Method and apparatus for detecting sensing signal, and storage medium
By determining the consistency between the lead signal waveform and the drive signal waveform of the MDFC sensor signal in the Internet of Things, the problem of interference with the MDFC sensor signal is solved, and higher resolution accuracy and reduced false recognition rate are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNITED NETWORK COMM GRP CO LTD
- Filing Date
- 2024-03-21
- Publication Date
- 2026-07-21
AI Technical Summary
In the Internet of Things (IoT), MDFC sensor signals are susceptible to interference from other devices because they use a common frequency band, which can prevent network devices from accurately interpreting MDFC sensor signals.
By determining whether the waveform of the lead signal of the signal to be detected is consistent with the waveform of the driving signal, it is determined whether the signal to be detected is an MDFC sensing signal or an interference signal. The driving signal is generated using random numbers or pseudo-random number sequences, and the accuracy of the analysis is improved by repeating the operation.
It improves the resolution accuracy of MDFC sensor signals, accurately distinguishes interference signals from MDFC sensor signals, and reduces the false recognition rate.
Smart Images
Figure CN118102373B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of communication technology, and in particular to a method, apparatus and storage medium for detecting sensor signals. Background Technology
[0002] In the Internet of Things (IoT), it is typically necessary to collect environmental data through sensors and to monitor and issue warnings based on the collected data. For example, microwave driven frequency conversion (MDFC) sensors can collect environmental data and transmit it back to network devices in the form of MDFC sensor signals via a preset frequency band.
[0003] However, the preset frequency band is a public band, meaning that other devices besides the MDFC sensor can also transmit signals to the network device within this preset frequency band. For MDFC sensor signals, there will be interference signals from various other devices within this preset frequency band. Furthermore, while the network device receives the MDFC sensor signal through this preset frequency band, it will inevitably also receive interference signals, making it impossible to accurately interpret the MDFC sensor signal. Summary of the Invention
[0004] This application provides a method, apparatus, and storage medium for detecting sensor signals, which solves the current problem of inaccurate parsing of MDFC sensor signals. It can accurately distinguish between interference signals and MDFC sensor signals, greatly improving the accuracy of parsing MDFC sensor signals.
[0005] To achieve the above objectives, this application adopts the following technical solution:
[0006] In a first aspect, this application provides a method for detecting a sensor signal, applied to a network device. The method includes: receiving a plurality of first signals to be detected; for each first signal to be detected, determining whether the waveform of a pilot signal of the first signal to be detected is consistent with the waveform of a first driving signal; the first signal to be detected consists of a pilot signal and a data signal; the first driving signal is used to drive a microwave direct drive frequency converter MDFC sensor to enter a working state and generate a first MDFC sensing signal; if they are consistent, the first signal to be detected is determined to be a first MDFC sensing signal.
[0007] In conjunction with the first aspect described above, in one possible implementation, the method further includes: generating a first target sequence according to a preset algorithm; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; converting the first target sequence into a first driving signal; and sending the first driving signal to the MDFC sensor.
[0008] In conjunction with the first aspect mentioned above, in one possible implementation, the method further includes: receiving a plurality of first signals to be detected within a preset frequency band.
[0009] In conjunction with the first aspect described above, in one possible implementation, the frequency of the first MDFC sensing signal is a first frequency. The method further includes: repeatedly performing the first operation N times or less, parsing the second MDFC sensing signal obtained in the Nth operation to obtain MDFC sensing data; N is a positive integer; the first operation includes: sending a second driving signal to the MDFC sensor; the second driving signal is used to drive the MDFC sensor into a working state and generate the second MDFC sensing signal; receiving at least one second detection signal according to the first frequency; for each second detection signal, comparing whether the waveform of the leader signal of the second detection signal is consistent with the waveform of the second driving signal; if they are consistent, then determining that the second detection signal is the second MDFC sensing signal.
[0010] In conjunction with the first aspect above, in one possible implementation, the second driving signal is generated based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated based on a preset algorithm.
[0011] Secondly, this application provides a method for detecting a sensing signal, applied to an MDFC sensor. The method includes: generating a first MDFC sensing signal in response to a first driving signal; the first driving signal is used to drive the MDFC sensor into a working state and generate the first MDFC sensing signal; and transmitting the first MDFC sensing signal within a preset frequency band.
[0012] In conjunction with the second aspect above, in one possible implementation, the method further includes: sequentially receiving a second driving signal from a network device; the second driving signal being used to drive the MDFC sensor into a working state and generate a second MDFC sensing signal; generating the second MDFC sensing signal in response to the second driving signal; and transmitting the second MDFC sensing signal within a preset frequency band.
