CN111083218A - Internet of things anomaly reporting method, detection method, terminal, platform and storage medium - Google Patents
Internet of things anomaly reporting method, detection method, terminal, platform and storage medium Download PDFInfo
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- 230000011664 signaling Effects 0.000 claims abstract description 167
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- 230000005856 abnormality Effects 0.000 claims description 24
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/36—TPC using constraints in the total amount of available transmission power with a discrete range or set of values, e.g. step size, ramping or offsets
- H04W52/365—Power headroom reporting
Abstract
The invention discloses an Internet of things terminal exception reporting method, a detection method, a terminal, a platform and a storage medium. According to the invention, the limitation of the DPR signaling per se can be overcome by the terminal of the Internet of things, the terminal state data with larger data volume can be uploaded to the platform of the Internet of things, and the power margin and the data volume to be transmitted sent by the terminal of the Internet of things through the BSR signaling and the DPR signaling contain more information, so that the more accurate fault judgment of the platform of the Internet of things is facilitated. The invention is widely applied to the technical field of the Internet of things.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an Internet of things terminal abnormity reporting method, an Internet of things terminal abnormity detection method, an Internet of things terminal, an Internet of things platform and a storage medium.
Background
The internet of things terminal uploads terminal state data such as power allowance and data volume to be transmitted to the internet of things platform regularly usually, so that the internet of things platform can judge whether the internet of things terminal breaks down or not by analyzing the terminal state data, and if the internet of things terminal breaks down, the internet of things terminal can generally judge that a communication channel between the internet of things platform and the internet of things terminal breaks down. Therefore, the terminal state data between the Internet of things terminal and the Internet of things platform can be efficiently transmitted, and the method has positive significance for fault location of the whole system formed by the Internet of things terminal and the Internet of things platform. However, in the current technology of the internet of things, the terminal of the internet of things enters an Idle state after exiting a PSM (Power Save Mode), detects and generates terminal state data such as a Power headroom and a pending transmission data amount, and then triggers the MSG3, and uploads the terminal state data through a DPR signaling. Because the data volume of one DPR signaling is only 1 byte, the terminal of the Internet of things can only convert the terminal state data into rough grade data and upload the rough grade data to the platform of the Internet of things through the DPR signaling, so that the accuracy of the terminal state data received by the Internet of things is insufficient, and the difficulty is caused in analyzing the fault of the terminal of the Internet of things according to the terminal state data by the Internet of things.
Interpretation of terms:
BSR signaling: namely, a Buffer Status Report signaling (Buffer Status Report) can be used by the terminal of the internet of things to request uplink resources from network devices such as eNodeB and the like, and in the request process, the terminal of the internet of things can indicate whether uplink data needs to be sent through the BSR signaling;
DPR signaling: the method comprises the steps that a data volume to be transmitted and a power headroom combined report signaling are obtained, the BSR and PHR functions are simultaneously included, the length of a DPR signaling is one byte, and the DPR signaling is included in MSG3 in a random access process triggered by the generation of data to be transmitted by an internet of things terminal in an Idle state.
Disclosure of Invention
In order to solve at least one technical problem, an object of the present invention is to provide an internet of things terminal abnormality reporting method, an internet of things terminal abnormality detecting method, an internet of things terminal, an internet of things platform, and a storage medium.
In one aspect, an embodiment of the method for reporting the abnormality of the terminal of the internet of things comprises the following steps:
acquiring first terminal state data and second terminal state data; the first terminal state data and the second terminal state data are respectively used for describing the abnormal state of the terminal with different accuracies; the precision of the first terminal state data is higher than that of the second terminal state data;
generating numbering data;
triggering a filling mode for BSR signaling;
filling the first terminal state data and the number data into a filling field of the BSR signaling;
coding a DPR signaling according to the serial number data, and writing the second terminal state data into the DPR instruction;
and sending the BSR signaling and the DPR signaling.
Further, the first terminal state data and the second terminal state data are both used for describing the electric quantity of the terminal.
Further, the step of encoding the DPR signaling according to the number data specifically includes:
writing the number data to reserved bits of the DPR signaling.
On the other hand, the embodiment further comprises an internet of things terminal anomaly detection method, which comprises the following steps:
receiving BSR signaling and DPR signaling;
analyzing first serial number data from BSR signaling;
analyzing second serial number data from the DPR signaling;
and under the condition that the first serial number data is matched with the second serial number data, recombining to obtain terminal state data according to the BSR signaling and the DPR signaling.
