Testing method and testing apparatus for sensing signal, and storage medium

Abstract

Provided are a testing method and testing apparatus for a sensing signal, and a storage medium. The testing method for a sensing signal is executed by a network device, and comprises: receiving a plurality of first signals to be tested; for each first signal to be tested among the plurality of first signals to be tested, determining whether the waveform of a pilot signal of the first signal to be tested is consistent with the waveform of a first driving signal, the first signal to be tested consisting of the pilot signal and a data signal, and the first driving signal being used to drive a microwave driven frequency conversion (MDFC) sensor to enter a working state and generate a first MDFC sensing signal; and if the waveform of the pilot signal of the first signal to be tested is consistent with the waveform of the first driving signal, determining that the first signal to be tested is the first MDFC sensing signal.

Description

Sensing signal detection method, detection device and storage medium

[0001] This disclosure claims priority to Chinese patent application No. 202410330638.5, filed on March 21, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of communication technology, and in particular to a method and device for detecting a sensing signal and a storage medium. Background Art

[0003] In the IoT, sensors are often used to collect environmental data and provide monitoring and early warnings based on this 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 sensing signals over a preset frequency band. Summary of the Invention

[0004] In a first aspect, the present disclosure provides a method for detecting a sensor signal, performed by a network device. The method comprises: receiving multiple 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 drive signal; the first signal to be detected comprises a pilot signal and a data signal; the first drive signal is used to drive a microwave direct-drive variable frequency fiber (MDFC) sensor into operation and generate a first MDFC sensor signal; and if the waveforms are consistent, determining that the first signal to be detected is a first MDFC sensor signal.

[0005] In combination with the first aspect above, in one implementation, the method further includes: generating a first target number sequence according to a preset algorithm; the first target number sequence includes one of a random number sequence or a pseudo-random number sequence; converting the first target number sequence into a first drive signal; and sending the first drive signal to the MDFC sensor.

[0006] In combination with the above first aspect, in one implementation, the method further includes: receiving a plurality of first signals to be detected within a preset frequency band.

[0007] In combination with the first aspect above, in one implementation, the frequency of the first MDFC sensor signal is a first frequency, and the method further includes: repeatedly performing the first operation N times or less, parsing the second MDFC sensor signal obtained for the Nth time, and obtaining MDFC sensor data; N is a positive integer; the first operation includes: sending a second drive signal to the MDFC sensor; the second drive signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensor signal; according to the first frequency, receiving at least one second signal to be detected; for each second signal to be detected, comparing the waveform of the leading signal of the second signal to be detected with the waveform of the second drive signal to see whether they are consistent; if they are consistent, determining that the second signal to be detected is a second MDFC sensor signal.

[0008] In combination with the above first aspect, in one implementation, the second driving signal is generated based on a second target number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated based on a preset algorithm.

[0009] In a second aspect, the present disclosure provides a method for detecting a sensing signal, performed by an MDFC sensor. The method includes: generating a first MDFC sensing signal in response to a first drive signal; the first drive signal is used to drive the MDFC sensor into an operating state and generate the first MDFC sensing signal; and transmitting the first MDFC sensing signal within a preset frequency band.

[0010] In combination with the above-mentioned second aspect, in one implementation, the method further includes: sequentially receiving a second driving signal from a network device; the second driving signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensing signal; generating a second MDFC sensing signal in response to the second driving signal; and sending the second MDFC sensing signal within a preset frequency band.

[0011] In combination with the above-mentioned second aspect, in one implementation, the method also includes: the first drive signal is generated by the network device based on a first target number sequence; the first target number sequence includes one of a random number sequence or a pseudo-random number sequence; the first target number sequence is a number sequence randomly generated by the network device based on a preset algorithm; the second drive signal is generated by the network device based on a second target number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated by the network device based on a preset algorithm.

[0012] In a third aspect, the present disclosure provides a sensor signal detection device. The sensor signal detection device includes: a communication unit and a processing unit; the communication unit is configured to receive multiple first detection signals; the processing unit is configured to determine, for each first detection signal, whether the waveform of a pilot signal of the first detection signal is consistent with the waveform of a first drive signal; the first detection signal is composed of a pilot signal and a data signal; the first drive signal is configured to drive an MDFC sensor into operation and generate a first MDFC sensor signal; and the processing unit is further configured to determine that the first detection signal is a first MDFC sensor signal if the waveforms are consistent.

