Method for data transmission in a blind area and blind area data transmission system applying the same

Abstract

The application relates to the technical field of data processing, in particular to a blind area data transmission method and a blind area data transmission system applying the same. Blind area data of offline excavators in a mining area are collected, and the blind area data are transmitted to a mobile signal vehicle, so that after receiving the blind area data, a preset area with good mobile communication signals is opened out of the mining area, blind area data are retransmitted to an Internet of Things platform. The application greatly enables offline excavators to stay in the mining area for as much time as possible, without moving out of the mining area to ensure the operation efficiency of the offline excavators, and meanwhile, the working state and working condition of the offline excavators can be understood within a certain time range, so that the management personnel of the Internet of Things terminal can analyze the operation condition in the mining area and subsequent management deployment.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a blind zone data transmission method and a blind zone data transmission system using the same. Background Technology

[0002] With the popularization of the Internet of Things (IoT), more and more devices can directly connect to the platform for information interaction, making it convenient for operators and technicians to remotely access and analyze data. However, in the existing application scenarios of construction machinery, in remote mines where the signal is poor or there is no mobile communication signal, it is difficult to transmit the operation information of the excavator to the IoT platform in real time. Generally, it is necessary to wait for the excavator to finish its work and leave the mining area before the data can be transmitted. However, the operation cycle of the excavator is long, and the cost of leaving the mining area is high and the movement is inconvenient, which makes it impossible to upload the operation information of the excavator to the IoT platform. It is impossible to know the current operation progress and current status of the equipment, which hinders data analysis and makes it extremely inconvenient for the backend to track the equipment's operating status. Summary of the Invention

[0003] To overcome the shortcomings of existing technologies, this invention provides a blind zone data transmission method and a blind zone data transmission system using the same method. By using a mobile signal vehicle as a data transmission carrier, the offline excavator can stay in the mining area for as long as possible without having to move out of the mining area, thus ensuring the operating efficiency of the offline excavator. At the same time, the working status and operation of the offline excavator can be understood within a certain time range, which is convenient for the management personnel of the Internet of Things terminal to analyze the operation in the mining area and make subsequent management deployments.

[0004] A first aspect of this application provides a blind zone data transmission method applied to a blind zone data transmission system, the blind zone data transmission system including a mobile signal vehicle, multiple offline excavators, and an Internet of Things (IoT) platform, the method comprising:

[0005] The mobile signal vehicle is paired and connected with the multiple offline excavators in the mining area;

[0006] Once the target offline excavator is confirmed to be paired with the mobile signal vehicle, it transmits the corresponding blind zone data to the mobile signal vehicle according to the first preset time period and the first data protocol format. The target offline excavator can be any one of the multiple offline excavators.

[0007] Once the mobile signal vehicle has determined that the blind spot data collection is complete, it will travel to the preset area.

[0008] The mobile signal vehicle acquires the signal strength of the preset area and transmits the blind spot data to the Internet of Things platform according to the second data protocol format based on the signal strength.

[0009] In an optional implementation, the mobile signal vehicle includes a first IoT terminal, and each of the plurality of offline excavators includes a second IoT terminal. The pairing and connection between the mobile signal vehicle and the plurality of offline excavators includes:

[0010] The mobile signal vehicle activates the wireless network function through the first IoT terminal and broadcasts the service set identifier;

[0011] When the target offline excavator finds the service set identifier through the second IoT terminal, it sends a connection command to the mobile signal vehicle, wherein the connection command includes the target excavator number of the target offline excavator.

[0012] The mobile signal vehicle establishes a pairing connection with the target offline excavator based on the target excavator number through the first IoT terminal.

[0013] In an optional implementation, the method further includes:

[0014] The first IoT terminal obtains the location coordinates of the mobile signal vehicle according to a second preset time interval, and obtains a first set of location coordinates;

[0015] The first IoT terminal calculates the speed of the mobile signal vehicle based on the coordinates of the first target positioning point, wherein the coordinates of the first target positioning point are the coordinates of three consecutive positioning points in the first set of positioning point coordinates;

[0016] When the first IoT terminal determines that the driving speed is less than a preset speed threshold, it removes the coordinates of the first target positioning point from the first positioning point coordinate set to obtain the second positioning point coordinate set.

[0017] The first IoT terminal determines the included angle of the coordinates of the second target positioning point, wherein the coordinates of the second target positioning point are the coordinates of three consecutive positioning points in the second positioning point coordinate set;

[0018] When the first IoT terminal determines that the included angle is less than a preset included angle threshold, it determines that the mobile signal vehicle performs a reversing action once.

[0019] In an optional implementation, the method further includes:

[0020] The IoT platform determines the unloading frequency of the mobile signal vehicle based on the mobile signal vehicle performing one reversing action;

[0021] The IoT platform determines the operating efficiency of the multiple offline excavators based on the unloading frequency.