[0013] In conjunction with the second aspect above, in one possible implementation, the method further includes: a first driving signal generated by a network device based on a first target sequence; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the first target sequence is a sequence randomly generated by the network device based on a preset algorithm; a second driving signal generated by the network device based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated by the network device based on a preset algorithm.
[0014] Thirdly, this application provides a sensor signal detection device, which includes: a communication unit and a processing unit; the communication unit is used to receive a plurality of first signals to be detected; the processing unit is used to determine, for each first signal to be detected, whether the waveform of the pilot signal of the first signal to be detected is consistent with the waveform of the first driving signal; the first signal to be detected consists of a pilot signal and a data signal; the first driving signal is used to drive the MDFC sensor to enter the working state and generate a first MDFC sensing signal; the processing unit is further used to determine that the first signal to be detected is a first MDFC sensing signal if they are consistent.
[0015] In conjunction with the third aspect mentioned above, in one possible implementation, the processing unit is further configured to generate a first target sequence according to a preset algorithm; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the processing unit is further configured to convert the first target sequence into a first driving signal; and the communication unit is further configured to send the first driving signal to the MDFC sensor.
[0016] In conjunction with the third aspect above, in one possible implementation, the communication unit is specifically used to: receive multiple first signals to be detected within a preset frequency band.
[0017] In conjunction with the third aspect above, in one possible implementation, the frequency of the first MDFC sensing signal is a first frequency, and the processing unit is further configured to: repeatedly execute the first operation N times or less, parse the second MDFC sensing signal obtained on the Nth time, and obtain MDFC sensing data; N is a positive integer; the first operation includes: instructing the communication unit to send a second driving signal to the MDFC sensor; the second driving signal is used to drive the MDFC sensor into a working state and generate the second MDFC sensing signal; according to the first frequency, receiving at least one second detection signal through the communication unit; for each second detection signal, comparing whether the waveform of the precursor signal of the second detection signal is consistent with the waveform of the second driving signal; if consistent, determining that the second detection signal is the second MDFC sensing signal.
[0018] In conjunction with the third aspect mentioned above, in one possible implementation, the second driving signal is generated based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated based on a preset algorithm.
[0019] Fourthly, this application provides a sensor signal detection device, which includes: a communication unit and a processing unit; the processing unit is used to generate a first MDFC sensor signal in response to a first driving signal; the first driving signal is used to drive an MDFC sensor to enter a working state and generate the first MDFC sensor signal; the communication unit is used to transmit the first MDFC sensor signal in a preset frequency band.
[0020] In conjunction with the fourth aspect above, in one possible implementation, the communication unit is further configured to sequentially receive a second driving signal from the network device; the second driving signal is used to drive the MDFC sensor into a working state and generate a second MDFC sensing signal; the processing unit is further configured to generate the second MDFC sensing signal in response to the second driving signal; and the communication unit is further configured to transmit the second MDFC sensing signal within a preset frequency band.
[0021] In conjunction with the fourth aspect above, in one possible implementation, the first driving signal is generated by the network device based on a first target sequence; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the first target sequence is a sequence randomly generated by the network device based on a preset algorithm; the second driving signal is generated by the network device based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated by the network device based on a preset algorithm.
[0022] Fifthly, this application provides a sensor signal detection device, the device comprising: a processor and a communication interface; the communication interface and the processor are coupled, the processor being used to run computer programs or instructions to implement the sensor signal detection method as described in the first aspect, any possible implementation of the first aspect, the second aspect, and any possible implementation of the second aspect.
[0023] Sixthly, this application provides a computer-readable storage medium storing instructions that, when executed on a terminal, cause the terminal to perform a method for detecting a sensing signal as described in the first aspect, any possible implementation of the first aspect, the second aspect, and any possible implementation of the second aspect.
[0024] In a seventh aspect, this application provides a computer program product containing instructions that, when run on a sensor signal detection device, causes the sensor signal detection device to perform the sensor signal detection method as described in the first aspect, any possible implementation of the first aspect, the second aspect, and any possible implementation of the second aspect.
[0025] Eighthly, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run computer programs or instructions to implement the sensing signal detection method as described in the first aspect, any possible implementation of the first aspect, the second aspect, and any possible implementation of the second aspect.
[0026] Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions.
[0027] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the device, or it may be packaged separately from the processor of the device; this application does not impose any limitation on this.
[0028] Ninthly, this application provides a sensor signal detection system, comprising: a network device and an MDFC sensor, wherein the network device is used to perform the sensor signal detection method as described in the first aspect and any possible implementation thereof, and the MDFC sensor is used to perform the sensor signal detection method as described in the second aspect and any possible implementation thereof.
[0029] The descriptions of aspects two through nine in this application can be referenced to the detailed description of aspect one; and the beneficial effects of the descriptions of aspects two through nine can be referenced to the analysis of the beneficial effects of aspect one, which will not be repeated here.
