Electronic equipment and method for multi-network communication positioning and medium

Abstract

The invention relates to the technical field of communication, and discloses a multi-network communication positioning electronic device, a method and a medium, the multi-network communication positioning electronic device comprises a processor, a memory, a display screen, an input device, an RFID reader-writer, a multi-network communication module and a positioning module, and each module is integrated in a handheld terminal shell and is electrically connected with the processor. The RFID reader-writer scans the RFID tag of the commercial vehicle to obtain vehicle identification information; the multi-network communication module supports at least two wireless protocols and is used for connecting a central management system, logging in an account, acquiring detailed information of a vehicle and returning operation data; the positioning module obtains the real-time position of the terminal; the display screen displays a service module selection interface and vehicle detailed information, and the input device is used for selecting the service module. Based on the invention, data real-time transmission and position association in automobile wharf operation can be realized, and the operation efficiency and the data reliability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, in particular to an electronic device, a method and a medium for multi-network communication positioning. BACKGROUND

[0002] In the prior art, ordinary electronic devices or traditional data collectors are usually used to complete basic data interaction in automobile wharf field operation. Such devices usually have RFID (Radio Frequency Identification) tag reading function and can realize commodity car information collection. In such existing electronic devices, most of the devices integrate a single wireless communication module (such as supporting only WiFi or a single frequency band of mobile communication) and can transmit data with a central management system; a small number of high-end configuration devices are attached with positioning functions, but most of them are based on rough positioning of base stations.

[0003] After analyzing a large amount of field operation data generated by the combination of such existing electronic devices and application scenarios, the inventor found that the prior art still has obvious deficiencies and cannot meet the needs of complex operation scenarios in automobile wharfs: first, the communication stability is insufficient, most devices only support a single or limited wireless protocol, and in the environment of dense metal structure and strong interference of large machinery in the wharf, signal interruption easily occurs, which leads to the failure of real-time return of operation data and affects the efficiency of business closed loop; second, the data and location correlation is missing, the existing positioning function has low accuracy (usually with an error of 5-10 meters), which cannot bind the commodity car identification data with the specific operation location, and vehicle scheduling misplacement easily occurs; third, the business interaction continuity is poor, the device can only read or upload data, and does not form linkage with multiple business modules in the wharf, which increases the risk of wrong selection of business and omission of data, and restricts the intelligentization and high efficiency upgrade of wharf field operation.

[0004] It should be noted that for such existing electronic devices, the inert thinking of those skilled in the art is that such existing electronic devices can be used normally under a certain fault tolerance and necessary manual intervention, and there is no motivation to study and find related problems that need to be improved in the combination of the device and the application scenario, and there is no motivation to study and find technical obstacles existing in the related problems.

[0005] Therefore, how to effectively improve the wharf operation efficiency and data reliability based on the combination of electronic devices and application scenarios has become a technical problem to be solved. SUMMARY

[0006] The present application provides an electronic device, a method and a medium for multi-network communication positioning to solve the technical problem of low wharf operation efficiency and data reliability.

[0007] In a first aspect, a multi-network communication positioning electronic device is provided, comprising: a memory for storing a computer program that can be invoked and run by the processor; an RFID reader / writer for scanning a vehicle RFID tag of a commodity vehicle; a multi-network communication module for establishing a connection with a central management system; a display screen configured to display a business module selection interface for displaying vehicle detailed information obtained from the central management system; an input device for receiving user input to filter business modules in the business module selection interface; a positioning module for obtaining real-time location information of the electronic device; a processor in communication connection with the memory, the RFID reader / writer, the multi-network communication module, the positioning module, the display screen, and the input device, for invoking and executing the computer program to perform the following steps: scanning a vehicle RFID tag of a commodity vehicle through the RFID reader / writer to obtain vehicle identification information; establishing a connection with a central management system through the multi-network communication module, sending user account login information to the central management system based on the connected multi-network communication module, and receiving a login status from the central management system; displaying a preset business module selection interface on the display screen of the electronic device, and receiving user input data through the input device to filter a target business module corresponding to the user input data in the business module selection interface; obtaining vehicle detailed information of the commodity vehicle from the central management system based on the vehicle identification information and the login status through the multi-network communication module, and displaying the information on the display screen; obtaining real-time location information of the electronic device through the positioning module, and matching the real-time location information with terminal yard partition coordinates in the vehicle detailed information; determining target location information of the electronic device based on the matching result, and real-time returning business information of the target business module, the vehicle identification information, and the target location information to the central management system through the multi-network communication module. In a second aspect, a multi-network communication positioning method is provided, which is applicable to the multi-network communication positioning electronic device described above, and the method comprises: scanning a vehicle RFID tag of a commodity vehicle through the RFID reader / writer of the electronic device to obtain vehicle identification information; The electronic device establishes a connection with the central management system through the multi-network communication module, sends the user's account login information to the central management system based on the connected multi-network communication module, and receives the login status from the central management system. The electronic device displays a preset service module selection interface on its screen and receives user input data through its input device. The target service module corresponding to the user input data is then filtered in the service module selection interface. The electronic device obtains detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status through the multi-network communication module of the electronic device, and displays it on the display screen. The real-time location information of the electronic device is obtained through the positioning module of the electronic device, and the real-time location information is matched with the dock yard partition coordinates in the vehicle details. Based on the matching results, the target location information of the electronic device is determined, and the business information of the target business module, the vehicle identification information, and the target location information are transmitted back to the central management system in real time through the multi-network communication module.

[0008] Thirdly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for multi-network communication positioning.