[0013] In combination with the third aspect above, in one implementation, the processing unit is further used to generate a first target number sequence according to a preset algorithm; the first target number sequence includes one of a random number sequence or a pseudo-random number sequence; the processing unit is further used to convert the first target number sequence into a first drive signal; and the communication unit is further used to send the first drive signal to the MDFC sensor.

[0014] In combination with the third aspect above, in one implementation, the communication unit is configured to: receive a plurality of first signals to be detected within a preset frequency band.

[0015] In combination with the above-mentioned third aspect, in one implementation, the frequency of the first MDFC sensor signal is a first frequency, and the processing unit is further used to: repeatedly perform the first operation N times or less, analyze the second MDFC sensor signal obtained for the Nth time, and obtain MDFC sensor data; N is a positive integer; the first operation includes: instructing the communication unit to send a second drive signal to the MDFC sensor; the second drive signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensor signal; according to the first frequency, receiving at least one second signal to be detected through the communication unit; for each second signal to be detected, comparing the waveform of the leading signal of the second signal to be detected with the waveform of the second drive signal to see whether they are consistent; if they are consistent, determining that the second signal to be detected is a second MDFC sensor signal.

[0016] In combination with the above third aspect, in one implementation, the second driving signal is generated based on a second target number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated based on a preset algorithm.

[0017] In a fourth aspect, the present disclosure provides a sensor signal detection device. The sensor signal detection device includes: a communication unit and a processing unit; the processing unit is configured to generate a first MDFC sensor signal in response to a first drive signal; the first drive signal is configured to drive the MDFC sensor into an operating state and generate the first MDFC sensor signal; and the communication unit is configured to transmit the first MDFC sensor signal within a preset frequency band.

[0018] In combination with the above-mentioned fourth aspect, in one implementation, the communication unit is further used to sequentially receive a second drive signal from the network device; the second drive signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensing signal; the processing unit is further used to generate a second MDFC sensing signal in response to the second drive signal; and the communication unit is further used to send the second MDFC sensing signal within a preset frequency band.

[0019] In combination with the above-mentioned fourth aspect, in one implementation, the first driving signal is generated by the network device based on a first target number sequence; the first target number sequence includes one of a random number sequence or a pseudo-random number sequence; the first target number sequence is a number 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 number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated by the network device based on a preset algorithm.

[0020] In a fifth aspect, the present disclosure provides a sensor signal detection device. The sensor signal detection device includes a processor and a communication interface. The communication interface and the processor are coupled, and the processor is configured to execute a computer program or instructions to implement the sensor signal detection method described in the first aspect, any implementation of the first aspect, the second aspect, and any implementation of the second aspect.

[0021] In a sixth aspect, the present disclosure provides a computer-readable storage medium, which stores instructions. When the instructions are executed on a terminal, the terminal executes the method for detecting a sensing signal described in the first aspect, any implementation of the first aspect, the second aspect, and any implementation of the second aspect.

[0022] In a seventh aspect, the present disclosure provides a computer program product comprising instructions. When the computer program product is run on a sensor signal detection device, the sensor signal detection device executes the sensor signal detection method described in the first aspect, any implementation of the first aspect, the second aspect, and any implementation of the second aspect.

[0023] In an eighth aspect, the present disclosure provides a chip, comprising a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the method for detecting a sensing signal described in the first aspect, any implementation of the first aspect, the second aspect, and any implementation of the second aspect.

[0024] For example, the chip provided in the present disclosure further includes a memory for storing computer programs or instructions.

[0025] It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged together with the processor of the sensor signal detection device, or may be packaged separately from the processor of the sensor signal detection device, and this disclosure is not limited to this.

[0026] In a ninth aspect, the present disclosure provides a sensor signal detection system. The sensor signal detection system includes: a network device and an MDFC sensor. The network device is configured to perform the sensor signal detection method described in the first aspect and any implementation of the first aspect; and the MDFC sensor is configured to perform the sensor signal detection method described in the second aspect and any implementation of the second aspect.

[0027] The descriptions of the second to ninth aspects of this disclosure can refer to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second to ninth aspects can refer to the analysis of the beneficial effects of the first aspect, which will not be repeated here.

[0028] In this disclosure, 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 with other names. As long as the functions of each device or functional module are similar to those disclosed herein, they are within the scope of the claims of this disclosure and their equivalents.

[0029] These and other aspects of the present disclosure will become more apparent from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] FIG1 is a schematic diagram of transmission of a microwave signal according to some embodiments.

