintenance personnel enrich the database according to the read terminal parameter information.
By the method, the terminal adaptation can be performed according to the sequence of the success probability from high to low, and the adaptation efficiency is improved. In one embodiment, if more than one interactive instruction set is determined at a previous stage of adaptation, a next stage of adaptation may be performed to determine a unique interactive instruction set. If a plurality of different interactive instruction sets are determined by matching of manufacturers, a unique interactive instruction set can be further determined according to terminal parameters such as terminal models and versions, and therefore accuracy of terminal adaptation is guaranteed.
A schematic diagram of one embodiment of the signal measurement device of the present disclosure is shown in fig. 4.
The parameter query unit 401 can send a terminal parameter query instruction to the terminal of the internet of things. In one embodiment, since the ATI command is a command supported by all terminals specified by 3GPP, the terminal parameter information may be queried using the ATI general command, or the terminal ID may be queried, and the terminal parameter information may be determined by searching the database using the terminal ID.
The instruction set determining unit 402 can determine an interactive instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things. In one embodiment, the terminal parameter information may include one or more of manufacturer information of the terminal, model information of the terminal, application version information of the terminal, MEID information. In one embodiment, the interactive instruction set may be AT instructions, including input instructions, input instructions supported by the terminal. In an embodiment, the instruction set determining unit 402 may query a general adapting device according to the terminal parameter information of the terminal of the internet of things, and obtain an interactive instruction set adapted to the terminal of the internet of things, where the general adapting device stores AT instructions associated with manufacturers, models, system versions, and terminal identification codes, and corresponding relationships between the AT instructions and one or more of the manufacturers, the models, the system versions, and the terminal identification codes.
The signal query unit 403 can query the internet of things terminal for network signal quality strength information based on the interactive instruction set. Because the instruction in the interactive instruction set is the instruction adaptive to the terminal, the terminal of the internet of things can identify the instruction.
The signal measuring equipment can determine the parameters of the terminal of the Internet of things, further inquire an interactive instruction set adaptive to the terminal, interact with the terminal by using the interactive instruction set adaptive to the terminal, obtain the network signal condition by using the signal state of the terminal, and improve the universality and the reliability of signal measurement of the Internet of things.
In an embodiment, the signal measurement device may further include a data processing unit 404, which is capable of performing processing operations such as removing an abnormal value and determining an average value on the obtained network signal quality intensity information to obtain optimized network signal quality intensity information when the signal measurement device is connected and adapted to terminals of different manufacturers, models, application versions and MEIDs in a predetermined distance range, for example, at the same position, and network signal quality intensity information measured by each terminal of the internet of things is obtained, so as to avoid a problem of deviation in measurement of a single terminal and improve measurement accuracy.
A schematic structural diagram of an embodiment of the disclosed signal measurement device is shown in fig. 5. The signal measuring device comprises a memory 501 and a processor 502. Wherein: the memory 501 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is for storing instructions in the corresponding embodiments of the signal measurement method above. The processor 502 is coupled to the memory 501 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 502 is configured to execute instructions stored in the memory, so that the universality and reliability of the signal measurement of the internet of things can be improved.
In one embodiment, as also shown in fig. 6, the signal measurement device 600 includes a memory 601 and a processor 602. The processor 602 is coupled to the memory 601 by a BUS 603. The force peaking apparatus 600 may also be connected to an external storage 605 via a storage interface 604 for invoking external data, and may also be connected to a network or another computer system (not shown) via a network interface 606. And will not be described in detail herein.
In the embodiment, the data instruction is stored in the memory, and the instruction is processed by the processor, so that the universality and the reliability of the signal measurement of the internet of things can be improved.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the signal measurement method. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
Finally, it should be noted that: the above examples are intended only to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to preferred embodiments, those of ordinary skill in the art will understand that: modifications to the specific embodiments of the disclosure or equivalent substitutions for parts of the technical features may still be made; all such modifications are intended to be included within the scope of the claims of this disclosure without departing from the spirit thereof.
Claims (15)
1. An Internet of things signal measurement method comprises the following steps:
the signal measurement equipment sends a terminal parameter query instruction to the terminal of the Internet of things;
determining an interactive instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things, comprising the following steps: inquiring an interactive instruction set according to the sequence of the manufacturer information of the terminal, the model information of the terminal, the application version information of the terminal and the MEID information of the mobile equipment, and determining the interactive instruction set under the condition that the interactive instruction set is successfully inquired according to any one item;
and inquiring the network signal quality intensity information from the terminal of the Internet of things based on the interactive instruction set.
2. The method of claim 1, wherein the terminal parameter information comprises: the information processing method comprises one or more of terminal manufacturer information, terminal model information, terminal application version information and mobile equipment identification code MEID information.
3. The method according to claim 1, wherein,
the terminal parameter query instruction comprises a terminal information query ATI instruction; and/or the presence of a gas in the gas,
the interaction instruction set includes an AT instruction set.
4. The method of claim 1, wherein the interactive instruction set includes an input instruction and an output instruction.
5. The method of claim 1, wherein determining the interaction instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things comprises:
and inquiring the universal adapting device according to the terminal parameter information of the terminal of the Internet of things to obtain an interactive instruction set adapted to the terminal of the Internet of things.
6. The method of claim 1, wherein the terminal of the internet of things feeds back the network signal quality strength information according to the signal strength and quality of the received signal.
7. The method of any of claims 1-6, further comprising:
the signal measurement equipment performs data optimization based on a preset strategy by utilizing network signal quality intensity information fed back by different Internet of things terminals within a preset distance range to obtain optimized network signal quality intensity information.
8. A signal measurement device comprising:
the parameter query unit is configured to send a terminal parameter query instruction to the terminal of the Internet of things;
the instruction set determining unit is configured to determine an interactive instruction set of the terminal of the internet of things according to the terminal parameter information fed back by the terminal of the internet of things, and comprises the following steps: inquiring an interactive instruction set according to the sequence of the manufacturer information of the terminal, the model information of the terminal, the application version information of the terminal and the MEID information of the mobile equipment, and determining the interactive instruction set under the condition that the interactive instruction set is successfully inquired according to any one item;
and the signal query unit is configured to query the internet of things terminal for the network signal quality strength information based on the interactive instruction set.
9. The apparatus of claim 8, wherein the terminal parameter information comprises: the information processing method comprises one or more of terminal manufacturer information, terminal model information, terminal application version information and mobile equipment identification code MEID information.
10. The apparatus of claim 8, wherein,
the terminal parameter query instruction comprises a terminal information query ATI instruction; and/or the presence of a gas in the gas,
the interaction instruction set includes an AT instruction set.
11. The apparatus of claim 8, wherein the set of interaction instructions includes input instructions and output instructions.
12. The device according to claim 8, wherein the instruction set determining unit is configured to query the universal adapting means according to the terminal parameter information of the terminal of the internet of things, and obtain the interactive instruction set adapted to the terminal of the internet of things.
13. The apparatus of any of claims 8 to 12, further comprising: and the data processing unit is configured to utilize the network signal quality intensity information fed back by different internet of things terminals within a preset distance range to perform data optimization based on a preset strategy to obtain optimized network signal quality intensity information.
14. A signal measurement device comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1 to 7 based on instructions stored in the memory.
15. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 7.
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