Antenna structure, Internet of Things system and coverage enhancement method thereof

Abstract

The invention provides an antenna structure, an Internet of Things system and a coverage enhancement method thereof, and relates to the technical field of passive Internet of Things, the Internet of Things system comprises a control platform, a plurality of signal transceiving devices and a plurality of antenna assemblies, the control platform is electrically connected with the plurality of signal transceiving devices, and the plurality of antenna assemblies are electrically connected with the control platform. The signal receiving and transmitting equipment is electrically connected with at least one antenna assembly in the plurality of antenna assemblies, and different signal receiving and transmitting equipment in the plurality of signal receiving and transmitting equipment is connected with different antenna assemblies; the antenna assembly comprises an antenna body, a driving assembly and a control system, the power output end of the driving assembly is connected with the antenna body, and the antenna body and the driving assembly are electrically connected with the control system. And the control system is used for receiving a control signal sent by the signal transceiver and controlling the driving assembly to drive the antenna body to move. According to the invention, the deployment cost of the passive Internet of Things system can be reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of passive Internet of Things, and in particular to an antenna structure, an Internet of Things system, and a coverage enhancement method thereof. Background Art

[0002] Cellular passive IoT technology is an innovative IoT solution that combines the wide coverage of cellular networks with the low power consumption of passive devices. This technology allows IoT devices to communicate and transmit data by harvesting weak energy from the environment (such as light energy, radio frequency energy, etc.) without relying on batteries or external power sources.

[0003] Currently, the use of passive RFID tags and related technologies as the underlying technology for various applications in the passive Internet of Things (IoT) is the main development direction for the future of the passive Internet of Things. However, the antenna structures provided by existing technologies are limited in functionality. Once fixed, they can only transmit signals in a specific direction. Therefore, to ensure sufficient coverage of the target area, a large number of antenna structures are required.

[0004] In other words, the cost of deploying passive IoT systems using existing technologies is relatively high. Summary of the Invention

[0005] The purpose of the present disclosure is to provide an antenna structure, an Internet of Things system and a coverage enhancement method thereof, so as to solve the technical problem of high cost of deploying a passive Internet of Things system using existing technologies.

[0006] In a first aspect, the present invention provides an Internet of Things system, comprising a control platform, multiple signal transceiver devices, and multiple antenna assemblies, wherein the control platform is electrically connected to the multiple signal transceiver devices, the signal transceiver device is electrically connected to at least one of the multiple antenna assemblies, and different signal transceiver devices are connected to different antenna assemblies.

[0007] The antenna assembly includes: an antenna body, a driving assembly and a control system, wherein the power output end of the driving assembly is connected to the antenna body, and the antenna body and the driving assembly are electrically connected to the control system respectively;

[0008] The control system is used to receive the control signal sent by the signal transceiver device, and control the driving component to drive the antenna body to move according to the control signal.

[0009] In a second aspect, the present invention further provides a coverage enhancement method for an Internet of Things system, which is applied to the Internet of Things system described in the first aspect, and the method includes:

[0010] Acquire first information, wherein the first information includes: initial posture information of each antenna component among the multiple antenna components, and the initial posture information includes: a first posture of the corresponding antenna component within a first time period;

[0011] performing an optimal antenna strategy search based on the first information to obtain second information, wherein the second information includes: target posture information of each antenna assembly among the multiple antenna assemblies, the target posture information including: a second posture of the corresponding antenna assembly in a second time period; the first time period being before the second time period;

[0012] Based on the second information, performing an antenna attitude adjustment operation on the Internet of Things system within the second time period;

[0013] Among them, the number of tags corresponding to the second information is greater than the number of tags corresponding to the first information, the number of tags corresponding to the first information is: the sum of multiple first quantity values ​​corresponding to the multiple antenna assemblies, and the first quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding first posture; the number of tags corresponding to the second information is: the sum of multiple second quantity values ​​corresponding to the multiple antenna assemblies, and the second quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding second posture.

[0014] In a third aspect, the present invention further provides an antenna assembly, comprising: an antenna body, a drive assembly, and a control system, wherein a power output end of the drive assembly is connected to the antenna body, and the antenna body and the drive assembly are respectively electrically connected to the control system;

[0015] The control system is used to receive a control signal and, based on the control signal, control the driving component to drive the antenna body to move.

[0016] In a fourth aspect, the present invention provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in the second aspect.

[0017] In a fifth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in the second aspect are implemented.

[0018] In a sixth aspect, the present invention provides a computer program product comprising computer instructions, which, when executed by a processor, implement the steps of the method described in the second aspect.

[0019] In the present invention, based on the setting of a driving component that can drive the antenna body to move, after the antenna assembly is deployed, the antenna body in the antenna assembly can flexibly transmit signals in multiple directions instead of only transmitting signals in a specific direction. This greatly increases the signal coverage range of a single antenna body, reduces the number of antenna components required for deploying a passive Internet of Things system, and thus reduces the overall cost of deploying the passive Internet of Things system. Among them, by utilizing the cooperation of the signal transceiver equipment and the control system, the antenna body can automatically complete the corresponding orientation adjustment based on the set program or the instructions input remotely by the user, so that the posture adjustment of the antenna body is more convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a structural diagram of an Internet of Things system provided by the present invention;

[0021] Figure 2 This is a structural diagram of an antenna assembly provided by the present invention;

[0022] Figure 3 is a structural schematic diagram of an antenna assembly in an example provided by the present invention;

[0023] Figure 4 is a schematic diagram of an antenna assembly in an example provided by the present invention rotating twice continuously around a first axis;

[0024] Figure 5 is a schematic diagram of an antenna assembly in an example provided by the present invention that continuously rotates around a second axis;

[0025] Figure 6 is a structural diagram of a signal transceiver device in an example provided by the present invention;

[0026] Figure 7 is a schematic diagram of a signal transceiver device connected to an antenna assembly provided by the present invention;

[0027] Figure 8 is a structural diagram of an Internet of Things system in an example provided by the present invention;

[0028] Figure 9 This is a flow chart of a coverage enhancement method for an Internet of Things system provided by the present invention;

[0029] Figure 10 This is a structural diagram of an antenna assembly provided by the present invention;

[0030] Figure 11 It is a structural schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort shall fall within the scope of protection of the present invention.