[0031] FIG2 is a schematic diagram of the architecture of a sensor signal detection system according to some embodiments.

[0032] FIG3 is a schematic diagram of the hardware structure of a sensor signal detection device according to some embodiments.

[0033] FIG4 is a flow chart of a method for detecting a sensing signal according to some embodiments.

[0034] FIG5 is a schematic diagram of a timing rule of a driving signal according to some embodiments.

[0035] FIG6 is a schematic diagram of comparing timing patterns according to some embodiments.

[0036] FIG. 7 is a flow chart of another method for detecting a sensing signal according to some embodiments.

[0037] FIG8 is a flowchart of yet another method for detecting a sensing signal according to some embodiments.

[0038] FIG9 is a schematic structural diagram of a sensor signal detection device according to some embodiments.

[0039] FIG10 is a schematic structural diagram of another sensor signal detection device according to some embodiments. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of them. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present disclosure.

[0041] The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there may be three relationships. For example, A and / or B can mean: only A, A and B, and only B.

[0042] The terms “first” and “second” in the specification and drawings of the present disclosure are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0043] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this disclosure are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may also include other steps or elements not listed, or other steps or elements inherent to the process, method, product, or apparatus.

[0044] It should be noted that in the embodiments of the present disclosure, expressions such as "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described in the embodiments of the present disclosure as "exemplarily" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of expressions such as "exemplarily" or "for example" is intended to present the relevant concepts in a detailed manner.

[0045] In the description of the present disclosure, unless otherwise specified, “plurality” means two or more.

[0046] In the Internet of Things (IoT), sensors are often used to collect environmental data and conduct monitoring and early warning based on this data. Based on the transmission method and technology, sensors can be generally divided into wired sensors and wireless sensors.

[0047] Wired sensors are typically connected to the network using a wired connection. Common connection methods include Ethernet, RS-485 communication interfaces, and Universal Serial Bus (USB). Wired sensors offer advantages such as stability, reliability, and strong interference resistance. However, they are limited by wiring and other factors, making them unsuitable for scenarios requiring high flexibility.

[0048] Given the limitations of wired sensors, traditional wireless sensors can utilize wireless communication technologies to transmit sensor data to the network. These technologies offer advantages such as simplified wiring and high flexibility, making them suitable for environments with widespread distribution or where wiring is difficult. Common wireless transmission technologies include wireless network communication technologies (e.g., Wireless Fidelity (Wi-Fi)), Bluetooth, Zigbee, and LoRa.

[0049] However, traditional wireless sensor systems rely on batteries, which have limited battery life and require frequent battery replacement. Large-scale deployments of wireless sensors also result in high maintenance costs and increased operational complexity.

[0050] In response to the limitations of traditional wireless sensors, passive wireless sensors capture energy in the environment, such as light, vibration, or radio waves, through energy harvesters and convert them into the electrical energy required by the sensors to power the passive wireless sensors, thereby eliminating the traditional wireless sensors' dependence on batteries, reducing maintenance costs, and providing long-term stable operation.

[0051] Common passive wireless sensors include radio frequency identification (RFID) sensors and surface acoustic wave (SAW) gas sensors.

[0052] However, existing passive wireless sensing systems still have drawbacks. For example, RFID sensors have limited application scenarios due to their short signal transmission distance. SAW gas sensors use analog signals, which are susceptible to interference. They rely on frequency discrimination, are prone to cross-reading, and have relatively low accuracy.

[0053] Given the limitations of RFID and SAW sensors, network devices provide energy to MDFC sensors by transmitting drive signals, avoiding the inconvenience of using batteries or laying cables. As shown in Figure 1, in a related technical solution, when the MDFC sensor receives a drive microwave from the network device's signal transceiver, it converts the frequency of the microwave signal within the sensor and returns it to the network device's signal transceiver via a preset frequency band for reception. Because the frequency-converted microwave signal returned by the MDFC sensor is frequency-modulated due to influences within the sensor, the returned microwave carries the sensor data. The signal transceiver within the network device analyzes and processes the returned microwave signal to recover the original sensor data.

[0054] However, the preset frequency band used by the MDFC sensor is a public frequency band, meaning that other devices besides the MDFC sensor can also transmit signals to network devices within this preset frequency band. The MDFC sensor signal is subject to interference signals from various other devices within this preset frequency band, including signals from the Global System for Mobile Communications (GSM), narrowband Internet of Things (NB-IoT), wideband code division multiple access (WCDMA), and long-term evolution frequency division duplex (LTE FDD). 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.