[0030] In this application, the names of the aforementioned sensor signal detection devices do not limit the devices or functional modules themselves. In actual implementation, these devices or functional modules may appear under other names. As long as the functions of each device or functional module are similar to those in this application, they fall within the scope of the claims of this application and their equivalents.
[0031] These or other aspects of this application will become more readily apparent in the following description.
[0032] The above solution offers at least the following advantages: Based on the above technical solution, the sensing signal detection method provided in this application involves an MDFC sensor responding to a first driving signal, generating a first MDFC sensing signal, and sending the first MDFC sensing signal to a network device. Correspondingly, the network device receives multiple first detection signals, each consisting of a pilot signal and a data signal. For each first detection signal, the network device determines whether the waveform of the pilot signal matches the waveform of the first driving signal; if they match, the first detection signal is identified as a first MDFC sensing signal. This technical solution solves the problem that network devices cannot accurately analyze MDFC sensing signals due to interference from interference signals, enabling accurate differentiation between interference signals and MDFC sensing signals, and significantly improving the accuracy of MDFC sensing signal analysis. Attached Figure Description
[0033] Figure 1 A schematic diagram illustrating the transmission of a microwave signal according to an embodiment of this application;
[0034] Figure 2A schematic diagram of the architecture of a sensor signal detection system provided in an embodiment of this application;
[0035] Figure 3 A schematic diagram of the hardware structure of a sensor signal detection device provided in an embodiment of this application;
[0036] Figure 4 A flowchart illustrating a method for detecting a sensor signal provided in an embodiment of this application;
[0037] Figure 5 A schematic diagram illustrating the timing pattern of a driving signal provided in an embodiment of this application;
[0038] Figure 6 This application provides a schematic diagram of time-series pattern comparison.
[0039] Figure 7 A flowchart illustrating another method for detecting a sensing signal provided in an embodiment of this application;
[0040] Figure 8 A flowchart illustrating another method for detecting a sensing signal provided in an embodiment of this application;
[0041] Figure 9 A schematic diagram of the structure of a sensor signal detection device provided in an embodiment of this application;
[0042] Figure 10 This is a schematic diagram of another sensing signal detection device provided in an embodiment of this application. Detailed Implementation
[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0044] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.
[0045] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.
[0046] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.
[0047] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0048] In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0049] In the Internet of Things (IoT), sensors are typically used to collect environmental data, and monitoring and early warning systems are then developed based on this data. Based on transmission methods and technologies, sensors can generally be categorized into wired sensors and wireless sensors.
[0050] For wired sensors, wired connections are typically used to connect the sensor to the network. Common connection methods include Ethernet, RS-485 communication interface, and Universal Serial Bus (USB). Wired sensors have the advantages of stability, reliability, and strong anti-interference capability. However, wired sensors are limited by wiring and other factors, making them unsuitable for scenarios requiring high flexibility.
[0051] Given the limitations of wired sensors, traditional wireless sensors can utilize wireless communication technology to transmit sensor data to a network. This offers advantages such as simple wiring and high flexibility, making them suitable for environments with widespread distribution or where wiring is difficult. Common wireless transmission technologies include Wi-Fi, Bluetooth, Zigbee, and LoRa.
[0052] However, traditional wireless sensing systems rely on battery power, which has limitations in battery life and requires frequent battery replacements. For scenarios involving large-scale deployment of wireless sensors, maintenance costs are high and operational complexity increases.
[0053] Addressing the limitations of traditional wireless sensors, passive wireless sensors capture energy from the environment, such as light, vibration, or radio waves, using an energy harvester and convert it into electrical energy to power the sensor. This eliminates the reliance on batteries found in traditional wireless sensors, offering advantages such as reduced maintenance costs and long-term stable operation.
[0054] Common passive wireless sensors include radio frequency identification (RFID) sensors and surface acoustic wave (SAW) gas sensors.
[0055] However, existing passive wireless sensing systems still have inconveniences in application. For example, RFID sensors are limited in application scenarios due to their short signal transmission distance, and SAW gas sensors use analog signals, which are susceptible to interference, rely on frequency for differentiation, are prone to cross-reading, and have relatively low accuracy.
[0056] Given the limitations of RFID and SAW sensors, network devices power MDFC sensors by transmitting drive signals to avoid the inconvenience of using batteries or laying cables. Figure 1 As shown, in the relevant technical solution, when the MDFC sensor receives a driving microwave sent by the signal transceiver of the network device in space, it will convert the frequency of the driving microwave within the MDFC and return the converted microwave signal to the signal transceiver of the network device for reception via a preset frequency band. Because the converted microwave signal returned by the MDFC is affected by the internal sensor of the MDFC, resulting in frequency modulation, the returned converted microwave carries the sensing data of the MDFC sensor. By analyzing and processing the returned converted microwave through the signal transceiver within the network device, the original sensing data can be recovered.