[0022] In an optional implementation, transmitting the blind zone data to the IoT platform based on the signal strength according to a second data protocol format includes:

[0023] The mobile signal vehicle determines whether to transmit the blind zone data to the Internet of Things platform according to the second data protocol format based on the signal strength and the preset signal strength segmentation interval. The preset signal strength segmentation interval includes multiple signal strength threshold intervals, and the multiple signal strength threshold intervals include a first signal strength threshold interval and a second signal strength threshold interval.

[0024] When the mobile signal vehicle determines that the signal strength is within the first signal strength threshold range, it disconnects the communication connection with the Internet of Things platform and does not perform the step of transmitting the blind zone data to the Internet of Things platform according to the second data protocol format.

[0025] When the mobile signal vehicle determines that the signal strength is within the second signal strength threshold range, it performs the step of transmitting the blind zone data to the Internet of Things platform according to the second data protocol format.

[0026] In an optional implementation, the method further includes:

[0027] The target offline excavator determines the travel time of the mobile signal vehicle to the preset area;

[0028] The target offline excavator determines the minimum time period of the first preset time period based on the travel time.

[0029] In an optional implementation, the first data protocol format includes: a packet header, the total data length, the excavator number of the target offline excavator, the blind zone data, a data integrity check value, and a packet tail. The packet header occupies 1 byte, the total data length occupies 2 bytes, the excavator number occupies 8 bytes, the blind zone data occupies N bytes, where N is determined according to the actual length of the blind zone data, the data integrity check value occupies 1 byte, and the packet tail occupies 1 byte.

[0030] In an optional implementation, the second data protocol format includes: a packet header, the total data length, the vehicle number of the mobile signal vehicle, the vehicle data of the mobile signal vehicle, a data integrity check value, and a packet tail. The packet header occupies 1 byte, the total data length occupies 2 bytes, the vehicle number occupies 8 bytes, the vehicle data occupies M bytes, where M is determined according to the actual length of the vehicle data, the data integrity check value occupies 1 byte, and the packet tail occupies 1 byte.

[0031] A second aspect of this application provides a blind zone data transmission system, the system comprising:

[0032] Mobile signal vehicle, multiple offline excavators, and an IoT platform;

[0033] The mobile signal vehicle is used to pair and connect with the multiple offline excavators;

[0034] The plurality of offline excavators are used to transmit the corresponding blind zone data to the mobile signal vehicle according to the first data protocol format after it is determined that they are paired with the mobile signal vehicle.

[0035] The mobile signal vehicle is also used to travel to a preset area after it is determined that the blind spot data collection is completed;

[0036] The mobile signal vehicle is also used to acquire the signal strength of the preset area and transmit the blind spot data to the Internet of Things platform according to the second data protocol format based on the signal strength.

[0037] In an optional implementation, the IoT platform is used for:

[0038] Obtain the coordinates of the positioning point of the mobile signal vehicle;

[0039] Based on the coordinates of the positioning point, it is determined whether the moving signal vehicle performs a reversing action once.

[0040] In summary, the blind zone data transmission method and system provided in this application pair and connect with multiple offline excavators in the mining area via a mobile signal vehicle. Once pairing is complete, the offline excavators transmit their corresponding blind zone data to the mobile signal vehicle according to a first preset time period and a first data protocol format. The mobile signal vehicle acts as an intermediary for data transmission, collecting blind zone data from the offline excavators and transmitting it to the IoT platform. After the offline excavators complete data transmission, the mobile signal vehicle travels to a preset area and transmits data based on signal strength and a second data protocol format, ensuring reliable data transmission without interfering with the operation of the offline excavators. This allows the IoT platform to receive the blind zone data and perform further analysis and processing, ensuring not only the long-term operational efficiency of the offline excavators in the mining area but also enabling real-time monitoring and management of the offline excavators' working status and conditions, providing strong support for the overall operation of the mining area. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the structure of a blind zone data transmission system shown in an embodiment of this application;

[0042] Figure 2 This is a schematic diagram illustrating a connection method of a blind zone data transmission system according to an embodiment of this application;

[0043] Figure 3This is a flowchart illustrating a blind zone data transmission method according to an embodiment of this application. Detailed Implementation

[0044] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0045] The following will clearly and completely describe the concept, specific structure, and technical effects of the present invention in conjunction with embodiments and accompanying drawings, so as to fully understand the purpose, features, and effects of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are all within the scope of protection of the present invention. Furthermore, all connections / linkages involved in the patent do not simply refer to direct contact between components, but rather to the ability to form a better connection structure by adding or reducing connecting accessories according to specific implementation conditions. The various technical features in this invention can be combined interactively without contradicting each other.

[0046] Reference Figure 1 The diagram shown is a schematic representation of a blind zone data transmission system according to an embodiment of this application.

[0047] The blind zone data transmission system 1 includes a mobile signal vehicle 10 and multiple offline excavators 20. The mobile signal vehicle 10 is equipped with a mining card, and both the mining card and the offline excavators 20 are equipped with an Internet of Things (IoT) terminal. The IoT terminal has WiFi functionality and is used to establish a communication connection between the mobile signal vehicle 10 and the offline excavators 20.