[0055] In view of this, the present disclosure provides a method for detecting a sensing signal, wherein the MDFC sensor generates a first MDFC sensing signal in response to a first drive signal, and sends the first MDFC sensing signal to a network device. Accordingly, the network device receives multiple first signals to be detected, each of which is composed of a pilot signal and a data signal. The network device determines, for each of the multiple first signals 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 drive signal; if they are consistent, the first signal to be detected is determined to be a first MDFC sensing signal. The above technical solution solves the problem that the network device cannot accurately parse the MDFC sensing signal due to interference caused by the interference signal to the MDFC sensing signal, and can accurately distinguish between the interference signal and the MDFC sensing signal, greatly improving the accuracy of parsing the MDFC sensing signal.

[0056] The following describes in detail the implementation of the embodiments of the present disclosure in conjunction with the accompanying drawings.

[0057] FIG2 is a schematic diagram of the architecture of a sensor signal detection system according to some embodiments. As shown in FIG2 , the sensor signal detection system includes: a network device 201 and an MDFC sensor 202 .

[0058] There may be one or more MDFC sensors 202, but for ease of understanding, only one is shown in Figure 2. The network device 201 and the MDFC sensor 202 are connected via a wireless communication link.

[0059] In one implementation, the network device 201 is configured to generate a target sequence, generate a driving signal based on the target sequence, and send the driving signal to the MDFC sensor 202. The network device 201 is further configured to receive a plurality of signals to be detected and detect an MDFC sensing signal in each of the plurality of signals to be detected.

[0060] In some embodiments, the network device 201 may send a driving signal and receive an MDFC sensing signal via an internal signal transceiver.

[0061] The network device in the embodiment of the present disclosure is an entity on the network side for sending signals, or receiving signals, or sending and receiving signals. The network device can be a device deployed in a radio access network (RAN) to provide wireless communication functions for terminals, for example, it can be a TRP, a base station (for example, an evolved NodeB (eNB or eNodeB), a next generation NodeB (gNB), a next generation eNB (ng-eNB), etc.), various forms of control nodes (for example, a network controller, a wireless controller (for example, a wireless controller in a cloud radio access network (CRAN) scenario)), a road side unit (RSU), etc. For example, the network device can be various forms of macro base stations, micro base stations (also called small stations), relay stations, access points (AP), etc., or it can be an 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 using different radio access technologies (RATs), the names of devices with base station functions may be different. For example, they may be called eNB or eNodeB in LTE systems, and gNB in ​​5G systems or NR systems. This disclosure does not limit the names of network devices.

[0062] In one implementation, the MDFC sensor 202 is configured to generate an MDFC sensing signal in response to a driving signal, and transmit the MDFC sensing signal within a preset frequency band.

[0063] In some embodiments, the MDFC sensor 202 may be an MDFC sensor, or may be other passive wireless sensors that send signals via a preset frequency band, which is not limited in the present disclosure.

[0064] When implemented by hardware, each module in the sensor signal detection system can be integrated into the hardware structure of the sensor signal detection device as shown in Figure 3. For example, as shown in Figure 3, Figure 3 introduces the basic hardware structure of the sensor signal detection device.

[0065] Figure 3 is a schematic diagram of the hardware structure of a sensor signal detection device according to some embodiments. As shown in Figure 3, the sensor signal detection device includes at least one processor 301, a communication circuit 302, and at least one communication interface 304, and may also include a memory 303. The processor 301, memory 303, and communication interface 304 can be connected via the communication circuit 302.

[0066] The processor 301 can be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present disclosure, such as one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs).

[0067] The communication link 302 may include a pathway for transmitting information between the aforementioned components.

[0068] The communication interface 304 is used to communicate with other devices or communication networks and can use any transceiver type device, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0069] The memory 303 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to include or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0070] In one design, the memory 303 can exist independently of the processor 301, that is, the memory 303 can be a memory external to the processor 301. In this case, the memory 303 can be connected to the processor 301 via the communication line 302 to store execution instructions or application code, and the execution is controlled by the processor 301 to implement the detection method of the sensor signal provided in the embodiment of the present disclosure. In another design, the memory 303 can also be integrated with the processor 301, that is, the memory 303 can be an internal memory of the processor 301, for example, the memory 303 is a high-speed cache that can be used to temporarily store some data and instruction information.