[0009] In this invention, RFID is used to quickly identify vehicles, and multi-network communication ensures the real-time and reliable data link, realizing the automated collection and real-time transmission of on-site operation data, improving operational efficiency and avoiding manual data entry errors. Precise positioning information is tightly bound to each business operation data point, enabling the central management system to accurately track and visualize vehicle location and operational status throughout the entire process, effectively solving the problem of chaotic yard management caused by inaccurate positioning. This terminal integrates scattered identification, communication, and positioning functions into a highly efficient business closed-loop tool, solving the problems of low terminal operation efficiency and data reliability, and improving the intelligence level, operational accuracy, and overall operational efficiency of on-site terminal operations. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating a multi-network communication positioning method according to an embodiment of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] Figure 1 This is a functional block diagram of the logical structure of a miniaturized electronic device for precise positioning via multi-network communication, according to an embodiment of the present invention. Figure 1 As shown, this embodiment of the invention provides an electronic device for precise positioning via multi-network communication, which includes: a processor 10, a memory 20, a display screen 30, an input device 40, an RFID reader / writer 50, a multi-network communication module 60, and a positioning module 70; The processor, the memory, the RFID reader, the multi-network communication module, and the positioning module are disposed within the housing of the handheld terminal, and the processor is electrically connected to the memory, the display screen, the input device, the RFID reader, the multi-network communication module, and the positioning module. Memory is used to store computer programs that can be accessed and executed by the processor. RFID reader / writer, used to scan the RFID tags on commercial vehicles; Multiple network communication modules are used to establish connections with the central management system; The display screen is configured to show the business module selection interface and is used to display detailed vehicle information obtained from the central management system. Input devices are used to receive user input and filter business modules in the business module selection interface; A positioning module is used to obtain the real-time location information of the electronic device; The processor, communicatively connected to the memory, the RFID reader / writer, the multi-network communication module, the positioning module, the display screen, and the input device, is used to call and execute the computer program to perform the following steps: The vehicle identification information is obtained by scanning the vehicle's RFID tag with the RFID reader / writer. The multi-network communication module establishes a connection with the central management system, and sends the user's account login information to the central management system based on the connected multi-network communication module, and receives the login status from the central management system. The electronic device displays a preset service module selection interface on its screen and receives user input data through the input device. The user input data is then filtered in the service module selection interface to select the target service module. The multi-network communication module retrieves detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status, and displays it on the display screen. The positioning module obtains the real-time location information of the electronic device and matches the real-time location information with the dock yard partition coordinates in the vehicle details. Based on the matching results, the target location information of the electronic device is determined, and the business information of the target business module, the vehicle identification information, and the target location information are transmitted back to the central management system in real time through the multi-network communication module. In this embodiment of the invention, the electronic device (such as a miniaturized RFID handheld terminal) is suitable for on-site operation scenarios such as unloading and loading at a car terminal. Its hardware selection and functional implementation meet the requirements of being practical and reproducible. The housing is made of ABS+PC composite shock-resistant plastic and waterproof material, weighing less than 500 grams. The housing's size is suitable for handheld operation, with an overall length of 16cm, width of 7cm, thickness of 2.2cm, and a weight of 280g, meeting miniaturization requirements and facilitating one-handed operation by the driver. The internal layout of the housing is partitioned, with the processor and memory integrated into the central PCB motherboard. The RFID reader module is fixed at the top of the housing, corresponding to the scanning window. Multiple network communication modules and antennas are located at the bottom of the housing to reduce interference from metal components. The positioning module is embedded in the side of the housing. All modules are physically fixed and electrically connected through circuit traces on the PCB board, ensuring structural stability and reliable signal transmission.

[0014] In detail, the processor uses the Qualcomm Snapdragon 665 processor with ARM Cortex-A75 architecture and a main frequency of 2.0GHz, which supports multi-module parallel data processing. It establishes data interaction with the RFID reader through the SPI interface on the PCB board, connects to the memory through the I2C interface to realize data reading and writing, drives the display screen to display content through the MIPI interface, receives operation commands from input devices through the GPIO interface, and communicates with multiple network communication modules and positioning modules through the PCIe interface. It can analyze the information transmitted by each module in real time (such as tag data from the RFID reader and latitude and longitude information from the positioning module), and control other modules to perform operations according to preset logic (such as instructing the multi-network communication module to upload data and instructing the display screen to switch interfaces).

[0015] The memory uses a 32GB eMMC 5.1 flash memory chip, which is mainly used to store three types of data: First, temporary cache data, including driver account login information (such as driver ID, work permission level) and vehicle identification information (such as VIN code, model, and production year) obtained by the RFID reader; second, static configuration data, such as protocol parameters of multiple network communication modules and icons and names of business modules (unloading into the site, loading out of the site, etc.); and third, operation data to be uploaded, such as information of the selected business modules and real-time location information obtained by the positioning module, to ensure that data is not lost during temporary network fluctuations and can continue to be uploaded after the network is restored.

[0016] The display screen is a 5.5-inch IPS touch screen with a resolution of 1280×720 pixels and a brightness of 500 nits. The surface is covered with an AG anti-glare coating (suitable for strong outdoor light environments at the dock). Under the control of the processor, after powering on, it first displays the login interface (prompting for account and password login). After the driver successfully logs in, it switches to the business module selection interface. The interface displays eight business module icons in a grid format (labeled as unloading into the yard, loading out of the yard, railway to port, railway to port, highway to port, highway to port, vehicle relocation, and damage handling, respectively). After the driver clicks the corresponding icon, the display screen immediately switches to the vehicle information display interface, which displays detailed vehicle information obtained from the central management system in real time, including vehicle flow, company, and yard location (e.g., row 3, position 5 in yard A). It also displays the real-time location of the current terminal (yard partition after latitude and longitude conversion).

[0017] The input device includes three physical touch buttons on the front of the housing (confirm, return, and home) and a capacitive touch function integrated with the display screen. Drivers can select business modules (click the corresponding icon) and confirm information (click the virtual confirmation upload button on the interface) through the touch screen, submit operation commands through the physical confirmation button (e.g., press the confirmation button to complete the login after logging in with an account and password), and return to the previous interface through the return button (if a business module is mistakenly selected, press the return button to reselect). The operation logic conforms to the conventional usage habits of dock drivers and can be used without additional training.

[0018] The RFID reader supports HF or UHF RFID protocols, with a reading distance of 0.1 to 5 meters. If an UHF RFID reader module (model R2000) is used, the operating frequency covers 860-960MHz, and the reading distance ranges from 0.2 to 3 meters. It is also compatible with the HF (13.56MHz) protocol. When scanning a vehicle, it can read the data from the UHF RFID tag affixed to the vehicle frame. This data contains the vehicle's unique VIN code (i.e., vehicle identification information) and is also transmitted to the processor. The scanning window on the reader head is equipped with a supplementary light, which ensures a high scanning success rate even in dimly lit environments at the dock (such as inside a ship's hold).

[0019] The multi-network communication module includes at least two of the following: a Wi-Fi unit, a mobile communication unit, and a Bluetooth unit. The mobile communication unit supports 4G or 5G networks. For example, the Huawei ME909s-821 industrial-grade communication module can be selected, supporting both 4G LTE (frequency bands covering B1 / B3 / B5 / B8, compatible with domestic operator networks) and WiFi 802.11b / g / n (2.4GHz band) wireless communication protocols. It connects to the processor via the PCIe interface on the PCB board. During operation, it automatically selects the communication method based on the signal strength at the dock site: if the WiFi signal in the yard area is stable (signal strength > -70dBm), it prioritizes establishing communication with the central management system (deployed in the dock's computer room, with the IP address preset within the module) via WiFi. Establish a TCP connection; if the WiFi signal is weak (< -85dBm), automatically switch to a 4G or 5G network connection; after successful connection, the module sends the account login information (driver ID and permissions) transmitted by the processor to the central management system to complete the login, and then sends the vehicle identification information (VIN code) to the system to request detailed vehicle information. After receiving the information returned by the system, it transmits it to the processor; finally, the module packages the operation data containing the selected business module (e.g., loading onto the ship), vehicle identification information, and latitude and longitude information obtained by the positioning module, and uploads it to the central management system at a frequency of once per second to ensure data real-time performance.

[0020] The positioning module can adopt a dual-mode positioning module of Beidou and GPS, which is connected to the ceramic antenna on the outside of the housing through the SMA interface. It can simultaneously receive Beidou and GPS satellite signals with a positioning accuracy of ≤1 meter. After being powered on, it automatically searches for satellite signals, locks on at least 4 satellites, and outputs real-time latitude and longitude data (update frequency 1Hz), which is transmitted to the processor through the UART interface. The processor matches the latitude and longitude data with the preset dock yard zone coordinates of the central management system (for example, yard A corresponds to 31.23°N, 121.50°E to 31.24°N, 121.51°E) to determine the current working area of ​​the terminal. It also associates the location information with vehicle identification information and business module information to form complete operation data, ensuring that the central management system can accurately trace the working location of each vehicle.