[0057] However, the preset frequency band used by the MDFC sensor is a public band, meaning that other devices besides the MDFC sensor can also transmit signals with network devices within this preset frequency band. For MDFC sensor signals, this preset frequency band is subject to various interference signals from other devices, such as Global System for Mobile Communications (GSM) signals, Narrow Band Internet of Things (NB-IoT) signals, Wideband Code Division Multiple Access (WCDMA) signals, and Long Term Evolution Frequency Division Duplex (LTE FDD) signals. Furthermore, while receiving MDFC sensor signals through this preset frequency band, network devices inevitably also receive interference signals, making it impossible to accurately interpret the MDFC sensor signals.
[0058] In view of this, the sensing signal detection method provided in this application involves an MDFC sensor responding to a first driving signal to generate a first MDFC sensing signal and sending the first MDFC sensing signal to a network device. Correspondingly, the network device receives multiple first detection signals, each consisting of a precursor signal and a data signal. For each first detection signal, the network device determines whether the waveform of the precursor signal matches the waveform of the first driving signal; if they match, the first detection signal is identified as a first MDFC sensing signal. This technical solution solves the problem that network devices cannot accurately analyze MDFC sensing signals due to interference from interference signals, enabling accurate differentiation between interference signals and MDFC sensing signals, and significantly improving the accuracy of MDFC sensing signal analysis.
[0059] The embodiments of this application will now be described in detail with reference to the accompanying drawings.
[0060] Figure 2 This is a schematic diagram of the architecture of a sensor signal detection system provided in an embodiment of this application. Figure 2 As shown, the detection system for the sensor signal includes: network device 201 and MDFC sensor 202.
[0061] The MDFC sensor 202 can be one or more; for ease of understanding... Figure 2 Only one is shown. Network device 201 and MDFC sensor 202 are connected via a wireless communication link.
[0062] In one possible implementation, network device 201 generates a target sequence of data, generates a drive signal based on the target sequence of data, and sends the drive signal to MDFC sensor 202. Network device 101 is also used to receive multiple signals to be detected and detect the MDFC sensor signal among the signals to be detected.
[0063] Optionally, the network device 201 can send drive signals and receive MDFC sensor signals through its internal signal transceiver.
[0064] The network device in this embodiment is a network-side entity used to transmit signals, receive signals, or both. The network device can be a device deployed in a radio access network (RAN) to provide wireless communication functionality for terminal 101. Examples include a TRP, a base station (e.g., an evolved NodeB (eNB or eNodeB), a next-generation node base station (gNB), a next-generation eNB (ng-eNB), etc.), various forms of control nodes (e.g., a network controller, a radio controller (e.g., a radio controller in a cloud radio access network (CRAN) scenario), a roadside unit (RSU), etc.). Specifically, the network device can be various forms of macro base stations, micro base stations (also called small stations), relay stations, access points (APs), etc., or it can be the antenna panel of a base station. The control node can connect to multiple base stations and configure resources for multiple terminal devices covered by the multiple base stations. In systems employing different radio access technologies (RATs), the names of devices with base station functions may differ. For example, in LTE systems, they may be called eNB or eNodeB, while in 5G or NR systems, they may be called gNB. This application does not limit the specific name of the network equipment.
[0065] In one possible implementation, the MDFC sensor 202 is used to generate an MDFC sensing signal in response to a driving signal and transmit the MDFC sensing signal within a preset frequency band.
[0066] Optionally, the MDFC sensor 202 can be an MDFC sensor or other passive wireless sensor that transmits signals through a preset frequency band; this application does not limit this.
[0067] When implemented in hardware, the various modules in the sensor signal detection system can be integrated into, for example... Figure 3 The hardware structure of the sensor signal detection device shown is implemented. Specifically, as... Figure 3 The diagram illustrates the basic hardware structure of a sensor signal detection device.
[0068] Figure 3 This is a schematic diagram of the hardware structure of a sensor signal detection device provided in an embodiment of this application. Figure 3 As shown, the sensor signal detection device includes at least one processor 301, a communication line 302, and at least one communication interface 304, and may also include a memory 303. The processor 301, memory 303, and communication interface 304 are connected via the communication line 302.
[0069] The processor 301 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).
[0070] Communication line 302 may include a path for transmitting information between the aforementioned components.
[0071] Communication interface 304 is used to communicate with other devices or communication networks. It can use any transceiver-like device, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.
[0072] The memory 303 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of including or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.
