Blind zone data transmission method and blind zone data transmission system using same

Abstract

The invention 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 an off-line excavator in a mining area is collected and transmitted to a mobile signal vehicle, and after the blind area data is received, the blind area data is transmitted to the mobile signal vehicle. And the mining area is driven to a preset area with good mobile communication signals, and blind area data is re-sent and transmitted to the Internet of Things platform. According to the method, the off-line excavator can stay in the mining area as much as possible to the maximum extent, the off-line excavator does not need to be moved out of the mining area, the working efficiency of the off-line excavator is guaranteed, and meanwhile the working state and the working condition of the off-line excavator can be known within a certain time range; and the management personnel of the Internet of Things terminal can conveniently analyze the working condition in the mining area and follow-up management deployment.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a blind area data transmission method and a blind area data transmission system using the method. Background Art

[0002] With the popularization of the Internet of Things, more and more devices can be directly connected to the platform for information exchange, which is convenient for operators and technicians to remotely access and analyze data of the equipment. However, in the existing application scenarios of construction machinery, in remote mines with poor signals or no mobile communication signals, it is difficult to transmit the operating information of the operating excavator to the Internet of Things platform in real time. Generally, it is necessary to wait for the operating excavator to complete the operation and leave the mine area before data can be supplemented. However, the operating cycle of the operating excavator is long, the cost of leaving the mine area is high, and it is inconvenient to drive. As a result, the operating information of the operating excavator cannot be uploaded to the Internet of Things platform, and the current operating progress of the operating excavator and the current status of the equipment cannot be understood, which hinders data analysis and greatly inconveniently tracks the operating status of the equipment in the background. Summary of the invention

[0003] In order to overcome the shortcomings of the prior art, the present invention provides a blind spot data transmission method and a blind spot data transmission system using the same, which utilizes a mobile signal vehicle as a data transmission carrier to allow the offline excavator to stay in the mining area as much time as possible, without moving out of the mining area, thereby ensuring the operating 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 managers of the Internet of Things terminal to analyze the operating conditions in the mining area and subsequent management deployment.

[0004] A first aspect of the present application provides a blind area data transmission method, which is applied to a blind area data transmission system, wherein the blind area data transmission system includes a mobile signal vehicle, multiple offline excavators, and an Internet of Things platform. The method includes: The mobile signal vehicle is paired and connected with the multiple offline excavators in the mining area; When the target offline excavator is determined to be paired with the mobile signal vehicle, the target offline excavator transmits the corresponding blind spot 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 multiple offline excavators; When determining that the blind spot data collection is completed, the mobile signal vehicle drives to a preset area; The mobile signal vehicle obtains the signal strength of the preset area, and based on the signal strength, transmits the blind spot data to the Internet of Things platform according to a second data protocol format.

[0005] In an optional embodiment, the mobile signal vehicle includes a first Internet of Things terminal, each of the multiple offline excavators includes a second Internet of Things terminal, and the mobile signal vehicle is paired with the multiple offline excavators and connected, including: The mobile signal vehicle activates the 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, the target offline excavator sends a connection instruction to the mobile signal vehicle, wherein the connection instruction includes the 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.

[0006] In an optional embodiment, the method further comprises: The first Internet of Things terminal obtains the coordinates of the positioning points of the mobile signal vehicle according to the second preset time interval to obtain a first positioning point coordinate set; The first Internet of Things terminal calculates the travel speed of the mobile signal vehicle based on the first target positioning point coordinates, wherein the first target positioning point coordinates are three consecutive positioning point coordinates in the first positioning point coordinate set; When the first Internet of Things terminal determines that the driving speed is less than a preset speed threshold, the first target positioning point coordinates are removed from the first positioning point coordinate set to obtain a second location coordinate set; The first Internet of Things terminal determines an angle of coordinates of a second target positioning point, wherein the coordinates of the second target positioning point are three consecutive positioning point coordinates in the second positioning point coordinate set; When the first Internet of Things terminal determines that the angle is less than a preset angle threshold, the mobile signal vehicle is determined to perform a reversing action.

[0007] In an optional embodiment, the method further comprises: The Internet of Things platform determines the unloading frequency of the mobile signal vehicle based on the mobile signal vehicle performing a reversing action once; The Internet of Things platform determines the operating efficiency of the multiple offline excavators based on the unloading frequency.

[0008] In an optional implementation, transmitting the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength includes: The mobile signal vehicle determines whether to transmit the blind spot data to the Internet of Things platform according to the second data protocol format according to the signal strength and the preset signal strength segmentation interval, wherein 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; When the mobile signal vehicle determines that the signal strength is within the first signal strength threshold interval, the mobile signal vehicle disconnects the communication connection with the Internet of Things platform and does not transmit the blind area data to the Internet of Things platform according to the second data protocol format; When the mobile signal vehicle determines that the signal strength is within the second signal strength threshold range, the mobile signal vehicle transmits the blind spot data to the Internet of Things platform according to the second data protocol format.