[0021] In one practical application scenario of this invention, during actual car terminal loading and unloading operations, the driver uses this handheld terminal. First, the driver installs the vehicle code application APP and logs in with their account information. The processor then logs into the central management system via a multi-network communication module, and the display screen redirects to the business module selection interface. The driver clicks the loading / unloading icon (inputting a selection command received by the device), and the processor controls the display screen to prompt the driver to scan the RFID tag on the vehicle. The driver scans the tag on the vehicle frame, the RFID reader obtains the vehicle identification information, and the multi-network communication module sends this information to the system and receives detailed vehicle information (e.g., destination). The information is displayed in real time on the screen (Tianjin Port, affiliated company XX Logistics, location B, row 2 of the yard). At the same time, the positioning module obtains the terminal's current latitude and longitude (e.g., 31.235°N, 121.505°E) to confirm that it is located in yard B. After the driver confirms that the information is correct, he presses the confirmation button. The multi-network communication module packages and transmits the loading and unloading business information, vehicle VIN code, and B-area location information back to the central management system. After receiving the data, the system returns a data reception success instruction, and the screen displays that the operation is completed, completing the entire loading and unloading business loop. The whole process takes ≤30 seconds, which is about 40% more efficient than traditional equipment.

[0022] Furthermore, by highly integrating and deeply coordinating the three major functional modules of RFID identification, multi-network communication, and precise positioning, the system achieves automatic collection, real-time transmission, and precise binding of on-site operational data at the automobile terminal. This effectively solves the pain points of delayed information entry, inaccurate location tracking, and disconnected business processes in traditional operations, thereby improving the automation level, management accuracy, and overall operational efficiency of terminal operations.

[0023] In this embodiment of the invention, the electronic device further includes an environmental sensing module electrically connected to the processor. The environmental sensing module includes a light sensor. When the processor calls and executes the computer program, it also performs the following steps: The light sensor is used to detect the light intensity at the dock site in real time or at regular intervals. When the light intensity is within the first range of the preset light intensity range, the display screen is controlled to switch to a low-light mode, and / or, when the light intensity is within the third range of the preset light intensity range, the display screen is controlled to switch to a high-light mode, and / or, when the light intensity is within the fourth range of the preset light intensity range, the display screen is controlled to switch to a low-interference nighttime patrol mode; and When the light intensity is in the second range of the preset light intensity range, the display screen is controlled to switch to standard mode.

[0024] The light sensor can be one or a combination of any existing and applicable light sensors, such as ambient light sensors, infrared light sensors, sunlight sensors, and / or ultraviolet light sensors. The light sensor is a sensing device that converts light energy into an electrical signal, consisting of a photosensitive element, a signal processor, and auxiliary circuitry. Its working principle is based on the photoelectric effect; the photosensitive element senses changes in light intensity to generate an electrical signal, which is then processed by the signal processing circuit to achieve the detection function. Further details regarding related light sensors are omitted here.

[0025] Specifically, the light intensity range includes at least a first range, a second range, a third range, and a fourth range, wherein the light intensity of the first range is the lowest and the light intensity of the fourth range is the highest. The light sensor detects the real-time light intensity at the dock site in real time or at regular intervals and automatically switches to the corresponding display mode based on multiple preset light intensity ranges.

[0026] Specifically, the light sensor can be configured to a timed detection mode to periodically monitor the light intensity at the dock. For example, every 2.5 seconds, the light sensor is awakened at the set time interval and performs a data acquisition, then automatically enters a low-power sleep state until the next detection cycle begins. This timed detection mode significantly reduces the average operating current of the light sensor, effectively saving power and extending its continuous operation time in unattended or remotely powered environments. Furthermore, the timed detection mode achieves an optimized balance between power consumption and performance while meeting the requirements for tracking changes in dock lighting.

[0027] Furthermore, when the light intensity is in the first range, the display screen is controlled to switch to a low-light mode, which includes increasing the backlight brightness of the display screen to a first level and adjusting the contrast to a first parameter; when the light intensity is in the second range, the display screen is controlled to switch to a standard mode, which includes restoring the backlight brightness, contrast, and color temperature of the display screen to default parameters; when the light intensity is in the third range, the display screen is controlled to switch to a high-light mode, which includes activating the anti-glare coating on the surface of the display screen and increasing the backlight brightness to a second level; when the light intensity is in the fourth range, the display screen is controlled to switch to a low-interference night patrol mode, which is used to reduce visual interference and power consumption of the handheld terminal in nighttime environments.

[0028] Specifically, the nighttime low-interference patrol mode includes at least the following collaborative operations: switching the display screen interface to a night vision theme dominated by dark red, and limiting the backlight brightness to no more than a preset maximum nighttime brightness value to reduce damage to the human eye's environmental adaptability and the handheld terminal's visibility in the dark; determining whether the handheld terminal is in a preset core dock operation area or densely parked vehicle area through the positioning module; if not, automatically reducing the scanning power and frequency of the RFID reader to the minimum level to maintain basic identification functions; and interacting with the multi-network communication module to control the multi-network communication module to enter an intermittent low-power listening state when not performing critical business data upload / download.

[0029] In this embodiment of the invention, the environmental sensing module further includes a rain sensor, and when the processor calls and executes the computer program, it also performs the following steps: The rain sensor can detect the rainwater adhesion status at the dock site in real time or at regular intervals. When the rain sensor detects rainwater adhering to the surface, it triggers a rainwater touch control strategy, dynamically adjusts the touch response threshold based on the rainwater touch control strategy, and adjusts the touch area of ​​the display screen.

[0030] The rain sensor can be any existing and applicable rain sensor, such as an optical rain sensor, a capacitive rain sensor, or a resistive rain sensor. For example, an optical rain sensor detects raindrops using the principle of light scattering or blocking. The sensor typically contains a light source (such as an infrared emitter) and a light receiver (such as an infrared receiver). When there are no raindrops, the light emitted by the light source directly illuminates the receiver, which receives a stable light signal. When a raindrop falls on the sensor surface, the raindrop scatters or blocks some of the light, causing a change in the intensity of the light signal received by the receiver. By detecting this change in light signal intensity, the sensor can determine whether raindrops have fallen and further estimate the size of the raindrops and the intensity of the rainfall based on the degree of change in the light signal. As another example, a capacitive rain sensor detects raindrops using changes in capacitance. The sensor surface is typically coated with an insulating material, forming a capacitor between two electrodes. When there are no raindrops, the capacitance value remains stable. When a raindrop falls on the sensor surface, the raindrop acts as a conductor, changing the capacitance value between the electrodes. The sensor senses the presence of raindrops by detecting the change in capacitance and can determine the intensity of the rainfall based on the degree of capacitance change. The details of the relevant rain sensors will not be elaborated here.

[0031] Specifically, the rain sensor can monitor the rainwater adhesion status at the dock site using a timed detection method. For example, the rain sensor can be set to wake up and operate every 3 seconds to quickly scan the sensing surface for water droplets, collect data, and then return to sleep mode. This intermittent working mode, compared to continuous real-time monitoring, can significantly reduce the sensor's active working time, thereby significantly reducing its overall power consumption. This helps extend the battery life of outdoor monitoring equipment that relies on batteries or solar power. At the same time, the timed detection method achieves the dual goals of energy saving and system resource optimization while ensuring timely capture of key changes such as the start and end of rainfall.