[0048] Refer to together Figure 2 As shown, in some embodiments, the mobile signal vehicle 10 serves as a networking device and is used in AP mode, while the offline excavator 20 can serve as a STA terminal. In this mode, the mobile signal vehicle 10 and the offline excavator 20 are paired in a one-to-many connection, thereby transmitting blind zone data to each of the offline excavators 20 in the mining area.

[0049] In some embodiments, the mobile signal vehicle 10 can be a mobile vehicle, such as a mining truck. After establishing a communication connection between the mining truck and multiple offline excavators 20, the mining truck acquires the blind spot data of each offline excavator 20. After receiving the blind spot data, the mining truck drives out of the mining area to an area with good mobile communication signal to retransmit the blind spot data.

[0050] The blind zone data transmission system 1 also includes an Internet of Things (IoT) platform 30. When the mobile signal vehicle 10 leaves the mining area and enters an area with good mobile communication signal, a data transmission command is sent to the mobile signal vehicle 10. Upon receiving the transmission command, the mobile signal vehicle 10 transmits the acquired blind zone data to the IoT platform 30. This allows the IoT platform 30 to determine the working status and condition of the offline excavator 20 based on the blind zone data, facilitating the analysis of the operation of each offline excavator in the mining area and subsequent management deployment by the management personnel of the IoT platform 30. Alternatively, when the mobile signal vehicle 10 detects that the current signal strength is greater than a preset signal strength threshold, it actively transmits the blind zone data of the offline excavator 20 to the IoT platform 30.

[0051] Reference Figure 3 The diagram shown is a flowchart illustrating a blind zone data transmission method according to an embodiment of this application. The blind zone data transmission method is applied to a blind zone data transmission system, which includes a mobile signal vehicle, multiple offline excavators, and an Internet of Things (IoT) platform. The blind zone data transmission method includes the following steps.

[0052] S31, the mobile signal vehicle pairs up and connects with the multiple offline excavators in the mining area.

[0053] In remote mines where mobile signal is poor or nonexistent, offline excavators cannot transmit blind zone data to the terminal's IoT platform when they collect the corresponding blind zone data. Therefore, this application embodiment uses a mobile signal vehicle as an intermediate carrier to acquire blind zone data of offline excavators within the mining area. When the mobile signal vehicle leaves the mining area, it transmits the acquired blind zone data to the IoT platform.

[0054] In some embodiments, each offline excavator is equipped with an IoT terminal (to easily distinguish the IoT terminal installed in the mobile signal vehicle, the IoT terminal installed in the mobile signal vehicle is referred to as the first IoT terminal, and the IoT terminal installed in the offline excavator is referred to as the second IoT terminal). The second IoT terminal is installed as an electronic device inside the offline excavator. The signal line, power line, and data bus of the offline excavator are connected to the second IoT terminal, which serves as the data source for the second IoT terminal to collect blind zone data of the offline excavator. That is, the blind zone data of the corresponding offline excavator is collected through the second IoT terminal installed inside the offline excavator. The blind zone refers to the blind area where the data collected by the second IoT terminal installed inside the offline excavator is not available. The blind zone data refers to the operating condition data of the offline excavator for a certain period of time when it is working in the mine, which may include the current speed of the excavator, the cumulative working time of the excavator, the current power-on working time of the excavator, the cumulative fuel consumption of the excavator, the current fuel consumption of the excavator, the internal battery power voltage of the excavator, and abnormal condition data of the excavator arm, etc.

[0055] In an optional implementation, the mobile signal vehicle is paired with the plurality of offline excavators, including:

[0056] The mobile signal vehicle activates the wireless network function through the first IoT terminal and broadcasts the service set identifier;

[0057] When the target offline excavator finds the service set identifier through the second IoT terminal, it sends a connection command to the mobile signal vehicle, wherein the connection command includes the target excavator number of the target offline excavator.

[0058] The mobile signal vehicle establishes a pairing connection with the target offline excavator based on the target excavator number through the first IoT terminal.

[0059] Both the first and second IoT terminals have WiFi capabilities. The mobile signal vehicle (e.g., a mining truck) acts as an Access Point (AP), responsible for establishing and maintaining the wireless network. The offline excavator is configured as a Station (STA), connecting to the wireless network established by the mobile signal vehicle. Specifically, the mobile signal vehicle enables its wireless network function and broadcasts a Service Set Identifier (SSID). Furthermore, encryption can be added to the broadcast SSID so that the offline excavator can discover and connect to the wireless network created by the mobile signal vehicle. (See also...) Figure 2 Offline excavator 1 (STA) first attempts to scan for surrounding wireless networks and finds the SSID broadcast by the mining card (AP). Based on the encryption method provided by the mining card (AP), it enters the correct password or key and then attempts to connect to the mining card's wireless network. At this time, offline excavator 1 (STA) can send a connection command carrying the corresponding excavator number to the mining card (AP) so that the mining card (AP) can identify offline excavator 1 (STA) and determine which offline excavator has successfully established a pairing connection. Once the connection is successful, a stable wireless network connection is established between offline excavator 1 and the mining card (AP). Simultaneously, offline excavators 2 and 3 also discover and connect to the mining card (AP)'s wireless network using the same network connection method as offline excavator 1. After a successful connection, each offline excavator maintains communication with the mining card (AP) for subsequent data transmission and control command reception.