[0071] As one implementation, processor 301 may include one or more CPUs, such as CPU0 and CPU1 in FIG3 . As another implementation, the sensor signal detection apparatus may include multiple processors, such as processor 301 and processor 307 in FIG3 . As yet another implementation, the sensor signal detection apparatus may further include an output device 305 and an input device 306.

[0072] It should be pointed out that the various embodiments of the present disclosure can refer to each other, for example, the same or similar steps, method embodiments, system embodiments and device embodiments can refer to each other without limitation.

[0073] Fig. 4 is a flow chart of a method for detecting a sensor signal according to some embodiments, which method can be applied to the sensor signal detection system shown in Fig. 2. As shown in Fig. 4, the method includes S401-S404.

[0074] S401 : The MDFC sensor generates a first MDFC sensing signal in response to a first driving signal.

[0075] The first driving signal is used to drive the MDFC sensor to enter a working state and generate a first MDFC sensing signal.

[0076] In some embodiments, as shown in FIG5 , the timing rule for the network device to send the driving signal is that the network device sends the driving signal during T1-T2, T3-T4, and T5-T6; and does not send the driving signal during T2-T3 and T4-T5.

[0077] In one example, the first MDFC sensing signal is composed of a pilot signal and a data signal. As shown in FIG6 , the timing regularity of the pilot signal of the first MDFC sensing signal is the same as the timing regularity of the first driving signal.

[0078] In one example, in response to the first driving signal, a waveform of a pilot signal in a first MDFC sensing signal generated by the MDFC sensor is the same as a waveform of the first driving signal.

[0079] S402: The MDFC sensor sends a first MDFC sensing signal within a preset frequency band. Correspondingly, the network device receives a plurality of first signals to be detected.

[0080] In some embodiments, the network device receives a plurality of first signals to be detected within a preset frequency band.

[0081] It should be noted that because the preset frequency band is a public frequency 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 via the preset frequency band, it also receives interference signals. Therefore, the multiple signals to be detected may include both the first MDFC sensor signal and the interference signal.

[0082] S403 : The network device determines, 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.

[0083] 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 sensor information collected by the MDFC sensor.

[0084] It should be noted that the first MDFC sensor signal sent by the MDFC sensor is temporally coherent with the drive signal sent by the network device. Specifically, if the network device sends the drive signal according to a specific timing pattern, the MDFC sensor will return the first MDFC sensor signal according to the same timing pattern. This means that the waveforms of the leading signal in the first MDFC sensor signal and the drive signal are necessarily consistent. However, other interference signals are not necessarily related to the drive signal, nor do their waveforms matter. Therefore, by determining whether the waveform of the leading signal of the signal to be detected is consistent with the waveform of the drive signal, it is possible to determine whether the signal to be detected is the first MDFC sensor signal.

[0085] S404: If they are consistent, the network device determines that the first signal to be detected is a first MDFC sensing signal.

[0086] Furthermore, if they are inconsistent, the network device determines that the first signal to be detected is an interference signal.

[0087] In one example, for each of the plurality of first signals to be detected, a determination is made as to whether a waveform of a pilot signal of the first signal to be detected is consistent with a waveform of the first drive signal. If consistent, the first signal to be detected is determined to be a first MDFC sensing signal. If inconsistent, the network device determines that the first signal to be detected is an interference signal.

[0088] In another example, as shown in FIG6 , for each of the plurality of first signals to be detected, a determination is made as to whether the timing pattern of the pilot signal of the first signal to be detected is consistent with the timing pattern of the first drive 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.

[0089] Furthermore, the first MDFC sensing signal is analyzed to obtain sensing data carried in the first MDFC sensing signal.

[0090] Based on the above technical solution, the present disclosure provides a method for detecting a sensor signal, in which the MDFC sensor generates a first MDFC sensor signal in response to a first drive signal, and sends the first MDFC sensor signal to a network device. Accordingly, the network device receives multiple first signals to be detected, each of which is composed of a pilot signal and a data signal. For each of the multiple first signals 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 drive signal; if they are consistent, the first signal to be detected is determined to be a first MDFC sensor signal. The above technical solution solves the problem that the network device is unable to accurately parse the MDFC sensor signal due to interference caused by interference signals on the MDFC sensor signal. It can accurately distinguish between interference signals and MDFC sensor signals, greatly improving the accuracy of parsing the MDFC sensor signal.