[0032] Furthermore, when the rain sensor detects rainwater adhering to the surface, it automatically adapts to a rainy touch control strategy. This strategy includes: increasing the touch response threshold required to trigger a valid touch operation and disabling touch recognition functionality in a preset edge area of ​​the display screen. Based on this rainy touch control strategy, the processor is configured to: logically divide the touch area of ​​the display screen into a central operating area and an annular edge area surrounding the central operating area; when the rain sensor detects rainwater adhering to the surface, dynamically increase the first touch response threshold of the central operating area and completely disable the touch recognition functionality in the annular edge area; and dynamically adjust the size of the first touch response threshold and the area ratio of the annular edge area based on the intensity and / or duration of rainwater adhering to the surface detected by the rain sensor.

[0033] Furthermore, through the intelligent collaboration between the environmental perception module and the processor, the system achieves adaptive capabilities to complex working environments at the dock (from extremely dark to bright light and rainy weather). The beneficial technical effects are as follows: by triggering the corresponding display mode (low light, standard, bright light, and night mode) in multiple lighting ranges, the system ensures that the screen content is clearly visible under any lighting conditions. At the same time, combined with rainy touch control strategies (increasing the threshold and disabling edge touch), the system effectively suppresses erroneous operations caused by rain. This improves the overall reliability of the handheld terminal in harsh outdoor environments, the accuracy of data input, and the user experience, ensuring the continuity and efficiency of dock operations.

[0034] In this embodiment of the invention, the multi-network communication module further integrates an interference detection unit, a frequency band decision unit, and a dynamic frequency hopping unit. When the processor calls and executes the computer program, it also performs the following steps: When the frequency band status of the preset target frequency band is in normal operation, the multi-network communication module is controlled to enable the preset primary frequency band; When the frequency band status of the preset target frequency band is in the frequency band switching state, the interference detection unit monitors the signal interference intensity of all available wireless communication frequency bands at the dock site in real time. The frequency band decision unit compares the intensity of each monitored signal interference with a preset interference threshold. When the intensity of any signal interference is lower than the preset interference threshold, the dynamic frequency hopping unit controls the current wireless communication frequency band to switch to the available frequency band with the lowest corresponding signal interference intensity. And / or, when the intensity of the signal interference in all available wireless communication frequency bands is higher than the preset interference threshold, the dynamic frequency hopping unit controls the current wireless communication frequency band to switch to the available frequency band with the lowest corresponding signal interference intensity and generates network quality warning information.

[0035] In this embodiment of the invention, the multi-network communication module further integrates an interference detection unit, a frequency band decision unit, and a dynamic frequency hopping unit. When the processor calls and executes the computer program, it also performs the following steps: Based on the pre-determined mapping relationship between the communication priorities of business modules and business data, the communication priority of the business data corresponding to the target business module is determined; When multiple different service data are transmitted simultaneously, bandwidth resources are allocated to each service data based on the communication priority of each service data, and service data transmission is carried out according to the bandwidth resources and the available frequency bands after switching.

[0036] The interference detection unit can be a wireless signal detector, an integrated multi-band antenna, etc., used to detect interference signals in specific interference frequency bands, and then accurately locate the frequency, bandwidth, and strength of the interference signals. The frequency band decision unit can be a rule-based intelligent network switch, an embedded processor, etc., used to comprehensively evaluate the interference level, latency, bandwidth, and cost of each available network (such as Wi-Fi, 4G / 5G, satellite), and execute strategies such as "available frequency bands with signal interference strength lower than a preset interference threshold" to automatically switch or aggregate network link frequency bands. The dynamic frequency hopping unit can be an adaptive channel switching controller, used in commercial networks such as Wi-Fi and Bluetooth, to coordinate all devices in the network to uniformly migrate to a new, clean channel within seconds when the current channel quality is detected to be continuously poor or the signal interference strength is lower than a preset interference threshold, thereby getting rid of interference from neighboring router frequency bands.

[0037] Specifically, in an industrial IoT scenario, a handheld or fixed wireless signal detector is deployed. This detector continuously scans the 2.4GHz and 5GHz Wi-Fi bands, generating a spectrum map in real time. When a high-intensity narrowband signal (possibly from a microwave oven or an illegal wireless camera) is detected in a certain band (e.g., 2.412GHz), the bandwidth (e.g., 20MHz), strength (e.g., -50dBm), and duration of the interference signal are immediately recorded. If a rule-based intelligent network switch (e.g., an OpenFlow switch) detects that the interference strength of the Wi-Fi band is > -70dBm and the delay is > 100ms, it triggers a switch to the band with the lowest relative interference strength. Within 3 seconds, the adaptive channel switching controller sends a "channel migration request" to all associated terminals (laptops, IP phones, etc.), directing the devices to synchronously switch to 5GHz channel 149, while simultaneously generating network quality warning information.

[0038] Specifically, the interference detection unit is used to monitor the signal interference intensity of all available wireless communication frequency bands at the dock in real time. The frequency band decision unit is configured to: compare the signal interference intensity with a preset interference threshold; when there is an available frequency band with a signal interference intensity lower than the preset interference threshold, instruct the dynamic frequency hopping unit to switch to the available frequency band with the lowest interference intensity; when the signal interference intensity of all available wireless communication frequency bands is higher than the preset interference threshold, instruct the dynamic frequency hopping unit to switch to the frequency band with the relatively lowest signal interference intensity and generate network quality early warning information.

[0039] Specifically, the multi-network communication module supports at least one primary frequency band and at least one backup frequency band, and under normal circumstances, the primary frequency band is given priority. When the frequency band decision unit determines that a frequency band needs to be switched, it controls the multi-network communication module to enable the corresponding backup frequency band and complete the switch.

[0040] Furthermore, the processor is also configured to: allocate communication priorities to different service data streams according to the real-time requirements of the selected service modules; when multiple service data streams need to be transmitted simultaneously, based on the communication priorities, use a weighted fair queue scheduling strategy to allocate bandwidth resources to each service data stream, and prioritize the transmission of high communication priority service data streams.

[0041] Furthermore, based on the weighted fair queue scheduling strategy, the processor is configured to: establish independent first-in-first-out transmission queues for service data streams with different communication priorities; assign a preset weight value to each transmission queue, wherein the communication priority is positively correlated with the weight value; in each round of bandwidth scheduling, calculate the proportion of bandwidth resources that the transmission queue should be allocated in this round of scheduling based on the current data backlog of each transmission queue and its corresponding weight value; allocate bandwidth to each transmission queue according to the calculated bandwidth resource proportion, ensuring that the queue corresponding to the high-priority service data stream receives a bandwidth share of not less than a first preset proportion, while ensuring that the queue corresponding to the low-priority service data stream receives a bandwidth share of not less than a second preset proportion, wherein the first preset proportion is greater than the second preset proportion. Furthermore, by combining interference detection and dynamic frequency hopping units, along with weighted fair queue scheduling based on service priorities, a multi-layered, adaptive intelligent communication guarantee mechanism is formed. Its beneficial technical effects are: it can intelligently select the optimal or relatively optimal communication frequency band in the complex wireless interference environment of the dock, and proactively issue early warnings in extreme cases, thereby greatly improving the stability and reliability of the communication link; at the same time, by distinguishing service priorities and allocating bandwidth according to weights, it ensures that the transmission of high real-time critical services (such as command issuance and quality loss reporting) is not delayed, which not only optimizes network resource utilization, but also fundamentally guarantees the continuity and efficiency of core operational processes at the dock.