[0060] In some embodiments, before activating the wireless network, the mobile signal vehicle can perform a self-test to ensure that the communication module (such as the WiFi module) is in normal working order. It can also configure the mobile signal vehicle's communication parameters, including network frequency band and communication protocol, to ensure compatibility with the offline excavator and IoT platform. Simultaneously, when the offline excavator is in pairing mode, it should ensure that its communication module (such as the WiFi module) is activated and in a discoverable state.

[0061] By introducing a mobile signal vehicle as an intermediate carrier, the problem of offline excavators in remote mining areas being unable to transmit blind spot data to the Internet of Things (IoT) platform due to poor or no signal is solved. Furthermore, by using IoT terminals to pair and connect the mobile signal vehicle with the offline excavator, blind spot data can be effectively collected and transmitted, improving the efficiency and accuracy of mine operation data management.

[0062] S32, after the target offline excavator has determined that it is paired with the mobile signal vehicle, it transmits the corresponding blind zone data to the mobile signal vehicle according to the first preset time period and the first data protocol format.

[0063] The target offline excavator is any one of the multiple offline excavators.

[0064] Once the offline excavator and the mobile signal vehicle are paired and connected, meaning a communication connection is established, the mobile signal vehicle can collect blind spot data from each successfully paired offline excavator within the mining area. Specifically, the offline excavator transmits its blind spot data, stored in a first IoT terminal, to the mobile signal vehicle according to a first preset time period and a first data protocol format. The first preset time period is a time interval including a minimum time period and a maximum time period. The minimum time period is determined by the travel time of the mobile signal vehicle to the preset area, while the maximum time period can be configured by on-site personnel or the platform operator.

[0065] In this configuration, after successful pairing and connection, the blind zone data of each offline excavator is transmitted to the mobile signal vehicle in parallel. The mobile signal vehicle can determine which offline excavator the acquired blind zone data originates from based on the excavator's ID. The excavator ID is transmitted to the mobile signal vehicle along with the blind zone data according to the first data protocol format. The first data protocol format is a conventional protocol. In this embodiment, the first data protocol format includes: a packet header, the total data length, the excavator ID of the target offline excavator, the blind zone data of the target offline excavator, a data integrity check value, and a packet tail. The packet header occupies 1 byte, the total data length occupies 2 bytes, the excavator ID occupies 8 bytes, the blind zone data occupies N bytes, where N is determined based on the actual length of the blind zone data, the data integrity check value occupies 1 byte, and the packet tail occupies 1 byte.

[0066] In one optional implementation, both the offline excavator and the mobile signal vehicle employ positioning technology to pinpoint the mobile signal vehicle's location and track the offline excavator's operation using the location information, with sub-meter accuracy. Specifically, the mobile signal vehicle can plan its travel path from its current location (where it collects blind zone data from the offline excavator) to a preset area based on the mining area map and road conditions. During the mobile signal vehicle's journey, its position changes are monitored in real time using a positioning device (e.g., RTK high-precision BeiDou positioning), the distance between the mobile signal vehicle and the preset area is calculated, and the arrival time is predicted based on the current speed and road conditions. When the mobile signal vehicle reaches the preset area, the total travel time from departure to arrival is recorded as the minimum time period for the first preset time cycle. For example, assuming the mobile signal vehicle's travel time to the preset area is 1 hour, the time is configured with 1 hour as the minimum time cycle unit. Furthermore, assuming the first preset time cycle is set to 6 hours, meaning blind zone data from each offline excavator is collected over a 6-hour period, the data length transmitted from the offline excavator to the mobile signal vehicle each time is the blind zone data within 6 hours.

[0067] It should be noted that the first preset time period can be freely set according to the configuration and scheduling of the blind spot data collection site.

[0068] If the data packet format is incorrect, it may lead to problems such as data parsing errors, data loss, or data corruption, thus affecting subsequent data processing and analysis. Therefore, after determining the first preset time period and the first data protocol format, the offline excavator transmits the blind zone data corresponding to the first preset time period to the mobile signal vehicle according to the first data protocol format. The mobile signal vehicle can receive and store the blind zone data, and simultaneously perform preliminary verification and validation of the blind zone data. Specifically, after receiving the blind zone data, the mobile signal vehicle first verifies whether the blind zone data meets the correct first data protocol format. If it meets the first data protocol format, it then verifies whether the blind zone data is complete. Specifically, the mobile signal vehicle first parses the received blind zone data packet. According to the definition of the first data protocol format, it sequentially checks the packet header, total data length, excavator number, blind zone data, data integrity check value, and packet tail field. By comparing the number of bytes in each field with the expected value, as well as the order and logical relationship between the fields, it determines whether the data packet conforms to the first data protocol format. After verifying that the data packet format is correct, the mobile signal vehicle will further calculate the data integrity check value and compare the calculated check value with the data integrity check value provided in the data packet. If the two match, the blind zone data is considered to be complete; if the two do not match, it is considered that the blind zone data may have been erroneous or lost during transmission.

