A system and method for improving the online detection efficiency of IoT terminals in 5G NB-IoT private networks.

Abstract

The application discloses a system and method for improving the online detection efficiency of 5G NB-IoT private network Internet of Things terminals; the system is composed of an electromagnetic wave shielding room, a shielding room signal monitoring control terminal and a signal attenuator / interferometer, and simultaneously uses an NB-IoT base station, an NB-IoT core network and a cloud detection server of an operator. The electromagnetic wave signal shielding box can provide stable and expected controllable NB-IoT signals by introducing the NB-IoT base station, so that each NB-IoT terminal to be detected receives uniform and consistent NB-IoT signals. The NB-IoT base station is used for the electromagnetic wave shielding box alone, and the capacity is sufficient, so that the NPRACH conflict probability and NPUSCH interference certainty are high. The NB-IoT terminal is activated by an infrared command through monitoring the strength RSSI of the uplink signal, and the waiting time is reduced. The number of NB-IoT terminals for online detection can be significantly increased under the conditions of target RSRP and target SINR, the detection efficiency is improved, and the production cost of enterprises is reduced.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a system and method for improving the online detection efficiency of IoT terminals in 5G NB-IoT private networks. Background Technology

[0002] In its 3GPP Rel-16 protocol, the 3GPP organization integrated NB-IoT technology into 5G systems to meet the commercial needs of 5G. NB-IoT technology boasts advantages such as low power consumption and strong deep coverage, making it ideal for applications in smart IoT terminals like smart water meters, smart gas meters, and smart electricity meters. It is currently the most widely used cellular IoT technology. To reduce repair costs, NB-IoT terminal manufacturers need to test the communication performance of each terminal before it leaves the factory, under target RSRP (Reference Signal Received Power) and target SINR (Signal to Interference plus Noise Ratio) conditions. Traditional testing methods rely on public network signals from operators, testing each NB-IoT terminal separately. However, due to the instability of RSRP and SINR in public network signals, the target RSRP and SINR fluctuate significantly, resulting in poor consistency and reduced production efficiency due to serial testing.

[0003] One method to improve the efficiency of online detection of 5G NB-IoT IoT terminals is to detect multiple NB-IoT terminals in parallel. However, this method has the following problems. The NB-IoT uplink direction has two physical channels: NPRACH (Narrowband Physical Random Access Channel) and NPUSCH (Narrowband Physical Uplink Shared Channel). For the NPRACH channel, to reduce the complexity of the NB-IoT terminal and NB-IoT base station receiver, all NB-IoT terminals use the same NPRACH preamble sequence. Too many NB-IoT terminals being detected simultaneously leads to a high probability of NPRACH collisions, making it difficult for NB-IoT terminals to access the NB-IoT base station. For the NPUSCH channel, there is no frequency resource allocation conflict problem, but too many NB-IoT terminals being detected simultaneously increases interference on the NPUSCH channel, causing the RSRP and SINR reported by the NB-IoT terminals to fail to reflect the actual communication performance of the NB-IoT terminals.

[0004] In summary, both serial detection of a single NB-IoT terminal and parallel detection of too many NB-IoT terminals will lead to a decrease in detection efficiency.

[0005] For example, a planning method for increasing the number of 5G smart IoT terminals to be detected in parallel, disclosed in Chinese patent literature (publication number CN115550988A), overcomes the problem of decreased detection efficiency caused by the mismatch between the number of 5G smart IoT terminals that a 5G network can support and the number of 5G IoT terminals to be detected in each batch. This invention includes: determining the number of uplink PRBs, downlink PRBs, and duration period used to detect a single 5G smart IoT terminal; determining the number of PRBs provided by the 5G network within the period; determining the candidate time slot configuration of the 5G network; determining the special subframe configuration of the 5G network; and obtaining the number and configuration of 5G smart IoT terminals to be detected in parallel online under different wireless signal strengths and signal-to-noise ratios. This can improve detection efficiency and reduce enterprise production costs. However, parallel detection of multiple NB-IoT terminals still suffers from high NPRACH collision probability and strong NPUSCH channel interference, leading to decreased detection efficiency. Summary of the Invention