[0042] In this embodiment of the invention, the electronic device further includes a battery management module, a wireless charging receiver unit, and a motion detection module. The battery management module is electrically connected to the processor, the positioning module, the multi-network communication module, and the motion detection module. When the processor calls and executes the computer program, it also performs the following steps: The motion state of the electronic device is detected by the motion state detection module. The static state and static duration of the electronic device are determined based on the rate of change of the real-time position information of the positioning module and the motion state. When the electronic device is in a static state for an extended period of time, and the static duration exceeds a preset first time threshold, the vehicle is determined to be in a static identification state. The battery management module is then controlled to switch the power consumption mode of the positioning module to a preset first power consumption mode, and the multi-network communication module is controlled to shut down all other communication frequency bands except the currently connected frequency band.

[0043] In this embodiment of the invention, the electronic device further includes a battery management module, a wireless charging receiver unit, and a motion detection module. The battery management module is electrically connected to the processor, the positioning module, the multi-network communication module, and the motion detection module. When the processor calls and executes the computer program, it also performs the following steps: The battery level of the electronic device can be detected in real time or periodically. When the battery level is detected to be less than or equal to a preset charging trigger threshold, the battery management module is controlled to activate the wireless charging receiver unit and establish a communication link between the wireless charging receiver unit and the vehicle-mounted wireless charging station at the dock. Based on the communication link, the charging distance and alignment status between the wireless charging receiving unit and the vehicle-mounted wireless charging station at the dock site are detected. When the electronic device is within the charging distance and the alignment state meets the charging requirements, it controls the initiation of the wireless charging process, and during the charging process, it maintains the communication and positioning functions of the multi-network communication module and the positioning module. Specifically, the motion state detection module is used to detect the motion state of the handheld terminal. The motion state detection module includes a gyroscope and an accelerometer; the processor is configured to: acquire three-axis angular velocity data of the handheld terminal through the gyroscope, and acquire three-axis acceleration data through the accelerometer; perform data fusion processing on the three-axis angular velocity data and the three-axis acceleration data to calculate the real-time attitude and displacement changes of the handheld terminal; when the displacement change is continuously lower than a preset static judgment threshold, and the duration exceeds the first preset time threshold, it is determined that the handheld terminal is in a continuously static state. Specifically, the battery management module is configured to perform the following operations: when, based on the position information change rate of the positioning module and the data of the motion state detection module, it is comprehensively determined that the handheld terminal is in a continuously stationary state and the stationary time exceeds a first preset time threshold, it determines that the vehicle is in a stationary recognition state; then, it controls the positioning module to switch to a low-power mode and controls the multi-network communication module to close all other frequency bands except the currently connected frequency band to reduce system power consumption; when the battery level is detected to be less than or equal to a preset low-power charging trigger threshold, it automatically activates the wireless charging receiver unit to enter a pairing state; and detects the distance and alignment status between the wireless charging receiver unit and the vehicle-mounted wireless charging station at the dock site through the communication link established between the wireless charging receiver unit and the station; when it is confirmed that the handheld terminal is placed within the effective charging distance and the alignment accuracy meets the charging requirements, it controls the initiation of the wireless charging process, and during the charging process, it maintains the basic communication and positioning functions of the multi-network communication module and the positioning module to ensure that the dock site operation is not interrupted. Furthermore, through the intelligent sensing and decision-making of equipment status (idle, low power) by the battery management module, precise power consumption control and charging management are achieved. Based on multi-sensor fusion, the idle state is determined and automatically switched to low power mode, effectively extending the terminal's endurance during work breaks. At the same time, by introducing an intelligent charging trigger and docking confirmation mechanism, the reliability and safety of the charging process are ensured, and basic communication and positioning functions are maintained throughout the charging process. Thus, while increasing the overall working time of the equipment per charge, the need for 24 / 7 continuous operation at the dock site is seamlessly guaranteed.

[0044] In this embodiment of the invention, the electronic device further includes a camera module electrically connected to the processor. When the processor calls and executes the computer program, it also performs the following steps: In response to a user's QR code scanning command, the camera module is controlled to scan the QR code image on the vehicle. When the QR code image is a damaged image, the RFID tag of the vehicle is read a second time by the RFID reader to obtain the target vehicle identification information; The target vehicle identification information is compared with the vehicle identification information for consistency. Once the consistency comparison passes, the location module obtains the shooting location information of the quality-damaged image, and packages the quality-damaged image, the target vehicle identification information, the shooting location information, and the shooting timestamp into an encrypted quality-damaged data packet; The encrypted, low-quality data packets are transmitted to the central management system via the multi-network communication module using an end-to-end encryption protocol. Simultaneously, an encrypted backup is stored in the memory until the central management system returns a data reception confirmation instruction, at which point the local encrypted backup is deleted.

[0045] The QR code scanning command can be issued based on specific physical devices on the electronic device, or based on specific touch keys on the human-computer interaction interface displayed on the screen, which will not be elaborated here.

[0046] In detail, the camera module is used to scan the QR code on the vehicle as a backup or auxiliary identification method for RFID identification or to capture images of the dock site operation environment; the processor is also used to: automatically trigger the following linkage operations when the camera module captures a damaged image of the vehicle: read the vehicle's RFID tag a second time through the RFID reader, compare the second reading result with the vehicle identification information obtained from the first scan of the vehicle's RFID tag to verify the consistency of the vehicle's identity; obtain the shooting location information of the current damaged image through the positioning module, and package the damaged image, the vehicle identification information, the shooting location information, and the shooting timestamp to generate an encrypted damaged data packet; the multi-network communication module transmits the damaged data packet to the central management system using an end-to-end encryption protocol, and simultaneously retains an encrypted backup in the memory until the central management system returns a data reception confirmation instruction, at which point the local encrypted backup is deleted to prevent the damaged data packet from being lost or tampered with.

[0047] Specifically, the process of packaging and generating an encrypted lossy data packet includes: the processor generating a one-time session key based on the current lossy event. The seed value of this one-time session key is dynamically combined from the following elements: the hash value of the vehicle identification information (VIN), the precise millisecond value of the shooting timestamp, and a specific decimal place of the current latitude and longitude data obtained from the positioning module; using the one-time session key, a symmetric encryption algorithm is used to encrypt the original data packet consisting of the lossy image, vehicle identification information, shooting location information, and shooting timestamp to obtain an encrypted data body; the processor uses its own unique hardware identifier private key to digitally sign the hash value of the one-time session key and the original data packet to generate a verification signature block; the encrypted data body, the verification signature block, and the public key index information used to indicate the hardware identifier are packaged to generate the final encrypted lossy data packet; wherein, after the multiple network communication modules transmit the encrypted lossy data packet, the central management system can find the corresponding public key through the public key index, verify the signature, and decrypt the encrypted data body, while ensuring that the data has not been tampered with after self-signing by comparing the hash value of the original data packet.