[0032] The embodiment of the present invention provides an Internet of Things system, such as Figure 1 and Figure 2 As shown, the Internet of Things system includes:

[0033] The Internet of Things system includes a control platform 101, multiple signal transceiver devices 102, and multiple antenna assemblies 103. The control platform 101 and the multiple signal transceiver devices 102 are electrically connected respectively. The signal transceiver device 102 is electrically connected to at least one antenna assembly 103 of the multiple antenna assemblies 103. Among the multiple signal transceiver devices 102, different signal transceiver devices 102 are connected to different antenna assemblies 103.

[0034] The antenna assembly 103 includes: an antenna body, a driving assembly and a control system, wherein the power output end of the driving assembly is connected to the antenna body, and the antenna body and the driving assembly are electrically connected to the control system respectively;

[0035] The control system is used to receive the control signal sent by the signal transceiver device, and control the driving component to drive the antenna body to move according to the control signal.

[0036] Figure 1 Where M1 and M2 are both positive integers.

[0037] Among them, the control platform 101 is used to: control multiple signal transceiver devices 102 to coordinate signal transceiver work, analyze the signal transceiver results reported by multiple signal transceiver devices 102, and communicate with external devices or external systems (such as cloud servers, smart terminals, etc.).

[0038] The signal transceiver device 102 is used to send a control signal to the control system of the antenna assembly 103 to which the signal transceiver device 102 is electrically connected according to the instruction issued by the control platform 101 .

[0039] It should be noted that the above instructions can be automatically issued by the control platform 101 based on a preset program, or can be passively issued by the control platform 101 based on external input (such as when a user remotely operates the control platform through a smart terminal).

[0040] The antenna assemblies 103 connected to different signal transceiver devices 102 among the multiple signal transceiver devices 102 are different in that: for any two different signal transceiver devices 102 among the multiple signal transceiver devices 102, each antenna assembly 103 connected to one signal transceiver device 102 is different from the antenna assembly 103 connected to the other signal transceiver device 102. In other words, one antenna assembly 103 is only connected to one signal transceiver device 102 among the multiple signal transceiver devices 102.

[0041] It should be understood that the Internet of Things system described in the present invention can be applied to warehousing scenarios. For example, by attaching radio frequency identification tags to goods placed in the warehouse, and transmitting and receiving radio frequency signals between the radio frequency identification tags and the signal transceiver device 102, when the signal transceiver device 102 successfully identifies an radio frequency identification tag, the position of the corresponding goods in the warehouse can be determined based on the location of the radio frequency identification tag, and it can be determined that the goods corresponding to the signal transceiver device 102 are still currently placed in the warehouse, thereby quickly realizing the identification and detection of the goods placed in the warehouse.

[0042] In some embodiments, the Internet of Things system may further include a switch, and the control platform 101 is electrically connected to the signal transceiver device 102 through the switch, wherein one switch can be connected to at least one signal transceiver device 102, and different signal transceiver devices 102 connected to the same switch can forward data through the switch.

[0043] In the present invention, based on the setting of a driving component that can drive the antenna body to move, after the antenna assembly is deployed, the antenna body in the antenna assembly can flexibly transmit signals in multiple directions instead of only transmitting signals in a specific direction. This greatly increases the signal coverage range of a single antenna body, reduces the number of antenna components required for deploying a passive Internet of Things system, and thus reduces the overall cost of deploying the passive Internet of Things system. Among them, by utilizing the cooperation of the signal transceiver equipment and the control system, the antenna body can automatically complete the corresponding orientation adjustment based on the set program or the instructions input remotely by the user, so that the posture adjustment of the antenna body is more convenient.

[0044] In one embodiment, the drive assembly includes a first drive module and a second drive module, a first power output end of the first drive module is connected to a fixed end of the second drive module, a second power output end of the second drive module is connected to the antenna body, and the first drive module and the second drive module are respectively electrically connected to the control system;

[0045] The first driving module is used to drive the second driving module to rotate around a first axis, and the second driving module is used to drive the antenna body to rotate around a second axis, wherein the first axis and the second axis are arranged at an angle.

[0046] Exemplarily, the first drive module and the second drive module may both be driven by motors. In this case, the first shaft and the second shaft may be understood as output shafts of corresponding motors.

[0047] For example, a possible implementation of the antenna assembly of the present invention is as follows: Figure 3 As shown, Figure 3 The servo system can be understood as a composite structure consisting of a first drive module, a second drive module and a control system. Figure 3 The passive IoT antenna can be understood as the antenna body.

[0048] In this example, if the first axis is set to be parallel to the direction of gravity and the second axis is set to be parallel to the horizontal direction, the process of the antenna assembly rotating around the first axis can be as follows: Figure 4 As shown, Figure 4 The black solid origin shown in the figure is the first axis, and the first axis is perpendicular to the Figure 4 The direction of the screen is extended, driven by the steering system, Figure 5 The antenna body of the antenna assembly rotates 90 degrees around the first axis from facing the left side to facing the bottom side, and then rotates 90 degrees around the first axis to facing the right side. Similarly, the process of rotating the antenna assembly around the second axis can be as follows: Figure 5 shown.