[0006] This invention primarily addresses the problem of low online detection efficiency for NB-IoT terminals in existing technologies. It provides a system and method to improve the online detection efficiency of IoT terminals in 5G NB-IoT private networks. The system comprises an electromagnetic wave shielding chamber, a shielding chamber signal monitoring and control terminal, and a signal attenuator / interference device, utilizing the operator's NB-IoT base station, NB-IoT core network, and cloud detection server. By introducing an NB-IoT base station, the electromagnetic wave shielding chamber provides a stable, predictable, and controllable NB-IoT signal, ensuring that each NB-IoT terminal under test receives a uniform and consistent NB-IoT signal. The NB-IoT base station is used exclusively for the electromagnetic wave shielding chamber, ensuring sufficient capacity and high deterministic NPRACH collision probability and NPUSCH interference. By monitoring the uplink signal strength RSSI, the NB-IoT terminal is activated using infrared commands, reducing waiting time. Under target RSRP and target SINR conditions, the number of NB-IoT terminals that can be detected online can be significantly increased, improving detection efficiency and reducing enterprise production costs.

[0007] The above-mentioned technical problems of the present invention are mainly solved by the following technical solutions:

[0008] A system for improving the online detection efficiency of IoT terminals in 5G NB-IoT private networks includes:

[0009] The measurement link measures the downlink signal and adjusts the RSRP and SINR in the shielded room based on the measurement results to meet the measurement requirements.

[0010] The infrared activation link measures the uplink signal strength and determines whether to activate the terminal under test based on the uplink signal strength.

[0011] The data transmission link establishes a connection between the terminal under test and the cloud testing server, and reports the detailed parameters and network parameters of the terminal under test.

[0012] The electromagnetic wave signal shielding box, by introducing an NB-IoT base station, can provide a stable, predictable, and controllable NB-IoT signal, ensuring that each NB-IoT terminal under test receives a uniform and consistent NB-IoT signal. The NB-IoT base station, used exclusively by the electromagnetic wave shielding box, has sufficient capacity, resulting in high determinism for NPRACH collision probability and NPUSCH interference. By monitoring the uplink signal strength RSSI, NB-IoT terminals are activated using infrared commands, reducing waiting time. Under target RSRP and target SINR conditions, the number of NB-IoT terminals that can be monitored online can be significantly increased, improving detection efficiency and reducing enterprise production costs.

[0013] Preferably, the measurement operation link includes an NB-IoT signal receiver, a shielded room signal monitoring and control terminal, a signal attenuator / interference device, and the terminal under test connected in sequence. The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna inside the shielded room and feeds the measurement results back to the shielded signal monitoring and control terminal. The signal monitoring and control terminal controls the signal attenuator / interference device according to the measurement results to ensure that the measurement operation inside the shielded room achieves the required RSRP and SINR. By introducing an NB-IoT base station, the electromagnetic wave signal shielding box can provide a stable, predictable, and controllable NB-IoT signal, ensuring that each NB-IoT terminal under test receives a uniform NB-IoT signal.

[0014] Preferably, the infrared activation link includes a signal attenuator / jammer, an NB-IoT base station, an NB-IoT core network, a cloud detection server, a shielded room signal monitoring and control terminal, an infrared signal transmitter, and a terminal under test, connected in sequence. The NB-IoT base station measures the uplink signal strength RSSI and feeds the measurement results back to the shielded room signal monitoring and control terminal via the NB-IoT core network and the cloud detection server. When the timer times out or the RSSI falls below a threshold, the infrared signal transmitter sends an infrared command to activate the designated terminal under test. By monitoring the uplink signal strength RSSI and activating the NB-IoT terminal with an infrared command, the waiting time is reduced.

[0015] Preferably, the data transmission link includes a terminal under test, a signal attenuation / interference device, an NB-IoT base station, an NB-IoT core network, and a cloud detection server connected in sequence; the terminal under test accesses the NB-IoT base station and establishes a connection with the cloud detection server, and the terminal under test reports the detailed parameters and network parameters of the terminal, where the network parameters include RSRP, SINR, cell identifier, and PCI.

[0016] Preferably, the adjustment range of the RSRP of the downlink signal is: -120 dBm to -90 dBm, with a step size of 1 dBm; the adjustment range of the SINR of the downlink signal is: -10 dB to 20 dB, with a step size of 1 dB.