[0048] Furthermore, the implementation process of the end-to-end encryption protocol includes: the handheld terminal and the central management system negotiate and generate a pair of long-term keys that are bound to the terminal hardware and updated periodically through a key exchange protocol based on Physical Unclonable Function (PUF); each time a communication connection is established, the one-time session key is transmitted after asymmetric encryption using the long-term key; in addition to the low-quality data packets encrypted at the application layer, the data transmission layer of the end-to-end encryption protocol encapsulates an additional layer of transport layer encryption, and the key for this transport layer encryption is generated from the temporary parameters of the current communication session, thus achieving double encryption.

[0049] Furthermore, the implementation process of the end-to-end encryption protocol also includes: when transmitting the encrypted data packet with poor quality, the multiple network communication modules divide it into multiple data segments; attach a sequence identifier and a chain checksum calculated based on the content of the previous data segment to each data segment; after receiving the segmented encrypted data segments and completing the transport layer decryption, the central management system must first verify the integrity and correct order of all data segments through the chain checksum before sending the data reception confirmation instruction to the handheld terminal; if any segment fails to be verified, a request is made to retransmit the segment and all subsequent segments to ensure the complete reconstruction of the data packet.

[0050] In this embodiment of the invention, the input device includes a fingerprint recognition unit, which is electrically connected to the processor. When the processor calls and executes the computer program, it also performs the following steps: The fingerprint recognition unit acquires the driver's fingerprint information and matches it with the account login information. When the fingerprint information matches the account login information, the target business module corresponding to the user input data is filtered in the business module selection interface. After filtering the business modules, the associated logs of the fingerprint information, the user input data, and the handheld terminal location are recorded, and the associated logs are synchronized to the traceability database of the central management system through the multi-network communication module.

[0051] In detail, the driver's fingerprint information obtained by the fingerprint recognition unit is bound to the account login information read by the RFID reader. Only when the driver's fingerprint information matches the account login information can the corresponding target business module be selected through the business selection module. After each business operation, the associated log of the driver's fingerprint information, operation content, operation time and handheld terminal location is automatically recorded. The associated log is synchronized to the traceability database of the central management system through the multi-network communication module, so as to realize the full traceability of the driver's operation and avoid account theft or misoperation.

[0052] In this embodiment of the invention, the processor further includes a locally running intelligent auxiliary quality loss classification module. The intelligent auxiliary quality loss classification model pre-stores a lightweight convolutional neural network model. When the processor calls and executes the computer program, it also performs the following steps: The camera module is controlled to scan the quality damage images of the goods vehicle and the local intelligent auxiliary quality damage classification module is invoked; The intelligent auxiliary quality loss classification module uses a preset lightweight convolutional neural network model to perform real-time feature extraction and classification on the quality loss image to obtain the quality loss type of the quality loss image. The quality loss type, the vehicle identification information, and the shooting location information are correlated to obtain three-dimensional correlation data, and the three-dimensional correlation data is packaged into a quality loss data package; The three-dimensional correlation data and the quality loss data packet are transmitted to the central management system.

[0053] In detail, the intelligent auxiliary quality loss classification module pre-stores an optimized, lightweight convolutional neural network model. The convolutional neural network model is obtained by transferring learning and optimizing the pre-trained model using typical quality loss image samples from the dock scene. The optimization includes at least pruning and reparameterizing the network structure of the model to adapt to the computing resources of the handheld terminal, and incorporating an attention mechanism for multi-scale quality loss features to improve the classification accuracy of small-scale or irregular quality loss in the dock environment.

[0054] Specifically, the pruning and reparameterization of the model network structure includes: removing the fully connected classification head obtained by pre-training on the ImageNet dataset from the pre-trained convolutional neural network model that serves as the basic architecture, and truncating the last stage of the model backbone network to reduce the total number of model parameters and computational cost. After the truncated backbone network, a new classification head suitable for quality loss classification tasks is added and reparameterized. The new classification head consists of a global average pooling layer, a random deactivation dropout layer, and a fully connected layer with the number of output nodes matching the number of quality loss types. The attention mechanism for multi-scale quality loss features is fused into the reparameterized backbone network by embedding a convolutional block attention module (CBAM). The CBAM is configured to infer attention weight maps sequentially along the channel and spatial dimensions, and multiply the attention weight maps with the feature maps of the backbone network to adaptively optimize the feature response, thereby enhancing the ability to represent small-scale or irregular quality loss features in the dock environment.

[0055] Furthermore, the intelligent-assisted quality loss classification module employs an optimized, lightweight convolutional neural network model. This model uses a general convolutional neural network (e.g., MobileNetV2, EfficientNet-Lite) pre-trained on a large dataset (e.g., ImageNet) as its backbone. This backbone endows the model with powerful general feature extraction capabilities, serving as a high starting point for subsequent optimization of quality loss identification tasks. Using a pre-trained model effectively leverages transfer learning techniques to overcome the overfitting problem that may arise from training deep models on a limited-scale dock quality loss dataset.

[0056] To achieve efficient operation of the model on handheld devices with limited computing resources, the base model underwent deep pruning and reparameterization. First, the fully connected classification head, designed to adapt to the 1000 categories of ImageNet, was removed from the original pre-trained model because its parameter count was enormous and incompatible with the specific quality loss classification task. Second, the final stage of the model's backbone network was truncated (e.g., removing or simplifying several deep convolutional blocks in the original network), because while deep features are abstract, they are computationally expensive, and the features of dock quality loss can be effectively captured at an appropriate network depth. This pruning significantly reduced the overall number of parameters and floating-point operations (FLOPs) of the model, enabling real-time or near-real-time inference on platforms with limited computing power.

[0057] After pruning the backbone network, it was reparameterized and a new classification head specifically designed for quality loss classification tasks was added. This new classification head is streamlined and efficient, consisting of three layers: First, a Global Average Pooling Layer compresses the two-dimensional feature map extracted by the backbone network into a one-dimensional feature vector, significantly reducing parameters and enhancing the model's robustness to feature space locations. Next, a Dropout Layer randomly disables the output of some neurons during model training, an effective regularization technique that prevents overfitting of the training data and improves its generalization ability in the complex environment of a real dock. Finally, a Fully Connected Layer has an output node count strictly matched to the number of quality loss types (e.g., scratches, dents, rust, etc.) to be identified in this application scenario; the output of this layer is the model's predicted probability distribution for each category of the input image.

[0058] Furthermore, to further improve the model's classification accuracy for common small-scale, irregular quality defects (such as minor scratches and irregular dents) in the dock environment, a Convolutional Block Attention Module (CBAM) is embedded after the key feature extraction layer in the reparameterized backbone network. CBAM is an advanced attention mechanism whose workflow consists of two sequential, complementary inference stages: First, the channel attention submodule compresses global spatial information to generate a weight coefficient for each feature channel, enabling the model to learn which channel features are more important for quality defect identification. Subsequently, the spatial attention submodule calculates a two-dimensional attention weight map along the spatial dimensions (i.e., the height and width of the feature map) based on the features output from the previous stage, enabling the model to learn which spatial locations on the feature map might contain key quality defect information. Finally, the attention weight maps inferred from these two dimensions are multiplied sequentially with the feature map of the backbone network, thereby achieving adaptive optimization of the feature response and effectively enhancing the representation ability of subtle, irregular quality defect features. The convolutional neural network model, through the collaborative design of a triple optimization strategy of backbone network pruning, dedicated classification head reparameterization, and attention mechanism embedding, successfully achieves a balance between lightweight model (to adapt to terminal computing power constraints) and high classification accuracy (to solve specific business problems).