[0049] In this embodiment, the first axis and the second axis arranged at an angle, and the first driving module and the second driving module cooperating with each other are used to support the antenna body to perform more flexible posture adjustment.

[0050] In one embodiment, the signal transceiver device includes: a signal transceiver module, a processor, and a plurality of antenna ports;

[0051] Among them, the signal transceiver module is electrically connected to the first end of the processor, the multiple antenna control ends of the processor correspond one-to-one to the multiple antenna ports, and the signal transceiver device is electrically connected to at least one corresponding antenna component through the antenna port.

[0052] The signal transceiver module is used to perform transceiver processing of radio frequency signals, including baseband signal modulation, radio frequency signal frequency conversion, signal power amplification, noise filtering, radio frequency signal demodulation, etc.

[0053] The antenna port can be understood as a port set by the signal transceiver device for plugging in the aforementioned antenna component. When an antenna component is plugged into one of the multiple antenna ports, the electrical connection between the antenna component and the signal transceiver device is completed.

[0054] It should be noted that an antenna port can only be connected to one antenna component at most. In an application, the antenna port can also be idle. In this case, the antenna port is not connected to an antenna component.

[0055] Furthermore, when the signal transceiver device connects two or more antenna components through the multiple antenna ports, the two or more antenna components do not interfere with each other, that is, among the two or more antenna components, when each antenna component moves under the drive of the corresponding driving component, it will not come into contact or collide with other antenna components.

[0056] The processor is used to control and coordinate various internal modules (ie, signal transceiver module, multiple antenna ports) included in the signal transceiver device to perform signal transceiver work.

[0057] In this embodiment, based on the above-mentioned settings, a more flexible setting of antenna components is supported through the setting of multiple antenna ports, and the number of connected antenna components is used to flexibly adapt to the antenna component setting requirements in different scenarios, thereby enhancing the versatility of the Internet of Things system described in the present invention.

[0058] In one embodiment, the multiple antenna components include a first antenna component and a second antenna component, wherein the first antenna component and the second antenna component are any two different antenna components among the multiple antenna components, and the signal transmission and reception time period of the first antenna component is different from the signal transmission and reception time period of the second antenna component.

[0059] The signal transmission and reception time period is: the time period during which the corresponding antenna component transmits and receives radio frequency signals.

[0060] In this embodiment, based on the above settings, when the Internet of Things system is working, it supports at most one antenna component to transmit and receive radio frequency signals at each moment, so as to avoid signal conflicts that may occur when two or more antenna components transmit and receive radio frequency signals at the same time, thereby ensuring the reliable operation of the Internet of Things system.

[0061] It should be noted that the frequency domain channels for transmitting and receiving radio frequency signals by different antenna components may be the same or different, and the present invention is not limited to this.

[0062] Exemplarily, a time division multiplexing mechanism may be used to manage the signal transmission and reception time periods of each of the multiple antenna assemblies.

[0063] In one example, the signal transceiver device may be as follows: Figure 6 (i.e. Figure 6 The passive IoT signal transceiver device shown in the figure includes a duplex module, a power amplifier, a self-interference pair elimination module, a modulator, a low-noise amplifier, a digital-to-analog signal converter, a digital elevation model module, a filter, a modem, an analog-to-digital signal converter, a central processing unit (CPU), a universal serial bus (USB) interface, a network port, a serial port, an external interface controller, a general input and output module, six external antenna ports, a load, a radio frequency (RF) switch, a power supply system, and a clock system.

[0064] In this example, one end of the duplex module is electrically connected to the self-interference pair elimination module, the low noise amplifier, the digital elevation model module, the filter, the analog-to-digital signal converter, and the first end of the modem in sequence; the other end of the duplex module is electrically connected to the power amplifier, the modulator, the digital-to-analog signal converter, and the second end of the aforementioned modem in sequence; the third end of the modem is electrically connected to the first end of the CPU; the second end of the CPU is electrically connected to the control end of the external interface controller; the external interface controller is electrically connected to the load, the RF switch, the USB interface, the network port, the serial port, the general input and output module, and antenna ports 1-6, respectively; the clock module is electrically connected to the duplex module; and the power supply system is used to power each module or component of the signal transceiver device, and to control the output power of the six antenna ports by controlling the power supply.

[0065] The CPU is used to control and coordinate the various modules in the signal transceiver device to perform signal transmission and reception.

[0066] The modem is used to convert digital signals into analog signals. Specifically, when the signal transceiver acts as the transmitter, the modem converts the digital signal generated by the computer into an analog signal suitable for transmission on an analog channel. Correspondingly, when the signal transceiver acts as the receiver, the modem converts the received analog signal into a digital signal for the CPU to process.

[0067] It should be noted that the modem can also support functions such as synchronous transmission, compensation for signal interference, multiplexing, and automatic redialing to ensure the accuracy and stability of data during transmission.

[0068] The digital-to-analog signal converter is used to convert the digital baseband signal into an analog signal for processing by the modulator.

[0069] The modulator is used to modulate and transmit the baseband signal, converting the baseband signal into a radio frequency signal suitable for transmission over a wireless channel.

[0070] A power amplifier is used to amplify the power of radio frequency signals so that they can cover a longer distance or penetrate obstacles. In applications, a power amplifier can amplify the power of radio frequency signals with a frequency of 920-925 MHz.

[0071] The duplex module is used to: with the help of the clock module, use time division multiplexing to control the multiple antenna components connected to each antenna port to transmit signals in time periods, and to control each passive IoT signal transceiver to transmit signals in time periods to avoid signal interference.

[0072] In applications, the duplex module can also dynamically adjust the ratio of uplink and downlink time slots within the same frequency band according to business needs, thereby meeting the special needs of some communication services corresponding to the Internet of Things system.