[0073] In one possible design, the memory 303 can exist independently of the processor 301, meaning the memory 303 can be an external memory of the processor 301. In this case, the memory 303 can be connected to the processor 301 via a communication line 302 to store execution instructions or application code, and its execution is controlled by the processor 301 to implement the sensing signal detection method provided in the following embodiments of this application. In another possible design, the memory 303 can also be integrated with the processor 301, meaning the memory 303 can be an internal memory of the processor 301. For example, the memory 303 can be a cache, used to temporarily store some data and instruction information.
[0074] As one possible implementation, processor 301 may include one or more CPUs, for example Figure 3 CPU0 and CPU1 in the example. As another possible implementation, the sensing signal detection device may include multiple processors, such as... Figure 3 The processors 301 and 307 are included. As another possible implementation, the sensing signal detection device may also include an output device 305 and an input device 306.
[0075] It should be noted that the various embodiments of this application can be referenced or learned from each other. For example, the same or similar steps, method embodiments, system embodiments and device embodiments can be referenced from each other without limitation.
[0076] Figure 4 This application provides a flowchart of a method for detecting sensor signals, which can be applied to, for example... Figure 2 The sensor signal detection system shown. For example... Figure 4As shown, the method includes the following S401-S404.
[0077] S401, the MDFC sensor responds to the first driving signal and generates the first MDFC sensing signal.
[0078] The first driving signal is used to drive the MDFC sensor into the working state and generate the first MDFC sensing signal.
[0079] Optional, such as Figure 5 As shown, the timing pattern of the network device sending drive signals is as follows: the network device sends drive signals during the time intervals T1-T2, T3-T4, and T5-T6; and the network device does not send drive signals during the time intervals T2-T3 and T4-T5.
[0080] In one example, the first MDFC sensing signal consists of a pilot signal and a data signal. For example... Figure 6 As shown, the timing pattern of the leader signal of the first MDFC sensing signal is the same as that of the first driving signal.
[0081] In one example, in response to a first drive signal, the waveform of the pilot signal in the first MDFC sensing signal generated by the MDFC sensor is the same as the waveform of the first drive signal.
[0082] S402, the MDFC sensor transmits a first MDFC sensing signal within a preset frequency band. Correspondingly, the network device receives multiple first detection signals.
[0083] Optionally, the network device receives multiple first signals to be detected within a preset frequency band.
[0084] It should be noted that since the preset frequency band is a public band, devices other than the MDFC sensor can also transmit signals with the network device within this preset frequency band. While the network device receives the first MDFC sensor signal through the preset frequency band, it will also receive interference signals. Therefore, multiple signals to be detected may contain both the first MDFC sensor signal and interference signals.
[0085] S403. For each first signal to be detected, the network device determines whether the waveform of the pilot signal of the first signal to be detected is consistent with the waveform of the first driving signal.
[0086] The first signal to be detected consists of a pilot signal and a data signal. The pilot signal is used to compare with the drive signal to determine the type of the first signal to be detected, while the data signal carries the data information transmitted by the device. For example, if the device is an MDFC sensor, the data signal is the sensing information collected by the MDFC sensor.
[0087] It should be noted that the MDFC sensing signal sent by the MDFC sensor and the drive signal sent by the network device are time-coherent. That is, if the network device sends the drive signal according to a specific timing pattern, the MDFC sensor will return an MDFC sensing signal according to the same timing pattern. Therefore, the waveforms of the leader signal and the drive signal in the MDFC sensing signal are necessarily identical. However, other interference signals are not necessarily related to the drive signal, and their waveforms are unrelated. Therefore, by determining whether the waveform of the leader signal of the signal to be detected is identical to the waveform of the drive signal, it can be determined whether the signal to be detected is an MDFC sensing signal.
[0088] S404. If they match, the network device determines that the first signal to be detected is the first MDFC sensor signal.
[0089] Furthermore, if there is a discrepancy, the network device determines that the first signal to be detected is an interference signal.
[0090] In one example, for each first signal to be detected, it is determined whether the waveform of the leader signal of the first signal to be detected is consistent with the waveform of the first driving signal. If they are consistent, the first signal to be detected is determined to be a first MDFC sensing signal. If they are inconsistent, the network device determines that the first signal to be detected is an interference signal.
[0091] In another example, such as Figure 6 As shown, for each first signal to be detected, it is determined whether the timing pattern of the precursor signal of the first signal to be detected is consistent with the timing pattern of the first driving signal. If they are consistent, the first signal to be detected is determined to be the first MDFC sensing signal. If they are inconsistent, the network device determines that the first signal to be detected is an interference signal.
[0092] Furthermore, the first MDFC sensing signal is analyzed to obtain the sensing data carried in the first MDFC sensing signal.