[0091] As an embodiment of the present disclosure, in combination with FIG. 4 , as shown in FIG. 7 , before the above S401 , the process of the network device sending the first driving signal to the MDFC sensor may include S701 - S703 .

[0092] S701. The network device generates a first target number sequence according to a preset algorithm.

[0093] The first target number sequence includes one of a random number sequence or a pseudo-random number sequence.

[0094] In some embodiments, the preset algorithm may be a pseudo-random number algorithm or other algorithm that can generate a random number sequence, which is not limited in this disclosure.

[0095] S702: The network device converts the first target number sequence into a first driving signal.

[0096] In one example, the network device converts the random number sequence or pseudo-random number sequence into a signal transmission timing sequence through a conversion rule or algorithm within the network device. Then, the network device generates a first driving signal based on the signal transmission timing sequence.

[0097] S703: The network device sends a first driving signal to the MDFC sensor. Correspondingly, the MDFC sensor receives the first driving signal from the network device.

[0098] In one example, the network device sends a first driving signal to the MDFC sensor based on a signal transmission timing.

[0099] Based on the above technical solution, the network device generates a first target number sequence according to a preset algorithm. The network device converts the first target number sequence into a first drive signal and transmits the first drive signal to the MDFC sensor. With an extremely low probability, the interference signal and the first drive signal may have the same timing sequence. This technical solution generates the drive signal using the preset algorithm, significantly reducing the probability of the interference signal and the drive signal having the same timing sequence, thereby reducing the false recognition rate.

[0100] As an embodiment of the present disclosure, in combination with FIG4 , as shown in FIG8 , by repeatedly performing the first operation N times or less, the second MDFC sensing signal obtained for the Nth time is parsed to obtain MDFC sensing data, where N is a positive integer.

[0101] In one example, N is 2.

[0102] For example, the first operation includes S801-S805.

[0103] S801: The network device sends a second driving signal to the MDFC sensor. Correspondingly, the MDFC sensor receives the second driving signal from the network device.

[0104] The second driving signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensing signal.

[0105] In some embodiments, the second driving signal is generated based on a second target number sequence; the second target number sequence includes one of a random number sequence and a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated based on a preset algorithm.

[0106] S802 : The MDFC sensor generates a second MDFC sensing signal in response to a second driving signal.

[0107] It is understandable that the embodiment described with reference to S401 will not be repeated here.

[0108] S803: The MDFC sensor sends a second MDFC sensing signal within a preset frequency band. Correspondingly, the network device receives at least one second signal to be detected according to the first frequency.

[0109] The first frequency is the frequency of the first MDFC sensing signal.

[0110] It should be noted that the frequency of the MDFC sensing signal generated by each MDFC sensor is fixed. Therefore, the frequencies of the MDFC sensing signals generated by a single MDFC sensor are all the same. Therefore, the network device can receive other MDFC sensing signals generated by the MDFC sensor that generated the first MDFC sensing signal based on the first frequency.

[0111] S804: The network device compares, for each second signal to be detected, the waveform of the leading signal of the second signal to be detected with the waveform of the second driving signal to determine whether they are consistent.

[0112] It is understandable that the embodiment described with reference to S403 is not described again here.

[0113] S805: If they are consistent, the network device determines that the second signal to be detected is a second MDFC sensing signal.

[0114] Furthermore, if they are inconsistent, the network device determines that the second signal to be detected is an interference signal.

[0115] Based on the above technical solution, the network device sends a second drive signal to the MDFC sensor. In response to the second drive signal, the MDFC sensor 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 based on the first frequency. For each of the at least one second detection signal, the network device compares the waveform of the pilot signal of the second detection signal with the waveform of the second drive signal to determine whether they are consistent. If they are consistent, 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 based on the first frequency of the second 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 significantly reduced, thereby reducing the computing pressure on the network device.

[0116] In the embodiment of the present disclosure, the detection device of the sensor signal can be divided into functional modules or functional units according to the above method example. For example, each functional module or functional unit can be divided according to each function, or two or more functions can be integrated into one processing module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of software functional modules or functional units. The division of modules or units in the embodiment of the present disclosure is schematic and is only a logical functional division. In actual implementation, there may be other division methods.

[0117] As shown in FIG9 , FIG9 is a schematic structural diagram of a sensor signal detection device 90 according to some embodiments. The sensor signal detection device 90 includes: a communication unit 901 and a processing unit 902 .