[0073] The self-interference cancellation module is used to suppress the self-interference signals generated during the transmission and reception of RF signals to improve the signal-to-noise ratio, increase the communication distance, and increase the data transmission rate. The self-interference signal is used to represent the interference caused by various factors such as antenna mutual coupling and signal reflection.

[0074] The low-noise amplifier is used to amplify the weak signal received by the antenna body while minimizing the introduction of noise.

[0075] The digital elevation module is used to achieve accurate positioning of the RFID tag. Specifically, it obtains the corresponding ground elevation information based on remote sensing technology or ground measurement technology, and then optimizes the positioning information of the RFID tag obtained with reference to the ground elevation information to obtain the precise position of the corresponding RFID tag.

[0076] The filter is used to remove signals other than 920-925MHz and to adjust and optimize the characteristics of signals within the frequency range of 920-925MHz.

[0077] The external interface controller is used to control the USB interface, network port, serial port, general input and output module, load, RF switch, antenna port 1, antenna port 2, antenna port 3, antenna port 4, antenna port 5, and antenna port 6.

[0078] Each antenna port can output a signal transmission power of 6-36dBm, in 1dB steps.

[0079] The clock module is used to synchronize the clocks between the various modules within the passive IoT signal transceiver equipment.

[0080] Furthermore, when the signal transceiver device is connected to 6 antenna components, the signal transceiver device is set in the middle of the 6 antenna components, so that the distance between any two adjacent antenna components in the 6 antenna components is kept at u meters, such as Figure 7 As shown, Figure 7 The passive IoT signal transceiver device can be understood as the signal transceiver device described in the present invention, and the omnidirectional rotating passive IoT antenna can be understood as the antenna assembly described in the present invention. At this time, the maximum coverage area of ​​the signal transceiver device is 6u 2 Square meters, where the u value can be between 1 / 2 and 2 / 3 of the maximum distance that the antenna body of the antenna assembly can cover, thereby ensuring that the maximum coverage range of each omnidirectional rotating passive IoT antenna can form a cellular topology coverage with the maximum coverage range of other omnidirectional rotating passive IoT antennas, thereby ensuring that each Figure 7 The coverage areas of the signal transceiver devices of the six antenna assemblies are connected in a manner to form a cellular continuous coverage area to reduce the coverage blind spots of the Internet of Things system in the target area.

[0081] Based on the above settings, when the position of the RFID tag changes randomly, the optimal posture of each antenna component can be determined in real time, and effective coverage of all RFID tags in the target area can be achieved with a minimum number of antenna components, while avoiding co-frequency interference, thereby solving the problem of excessive antenna usage and excessive investment when using ordinary antennas for passive IoT coverage in a certain space.

[0082] Furthermore, the Internet of Things system formed based on this example can be Figure 8 As shown, the IoT system includes a network control platform (also known as the aforementioned control platform), 4 switches, and 6 signal transceiver devices (each signal transceiver device can be connected to a maximum of 6 antenna components, namely Figure 8 Passive IoT signal transceiver devices 1-6) and 144 antenna components ( Figure 8 Only six antenna components are shown, namely, omnidirectional rotatable passive IoT antennas 1-6).

[0083] The main function of the network control platform is to receive instructions from the external operating system, realize the various functions of the passive Internet of Things system, perform overall signaling control on the passive Internet of Things transmission system, and overall control the operation of switches, signal transceiver equipment and antenna components.

[0084] Furthermore, the network control platform (also known as the aforementioned control platform) is connected to the switch to control the functions of the switch. The switch mainly realizes the data forwarding and exchange functions between different IoT devices in the passive IoT system, is responsible for broadcast control and congestion management, and completes device access and interconnection functions.

[0085] Each switch is connected to six signal transceivers, and the switch controls the signal transmission and reception of the six signal transceivers through the PoE network port. It should be noted that the switch can also power the six signal transceivers through the PoE network port. In this case, the signal transceivers are powered by an external power supply.

[0086] Each signal transceiver device is connected to 6 antenna components, and different signal transceivers are connected to different antenna components. The signal transceiver device controls the RF signal transmission of the antenna component and the operation of the driving component.

[0087] Specifically, under a network control platform, no matter how many signal transceiver devices are connected, only one antenna component connected to one signal transceiver device can maintain the signal sending state (that is, at each moment, at most one of the 144 antenna components can maintain the signal sending state). In this way, there is only one 920-925MHz frequency transmission signal in the free space covered by all antennas, thereby avoiding communication abnormalities caused by co-frequency interference at the transmitting end.

[0088] It should also be noted that when the antenna assembly is in the signal sending state, the signal receiving function of the signal transceiver device connected to it is turned off to ensure that the signal device does not generate and receive signals in the same frequency band at the same time, thereby avoiding communication abnormalities caused by this.

[0089] Each signal transceiver device can also be cascaded via the aforementioned serial port to increase the maximum number of antenna components connected to the IoT system (referring to more than 144), thereby expanding the signal coverage of the IoT system. However, it should be noted that each signal transceiver device can only be cascaded one level at most to avoid power shortages or control system failures.

[0090] The embodiment of the present invention also provides a coverage enhancement method for an Internet of Things system, such as Figure 9 As shown, applied to the aforementioned Internet of Things system, the method includes:

[0091] Step 901: Obtain first information.

[0092] The first information includes: initial posture information of each antenna component in the plurality of antenna components, and the initial posture information includes: a first posture of the corresponding antenna component in a first time period;

[0093] Step 902: Search for an optimal antenna strategy based on the first information to obtain second information.

[0094] The second information includes: target posture information of each antenna assembly in the plurality of antenna assemblies, the target posture information includes: a second posture of the corresponding antenna assembly in a second time period; the first time period is before the second time period;

[0095] Step 903: Based on the second information, perform an antenna attitude adjustment operation on the Internet of Things system within the second time period.