[0017] A method for improving the online detection efficiency of 5G NB-IoT private network Internet of Things terminals, using the above system, includes the following steps:

[0018] S01: The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna in the shielding chamber and feeds the measurement results back to the shielding chamber signal monitoring and control terminal;

[0019] S02: The signal monitoring and control terminal controls the signal attenuation / interference device according to the measurement results to make the RSRP and SINR in the shielding chamber reach the preset values;

[0020] S03: Activate N NB-IoT terminals to be tested to the infrared state and register them with the cloud detection server; set the counter P = 0; set the timer T1 = 0 and start timing; set the timer T2 = 0;

[0021] S04: The NB-IoT base station measures the RSSI of the uplink signal and feeds the measurement results back to the shielding chamber signal monitoring and control terminal through the NB-IoT core network and the cloud detection server in sequence;

[0022] S05: The signal monitoring and control terminal identifies the measurement results. If RSSI < Thresh or T1 > Timer1, the infrared signal transmitter sends an infrared instruction to make M NB-IoT terminals to be tested enter the active state, the timer T2 starts timing, and the counter P = P + M; otherwise, jump to step S04;

[0023] S06: Connect the NB-IoT terminal to be tested to the NB-IoT base station and establish a connection with the cloud detection server. The NB-IoT terminal reports the detailed parameters and network parameters of the terminal; when the NB-IoT terminal finishes the detection or the timer T2 > Timer2, the terminal enters the standby state; continuously detect until all M NB-IoT terminals to be detected have completed reporting or T2 > Timer2, and the system judges whether N - P > 0 holds; where the network parameters include RSRP, SINR, cell identifier, and PCI;

[0024] S07: If NP>0 is true, then timer T1=0 and starts timing, timer T2=0, and jump to step S04; if NP>0 is false, the cloud detection server automatically generates a test report for this batch; successfully detected NB-IoT terminals report their detailed parameters and network parameters; terminals that fail to detect report their failure results.

[0025] S08: Determine whether the NB-IoT terminal to be tested has been detected. If the detection is completed, the detection is finished; otherwise, proceed to step S03.

[0026] Before starting the operation, initial parameters are set, including setting the number of NB-IoT terminals to be detected as N, the number of NB-IoT terminals to be detected in parallel as M, the RSRP and SINR values ​​set inside the shielded room, the threshold values ​​for Timer1 and Timer2, and the RSSI threshold Thresh. On the control terminal, RSRP and SINR are set, and the NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna inside the shielded room. By introducing an electromagnetic wave signal shielding box and a base station, the terminals receive uniform and consistent NB-IoT signals. The NB-IoT base station is used exclusively for the electromagnetic wave shielding box, ensuring sufficient capacity and high deterministic NPRACH collision probability and NPUSCH interference. By monitoring the uplink signal strength RSSI, the NB-IoT terminals are activated using infrared commands, reducing waiting time, increasing the number of terminals detected online, and improving detection efficiency.

[0027] The beneficial effects of this invention are:

[0028] 1. This invention can significantly increase the number of NB-IoT terminals that can be detected online under target RSRP and target SINR conditions, reduce waiting time, improve detection efficiency, and reduce enterprise production costs;

[0029] 2. By introducing an NB-IoT base station, a stable, predictable, and controllable NB-IoT signal can be provided to the electromagnetic wave signal shielding box, so that each NB-IoT terminal to be tested receives a uniform NB-IoT signal;

[0030] 3. NB-IoT base stations are used in separate electromagnetic wave shielding boxes with sufficient capacity, resulting in high deterministic probability of NPRACH collisions and NPUSCH interference. Attached Figure Description

[0031] Figure 1 This is a block diagram illustrating the principle of the new invention device;

[0032] Figure 2This is a diagram of the internal structure of an electromagnetic wave shielding room.

[0033] Figure 3 Workflow diagram;

[0034] In the picture:

[0035] 1. NB-IoT terminal; 2. Side panel; 3. NB-IoT transceiver antenna; 4. Tray; 5. Electromagnetic wave shielding room; 6. NB-IoT signal receiver; 7. Infrared transmitting antenna. Detailed Implementation

[0036] It should be understood that the embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

[0037] The technical solution of the present invention will be further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0038] A system for improving the online detection efficiency of IoT terminals in 5G NB-IoT private networks, such as Figure 2 As shown, the device of this invention consists of an electromagnetic wave shielding room, a shielding room signal monitoring and control terminal, and a signal attenuator / interference device. It also utilizes the operator's NB-IoT base station, NB-IoT core network, and cloud detection server. The specially designed electromagnetic wave shielding room, by introducing the NB-IoT base station, can provide a stable, predictable, and controllable NB-IoT signal, ensuring that each NB-IoT terminal under test receives a uniform and consistent NB-IoT signal.