[0069] By implementing the above optional methods and verifying the data packet format, it can be ensured that the received data conforms to expectations, providing a reliable foundation for subsequent data processing and analysis, improving the reliability and accuracy of data transmission, and reducing the risk of data errors and loss due to format errors. Furthermore, verifying data integrity ensures that the received data in blind spots is accurate, similarly providing a reliable data source for subsequent data processing and analysis, improving the security and reliability of data transmission, and preventing malicious tampering or damage to data during transmission.

[0070] In some embodiments, when the communication module of an offline excavator malfunctions, the faulty offline excavator cannot transmit blind zone data values ​​to the mobile signal vehicle. That is, the mobile signal vehicle (AP) fails to interact with the faulty offline excavator regarding blind zone data and cannot transmit data through other means. In other words, if the offline excavator actively transmits blind zone data to the mobile signal vehicle, but malfunctions, it cannot actively transmit blind zone data, however, this does not affect the blind zone data transmission of other normally operating offline excavators.

[0071] S33, Once the blind zone data collection is completed, the mobile signal vehicle will travel to the preset area.

[0072] In some embodiments, the mobile signal vehicle needs to define the conditions for determining the preset area, such as signal coverage requirements (i.e., the preset area should meet the main task requirements of the mobile signal vehicle, namely, providing stable and efficient signal coverage); terrain requirements (i.e., the terrain of the preset area should be relatively flat, without tall obstacles, to reduce obstacles to signal propagation); and traffic safety requirements (i.e., the preset area should facilitate the entry, exit, and parking of the mobile signal vehicle, and the surrounding traffic conditions should be good, with no other mobile signal vehicles present). Then, based on these conditions, the mobile signal vehicle can initially delineate one or more possible preset areas on a map. When the number of preset areas is one, after the mobile signal vehicle completes the collection of blind spot data within the first preset time period, it directly drives to that preset area, so that upon arrival, the blind spot data is further transmitted to the IoT platform. When the number of preset areas is multiple, the mobile signal vehicle can choose to drive to any one of the preset areas to complete the subsequent transmission of blind spot data. Alternatively, when the number of preset areas is multiple, the mobile signal vehicle can choose to drive to the preset area with the shortest travel time or the best signal strength.

[0073] Once the preset area is determined, the mobile signal vehicle plans an optimal driving route based on its current location and the location information of the preset area. During the journey, the mobile signal vehicle activates its navigation system and follows the route. Simultaneously, it monitors the environment and safety conditions in real time through onboard sensors and cameras. When the mobile signal vehicle reaches the preset area, it confirms its location using GPS or other positioning technologies (such as RTK high-precision BeiDou positioning) and prepares for the next step of data transmission.

[0074] Through the above optional implementation methods, by defining the conditions for the preset area, planning the optimal driving route, and monitoring the driving environment in real time, the mobile signal vehicle can efficiently and safely complete the blind spot data collection and transmission, thereby improving the stability and efficiency of signal coverage.

[0075] S34, the mobile signal vehicle acquires the signal strength of the preset area and transmits the blind zone data to the Internet of Things platform according to the second data protocol format based on the signal strength.

[0076] In some embodiments, when the mobile signal vehicle travels to a preset area, the mobile signal vehicle can connect to the Internet of Things (IoT) platform via a first IoT terminal, so that after the network connection is successful, the blind spot data collected from the offline excavator can be transmitted to the IoT platform.

[0077] In an optional implementation, transmitting the blind zone data to the IoT platform based on the signal strength according to a second data protocol format includes:

[0078] The mobile signal vehicle determines whether to transmit the blind zone data to the Internet of Things platform according to the second data protocol format based on the signal strength and the preset signal strength segmentation interval. The preset signal strength segmentation interval includes multiple signal strength threshold intervals, and the multiple signal strength threshold intervals include a first signal strength threshold interval and a second signal strength threshold interval.

[0079] When the mobile signal vehicle determines that the signal strength is within the first signal strength threshold range, it disconnects the communication connection with the Internet of Things platform and does not perform the step of transmitting the blind zone data to the Internet of Things platform according to the second data protocol format.

[0080] When the mobile signal vehicle determines that the signal strength is within the second signal strength threshold range, it performs the step of transmitting the blind zone data to the Internet of Things platform according to the second data protocol format.

[0081] In some embodiments, the signal strength of the preset area at the current moment is first detected to ensure the stability and reliability of data transmission. The signal value CSQ ranges from [1, 31], where 31 represents the highest signal strength, and a smaller value indicates a weaker signal. The mobile signal vehicle can pre-set multiple signal strength threshold intervals, each corresponding to a processing method. For example, the mobile signal vehicle can pre-set a first signal strength threshold interval (referred to as the first signal strength threshold interval) and a second signal strength threshold interval (referred to as the second signal strength threshold interval). The first signal strength threshold interval corresponds to the first processing method, and the second signal strength threshold interval corresponds to the second processing method.