[0096] Among them, the number of tags corresponding to the second information is greater than the number of tags corresponding to the first information, the number of tags corresponding to the first information is: the sum of multiple first quantity values ​​corresponding to the multiple antenna assemblies, and the first quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding first posture; the number of tags corresponding to the second information is: the sum of multiple second quantity values ​​corresponding to the multiple antenna assemblies, and the second quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding second posture.

[0097] The posture of the antenna assembly can be understood as the signal direction of the antenna assembly, which includes at least: a first rotation angle and a second rotation angle, the first rotation angle being: the angle value of the corresponding antenna assembly rotating around the first axis compared to the set first angle zero value, and the second rotation angle being: the angle value of the corresponding antenna assembly rotating around the second axis compared to the set second angle zero value.

[0098] Exemplarily, the first time period may be understood as a historical time period, and the second time period may be understood as a time period after the current moment, where the current moment is the end moment of the historical time period.

[0099] The optimal antenna strategy search can be understood as a process of adjusting the postures of multiple antenna components based on a set antenna posture adjustment strategy so that the adjusted multiple antenna components cover a greater number of radio frequency tags in the target area.

[0100] Based on the second information, performing the antenna attitude adjustment operation on the Internet of Things system within the second time period is specifically: within the second time period, adjusting the attitude of each antenna component in the multiple antenna components to the target attitude corresponding to the second information.

[0101] In this embodiment, based on the setting of the posture-adjustable antenna component and combined with the optimal antenna strategy search method, a better antenna posture strategy can be automatically obtained, that is, an antenna posture strategy that covers a larger number of radio frequency tags can be obtained, so that multiple antenna components can be optimally adjusted in posture based on the actual distribution of radio frequency tags in the target area, facilitating the application of the Internet of Things system after deployment and reducing the control difficulty of the Internet of Things system after deployment.

[0102] In one embodiment, the performing an optimal antenna strategy search based on the first information to obtain the second information includes:

[0103] Based on the first information, the plurality of antenna components are traversed multiple times to obtain the second information, wherein an i-th traversal in the multiple traversals includes:

[0104] Taking the first posture of the i-th antenna assembly among the multiple antenna assemblies as a starting point, stepping based on a set step size to generate multiple candidate postures of the i-th antenna assembly;

[0105] Among multiple candidate postures of the i-th antenna assembly, the candidate posture corresponding to the largest coverage value is determined as the second posture of the i-th antenna assembly, wherein the coverage value corresponding to the candidate posture of the i-th antenna assembly is: the number of first tags covered by the i-th antenna assembly in the target area based on the corresponding candidate posture, where the first tag is an RFID tag not covered by other antenna assemblies among multiple RFID tags included in the target area;

[0106] Wherein, i is a positive integer less than or equal to N, and N is the number of the multiple antenna components.

[0107] In this embodiment, multiple traversals are performed through multiple antenna components, and in each traversal process, the first posture of the currently traversed antenna component is used as the starting point, and steps are performed based on the set step size to obtain multiple candidate postures that can be supported by the currently traversed antenna component, and the number of first tags covered by the currently traversed antenna component under the corresponding candidate postures, and the candidate posture with the largest number of covered first tags is determined as the second posture of the currently traversed antenna component, so as to quickly determine a better antenna posture strategy through iterative traversal.

[0108] It should be noted that the above-mentioned set step size is an integer multiple of the minimum step size of attitude adjustment that can be supported by the antenna assembly.

[0109] For example, the process of determining the second posture of a certain antenna component based on the above multiple traversal method may be:

[0110] If the first posture of the antenna component is set as the starting point and steps are taken based on the set step size, multiple candidate postures of the antenna component are generated, namely the first candidate posture, the second candidate posture and the third candidate posture, wherein the antenna component covers RF tag 1 and RF tag 2 in the first candidate posture, the antenna component covers RF tag 3 in the second candidate posture, and the antenna component covers RF tag 4, RF tag 5 and RF tag 6 in the third candidate posture. When RF tags 1-4 are not covered by the previously traversed antenna component, and RF tag 5 and RF tag 6 have been covered by the previously traversed antenna component, the first candidate posture is selected as the second posture of the antenna component.

[0111] It should be noted that when there are multiple candidate postures corresponding to the maximum coverage value of a certain antenna component, one candidate posture can be randomly selected from the multiple candidate postures corresponding to the maximum coverage value of the antenna component to be determined as the second posture of the antenna component.

[0112] In some embodiments, the first tag can be further limited to: RFID tags among the multiple RFID tags included in the target area that are not covered by other antenna assemblies and whose corresponding RFID signal strength values ​​are greater than a strength threshold (such as -110 dBm), so as to avoid treating RFID tags with too weak signal strength as identifiable RFID tags, thereby ensuring that the RFID tags covered by the second information can cooperate with multiple antenna assemblies to provide stable and reliable RFID signal transmission and reception information.

[0113] In one example, the process of searching for the optimal antenna strategy based on the first information to obtain the second information may also be:

[0114] Numbering and sorting the multiple antenna components to obtain an antenna sequence;

[0115] Starting from the first posture of the first antenna component in the antenna sequence, the first antenna component in the antenna sequence is controlled to perform multiple posture adjustments according to a set step length until the first antenna component in the antenna sequence recognizes the most radio frequency identification tags, the posture of the first antenna component in the antenna sequence is fixed, and the second antenna component in the antenna sequence is selected. Starting from the first posture of the second antenna component, the second antenna component in the antenna sequence is controlled to perform multiple posture adjustments according to a set step length until the second antenna component in the antenna sequence recognizes the most radio frequency identification tags (excluding the first antenna component in the antenna sequence). When the posture of the second antenna component in the antenna sequence is fixed, the posture of the third antenna component in the antenna sequence is selected, and the above process is continued starting from the first posture of the third antenna component until the posture of the last antenna component in the antenna sequence is also fixed. It should be noted that in the above process, the RFID tag identified by a certain antenna component does not include the RFID tags identified by several antenna components located before the antenna component in the antenna sequence. At this time, the fixed posture of each antenna component in the antenna sequence can be understood as the second posture corresponding to the antenna component.