[0039] Therefore, the device of this invention is designed with 3 links:

[0040] Link ①: Measurement Operating Condition Link. The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna inside the electromagnetic wave shielding room. The measurement results are fed back to the shielded signal monitoring and control terminal. The signal monitoring and control terminal controls the signal attenuator / interference device based on the measurement results to ensure that the measurement operating conditions inside the shielding room meet the required RSRP and SINR. The RSRP adjustment range is -120dBm to -90dBm, with a step size of 1dBm; the SINR adjustment range is -10dB to 20dB, with a step size of 1dB.

[0041] Link ②: Infrared Activation Link. The NB-IoT base station measures the uplink signal strength RSSI (Received Signal Strength Indicator) and feeds the measurement results back to the signal monitoring and control terminal in the shielded room through the NB-IoT core network and cloud detection server. When the RSSI falls below a certain threshold or the timer expires, the infrared signal transmitter sends an infrared command to activate the designated NB-IoT terminal under test.

[0042] Link ③: Data transmission link. The NB-IoT terminal to be tested connects to the NB-IoT base station and establishes a connection with the cloud detection server. The NB-IoT terminal reports its detailed parameters and network parameters, including RSRP, SINR, cell identifier, PCI (Physical Cell Identifier), etc.

[0043] This embodiment provides a method for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network, as shown in the attached figure. Figure 1 and attached Figure 2 As shown in the attached flowchart Figure 3 As shown.

[0044] The initial parameter settings for this embodiment are as follows: the number of NB-IoT smart terminals that can be detected in a batch is N=9. The factory acceptance criteria for NB-IoT terminals are target RSRP=-120dBm and SINR=3dB. Combined with the parameter configuration of the NB-IoT base station, the NPRACH collision probability is no higher than 12%. The number of NB-IoT terminals to be detected in parallel is calculated to be M=3. The RSRP and SINR are set to -116dBm and 4dB in the electromagnetic wave shielding room. The thresholds for timers T1 and T2 are Timer1=10s, Timer2=60s, and the RSSI threshold Thresh=-123dBm. These initial parameters are empirical values ​​obtained after a large number of tests.

[0045] The workflow of this invention embodiment is as follows:

[0046] S01: Initial parameter settings. Set the number of NB-IoT terminals to be tested in a batch to N=9, the number of NB-IoT terminals to be tested in parallel to M=3, the RSRP and SINR settings in the electromagnetic wave shielding room to -116dBm and 4dB respectively, the threshold of timer T1 to Timer1=10s, the threshold of timer T2 to Timer2=60s, and the threshold of RSSI to Thresh=-123dBm.

[0047] S02: On the control terminal, set RSRP=-116dBm and SINR=4dB. The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna in the electromagnetic wave shielding room and feeds back the measurement results to the shielding room signal monitoring / control terminal. The signal monitoring / control terminal controls the signal attenuation jammer according to the measurement results so that the RSRP and SINR in the shielding room reach the set values.

[0048] S03: Activate the N NB-IoT terminals to be tested into infrared mode and register them to the cloud detection server. Counter P=0; Timer T1=0 and start timing; Timer T2=0.

[0049] S04: The NB-IoT base station measures the RSSI of the uplink signal and feeds back the measurement results to the signal monitoring and control terminal in the shielded room through the NB-IoT core network and cloud detection server.

[0050] S05: RSSI = -125dBm, which is less than the threshold Thresh = -123dBm. Proceed to step S06.

[0051] S06: The infrared signal transmitter sends an infrared command to activate M=3 NB-IoT terminals under test. Timer T2 starts counting, and counter P=P+M=0+3=3.

[0052] S07: The NB-IoT terminal under test connects to the NB-IoT base station and establishes a connection with the cloud testing server. The NB-IoT terminal reports its detailed parameters and network parameters, including RSRP, SINR, cell identifier, PCI, etc. After testing is completed, the NB-IoT terminal enters standby mode.

[0053] S8: When all 3 NB-IoT terminals to be tested have completed their reporting, proceed to step S09.

[0054] S09: If NP>0=9-3=6>0, jump to step S10.

[0055] S10: Timer T1=0 and starts timing; Timer T2=0; then jump to step S04; Steps S04 to S10 are repeated twice.

[0056] S11: The cloud testing server automatically generates a test report for this batch. For NB-IoT terminals that pass the test, the report includes the terminal's detailed parameters and network parameters; for terminals that fail the test, the report indicates failure.