[0118] The communication unit 901 is used to receive multiple first signals to be detected; the processing unit 902 is used to determine whether the waveform of the pilot signal of each first signal to be detected is consistent with the waveform of the first drive signal; the first signal to be detected is composed of the pilot signal and the data signal; the first drive 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 signal to be detected is the first MDFC sensing signal if they are consistent.

[0119] In one implementation, the processing unit 902 is further configured to generate a first target number sequence according to a preset algorithm; the first target number sequence includes one of a random number sequence and a pseudo-random number sequence; the processing unit 902 is further configured to convert the first target number sequence into a first drive signal; and the communication unit 901 is further configured to send the first drive signal to the MDFC sensor.

[0120] In one implementation, the communication unit 901 is configured to receive a plurality of first signals to be detected within a preset frequency band.

[0121] In one implementation, the frequency of the first MDFC sensor signal is a first frequency, and the processing unit 902 is further used to: repeatedly perform the first operation N times or less, analyze the second MDFC sensor signal obtained for the Nth time, and obtain MDFC sensor data; N is a positive integer; the first operation includes: instructing the communication unit 901 to send a second drive signal to the MDFC sensor; the second drive signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensor signal; according to the first frequency, receiving at least one second signal to be detected through the communication unit 901; for each second signal to be detected in the at least one second signal to be detected, comparing the waveform of the leading signal of the second signal to be detected with the waveform of the second drive signal to see whether they are consistent; if they are consistent, determining that the second signal to be detected is a second MDFC sensor signal.

[0122] In one implementation, the second driving signal is generated based on a second target number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; and the second target number sequence is a number sequence randomly generated based on a preset algorithm.

[0123] In one implementation, the sensor signal detection device 90 may further include a storage unit 903 (shown as a dotted box in FIG9 ), which stores a program or instruction. When the processing unit 902 executes the program or instruction, the sensor signal detection device 90 may execute the sensor signal detection method described in the above method embodiment.

[0124] As shown in FIG. 10 , FIG. 10 is a schematic structural diagram of another sensor signal detection device 100 according to some embodiments. The sensor signal detection device 100 includes: a communication unit 1001 and a processing unit 1002 .

[0125] 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 a working state and generate a first MDFC sensing signal; the communication unit 1001 is used to send the first MDFC sensing signal within a preset frequency band.

[0126] In one implementation, the communication unit 1001 is further configured to sequentially receive a second drive signal from a network device; the second drive signal is configured to drive the MDFC sensor to enter a working state and generate a second MDFC sensing signal; the processing unit 1002 is further configured to generate a second MDFC sensing signal in response to the second drive signal; and the communication unit 1001 is further configured to send the second MDFC sensing signal within a preset frequency band.

[0127] In one implementation, the first driving signal is generated by the network device based on a first target number sequence; the first target number sequence includes one of a random number sequence or a pseudo-random number sequence; the first target number sequence is a number 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 number sequence; the second target number sequence includes one of a random number sequence or a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated by the network device based on a preset algorithm.

[0128] In one implementation, the sensor signal detection device 100 may further include a storage unit 1003 (shown as a dotted box in Figure 10), which stores a program or instruction. When the processing unit 1002 executes the program or instruction, the sensor signal detection device 100 can execute the sensor signal detection method described in the above method embodiment.

[0129] Through the description of the above 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 actual 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 working process of the above-described system, device, and unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0130] An embodiment of the present disclosure provides a computer program product comprising instructions. When the computer program product is run on a computer, the computer is enabled to execute the sensing signal detection method described in the above method embodiment.

[0131] The embodiment of the present disclosure further provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a computer, the computer executes the method for detecting the sensor signal described in the above method embodiment.

[0132] Computer-readable storage media, for example, can be, but are not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or components, or any combination thereof. Examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In the embodiments of the present disclosure, a computer-readable storage medium may 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. The computer-readable storage medium includes a non-transitory computer-readable storage medium.

[0133] Since the sensor signal detection device, computer-readable storage medium, and computer program product in the embodiments of the present disclosure can be applied to the above method, the technical effects that can be obtained can also refer to the above method embodiments, and the embodiments of the present disclosure will not be repeated here.

[0134] In the several embodiments provided in the present disclosure, 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 schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0135] The units described as separate components may or may not be physically separate, and 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 may be selected to achieve the purpose of this embodiment according to actual needs.