Further, the first number data is read from a padding field of the BSR signaling; the second number data is read from reserved bits of the DPR signaling.
Further, the step of obtaining terminal state data through the BSR signaling and the DPR signaling by means of recombination specifically includes:
reading out first terminal state data from a padding field of the BSR signaling;
reading out second terminal state data from the DPR signaling; the first terminal state data and the second terminal state data are respectively used for describing the abnormal state of the terminal with different accuracies; the precision of the first terminal state data is higher than that of the second terminal state data;
and recombining the first terminal state data and the second terminal state data.
In another aspect, an embodiment further includes an internet of things terminal, including a memory for storing at least one program and a processor for loading the at least one program to perform the internet of things terminal exception reporting method.
In another aspect, an embodiment further includes an internet of things platform including a memory for storing at least one program and a processor for loading the at least one program to perform the internet of things terminal exception reporting method.
On the other hand, the embodiment further comprises an internet of things system which is composed of the internet of things terminal and the internet of things platform.
In another aspect, embodiments further include a storage medium having stored therein processor-executable signaling, which when executed by a processor is configured to perform the method for reporting and/or detecting the abnormality of the internet of things terminal.
The invention has the beneficial effects that: in the method for reporting the abnormality of the terminal of the internet of things and the method for detecting the abnormality of the terminal of the internet of things in the embodiment, both the BSR signaling and the DPR signaling sent by the terminal of the internet of things contain the same or corresponding number data, the platform of the internet of things analyzes the terminal state data from the BSR signaling and the DPR signaling which have the corresponding relation by analyzing the number data in the BSR signaling and the DPR signaling, because the data volume that the BSR signaling can hold is larger than the DPR signaling, the application of the method for reporting and detecting the abnormality of the Internet of things terminal can enable the Internet of things terminal to overcome the limitation of the DPR signaling, the terminal state data with larger data volume can be uploaded in each communication with the Internet of things platform, the power margin sent by the Internet of things terminal through the BSR signaling and the DPR signaling and the data volume to be transmitted contain more information, and the Internet of things platform can perform more accurate fault judgment according to the power margin and the data volume to be transmitted.
Drawings
Fig. 1 is a flowchart of an anomaly reporting method for an internet of things terminal in an embodiment;
fig. 2 is a schematic structural diagram of the DPR signaling;
FIG. 3 is a schematic diagram of an anomaly reporting method for a terminal of the Internet of things according to an embodiment;
fig. 4 is a flowchart of the method for detecting abnormality of the internet of things terminal in the embodiment;
fig. 5 is a schematic diagram of the method for detecting abnormality of the internet of things terminal in the embodiment.
Detailed Description
Example 1
In this embodiment, the method for reporting the abnormality of the internet of things terminal is executed by the internet of things terminal. By executing the method for reporting the abnormality of the Internet of things terminal, the Internet of things terminal sends terminal state data such as power allowance and data volume to be transmitted to the Internet of things platform.
The internet of things terminal is also called a User terminal or User Equipment (UE), and for example, a gas meter or an electric energy meter integrated with a remote meter reading function belongs to the internet of things terminal. The internet of things platform is a server generally used as a control center and the like, and can also be a set consisting of the server and a gateway, a gateway platform, a base station and other devices required by communication between the server and the internet of things terminal.
Referring to fig. 1, the method for reporting abnormality of the internet of things terminal executed by the internet of things terminal includes the following steps:
S1A, acquiring first terminal state data and second terminal state data; the first terminal state data and the second terminal state data are respectively used for describing the abnormal state of the terminal with different accuracies; the precision of the first terminal state data is higher than that of the second terminal state data;
S2A, generating serial number data;
S3A, triggering a filling mode of BSR signaling;
S4A, coding a DPR signaling according to the serial number data, and writing the second terminal state data into the DPR instruction;
S5A, filling the first terminal state data and the serial number data into a filling field of the BSR signaling;
S6A, the BSR signaling and the DPR signaling are sent.
Preferably, the terminal of the internet of things performs steps S1A-S6A in the Idle state after ending the PSM mode.
In step S1A, the internet of things terminal obtains first terminal state data and second terminal state data by measuring a power headroom and generating a data volume to be transmitted, where the first terminal state data and the second terminal state data may be stored in a buffer storage space in the internet of things terminal, and the first terminal state data and the second terminal state data should have a format readable by an internet of things platform.