[0057] S12: The NB-IoT terminal under test has been tested and the test ends.

Claims

1. A method for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network, characterized in that, Including: S01: The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna in the shielding chamber, and feeds back the measurement results to the shielding chamber signal monitoring and control terminal; S02: The signal monitoring and control terminal controls the signal attenuator / interferer according to the measurement results, so that the RSRP and SINR in the shielding chamber reach the preset values; S03: Activate the N NB-IoT terminals to be tested to the infrared state and register them to the cloud detection server; Let the counter P = 0; the timer T1 = 0 and start timing; The timer T2 = 0; S04: The NB-IoT base station measures the RSSI of the uplink signal, and feeds back the measurement results to the shielding chamber signal monitoring and control terminal through the NB-IoT core network and the cloud detection server in sequence; S05: The signal monitoring and control terminal identifies the measurement results. If RSSI < Thresh or T1 > Timer1, the infrared signal transmitter sends an infrared instruction to make M NB-IoT terminals to be tested enter the active state, the timer T2 starts timing, and the counter P = P + M; Otherwise, jump to step S04; S06: Connect the NB-IoT terminal to be tested to the NB-IoT base station and establish a connection with the cloud detection server. The NB-IoT terminal reports the detailed parameters and network parameters of the terminal; the threshold of the timer T2 is Timer2. When the NB-IoT terminal finishes detection or the timer T2 > Timer2, the terminal enters the standby state; continuously detect until all M NB-IoT terminals to be tested have completed reporting or T2 > Timer2, and the system judges whether N - P > 0 holds; S07: If N - P > 0 holds, the timer T1 = 0 and starts timing, let the timer T2 = 0, and jump to step S04; if N - P > 0 does not hold, the cloud detection server automatically generates the test report for this batch; the NB-IoT terminals that pass the detection report the detailed parameters and network parameters of the terminal; the terminals that fail the detection report the failure results; S08: Judge whether the NB-IoT terminals to be tested have been detected. If the detection is completed, end the detection; otherwise, jump to step S03.

2. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network, applicable to the method described in claim 1, characterized in that, Including: Measurement working condition link, measuring the downlink signal and regulating the RSRP and SINR in the shielding chamber through the measurement results to meet the measurement working condition requirements; Infrared activation link, measuring the uplink signal strength and determining whether to activate the terminals to be tested according to the uplink signal strength; Data transmission link, establishing a connection between the terminals to be tested and the cloud detection server, and reporting the detailed parameters and network parameters of the terminals to be tested.

3. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network according to claim 2, characterized in that, The measurement working condition link includes an NB-IoT signal receiver, a shielding chamber signal monitoring and control terminal, a signal attenuator / interferer, and a terminal to be tested that are connected in sequence.

4. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network according to claim 3, characterized in that, The NB-IoT signal receiver measures the RSRP and SINR of the downlink signal transmitted by the NB-IoT antenna in the shielding chamber, and feeds back the measurement results to the shielding signal monitoring and control terminal. The signal monitoring and control terminal controls the signal attenuator / interferer according to the measurement results, so that the measurement working condition in the shielding chamber reaches the required RSRP and SINR.

5. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network according to claim 2, characterized in that, The infrared activation link includes a signal attenuator / jammer, an NB-IoT base station, an NB-IoT core network, a cloud detection server, a shielded room signal monitoring and control terminal, an infrared signal transmitter, and a terminal under test, connected in sequence. The NB-IoT base station measures the RSSI strength of the uplink signal and feeds the measurement results back to the shielded room signal monitoring and control terminal via the NB-IoT core network and the cloud detection server. When the timer times out or the RSSI is lower than the threshold, the infrared signal transmitter sends an infrared command to activate the designated terminal under test.

6. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network according to claim 2, characterized in that, The data transmission link includes the terminal under test, a signal attenuator / interference device, an NB-IoT base station, an NB-IoT core network, and a cloud detection server connected in sequence. The terminal under test connects to the NB-IoT base station and establishes a connection with the cloud detection server. The terminal under test reports its detailed parameters and network parameters, including RSRP, SINR, cell identifier and PCI.

7. A system for improving the online detection efficiency of IoT terminals in a 5G NB-IoT private network according to claim 3, characterized in that, The RSRP adjustment range of the downlink signal is -120dBm to -90dBm, with a step size of 1dBm; the SINR adjustment range of the downlink signal is -10dB to 20dB, with a step size of 1dB.

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