[0136] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0137] The above are only specific embodiments of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or replacements within the technical scope disclosed in the present disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A method for detecting a sensor signal, wherein: The method is performed by a network device, and the method includes: receiving a plurality of first signals to be detected; For each of the plurality of first signals to be detected, determining whether a waveform of a pilot signal of each first signal to be detected is consistent with a waveform of a first drive signal; each first signal to be detected is composed of a pilot signal and a data signal; the first drive signal is used to drive the microwave direct-drive variable frequency MDFC sensor to enter an operating state and generate a first MDFC sensing signal; If they are consistent, it is determined that the first signal to be detected is the first MDFC sensing signal.

2. The method according to claim 1, further comprising: Generate a first target sequence according to a preset algorithm; The first target number sequence includes one of a random number sequence or a pseudo-random number sequence; converting the first target number sequence into the first driving signal; The first driving signal is sent to the MDFC sensor.

3. The method according to any one of claims 1 to 2, wherein The receiving of a plurality of first signals to be detected includes: The plurality of first signals to be detected are received within a preset frequency band.

4. The method according to any one of claims 1 to 3, wherein The frequency of the first MDFC sensing signal is a first frequency, and the method further includes: Repeat the following first operation N times, and analyze the second MDFC sensor signal obtained for the Nth time to obtain MDFC sensor 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 to enter a working state and generate a second MDFC sensing signal; receiving at least one second signal to be detected according to the first frequency; For each of the at least one second signal to be detected, comparing a waveform of a pilot signal of the second signal to be detected with a waveform of the second drive signal to determine whether the waveform is consistent; If they are consistent, it is determined that the second signal to be detected is the second MDFC sensing signal.

5. The method according to claim 4, wherein The second driving signal is generated based on a second target number sequence; the second target number sequence includes one of a random number sequence and a pseudo-random number sequence; the second target number sequence is a number sequence randomly generated based on a preset algorithm.

6. A method for detecting a sensor signal, wherein: The method is performed by a microwave direct-driven variable frequency MDFC sensor, and the method includes: generating a first MDFC sensing signal in response to a first driving signal; wherein the first driving signal is used to drive the MDFC sensor to enter a working state and generate the first MDFC sensing signal; The first MDFC sensing signal is sent within a preset frequency band.

7. The method according to claim 6, further comprising: sequentially receiving second driving signals from network devices; The second driving signal is used to drive the MDFC sensor to enter a working state and generate a second MDFC sensing signal; generating a second MDFC sensing signal in response to the second driving signal; The second MDFC sensing signal is sent within a preset frequency band.

8. The method according to claim 7, wherein: The first driving signal is generated by the network device based on a first target number sequence; the first target number sequence includes one of a random number sequence and a pseudo-random number sequence; The first target number sequence is a number 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 number sequence; the second target number sequence includes one of a random number sequence and a pseudo-random number sequence; The second target number sequence is a number sequence randomly generated by the network device based on a preset algorithm.

9. A sensor signal detection device, comprising: a communication unit and a processing unit; The communication unit is configured to receive a plurality of first signals to be detected; The processing unit is configured to determine, for each of the plurality of first signals to be detected, whether a waveform of a pilot signal of the first signal to be detected is consistent with a waveform of a first drive signal; the first signal to be detected is composed of a pilot signal and a data signal; the first drive signal is configured to drive the microwave direct-drive variable frequency MDFC sensor to enter an operating state and generate a first MDFC sensing signal; The processing unit is further configured to determine that the first signal to be detected is the first MDFC sensing signal if they are consistent.

10. A sensor signal detection device, comprising: a communication unit and a processing unit; The processing unit is configured to generate a first microwave direct-driven variable frequency MDFC sensing signal in response to the first driving signal; The first driving signal is used to drive the MDFC sensor to enter a working state and generate the first MDFC sensing signal; The communication unit is configured to send the first MDFC sensing signal within a preset frequency band.

11. A sensor signal detection device, comprising: A processor and a communication interface; the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the method for detecting a sensor signal according to any one of claims 1-5 or claims 6-8.

12. A computer-readable storage medium, wherein: The computer-readable storage medium stores instructions. When a computer executes the instructions, the computer executes the method for detecting a sensing signal according to any one of claims 1 to 5 or claims 6 to 8. 13 . A computer program product, comprising computer instructions, wherein when the computer instructions are executed by a processor, the processor performs the method for detecting a sensor signal according to claim 1 or any one of claims 6 to 8. 14 . A computer program comprising computer instructions, wherein when the computer instructions are executed by a processor, the processor performs the method for detecting a sensor signal according to claim 1 or any one of claims 6 to 8.

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