The information contained in the first terminal state data and the second terminal state data is related to an abnormal state of the terminal, for example, the common abnormal state of the terminal of the internet of things is that the electric quantity is too low, so that the first terminal state data and the second terminal state data are both set to describe the electric quantity of the terminal, that is, when the terminal detects that the residual current of the terminal is lower than a certain threshold value, the terminal is judged to enter the abnormal state, the first terminal state data and the second terminal state data are generated to describe the residual electric quantity of the terminal, and the information related to the residual electric quantity of the terminal can be obtained from data such as power surplus and generated data quantity to be transmitted. The difference is that the first terminal state data and the second terminal state data respectively describe the abnormal state of the terminal with different accuracies, for example, the first terminal state data is used for roughly describing the level of the electric quantity, and the second terminal state data is used for finely describing the remaining value of the electric quantity. Since the accuracy of the second terminal state data is higher than that of the first terminal state data, the data amount of the second terminal state data is larger than that of the first terminal state data.
In step S2A, the serial number data generated by the internet of things terminal has 2 bits, which may be 00, 01, 10, 11, and the like.
The fault of the terminal of the internet of things can be represented as abnormal terminal state data, in the existing technical specification of the internet of things, when the terminal of the internet of things detects the abnormal terminal state data, due to the fact that insufficient data are filled into the generated BSR signaling, a filling mode of the BSR signaling is triggered, the principle of the filling mode is similar to the means of 0 supplementing and the like commonly used in data processing, and therefore the length of the BSR signaling is complemented.
In the padding mode of the BSR signaling, a padding field exists in the BSR signaling, and the padding field may be used to accommodate the number data and the terminal state data, that is, when the terminal of the internet of things performs step S5A, the number data and the first terminal state data with higher accuracy are padded in the padding field of the BSR signaling.
In step S6A, the internet of things terminal may directly write the number data itself into the DPR signaling, or may map the number data into shorter data when the number data is too long, and then write the mapped data into the DPR signaling, thereby implementing encoding of the DPR signaling. Preferably, the length of the number data is 2 bits, or the number data is mapped to 2 bits, and the number data is written into the RR reserved bits of the DPR signaling as shown in fig. 2.
Fig. 3 is a schematic diagram of steps S1A-S6A, where the BSR signaling shown by the dashed box in fig. 3 indicates a case of generating and sending multiple BSR signaling, and the dashed arrow indicates that it is possible to select to write a part of the first terminal state data into the multiple BSR signaling.
And the terminal of the Internet of things sends the BSR signaling and the DPR signaling to the platform of the Internet of things. The BSR signaling and the DPR signaling reach the Internet of things platform through network equipment such as an eNodeB base station, a network management platform and an NB gateway.
The BSR signaling and the DPR signaling generated and sent through steps S1A-S6A in this embodiment both contain the same or corresponding numbering data, and the internet of things platform identifies the correspondence between the BSR signaling and the DPR signaling by analyzing the numbering data in the BSR signaling and the DPR signaling, and then analyzes the terminal state data from the BSR signaling and the DPR signaling having the correspondence. Because the data volume that the BSR signaling can hold is larger than that of the DPR signaling, by applying the method in this embodiment, the first terminal state data with higher precision is filled in the BSR signaling, the second terminal state data with lower precision is written in the DPR signaling, and the BSR signaling and the DPR signaling are sent to the Internet of things platform together, so that the limitation of the DPR signaling itself can be overcome by the Internet of things terminal, and the terminal state data with larger data volume can be uploaded by communicating with the Internet of things platform every time. The terminal state data sent by the Internet of things terminal through the BSR signaling and the DPR signaling contains more information, and the Internet of things platform is facilitated to carry out more accurate fault judgment according to the power margin and the data volume to be transmitted.
Preferably, under the condition that the number data is set to be 2 bits, different terminal state data are respectively filled into a plurality of different BSR signaling, and the number data written into RR reserved bits of the DPR signaling is adjusted, so that the DPR signaling can point to different BSR signaling, that is, the terminal state data which can be accommodated by the DPR signaling can be increased to 4 times in the prior art at most, and the communication efficiency between the terminal of the internet of things and the platform of the internet of things is improved.