[0093] Based on the above technical solution, the sensing signal detection method provided in this application involves an MDFC sensor responding to a first driving signal to generate a first MDFC sensing signal and sending the first MDFC sensing signal to a network device. Correspondingly, the network device receives multiple first detection signals, each consisting of a pilot signal and a data signal. For each first detection signal, the network device determines whether the waveform of the pilot signal matches the waveform of the first driving signal; if they match, the first detection signal is identified as a first MDFC sensing signal. This technical solution solves the problem that network devices cannot accurately analyze MDFC sensing signals due to interference from interference signals, enabling accurate differentiation between interference signals and MDFC sensing signals, and significantly improving the accuracy of MDFC sensing signal analysis.
[0094] As one possible embodiment of this application, combined with Figure 4 ,like Figure 7 As shown, prior to S401 above, the process of the network device sending the first drive signal to the MDFC sensor may include the following S701-S703.
[0095] S701. The network device generates the first target sequence according to a preset algorithm.
[0096] The first target sequence includes either a random number sequence or a pseudo-random number sequence.
[0097] Optionally, the preset algorithm can be a pseudo-random number algorithm or other algorithms that can generate random number sequences; this application does not limit this.
[0098] S702, The network device converts the first target sequence into a first drive signal.
[0099] In one example, the network device uses internal conversion rules or algorithms to convert a random number sequence or pseudo-random number sequence into a signal transmission timing sequence. Then, based on the signal transmission timing sequence, the network device generates a first driving signal.
[0100] S703, the network device sends a first drive signal to the MDFC sensor. Correspondingly, the MDFC sensor receives the first drive signal from the network device.
[0101] In one example, the network device sends a first drive signal to the MDFC sensor based on the signal transmission timing.
[0102] Based on the above technical solution, the network device generates a first target sequence according to a preset algorithm. The network device converts the first target sequence into a first driving signal and sends the first driving signal to the MDFC sensor. In extremely low probability, there may be a situation where the interference signal and the first driving signal have the same timing sequence. The above technical solution can generate the driving signal through a preset algorithm, greatly reducing the probability that the interference signal and the driving signal have the same timing sequence, thereby reducing the false recognition rate.
[0103] As one possible embodiment of this application, combined with Figure 4 ,like Figure 8 As shown, by repeating the first operation N times or less, the second MDFC sensing signal obtained in the Nth operation is analyzed to obtain MDFC sensing data. N is a positive integer.
[0104] In one example, N is 2.
[0105] Specifically, the first operation includes the following S801-S805.
[0106] S801, the network device sends a second drive signal to the MDFC sensor. Correspondingly, the MDFC sensor receives the second drive signal from the network device.
[0107] The second driving signal is used to drive the MDFC sensor into the working state and generate the second MDFC sensing signal.
[0108] Optionally, the second driving signal is generated based on the second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated based on a preset algorithm.
[0109] S802, the MDFC sensor responds to the second driving signal and generates a second MDFC sensing signal.
[0110] It is understood that, referring to the embodiments described in S401, this will not be repeated here.
[0111] S803, the MDFC sensor transmits a second MDFC sensing signal within a preset frequency band. Correspondingly, the network device receives at least one second detection signal according to the first frequency.
[0112] Wherein, the first frequency is the frequency of the first MDFC sensing signal.
[0113] It should be noted that the frequency of the MDFC sensor signal generated by each MDFC sensor is fixed. Therefore, all MDFC sensor signals generated by one MDFC sensor have the same frequency. Thus, network devices can receive other MDFC sensor signals generated by the same MDFC sensor that generated the first MDFC sensor signal, based on the first frequency.
[0114] S804. For each second signal to be detected, the network device compares whether the waveform of the leader signal of the second signal to be detected is consistent with the waveform of the second driving signal.
[0115] It is understood that, referring to the embodiments described in S403, this section will not repeat them.
[0116] S805 If they match, the network device determines that the second signal to be detected is the second MDFC sensor signal.
[0117] Furthermore, if there is a discrepancy, the network device determines that the second signal to be detected is an interference signal.
[0118] Based on the above technical solution, the network device sends a second driving signal to the MDFC sensor. The MDFC sensor responds to the second driving signal, generates a second MDFC sensing signal, and transmits the second MDFC sensing signal within a preset frequency band. The network device receives at least one second detection signal according to a first frequency. For each second detection signal, the network device compares the waveform of the leader signal of the second detection signal with the waveform of the second driving signal. If they match, the network device determines that the second detection signal is a second MDFC sensing signal. In the above technical solution, the network device obtains the second detection signal through the first frequency of the first MDFC sensing signal. Compared to receiving all signals within the preset frequency band, the number of interference signals in the second detection signal obtained by the above technical solution is greatly reduced, achieving the effect of reducing the computational burden on the network device.
[0119] This application embodiment can divide the sensor signal detection device into functional modules or functional units according to the above method example. For example, each function can be divided into a separate functional module or functional unit, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.