[0059] Furthermore, by deploying a dedicated convolutional neural network model optimized with lightweight and attention mechanisms locally on handheld terminals, real-time, high-precision intelligent identification and classification of vehicle quality damage at the port was achieved. This not only overcomes network dependence through terminal-side AI processing, improving the real-time performance and reliability of quality damage assessment, but also achieves high-precision classification of small-scale, irregular quality damage under limited computing power using optimized models. Moreover, by associating three-dimensional data of quality damage type, vehicle identity, and geographical location, a precisely traceable quality damage information package is constructed, thereby ensuring the integrity and credibility of data at the source and providing timely and accurate decision-making basis for port quality management.

[0060] In a further embodiment, the positioning module integrates a yard area coordinate calibration unit, and when the processor calls and executes the computer program, it also performs the following steps: The multi-network communication module receives and stores the dock yard zoning coordinate map issued by the central management system. At any real-time location after the electronic device enters the yard operation area, the original positioning coordinates output by the positioning module are obtained; The original positioning coordinates are matched and compared with the standard coordinates of the corresponding positions in the dock yard zoning coordinate map; Once a match is found, the coordinate distance between the original positioning coordinates and the standard coordinates is calculated. When the coordinate distance exceeds a preset tolerance threshold, a calibration procedure is triggered; The original positioning coordinates are corrected using the calibration procedure, the corrected original positioning coordinates are associated with preset business data, and then sent back to the central management system. In detail, the positioning module also integrates a yard area coordinate calibration unit; the processor is configured to: receive and store the terminal yard zoning coordinate map issued by the central management system through a multi-network communication module; obtain the current original positioning coordinates generated by the positioning module at any real-time location after the handheld terminal enters the yard operation area; match and compare the current original positioning coordinates with the standard coordinates of the corresponding location in the yard zoning coordinate map, and calculate the coordinate distance between the two as the deviation; when the deviation exceeds a preset tolerance threshold, automatically trigger the calibration procedure; the calibration procedure includes: controlling the handheld terminal to scan at least three preset fixed positioning beacons around its location; for each beacon, calculating the distance from the handheld terminal to the beacon by measuring the signal transmission time or signal strength parameters; based on the at least three distances, using a triangulation algorithm to calculate the calibrated precise position coordinates, and using the calibrated precise position coordinates to correct the original positioning coordinates; associating the corrected position coordinates with business data and transmitting them back to the central management system. Furthermore, the handheld terminal is configured for use in on-site operations at the automobile terminal, and the supported business modules include unloading into the terminal, loading out of the terminal, railway port entry, railway port exit, highway port entry, highway port exit, vehicle relocation, and damage handling.

[0061] As can be seen, in the above solution, by quickly identifying vehicles through RFID and ensuring the real-time and reliable data link through multi-network communication, the automated collection and real-time transmission of on-site operation data are realized, improving operational efficiency and avoiding manual data entry errors. By tightly binding precise positioning information with each business operation data, the central management system can accurately track and visualize the vehicle location and operation status throughout the entire process, effectively solving the problem of chaotic yard management caused by inaccurate positioning. This terminal integrates the scattered identification, communication, and positioning functions into an efficient business closed-loop tool, improving the intelligence level, operational accuracy, and overall operational efficiency of on-site operations at the automobile terminal.

[0062] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0063] ReferenceFigure 2 The diagram shown is a flowchart illustrating a multi-network communication positioning method according to an embodiment of the present invention. This method is applicable to electronic devices using multi-network communication positioning, and is characterized by comprising: S1. Scan the vehicle RFID tag of the commercial vehicle with the RFID reader to obtain vehicle identification information; S2. Establish a connection with the central management system through the multi-network communication module, send the user's account login information to the central management system based on the connected multi-network communication module, and receive the login status of the central management system. S3. Display a preset service module selection interface on the screen of the electronic device, and receive user input data through the input device, and filter the target service module corresponding to the user input data in the service module selection interface; S4. Using the multi-network communication module, obtain detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status, and display it on the display screen; S5. Obtain the real-time location information of the electronic device through the positioning module, and match the real-time location information with the dock yard partition coordinates in the vehicle details; S6. Based on the matching result, determine the target location information of the electronic device, and transmit the business information of the target business module, the vehicle identification information, and the target location information back to the central management system in real time through the multi-network communication module. In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described method for multi-network communication positioning, wherein the computer program, when executed by a processor, performs the following steps: The vehicle identification information is obtained by scanning the vehicle's RFID tag with the RFID reader / writer. The multi-network communication module establishes a connection with the central management system, and sends the user's account login information to the central management system based on the connected multi-network communication module, and receives the login status from the central management system. The electronic device displays a preset service module selection interface on its screen and receives user input data through the input device. The user input data is then filtered in the service module selection interface to select the target service module. The multi-network communication module retrieves detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status, and displays it on the display screen. The positioning module obtains the real-time location information of the electronic device and matches the real-time location information with the dock yard partition coordinates in the vehicle details. Based on the matching results, the target location information of the electronic device is determined, and the business information of the target business module, the vehicle identification information, and the target location information are transmitted back to the central management system in real time through the multi-network communication module. It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art will understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed to complete all or part of the functions described above.

[0066] It should be noted that if any software tools or components not belonging to our company appear in the embodiments of this application, they are merely for illustrative purposes and do not represent actual use.

[0067] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. An electronic device for multi-network communication positioning, characterized in that, The electronic device for multi-network communication positioning includes: Memory is used to store computer programs that can be accessed and executed by the processor. RFID reader / writer, used to scan the RFID tags on commercial vehicles; Multiple network communication modules are used to establish connections with the central management system; The display screen is configured to show the business module selection interface and is used to display detailed vehicle information obtained from the central management system. Input devices are used to receive user input and filter business modules in the business module selection interface; A positioning module is used to obtain the real-time location information of the electronic device; The processor, communicatively connected to the memory, the RFID reader / writer, the multi-network communication module, the positioning module, the display screen, and the input device, is used to call and execute the computer program to perform the following steps: The vehicle identification information is obtained by scanning the vehicle's RFID tag with the RFID reader / writer. The multi-network communication module establishes a connection with the central management system, and sends the user's account login information to the central management system based on the connected multi-network communication module, and receives the login status from the central management system. The electronic device displays a preset service module selection interface on its screen and receives user input data through the input device. The user input data is then filtered in the service module selection interface to select the target service module. The multi-network communication module retrieves detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status, and displays it on the display screen. The positioning module obtains the real-time location information of the electronic device and matches the real-time location information with the dock yard partition coordinates in the vehicle details. Based on the matching results, the target location information of the electronic device is determined, and the business information of the target business module, the vehicle identification information, and the target location information are transmitted back to the central management system in real time through the multi-network communication module.

2. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The electronic device further includes an environmental sensing module electrically connected to the processor. The environmental sensing module includes a light sensor. When the processor calls and executes the computer program, it also performs the following steps: The light sensor is used to detect the light intensity at the dock site in real time or at regular intervals. When the light intensity is in the first range of the preset light intensity range, control the display screen to switch to low light mode, and / or, when the light intensity is in the third range of the preset light intensity range, control the display screen to switch to high light mode, and / or, when the light intensity is in the fourth range of the preset light intensity range, control the display screen to switch to nighttime low interference patrol mode. and When the light intensity is in the second range of the preset light intensity range, the display screen is controlled to switch to standard mode.

3. The electronic device for multi-network communication positioning as described in claim 2, characterized in that, The environmental sensing module also includes a rain sensor. When the processor calls and executes the computer program, it also performs the following steps: The rain sensor can detect the rainwater adhesion status at the dock site in real time or at regular intervals. When the rain sensor detects rainwater adhering to the surface, it triggers a rainwater touch control strategy, dynamically adjusts the touch response threshold based on the rainwater touch control strategy, and adjusts the touch area of ​​the display screen.

4. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The multi-network communication module also integrates an interference detection unit, a frequency band decision unit, and a dynamic frequency hopping unit. When the processor calls and executes the computer program, it also performs the following steps: When the frequency band status of the preset target frequency band is in normal operation, the multi-network communication module is controlled to enable the preset primary frequency band; When the frequency band status of the preset target frequency band is in the frequency band switching state, the interference detection unit monitors the signal interference intensity of all available wireless communication frequency bands at the dock site in real time. The frequency band decision unit compares the intensity of each monitored signal interference with a preset interference threshold. When the intensity of any signal interference is lower than the preset interference threshold, the dynamic frequency hopping unit controls the current wireless communication frequency band to switch to the available frequency band with the lowest corresponding signal interference intensity. And / or, when the intensity of the signal interference in all available wireless communication frequency bands is higher than the preset interference threshold, the dynamic frequency hopping unit controls the current wireless communication frequency band to switch to the available frequency band with the lowest corresponding signal interference intensity and generates network quality warning information.

5. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, When the processor calls and executes the computer program, it also performs the following steps: Based on the pre-determined mapping relationship between the communication priorities of business modules and business data, the communication priority of the business data corresponding to the target business module is determined; When multiple different service data are transmitted simultaneously, bandwidth resources are allocated to each service data based on the communication priority of each service data, and service data transmission is carried out according to the bandwidth resources and the available frequency bands after switching.

6. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The electronic device further includes a battery management module, a wireless charging receiver unit, and a motion detection module. The battery management module is electrically connected to the processor, the positioning module, the multi-network communication module, and the motion detection module. When the processor calls and executes the computer program, it also performs the following steps: The motion state of the electronic device is detected by the motion state detection module. The static state and static duration of the electronic device are determined based on the rate of change of the real-time position information of the positioning module and the motion state. When the electronic device is in a static state for an extended period of time, and the static duration exceeds a preset first time threshold, the vehicle is determined to be in a static identification state. The battery management module is then controlled to switch the power consumption mode of the positioning module to a preset first power consumption mode, and the multi-network communication module is controlled to shut down all other communication frequency bands except the currently connected frequency band.

7. The electronic device for multi-network communication positioning as described in claim 6, characterized in that, When the processor calls and executes the computer program, it also performs the following steps: The battery level of the electronic device can be detected in real time or periodically. When the battery level is detected to be less than or equal to a preset charging trigger threshold, the battery management module is controlled to activate the wireless charging receiver unit and establish a communication link between the wireless charging receiver unit and the vehicle-mounted wireless charging station at the dock. Based on the communication link, the charging distance and alignment status between the wireless charging receiving unit and the vehicle-mounted wireless charging station at the dock site are detected. When the electronic device is within the charging distance and the alignment state meets the charging requirements, it controls the initiation of the wireless charging process, and during the charging process, it maintains the communication and positioning functions of the multi-network communication module and the positioning module.

8. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The electronic device further includes a camera module electrically connected to the processor. When the processor calls and executes the computer program, it also performs the following steps: In response to a user's QR code scanning command, the camera module is controlled to scan the QR code image on the vehicle. When the QR code image is a damaged image, the RFID tag of the vehicle is read a second time by the RFID reader to obtain the target vehicle identification information; The target vehicle identification information is compared with the vehicle identification information for consistency. Once the consistency comparison passes, the location module obtains the shooting location information of the quality-damaged image, and packages the quality-damaged image, the target vehicle identification information, the shooting location information, and the shooting timestamp into an encrypted quality-damaged data packet; The encrypted, low-quality data packets are transmitted to the central management system via the multi-network communication module using an end-to-end encryption protocol. Simultaneously, an encrypted backup is stored in the memory until the central management system returns a data reception confirmation instruction, at which point the local encrypted backup is deleted.

9. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The input device includes a fingerprint recognition unit, which is electrically connected to the processor. When the processor calls and executes the computer program, it also performs the following steps: The fingerprint recognition unit acquires the driver's fingerprint information and matches it with the account login information. When the fingerprint information matches the account login information, the business module corresponding to the user input data is filtered in the business module selection interface. After filtering the business modules, the association logs of the fingerprint information, the user input data, and the location of the electronic device are recorded, and the association logs are synchronized to the traceability database of the central management system through the multi-network communication module.

10. The electronic device for multi-network communication positioning as described in claim 1, characterized in that, The positioning module integrates a yard area coordinate calibration unit. When the processor calls and executes the computer program, it also performs the following steps: The multi-network communication module receives and stores the dock yard zoning coordinate map issued by the central management system. At any real-time location after the electronic device enters the yard operation area, the original positioning coordinates output by the positioning module are obtained; The original positioning coordinates are matched and compared with the standard coordinates of the corresponding positions in the dock yard zoning coordinate map; Once a match is found, the coordinate distance between the original positioning coordinates and the standard coordinates is calculated. When the coordinate distance exceeds a preset tolerance threshold, a calibration procedure is triggered; The original positioning coordinates are corrected using the calibration procedure, the corrected original positioning coordinates are associated with preset business data, and then sent back to the central management system.

11. A method for multi-network communication positioning, applicable to the electronic device for multi-network communication positioning as described in any one of claims 1 to 10, characterized in that, The method includes: The vehicle identification information is obtained by scanning the vehicle's RFID tag with the RFID reader / writer of the electronic device. The electronic device establishes a connection with the central management system through the multi-network communication module, sends the user's account login information to the central management system based on the connected multi-network communication module, and receives the login status from the central management system. The electronic device displays a preset service module selection interface on its screen and receives user input data through its input device. The target service module corresponding to the user input data is then filtered in the service module selection interface. The electronic device obtains detailed vehicle information of the commercial vehicle from the central management system based on the vehicle identification information and the login status through the multi-network communication module of the electronic device, and displays it on the display screen. The real-time location information of the electronic device is obtained through the positioning module of the electronic device, and the real-time location information is matched with the dock yard partition coordinates in the vehicle details. Based on the matching results, the target location information of the electronic device is determined, and the business information of the target business module, the vehicle identification information, and the target location information are transmitted back to the central management system in real time through the multi-network communication module.

12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the multi-network communication positioning method as described in claim 11.

Images