[0009] In an optional embodiment, the method further comprises: The target offline excavator determines the travel time of the mobile signal vehicle to the preset area; The target offline excavator determines a minimum time period of the first preset time period based on the travel time.

[0010] In an optional embodiment, the first data protocol format includes: a packet header, a whole packet data length, an excavator number of the target offline excavator, the blind spot 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 spot data occupies N bytes, N is determined according to the actual length of the blind spot data, the data integrity check value occupies 1 byte, and the packet tail occupies one byte.

[0011] In an optional embodiment, the second preset data protocol format includes: 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 excavator 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 one byte.

[0012] A second aspect of the present application provides a blind area data transmission system, the system comprising: Mobile signal vehicles, multiple offline excavators and IoT platforms; The mobile signal vehicle is used to pair and connect with the multiple offline excavators; The multiple offline excavators are used to transmit corresponding blind spot data to the mobile signal vehicle according to a first data protocol format when it is determined that pairing with the mobile signal vehicle is completed; The mobile signal vehicle is further used to drive to a preset area when it is determined that the blind spot data collection is completed; The mobile signal vehicle is also used to obtain the signal strength of the preset area, and based on the signal strength, transmit the blind spot data to the Internet of Things platform according to a second data protocol format.

[0013] In an optional implementation, the Internet of Things platform is used to: Obtaining the coordinates of the positioning point of the mobile signal vehicle; Based on the coordinates of the positioning point, it is determined whether the mobile signal vehicle performs a reversing action.

[0014] In summary, the blind spot data transmission method and the blind spot data transmission system using the same provided by the present application are paired and connected with multiple offline excavators in the mining area through a mobile signal vehicle. When the pairing connection is completed, the offline excavator transmits the corresponding blind spot data to the mobile signal vehicle according to the first preset time period and the first data protocol format. As an intermediary for data transmission, the mobile signal vehicle is tasked with collecting the blind spot data of the offline excavator and transmitting it to the Internet of Things platform. After the offline excavator completes the data transmission, the mobile signal vehicle drives to the preset area again, and transmits the data based on the signal strength and the second data protocol format, ensuring the reliable transmission of the data, and at the same time will not interfere with the operation of the offline excavator, so that after the Internet of Things platform receives the blind spot data, it can perform further analysis and processing, which not only ensures the long-term operation efficiency of the offline excavator in the mining area, but also realizes the real-time monitoring and management of the working status and situation of the offline excavator, providing a strong guarantee for the overall operation of the mining area. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of a blind area data transmission system shown in an embodiment of the present application; Figure 2 is a schematic diagram of a connection method of a blind area data transmission system shown in an embodiment of the present application; Figure 3 It is a flow chart of a blind area data transmission method shown in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0017] The following will clearly and completely describe the concept, specific structure and technical effects of the present invention in combination with the embodiments and drawings, so as to fully understand the purpose, characteristics and effects of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, other embodiments obtained by technicians in this field without creative work are all within the scope of protection of the present invention. In addition, all the connection / connection relationships involved in the patent do not refer to the direct connection of components, but refer to the formation of a better connection structure by adding or reducing connection accessories according to the specific implementation situation. The various technical features in the invention can be combined interchangeably without conflicting with each other.

[0018] Reference Figure 1 , which is a structural diagram of a blind area data transmission system shown in an embodiment of the present application.

[0019] The blind spot data transmission system 1 includes a movable mobile signal vehicle 10 and multiple offline excavators 20, wherein the mobile signal vehicle 10 is provided with a mining card, and both the mining card and the offline excavator 20 are installed with an Internet of Things terminal, which has a WiFi function and is used to realize the communication connection between the mobile signal vehicle 10 and the offline excavator 20.

[0020] Refer to Figure 2 As shown, in some embodiments, the mobile signal vehicle 10 is used as a networking device end and is used as an AP mode, and the offline excavator 20 can be used as a STA terminal mode. In this mode, a one-to-many connection pairing is performed between the mobile signal vehicle 10 and the offline excavator 20, thereby transmitting blind spot data to each offline excavator 20 in the mining area.

[0021] In some embodiments, the mobile signal vehicle 10 can be a movable vehicle, such as a mining truck. After establishing a communication connection between the mining truck and multiple offline excavators 20, the mining truck obtains the blind spot data of each offline excavator 20, so that after receiving the blind spot data, the mining truck can drive out of the mining area to an area with good mobile communication signals to retransmit the blind spot data.