[0120] like Figure 9 The diagram shown is a schematic diagram of a sensor signal detection device 90 provided in an embodiment of this application. The sensor signal detection device 90 includes a communication unit 901 and a processing unit 902.
[0121] The communication unit 901 is used to receive multiple first detection signals; the processing unit 902 is used to determine, for each first detection signal, whether the waveform of the pilot signal of the first detection signal is consistent with the waveform of the first driving signal; the first detection signal consists of a pilot signal and a data signal; the first driving signal is used to drive the MDFC sensor to enter the working state and generate a first MDFC sensing signal; the processing unit 902 is also used to determine that the first detection signal is the first MDFC sensing signal if they are consistent.
[0122] In one possible implementation, the processing unit 902 is further configured to generate a first target sequence according to a preset algorithm; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the processing unit 902 is further configured to convert the first target sequence into a first driving signal; and the communication unit 901 is further configured to send the first driving signal to the MDFC sensor.
[0123] In one possible implementation, the communication unit 901 is specifically used to receive multiple first signals to be detected within a preset frequency band.
[0124] In one possible implementation, the frequency of the first MDFC sensing signal is a first frequency. The processing unit 902 is further configured to: repeatedly perform the first operation N times or less, parse the second MDFC sensing signal obtained on the Nth time, and obtain MDFC sensing data; N is a positive integer; the first operation includes: instructing the communication unit 901 to send a second driving signal to the MDFC sensor; the second driving signal is used to drive the MDFC sensor into a working state and generate the second MDFC sensing signal; according to the first frequency, receiving at least one second detection signal through the communication unit 901; for each second detection signal, comparing whether the waveform of the precursor signal of the second detection signal is consistent with the waveform of the second driving signal; if they are consistent, then determining that the second detection signal is the second MDFC sensing signal.
[0125] In one possible implementation, the second driving signal is generated based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated based on a preset algorithm.
[0126] In one possible implementation, the sensing signal detection device 90 may further include a storage unit 903. Figure 9 (shown in dashed box) The storage unit 903 stores a program or instruction. When the processing unit 902 executes the program or instruction, the sensing signal detection device 90 can perform the sensing signal detection method described in the above method embodiment.
[0127] like Figure 10 The diagram shown is a structural schematic of another sensing signal detection device 100 provided in an embodiment of this application. The sensing signal detection device 100 includes a communication unit 1001 and a processing unit 1002.
[0128] The processing unit 1002 is used to generate a first MDFC sensing signal in response to a first driving signal; the first driving signal is used to drive the MDFC sensor to enter the working state and generate the first MDFC sensing signal; the communication unit 1001 is used to transmit the first MDFC sensing signal within a preset frequency band.
[0129] In one possible implementation, the communication unit 1001 is further configured to receive a second driving signal from a network device in sequence; the second driving signal is used to drive the MDFC sensor into a working state and generate a second MDFC sensing signal; the processing unit 1002 is further configured to generate the second MDFC sensing signal in response to the second driving signal; and the communication unit 1001 is further configured to transmit the second MDFC sensing signal within a preset frequency band.
[0130] In one possible implementation, the first driving signal is generated by the network device based on a first target sequence; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the first target sequence is a sequence randomly generated by the network device based on a preset algorithm; the second driving signal is generated by the network device based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated by the network device based on a preset algorithm.
[0131] In one possible implementation, the sensing signal detection device 100 may further include a storage unit 1003. Figure 10 (shown in dashed box) The storage unit 1003 stores a program or instruction. When the processing unit 1002 executes the program or instruction, the sensing signal detection device 100 can perform the sensing signal detection method described in the above method embodiment.
[0132] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0133] This application provides a computer program product containing instructions that, when run on a computer, causes the computer to execute the sensing signal detection method in the above method embodiments.
[0134] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the sensing signal detection method in the method flow shown in the above method embodiments.
[0135] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: electrical connections having one or more wires; portable computer disks; hard disks; random access memory (RAM); read-only memory (ROM); erasable programmable read-only memory (EPROM); registers; hard disks; optical fibers; portable compact disc read-only memory (CD-ROM); optical storage devices; magnetic storage devices; or any suitable combination thereof; or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
[0136] Since the sensing signal detection device, computer-readable storage medium, and computer program product in the embodiments of this application can be applied to the above method, the technical effects that can be obtained can also be referred to the above method embodiments. The embodiments of this application will not be repeated here.
[0137] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.