The method for reporting the abnormality of the terminal of the internet of things in the embodiment can be realized by computer codes written by programming languages such as C language, the computer codes can be stored in the memory, the memory is installed in the terminal of the internet of things, and a processor of the terminal of the internet of things reads the computer codes and executes the method for reporting the abnormality of the terminal of the internet of things in the embodiment, so that the terminal of the internet of things can generate the same technical effect as the method for reporting the abnormality of the terminal of the internet of things in the embodiment.
Example 2
In a case where the terminal of the internet of things executes the method described in embodiment 1 to upload the terminal state data to the platform of the internet of things, referring to fig. 4, the platform of the internet of things executes the following steps S1B to S5B:
S1B, receiving BSR signaling and DPR signaling;
S2B, analyzing first serial number data from BSR signaling;
S3B, analyzing second serial number data from the DPR signaling;
and S4B, under the condition that the first serial number data is matched with the second serial number data, recombining to obtain terminal state data according to the BSR signaling and the DPR signaling.
Fig. 5 is a schematic diagram of steps S1B-S5B, the BSR signaling shown in the dashed box in fig. 5 indicates that multiple BSR signaling is received, and the dashed arrow indicates that the terminal state data can be obtained by selectively reading data from the DPR signaling and some BSR signaling and recombining the data.
The platform of the internet of things receives BSR signaling and DPR signaling sent by the terminal of the internet of things at first. The terminal of the internet of things writes the relevant number data into a padding field of the BSR signaling and RR reserved bits of the DPR signaling. However, due to the existence of multiple terminals of the internet of things or delay, the BSR signaling and the DPR signaling received by the platform of the internet of things at the same time do not necessarily have a corresponding relationship, and therefore the steps S2B and S3B are performed for verification.
In steps S2B and S3B, the number data read from the padding field of the BSR signaling is referred to as first number data, the number data read from the RR reserved bit of the DPR signaling is referred to as second number data, and if the first number data and the second number data are the same or satisfy a specific mapping relationship, it is determined that the first number data matches the second number data. When receiving the BSR signaling and extracting the first number data, the BSR signaling may process the number data according to a set rule to verify whether the number data matches the second number data. The rule may be: and under the condition that the second serial number data and each first serial number data are 2 bits, carrying out exclusive OR operation on the high bits of all the first serial number data, comparing whether the result of the exclusive OR operation is equal to the high bits of the second serial number data, carrying out exclusive OR operation on the low bits of all the first serial number data, comparing whether the result of the exclusive OR operation is equal to the low bits of the second serial number data, and under the condition that the comparison results of the high bits and the low bits are equal, judging that the BSR signaling and the DPR signaling have corresponding relation. Under the condition that the internet of things platform applies the rules to verify numbering data contained in the BSR signaling and the DPR signaling, before the BSR signaling and the DPR signaling are sent, when the numbering data are numbered respectively by a plurality of BSR signaling and the DPR signaling, the internet of things terminal also performs corresponding mapping on the numbering data generated in step S2A by using the corresponding rules, and writes mapping results into the BSR signaling and the DPR signaling respectively.
In a case that the first serial number data is matched with the second serial number data, and the terminal of the internet of things splits the terminal state data into different parts, which are respectively stored in the DPR signaling and the one or more BSR signaling, the platform of the internet of things may perform the following steps to obtain the terminal state data according to the BSR signaling and the DPR signaling by means of recombination:
S401B, reading first terminal state data from the padding field of the BSR signaling;
S402B, reading second terminal state data from the DPR signaling;
S403B, the first terminal state data and the second terminal state data are recombined.
Under the condition of receiving a plurality of BSR instructions, the Internet of things platform can distinguish the sequence of each BSR instruction according to the first serial number data contained in the BSR instructions, so that the combination sequence is determined, and the first terminal state data is obtained through combination. And then combining the first terminal state data and the second terminal state data as a low bit and a high bit respectively to obtain the required terminal state data.
When the terminal of the internet of things executes the method for reporting an abnormality of a terminal of the internet of things described in embodiment 1 to send BSR signaling and DPR signaling, the BSR signaling and the DPR signaling received by the platform of the internet of things through executing the method for detecting an abnormality of a terminal of the internet of things described in this embodiment both contain the same or corresponding number data, the platform of the internet of things recognizes a corresponding relationship between the BSR signaling and the DPR signaling by analyzing the number data in the BSR signaling and the DPR signaling, and then analyzes terminal state data from the BSR signaling and the DPR signaling having the corresponding relationship. Because the data volume that the BSR signaling can hold is larger than the DPR signaling, the method in the embodiment is applied to fill part or all of the terminal state data into the BSR signaling and upload the terminal state data, so that the limitation of the DPR signaling per se can be overcome by the terminal of the internet of things, and the terminal state data with larger data volume can be uploaded by communicating with the platform of the internet of things each time.