[0116] In actual applications, when a certain RFID tag can only be recognized by one antenna component and the signal strength of the RFID signal reflected by it is lower than -110bm, the postures of the four antenna components closest to the RFID tag among multiple antenna components can be adjusted again so that the RFID tag can be covered by two or more RFIDs, or the RFID device tag can be recognized by a certain antenna component and the signal strength of the RFID signal reflected by it to the antenna component is higher than -110bm.

[0117] In one embodiment, the method further comprises:

[0118] Obtaining antenna position information and signal quality information, wherein the antenna position information includes: the position of each antenna assembly among the multiple antenna assemblies; the signal quality information includes: multiple sets of strength data corresponding to each antenna assembly among the multiple antenna assemblies, the multiple sets of strength data corresponding to multiple antenna postures being in one-to-one correspondence, different sets of strength data corresponding to the same antenna assembly corresponding to different antenna postures, the strength data including: at least one signal strength value identified by the corresponding antenna assembly in the corresponding antenna posture within the target area, the at least one signal strength value corresponding to at least one radio frequency identification tag being in one-to-one correspondence, the signal strength value being used to represent the signal strength of a radio frequency signal transmitted between the corresponding radio frequency identification tag and the corresponding antenna assembly;

[0119] The antenna position information and the signal quality information are input into a prediction model for prediction to obtain a prediction result, wherein the prediction result includes: predicted posture information of each antenna component among the multiple antenna components when the multiple antenna components match the coverage target; the coverage target is to maximize the number of second tags covered by the multiple antenna components within the target area, and the second tag is a radio frequency identification tag whose signal strength of the radio frequency signal transmitted between the antenna component is greater than or equal to a strength threshold; wherein the prediction model is a machine learning model.

[0120] In this embodiment, the antenna posture strategy with the most RF tag coverage is predicted based on the machine learning model to eliminate the complex optimal solution calculation process and improve the output efficiency of the prediction results while ensuring the accuracy of the prediction results.

[0121] Among them, by setting the strength threshold, we can avoid including RF tags with too low signal strength into the coverage range, avoid the risk of signal reception and transmission failure or abnormality due to too low signal strength, and ensure the reliability of the obtained prediction information.

[0122] For example, the intensity threshold may be -110 dBm.

[0123] Exemplarily, the process of inputting the antenna position information and the signal quality information into a prediction model for prediction may be:

[0124] The sample position information is a vector E, E=[E1,E2,……,E n ], n is the number of sample antenna components used to train the model, E p represents the p-th position data, that is, the position of the p-th sample antenna component among multiple sample antenna components used to train the model, where p is a positive integer less than or equal to n.

[0125] The sample quality information is a matrix S, S = [S jk ], S jk It represents the signal strength value reflected by the RFID tag received by the jth sample antenna assembly when it is adjusted to the kth posture, where j is a positive integer less than or equal to n, and k is any one of the multiple postures that the sample antenna assembly can support adjustment.

[0126] Data preprocessing is performed on the vector E and the matrix S respectively to remove outliers and obtain the cleaned data E′, S′.

[0127] Normalize E′ and S′ to the interval [0,1] to obtain data E* and S*.

[0128] Features are extracted from E* and S* respectively to form a feature matrix X and a label vector y, where X contains the features of position and signal strength value, and y is the optimal antenna posture combination.

[0129] The supervised machine learning model (i.e., the initial model corresponding to the aforementioned prediction model) is constructed as f(x;θ), where x∈X is the input feature and θ is the model parameter. The training goal of the machine learning model is to maximize the recognition rate of the RFID tag reflection signal of multiple sample antenna components, which is approximately equivalent to minimizing the loss function Where m is the number of samples (ie, the number of multiple sample antenna components), and e is the loss function.

[0130] Update θ using gradient descent or its variants: where α is the learning rate.

[0131] Then get the environment parameter e real (which can be understood as the aforementioned antenna position information) and signal quality data s real (which can be understood as the aforementioned signal quality information), after the aforementioned preprocessing and normalization processing, the feature vector x is obtained real , to obtain the prediction information y through the prediction model * =f(x real ;θ).

[0132] In one embodiment, after performing an antenna attitude adjustment operation on the Internet of Things system within the second time period based on the second information, the method further includes:

[0133] performing radio frequency identification on a plurality of radio frequency identification tags recorded in the target area based on the Internet of Things system to obtain an identification result, wherein the identification result is used to indicate whether the plurality of radio frequency identification tags include a missing tag, where the missing tag is an radio frequency identification tag among the plurality of radio frequency identification tags that is not identified by the Internet of Things system;

[0134] If the recognition result indicates that the plurality of radio frequency identification tags include the missing tag, determining at least one adjacent antenna component from the plurality of antenna components, wherein the adjacent antenna component is an antenna component from the plurality of antenna components, the distance between the adjacent antenna component and the missing tag being less than a distance threshold;

[0135] Controlling the at least one adjacent antenna assembly to move toward the missing tag to perform signal transmission and reception, and obtaining a signal transmission and reception result, wherein the signal transmission and reception result is used to indicate whether the at least one adjacent antenna assembly recognizes the missing tag;

[0136] When the signal receiving and sending result indicates that none of the adjacent antenna components recognizes the missing tag, an alarm message is output.