[0082] For example, assuming CSQ < 7, the mobile signal vehicle adopts the first processing method, that is, disconnecting the communication connection with the IoT platform and not transmitting the blind spot data to the IoT platform according to the second data protocol format. Specifically, the mobile signal vehicle will be automatically and forcibly disconnected and reconnection will be ineffective. Alternatively, assuming CSQ > 10, and considering the current environmental signal to be good, even if the mobile signal vehicle disconnects from the IoT platform, it may reconnect successfully. In this case, the blind spot data will be transmitted to the IoT platform according to the second data protocol format.

[0083] After the mobile signal vehicle transmits all the blind spot data to the IoT platform, it waits for a confirmation message from the IoT platform to ensure that the blind spot data has been successfully transmitted and received by the IoT platform. If the mobile signal vehicle receives a confirmation message, the entire data transmission process is complete; if the mobile signal vehicle does not receive a confirmation message, it may need to retransmit the blind spot data or perform troubleshooting.

[0084] Through the aforementioned optional implementation methods, the mobile signal vehicle detects the signal strength in a preset area and selects different data processing methods based on the signal strength, effectively improving the stability and reliability of data transmission. When the signal is weak, the communication connection with the IoT platform is disconnected to avoid data transmission failure; when the signal is strong, data transmission is executed. This intelligent judgment and processing method optimizes the data transmission process and improves the overall data transmission efficiency.

[0085] In an optional implementation, the method further includes:

[0086] The first IoT terminal obtains the location coordinates of the mobile signal vehicle according to a second preset time interval, and obtains a first set of location coordinates;

[0087] The first IoT terminal calculates the speed of the mobile signal vehicle based on the coordinates of the first target positioning point, wherein the coordinates of the first target positioning point are the coordinates of three consecutive positioning points in the first set of positioning point coordinates;

[0088] When the first IoT terminal determines that the driving speed is less than a preset speed threshold, it removes the coordinates of the first target positioning point from the first positioning point coordinate set to obtain the second positioning point coordinate set.

[0089] The first IoT terminal determines the included angle of the coordinates of the second target positioning point, wherein the coordinates of the second target positioning point are the coordinates of three consecutive positioning points in the second positioning point coordinate set;

[0090] When the first IoT terminal determines that the included angle is less than a preset included angle threshold, it determines that the mobile signal vehicle performs a reversing action once.

[0091] The real-time location information display facilitates remote monitoring of the location and status of mobile signal vehicles and / or offline excavators via IoT platforms or APP mini-programs, including their operating area, which is convenient for unified maintenance and management by fleet managers. Secondly, the real-time location information also serves as an anti-theft function, allowing for accurate location retrieval of lost vehicles. In this embodiment, the number of times a mobile signal vehicle reverses daily within the mining area is calculated based on its real-time location coordinates. Specifically, the WIFI function of the first IoT terminal installed in the mobile signal vehicle is used to collect the location coordinates of the mobile signal vehicle in real-time according to a second preset time period (e.g., 3 seconds), specifically continuous latitude and longitude data, to obtain a first set of location coordinates. Next, the speed of three consecutive positioning points (i.e., the first target positioning point coordinates) in the first positioning point coordinate set is calculated. Specifically, the Haversine formula or other distance calculation formulas are used to calculate the distance between the first two positioning points and the last two positioning points. The speed of the moving signal vehicle is obtained by dividing the distance by a second preset time interval. This speed is then compared with a preset speed threshold (e.g., 1 km / h) to filter out positioning points with speeds lower than the preset speed threshold. Data from when the moving signal vehicle is stationary or moving slowly is removed, retaining only meaningful speed change data. The above steps are repeated until all low-speed positioning points are eliminated, forming the second positioning point coordinate set.

[0092] Then, the latitude and longitude data of three consecutive positioning points (i.e., the second target positioning point coordinates) selected from the second positioning point coordinate set are converted into radians. The x, y, and z coordinates corresponding to each positioning point are obtained using coordinate system transformation formulas. Furthermore, the cosine theorem is used to inversely calculate the angle between the three positioning points using ACOs, and then the radians are converted into degrees. Specifically, the angle between the first and third positioning points is calculated, ignoring the second positioning point. Finally, since the moving signal vehicle's direction of travel changes significantly when reversing, causing the angle between the first and last positioning points to decrease, the calculated angle is compared with a preset angle threshold. If the angle is less than the preset threshold (e.g., 45°), it is determined that the moving signal vehicle has reversed once.

[0093] It should be noted that when using three positioning points to confirm a reversing action, the focus is on the directional change between the first and last positioning points.

[0094] In other embodiments, the IoT platform can obtain the location coordinates of the mobile signal vehicle, calculate the driving speed of the mobile signal vehicle according to the same implementation method described above, and remove the location coordinates of the mobile signal vehicle whose speed is less than a preset speed threshold. Then, it can calculate the included angle based on the remaining location coordinates, and determine whether the mobile signal vehicle should perform a reversing action based on the included angle and a preset included angle threshold.