The power headroom and the data volume to be transmitted sent by the terminal of the internet of things through the BSR signaling and the DPR signaling contain more information, so that the platform of the internet of things is facilitated to carry out more accurate fault judgment according to the power headroom and the data volume to be transmitted. Under the condition that the internet of things platform receives the power margin and the data volume to be transmitted and performs fault analysis and positioning based on the method, the technical difficulty that in the prior art, the internet of things platform communicates with the internet of things terminal in a ping mode, but the internet of things terminal is in a PSM mode for a long time in application scenes such as remote meter reading and the like, so that the internet of things platform is difficult to establish communication with the internet of things terminal and cannot obtain accurate data to analyze faults is overcome.
The method for detecting the abnormality of the terminal of the internet of things in the embodiment can be realized by computer codes written by programming languages such as C language, the computer codes can be stored in the memory, the memory is installed in the server of the platform of the internet of things, and the processor of the platform of the internet of things reads the computer codes and executes the method for detecting the abnormality of the terminal of the internet of things in the embodiment, so that the platform of the internet of things can produce the same technical effect as the method for detecting the abnormality of the terminal of the internet of things in the embodiment.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided with this embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer signaling stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described by the present embodiments (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable signaling, and may be implemented as code (e.g., executable signaling, one or more computer programs, or one or more applications) executing collectively on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of signaling executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media includes signaling or programming that implements the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (9)
1. An Internet of things terminal abnormity reporting method is characterized by comprising the following steps:
acquiring first terminal state data and second terminal state data; the first terminal state data and the second terminal state data are respectively used for describing the abnormal state of the terminal with different accuracies; the precision of the first terminal state data is higher than that of the second terminal state data;
generating numbering data;
triggering a filling mode for BSR signaling;
filling the first terminal state data and the number data into a filling field of the BSR signaling;
coding a DPR signaling according to the serial number data, and writing the second terminal state data into the DPR instruction;
and sending the BSR signaling and the DPR signaling.
2. The internet of things terminal abnormality reporting method of claim 1, wherein the first terminal state data and the second terminal state data are both used for describing electric quantity of a terminal.
3. The method for reporting the abnormality of the terminal in the internet of things according to claim 1, wherein the step of encoding the DPR signaling according to the number data includes:
writing the number data to reserved bits of the DPR signaling.
4. An Internet of things terminal anomaly detection method is characterized by comprising the following steps:
receiving BSR signaling and DPR signaling;
analyzing first serial number data from BSR signaling;
analyzing second serial number data from the DPR signaling;
and under the condition that the first serial number data is matched with the second serial number data, recombining to obtain terminal state data according to the BSR signaling and the DPR signaling.
5. The method for detecting abnormality of an internet of things terminal according to claim 4, wherein the first numbering data is read from a padding field of the BSR signaling; the second number data is read from reserved bits of the DPR signaling.
6. The method for detecting the abnormality of the internet of things terminal according to claim 4, wherein the step of obtaining the terminal state data through the BSR signaling and the DPR signaling by means of recombination specifically includes:
reading out first terminal state data from a padding field of the BSR signaling;
reading out second terminal state data from the DPR signaling; the first terminal state data and the second terminal state data are respectively used for describing the abnormal state of the terminal with different accuracies; the precision of the first terminal state data is higher than that of the second terminal state data;
and recombining the first terminal state data and the second terminal state data.
7. An internet of things terminal, comprising a memory for storing at least one program and a processor for loading the at least one program to perform the method of any one of claims 1-3.
8. An internet of things platform comprising a memory for storing at least one program and a processor for loading the at least one program to perform the method of any one of claims 4-6.
9. A storage medium having processor-executable signaling stored therein, the processor-executable signaling when executed by a processor being configured to perform the method of any one of claims 1-6.
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| CN201911271171.7A CN111083218A (en) | 2019-12-12 | 2019-12-12 | Internet of things anomaly reporting method, detection method, terminal, platform and storage medium |
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