[0137] When one or more antenna assemblies among the multiple antenna assemblies can transmit and receive signals with a radio frequency tag, it is considered that the radio frequency tag is recognized by the Internet of Things system. Otherwise, it is considered that the radio frequency tag is not recognized by the Internet of Things system.

[0138] It should be understood that the target area is an area for placing set goods or products (with the aforementioned RFID tags affixed to the surface). When the set goods or products are placed in the target area, an entry record will be generated. Correspondingly, when the set goods or products are taken out of the target area, an exit record will be generated. By counting all entry records and all exit records in the target area, multiple RFID tags in the target area (i.e., RFID tags with entry records but no exit records) can be obtained.

[0139] In this embodiment, based on the above settings, the presence of multiple tags in the target area is detected, and then the automatic inventory operation of the set goods or products stored in the target area is realized, which greatly improves the inventory efficiency and inventory effect.

[0140] The alarm information at least includes the tag identification of the missing tag and the position where the missing tag enters the target area.

[0141] In one embodiment, after performing an antenna attitude adjustment operation on the Internet of Things system within the second time period based on the second information, the method further includes:

[0142] Locating a third tag based on the Internet of Things system to obtain a first position, wherein the third tag is one of a plurality of radio frequency identification tags included in the target area, and the first position is a position of the third tag identified by the Internet of Things system;

[0143] A second position is updated based on the first position, wherein the second position is the position of the third tag when it is placed in the target area.

[0144] In this embodiment, based on the above-mentioned setting, the precise location of the RFID tag is obtained through the Internet of Things system, and then the storage location / historical location (i.e., the first location) of the RFID tag is updated based on the precise location to adapt to possible tag changes in the target area, so that the location of the RFID tag recorded in the database maintains a high degree of accuracy.

[0145] like Figure 10As shown, an embodiment of the present invention further provides an antenna assembly 1000, comprising: an antenna body 1001, a driving assembly 1002, and a control system 1003, wherein a power output end of the driving assembly 1002 is connected to the antenna body 1001, and the antenna body 1001 and the driving assembly 1002 are electrically connected to the control system 1003 respectively;

[0146] The control system 1003 is used to receive a control signal and control the driving component 1002 to drive the antenna body 1001 to move according to the control signal.

[0147] Based on the setting of the driving component that can drive the movement of the antenna body, after the antenna assembly is deployed, the antenna body inside the antenna assembly can flexibly transmit signals in multiple directions, rather than only in a specific direction. This greatly increases the signal coverage range of a single antenna body, reduces the number of antenna components required to deploy a passive Internet of Things system, and thus reduces the overall cost of deploying the passive Internet of Things system.

[0148] The specific structure of the antenna assembly 1000 described in this embodiment can be found in the aforementioned example, and will not be described again to avoid repetition.

[0149] The present invention also provides an electronic device, see Figure 11 , Figure 11 This is a schematic diagram of the structure of an electronic device provided by the present invention. The electronic device includes a memory 1101, a processor 1102, and a program or instruction stored in the memory 1101 and running on the memory 1101. When the program or instruction is executed by the processor 1102, Figure 1 Any steps in the corresponding embodiment of the coverage enhancement method of the Internet of Things system and the same beneficial effects are achieved will not be repeated here.

[0150] The processor 1102 may be a CPU, an ASIC, an FPGA, or a GPU.

[0151] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned coverage enhancement method embodiment of the Internet of Things system can be completed by hardware related to program instructions, and the program can be stored in a readable medium.

[0152] The present invention also provides a readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above Figure 9Any steps in the corresponding embodiments of the coverage enhancement method for the Internet of Things system can achieve the same technical effect and are not described here to avoid repetition. The storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0153] The terms "first", "second", etc. in the present invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. In addition, the use of "and / or" in the present invention represents at least one of the connected objects, such as A and / or B and / or C, which means seven situations including A alone, B alone, C alone, and both A and B exist, both B and C exist, both A and C exist, and all A, B and C exist.

[0154] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0155] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or second terminal device, etc.) to execute the methods of various embodiments of the present invention.

[0156] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are protected by the present invention.

Claims

1. An Internet of Things system, characterized in that: The Internet of Things system includes a control platform, multiple signal transceiver devices, and multiple antenna assemblies, wherein the control platform is electrically connected to the multiple signal transceiver devices, the signal transceiver device is electrically connected to at least one antenna assembly of the multiple antenna assemblies, and different signal transceiver devices among the multiple signal transceiver devices are connected to different antenna assemblies; The antenna assembly includes: an antenna body, a driving assembly and a control system, wherein the power output end of the driving assembly is connected to the antenna body, and the antenna body and the driving assembly are electrically connected to the control system respectively; The control system is used to receive the control signal sent by the signal transceiver device, and control the driving component to drive the antenna body to move according to the control signal.

2. The Internet of Things system according to claim 1, characterized in that The driving assembly includes a first driving module and a second driving module, wherein a first power output end of the first driving module is connected to a fixed end of the second driving module, a second power output end of the second driving module is connected to the antenna body, and the first driving module and the second driving module are respectively electrically connected to the control system; The first driving module is used to drive the second driving module to rotate around a first axis, and the second driving module is used to drive the antenna body to rotate around a second axis, wherein the first axis and the second axis are arranged at an angle.

3. The Internet of Things system according to claim 1, characterized in that The signal transceiver device includes: a signal transceiver module, a processor, and multiple antenna ports; Among them, the signal transceiver module is electrically connected to the first end of the processor, the multiple antenna control ends of the processor correspond one-to-one to the multiple antenna ports, and the signal transceiver device is electrically connected to at least one corresponding antenna component through the antenna port.