[0095] Through the above optional implementation methods, since each time the mobile signal vehicle reverses, it indicates that the mobile signal vehicle has completed transmitting blind zone data to the IoT platform, the accuracy of monitoring is improved by collecting the positioning coordinates of the mobile signal vehicle in real time, calculating the driving speed and angle, and accurately identifying and counting the number of reversals. This allows the IoT platform managers to subsequently analyze the daily operating status of the mobile signal vehicle and estimate the operating efficiency of offline excavators in the mining area by the frequency of unloading corresponding to each reversing action.

[0096] In an optional implementation, the method further includes:

[0097] The IoT platform determines the unloading frequency of the mobile signal vehicle based on the mobile signal vehicle performing one reversing action;

[0098] The IoT platform determines the operating efficiency of the multiple offline excavators based on the unloading frequency.

[0099] For certain operational information, such as the number of times a mobile signal vehicle performs a reversing action to unload, the IoT platform analyzes the daily operating status of the mobile signal vehicle and uses the unloading frequency to estimate the operational efficiency of offline excavators in the mining area. In some embodiments, the IoT platform receives data from the mobile signal vehicle corresponding to one reversing action. Once a reversing action is identified, the IoT platform records it as a potential unloading event. By statistically analyzing the number of reversing actions over a period of time (such as a day, a week, or a month), the IoT platform can calculate the unloading frequency of the mobile signal vehicle. The IoT platform correlates the unloading frequency of the mobile signal vehicle with the operational status of multiple offline excavators. Based on the unloading frequency and data such as the operating time and workload of the offline excavators, the IoT platform can assess the operational efficiency of the offline excavators. For example, if the unloading frequency of the mobile signal vehicle is high, but the operating time of a certain offline excavator is relatively short, this may mean that the operational efficiency of that offline excavator is low, or that there are other factors affecting operational efficiency. Finally, the IoT platform can output the evaluation results to managers or fleet managers through web interfaces, APP mini-programs or other forms, so that managers or fleet managers can optimize the operation process of offline excavators, improve operation efficiency or perform other related maintenance and management work based on the evaluation results.

[0100] In other embodiments, the IoT platform can track the cumulative power-on time of mobile signal vehicles during operation, and understand the daily workload of the mobile signal vehicles. Regarding the daily fuel consumption included in the operation data, it can provide information on the daily fuel consumption of offline excavators, offering data for managers to improve labor processes and save fuel.

[0101] By implementing the above optional methods, the unloading frequency can be calculated by real-time monitoring of the reversing action of the mobile signal vehicle, thereby assessing the offline excavator operation efficiency. This enables precise control of the mining area's operation, helps managers optimize work processes, improve operational efficiency, and enhance the overall operational efficiency of the mining area.

[0102] In this embodiment, each offline excavator is connected to a mobile signal vehicle using WIFI network connection technology. The blind spot data of the offline excavator is transmitted to the mobile signal vehicle (e.g., a mining truck) via wireless network. Then, the mobile signal vehicle leaves the mining area and travels to a preset area outside the mining area with a mobile base station and good communication signal. The IoT terminal installed in the mobile signal vehicle establishes a connection with the IoT platform and uploads the received working status data of the offline excavator for a certain period of time, i.e., the blind spot data, to the IoT platform. This maximizes the time that the offline excavator stays in the mining area without having to move out of the mining area, thus ensuring the working efficiency of the offline excavator. At the same time, the working status and working conditions of the offline excavator can be understood within a certain time range, which is convenient for the IoT terminal management personnel to analyze the working conditions in the mining area and make subsequent management deployments.

[0103] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0104] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0105] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A method of blind zone data transmission, the method comprising: The application is applied to a blind area data transmission system, the blind area data transmission system comprises a mobile signal vehicle, a plurality of offline excavators and an Internet of Things platform, the mobile signal vehicle comprises a first Internet of Things terminal, each offline excavator of the plurality of offline excavators comprises a second Internet of Things terminal, and the method comprises the following steps: The mobile signal vehicle is connected to the plurality of offline excavators in a mining area in pairs; After determining that pairing with the mobile signal vehicle is completed, a target offline excavator transmits corresponding blind area data to the mobile signal vehicle according to a first preset time period and a first data protocol format, and the target offline excavator is any one of the plurality of offline excavators; After determining that blind area data collection is completed, the mobile signal vehicle drives to a preset area; The mobile signal vehicle acquires signal strength of the preset area, and transmits the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength; The first Internet of Things terminal acquires positioning point coordinates of the mobile signal vehicle according to a second preset time interval to obtain a first positioning point coordinate set; a driving speed of the mobile signal vehicle is calculated based on a first target positioning point coordinate, wherein the first target positioning point coordinate is consecutive three positioning point coordinates in the first positioning point coordinate set; when the driving speed is determined to be less than a preset speed threshold, the first target positioning point coordinate is removed from the first positioning point coordinate set to obtain a second positioning point coordinate set; an included angle of a second target positioning point coordinate is determined, wherein the second target positioning point coordinate is consecutive three positioning point coordinates in the second positioning point coordinate set; when the included angle is determined to be less than a preset included angle threshold, it is determined that the mobile signal vehicle performs a one-time reversing action; The Internet of Things platform determines unloading frequency of the mobile signal vehicle based on the one-time reversing action of the mobile signal vehicle, and determines working efficiency of the plurality of offline excavators based on the unloading frequency.