[0138] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0139] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0140] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A method for detecting a sensor signal, characterized in that, Applied to network devices, the method includes: A first target sequence is generated according to a preset algorithm; the first target sequence includes either a random number sequence or a pseudo-random number sequence. The first target sequence is converted into a first drive signal and sent to the microwave direct drive frequency converter MDFC sensor; the first drive signal is used to drive the MDFC sensor into the working state and generate a first MDFC sensing signal; the first MDFC sensing signal consists of a pilot signal and a data signal, wherein the waveform of the pilot signal is consistent with the waveform of the first drive signal. Receive multiple first signals to be detected; for each first signal to be detected, determine whether the waveform of the pilot signal of the first signal to be detected is consistent with the waveform of the first driving signal; the first signal to be detected consists of a pilot signal and a data signal; If they match, then the first signal to be detected is determined to be the first MDFC sensing signal.
2. The method according to claim 1, characterized in that, The receiving of multiple first signals to be detected includes: The plurality of first signals to be detected are received within a preset frequency band.
3. The method according to claim 1, characterized in that, The frequency of the first MDFC sensing signal is a first frequency, and the method further includes: Repeat the first operation N times or less, and analyze the second MDFC sensor signal obtained on the Nth time to obtain MDFC sensor data; N is a positive integer; The first operation includes: A second drive signal is sent to the MDFC sensor; the second drive signal is used to drive the MDFC sensor into a working state and generate a second MDFC sensing signal. Based on the first frequency, at least one second signal to be detected is received; For each second signal to be detected, compare whether the waveform of the leader signal of the second signal to be detected is consistent with the waveform of the second driving signal; If they match, then the second signal to be detected is determined to be the second MDFC sensing signal.
4. The method according to claim 3, characterized in that, The second driving signal is generated based on the second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated based on a preset algorithm.
5. A method for detecting a sensor signal, characterized in that, The method, applied to microwave direct-drive frequency converter MDFC sensors, includes: The system receives a first drive signal from a network device; the first drive signal is generated by the network device based on a first target sequence; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the first target sequence is a sequence randomly generated by the network device based on a preset algorithm. In response to a first driving signal, a first MDFC sensing signal is generated; the first driving signal is used to drive the MDFC sensor into a working state and generate the first MDFC sensing signal; the first MDFC sensing signal consists of a pilot signal and a data signal, wherein the waveform of the pilot signal is consistent with the waveform of the first driving signal; The first MDFC sensing signal is transmitted within a preset frequency band.
6. The method according to claim 5, characterized in that, The method further includes: The system sequentially receives a second drive signal from a network device; the second drive signal is used to drive the MDFC sensor into a working state and generate a second MDFC sensing signal. In response to the second driving signal, a second MDFC sensing signal is generated; The second MDFC sensing signal is transmitted within a preset frequency band.
7. The method according to claim 6, characterized in that, The second driving signal is generated by the network device based on a second target sequence; the second target sequence includes one of a random number sequence or a pseudo-random number sequence; the second target sequence is a sequence randomly generated by the network device based on a preset algorithm.
8. A device for detecting sensor signals, characterized in that, The device includes: a communication unit and a processing unit; The processing unit is configured to generate a first target sequence according to a preset algorithm; the first target sequence includes either a random number sequence or a pseudo-random number sequence. The processing unit is further configured to convert the first target sequence into a first drive signal and send the first drive signal to the microwave direct drive frequency converter MDFC sensor; the first drive signal is used to drive the MDFC sensor into a working state and generate a first MDFC sensing signal; the first MDFC sensing signal consists of a pilot signal and a data signal, wherein the waveform of the pilot signal is consistent with the waveform of the first drive signal; The communication unit is used to receive multiple first signals to be detected; The processing unit is further configured to determine, for each first detection signal, whether the waveform of the pilot signal of the first detection signal is consistent with the waveform of the first driving signal; the first detection signal consists of a pilot signal and a data signal; the processing unit is further configured to determine, if consistent, that the first detection signal is the first MDFC sensing signal.
9. A device for detecting sensor signals, characterized in that, The device includes: a communication unit and a processing unit; The communication unit is configured to receive a first driving signal from a network device; the first driving signal is generated by the network device based on a first target sequence; the first target sequence includes one of a random number sequence or a pseudo-random number sequence; the first target sequence is a sequence randomly generated by the network device based on a preset algorithm. The processing unit is configured to generate a first MDFC sensing signal in response to a first driving signal; the first driving signal is configured to drive the MDFC sensor into a working state and generate the first MDFC sensing signal; the first MDFC sensing signal consists of a pilot signal and a data signal, wherein the waveform of the pilot signal is consistent with the waveform of the first driving signal. The communication unit is also used to transmit the first MDFC sensing signal within a preset frequency band.
10. A device for detecting sensor signals, characterized in that, include: A processor and a communication interface; the communication interface is coupled to the processor, the processor being configured to run computer programs or instructions to implement the method for detecting sensor signals as claimed in any one of claims 1-4 or 5-7.
11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed by a computer, perform a method for detecting a sensing signal as described in any one of claims 1-4 or 5-7.