4. The Internet of Things system according to claim 3, characterized in that: The multiple antenna components include a first antenna component and a second antenna component, wherein the first antenna component and the second antenna component are any two different antenna components among the multiple antenna components, and the signal transmission and reception time period of the first antenna component is different from the signal transmission and reception time period of the second antenna component.

5. A coverage enhancement method for an Internet of Things system, applied to the Internet of Things system according to any one of claims 1 to 4, characterized in that: The method comprises: Acquire first information, wherein the first information includes: initial posture information of each antenna component among the multiple antenna components, and the initial posture information includes: a first posture of the corresponding antenna component within a first time period; performing an optimal antenna strategy search based on the first information to obtain second information, wherein the second information includes: target posture information of each antenna assembly among the multiple antenna assemblies, the target posture information including: a second posture of the corresponding antenna assembly in a second time period; the first time period being before the second time period; Based on the second information, performing an antenna attitude adjustment operation on the Internet of Things system within the second time period; Among them, the number of tags corresponding to the second information is greater than the number of tags corresponding to the first information, the number of tags corresponding to the first information is: the sum of multiple first quantity values ​​corresponding to the multiple antenna assemblies, and the first quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding first posture; the number of tags corresponding to the second information is: the sum of multiple second quantity values ​​corresponding to the multiple antenna assemblies, and the second quantity value is: the number of radio frequency identification tags covered by the corresponding antenna assembly in the target area based on the corresponding second posture.

6. The method according to claim 5, characterized in that The performing an optimal antenna strategy search based on the first information to obtain second information includes: Based on the first information, the plurality of antenna components are traversed multiple times to obtain the second information, wherein an i-th traversal in the multiple traversals includes: Taking the first posture of the i-th antenna assembly among the multiple antenna assemblies as a starting point, stepping based on a set step size to generate multiple candidate postures of the i-th antenna assembly; Among multiple candidate postures of the i-th antenna assembly, the candidate posture corresponding to the largest coverage value is determined as the second posture of the i-th antenna assembly, wherein the coverage value corresponding to the candidate posture of the i-th antenna assembly is: the number of first tags covered by the i-th antenna assembly in the target area based on the corresponding candidate posture, where the first tag is an RFID tag not covered by other antenna assemblies among multiple RFID tags included in the target area; Wherein, i is a positive integer less than or equal to N, and N is the number of the multiple antenna components.

7. The method according to claim 5, characterized in that The method further comprises: Obtaining antenna position information and signal quality information, wherein the antenna position information includes: the position of each antenna assembly among the multiple antenna assemblies; the signal quality information includes: multiple sets of strength data corresponding to each antenna assembly among the multiple antenna assemblies, the multiple sets of strength data corresponding to multiple antenna postures being in one-to-one correspondence, different sets of strength data corresponding to the same antenna assembly corresponding to different antenna postures, the strength data including: at least one signal strength value identified by the corresponding antenna assembly in the corresponding antenna posture within the target area, the at least one signal strength value corresponding to at least one radio frequency identification tag being in one-to-one correspondence, the signal strength value being used to represent the signal strength of a radio frequency signal transmitted between the corresponding radio frequency identification tag and the corresponding antenna assembly; The antenna position information and the signal quality information are input into a prediction model for prediction to obtain a prediction result, wherein the prediction result includes: predicted posture information of each antenna component among the multiple antenna components when the multiple antenna components match the coverage target; the coverage target is to maximize the number of second tags covered by the multiple antenna components within the target area, and the second tag is a radio frequency identification tag whose signal strength of the radio frequency signal transmitted between the antenna component is greater than or equal to a strength threshold; wherein the prediction model is a machine learning model.

8. The method according to claim 5, characterized in that After performing the antenna attitude adjustment operation on the Internet of Things system within the second time period based on the second information, the method further includes: performing radio frequency identification on a plurality of radio frequency identification tags recorded in the target area based on the Internet of Things system to obtain an identification result, wherein the identification result is used to indicate whether the plurality of radio frequency identification tags include a missing tag, where the missing tag is an radio frequency identification tag among the plurality of radio frequency identification tags that is not identified by the Internet of Things system; If the recognition result indicates that the plurality of radio frequency identification tags include the missing tag, determining at least one adjacent antenna component from the plurality of antenna components, wherein the adjacent antenna component is an antenna component from the plurality of antenna components, the distance between the adjacent antenna component and the missing tag being less than a distance threshold; Controlling the at least one adjacent antenna assembly to move toward the missing tag to perform signal transmission and reception, and obtaining a signal transmission and reception result, wherein the signal transmission and reception result is used to indicate whether the at least one adjacent antenna assembly recognizes the missing tag; When the signal receiving and sending result indicates that none of the adjacent antenna components recognizes the missing tag, an alarm message is output.

9. The method according to claim 5, characterized in that After performing the antenna attitude adjustment operation on the Internet of Things system within the second time period based on the second information, the method further includes: Locating a third tag based on the Internet of Things system to obtain a first position, wherein the third tag is one of a plurality of radio frequency identification tags included in the target area, and the first position is a position of the third tag identified by the Internet of Things system; A second position is updated based on the first position, wherein the second position is the position of the third tag when it is placed in the target area.

10. An antenna assembly, characterized in that: The antenna assembly includes: an antenna body, a driving assembly and a control system, wherein the power output end of the driving assembly is connected to the antenna body, and the antenna body and the driving assembly are electrically connected to the control system respectively; The control system is used to receive a control signal and, based on the control signal, control the driving component to drive the antenna body to move.

11. An electronic device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the steps of the coverage enhancement method for an Internet of Things system according to any one of claims 5 to 9 are implemented.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the coverage enhancement method for an Internet of Things system according to any one of claims 5 to 9.

13. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the coverage enhancement method of the Internet of Things system according to any one of claims 5 to 9.

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