2. The dead zone data transmission method of claim 1, wherein, The pairing connection of the mobile signal vehicle and the plurality of offline excavators comprises the following steps: The mobile signal vehicle starts a wireless network function through the first Internet of Things terminal, and broadcasts a service set identifier; When the target offline excavator finds the service set identifier through the second Internet of Things terminal, a connection instruction is sent to the mobile signal vehicle, wherein the connection instruction comprises a target excavator number of the target offline excavator; The mobile signal vehicle establishes a pairing connection with the target offline excavator based on the target excavator number through the first Internet of Things terminal.

3. The dead zone data transmission method of claim 1, wherein, The transmission of the blind area data to the Internet of Things platform according to the second data protocol format based on the signal strength comprises the following steps: The mobile signal vehicle determines whether to transmit the blind area data to the Internet of Things platform according to the second data protocol format according to the signal strength and a preset signal strength segmentation interval, wherein the preset signal strength segmentation interval comprises a plurality of signal strength threshold intervals, and the plurality of signal strength threshold intervals comprise a first signal strength threshold interval and a second signal strength threshold interval; The mobile signal vehicle is disconnected from the communication connection with the Internet of Things platform when it is determined that the signal strength is within the first signal strength threshold interval, and does not perform the transmission of the blind area data to the Internet of Things platform according to the second data protocol format. The mobile signal vehicle performs the transmission of the blind area data to the Internet of Things platform according to the second data protocol format when it is determined that the signal strength is within the second signal strength threshold interval.

4. The dead zone data transmission method of claim 1, wherein, The method further comprises: The target offline excavator determines a driving time of the mobile signal vehicle driving to the preset area. The target offline excavator determines a minimum time period of the first preset time period based on the driving time.

5. The dead zone data transmission method of claim 1, wherein, The first data protocol format comprises a packet header, a whole packet data length, an excavator number of the target offline excavator, the blind area data, a data integrity check value, and a packet tail, the packet header occupies 1 byte, the whole packet data length occupies 2 bytes, the excavator number occupies 8 bytes, the blind area data occupies N bytes, N is determined according to the actual length of the blind area data, the data integrity check value occupies 1 byte, and the packet tail occupies 1 byte.

6. The dead zone data transmission method of claim 1, wherein, The second data protocol format comprises a packet header, a whole packet data length, a vehicle number of the mobile signal vehicle, vehicle data of the mobile signal vehicle, a data integrity check value, and a packet tail, the packet header occupies 1 byte, the whole packet data length occupies 2 bytes, the vehicle number occupies 8 bytes, the vehicle data occupies M bytes, M is determined according to the actual length of the vehicle data, the data integrity check value occupies 1 byte, and the packet tail occupies 1 byte.

7. A dead zone data transmission system characterized by, The system comprises: The mobile signal vehicle, a plurality of offline excavators, and an Internet of Things platform; the mobile signal vehicle comprises a first Internet of Things terminal, and each offline excavator of the plurality of offline excavators comprises a second Internet of Things terminal; The mobile signal vehicle is configured to be paired and connected with the plurality of offline excavators; The plurality of offline excavators are configured to, when it is determined that the pairing with the mobile signal vehicle is completed, transmit corresponding blind area data to the mobile signal vehicle according to a first data protocol format; The mobile signal vehicle is further configured to drive to a preset area when it is determined that the blind area data collection is completed; The mobile signal vehicle is further configured to acquire a signal strength of the preset area and transmit the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength; and The mobile signal vehicle is further configured to acquire a signal strength of the preset area and transmit the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength. The first Internet of Things terminal is configured for obtaining positioning point coordinates of the mobile signal vehicle according to a second preset time interval to obtain a first set of positioning point coordinates; calculating a driving speed of the mobile signal vehicle based on a first target positioning point coordinate, wherein the first target positioning point coordinate is three continuous positioning point coordinates in the first set of positioning point coordinates; when it is determined that the driving speed is less than a preset speed threshold, eliminating the first target positioning point coordinate from the first set of positioning point coordinates to obtain a second set of positioning point coordinates; determining an included angle of a second target positioning point coordinate, wherein the second target positioning point coordinate is three continuous positioning point coordinates in the second set of positioning point coordinates; when it is determined that the included angle is less than a preset included angle threshold, determining that the mobile signal vehicle performs a one-time reversing action; The Internet of Things platform is configured for determining a vehicle unloading frequency of the mobile signal vehicle based on the one-time reversing action performed by the mobile signal vehicle; and determining a working efficiency of the plurality of offline excavators based on the vehicle unloading frequency.

8. The dead zone data transmission system of claim 7, wherein, The Internet of Things platform is configured for: obtaining positioning point coordinates of the mobile signal vehicle; judging whether the mobile signal vehicle performs a one-time reversing action based on the positioning point coordinates.

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