[0022] The blind spot data transmission system 1 also includes an Internet of Things platform 30. When it is determined that the mobile signal vehicle 10 has driven out of the mining area and has reached an area with a good mobile communication signal, a data transmission instruction is sent to the mobile signal vehicle 10, so that when the mobile signal vehicle 10 receives the transmission instruction, it transmits the acquired blind spot data to the Internet of Things platform 30, so that the Internet of Things platform 30 can determine the working state and working condition of the offline excavator 20 based on the blind spot data, which is convenient for the management personnel of the Internet of Things platform 30 to analyze the working condition of each offline excavator in the mining area and the subsequent management deployment. Or when the mobile signal vehicle 10 detects that the current signal strength is greater than the preset signal strength threshold, it actively transmits the blind spot data of the offline excavator 20 to the Internet of Things platform 30.

[0023] Reference Figure 3 As shown, it is a flow chart of a blind spot data transmission method shown in an embodiment of the present application. The blind spot data transmission method is applied to a blind spot data transmission system. The blind spot data transmission system includes a mobile signal vehicle, multiple offline excavators and an Internet of Things platform. The blind spot data transmission method includes the following steps.

[0024] S31, the mobile signal vehicle is paired and connected with the multiple offline excavators in the mining area.

[0025] In remote mines, there is a situation where the mobile signal is poor or there is no signal. When the offline excavator collects the corresponding blind spot data, it is unable to transmit the blind spot data to the terminal's Internet of Things platform. Therefore, the embodiment of the present application uses a movable mobile signal vehicle as an intermediate carrier to obtain the blind spot data of the offline excavator through the mobile signal vehicle in the mining area. When the mobile signal vehicle drives away from the mining area, it transmits the acquired blind spot data to the Internet of Things platform.

[0026] In some embodiments, each offline excavator is provided with an Internet of Things terminal (in order to facilitate the distinction between the Internet of Things terminals provided in the mobile signal vehicle, the Internet of Things terminal provided in the mobile signal vehicle is referred to as the first Internet of Things terminal, and the Internet of Things terminal provided in the offline excavator is referred to as the second Internet of Things terminal). The second Internet of Things terminal is installed in the offline excavator as an electronic device, and the signal line, power line and data bus of the offline excavator are connected to the second Internet of Things terminal, which is used as the data source for the second Internet of Things terminal to collect the blind area data of the offline excavator, that is, the blind area data of the corresponding offline excavator is collected through the second Internet of Things terminal installed in the offline excavator. The blind area refers to the blind area where the second Internet of Things terminal installed inside the offline excavator collects data, and the blind area data refers to the operating condition data of the offline excavator for a certain period of time when the offline excavator is operating 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 battery power supply voltage inside the excavator, and the abnormal condition data of the excavator arm.

[0027] In an optional embodiment, the pairing connection between the mobile signal vehicle and the multiple offline excavators includes: The mobile signal vehicle activates the 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, the target offline excavator sends a connection instruction to the mobile signal vehicle, wherein the connection instruction includes the 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.

[0028] Both the first IoT terminal and the second IoT terminal have WiFi function, where the mobile signal vehicle (such as a mining truck) acts as an AP (Access Point) and is responsible for establishing and maintaining the wireless network. The offline excavator is configured as a STA (Station) and will be connected to the wireless network established by the mobile signal vehicle. Specifically, the mobile signal vehicle turns on its wireless network function and broadcasts a service set identifier (SSID). In addition, encryption can be added to the broadcasted SSID so that the offline excavator can discover the wireless network created by the mobile signal vehicle and connect to it. Figure 2 , the offline mining machine 1 (STA end) first tries to scan the surrounding wireless networks and find the SSID broadcast by the mining card (AP end), and enters the correct password or key according to the encryption method provided by the mining card (AP end), and then tries to connect to the wireless network of the mining card. At this time, the offline mining machine 1 (STA end) can send a connection instruction carrying the corresponding mining machine number to the mining card (AP end) so that the mining card (AP end) can clearly identify the offline mining machine 1 (STA end) and determine which offline mining machine has successfully established a pairing connection. Once the connection is successful, a stable wireless network connection is established between the offline mining machine 1 and the mining card (AP end). At the same time, the offline mining machine 2 and the offline mining machine 3 also discover and connect to the wireless network of the mining card (AP end) according to the same network connection method as the offline mining machine 1. After the connection is successful, each offline mining machine will maintain communication with the mining card (AP end) for subsequent data transmission and control instruction reception.

[0029] In some embodiments, before the mobile signal vehicle turns on the wireless network, the mobile signal vehicle can perform a self-check to ensure that the communication module (such as the WiFi module) is in normal working condition, and can also configure the communication parameters of the mobile signal vehicle, including the network frequency band, communication protocol, etc., to ensure compatibility with the offline excavator and the Internet of Things platform. At the same time, when the offline excavator is in the waiting state for pairing, it should ensure that its communication module (such as the WiFi module) is turned on and is in a discoverable state.

[0030] Through the above-mentioned optional implementation method, by introducing a mobile signal vehicle as an intermediate carrier, the problem that offline excavators in remote mining areas cannot transmit blind spot data to the Internet of Things platform due to poor or no signal is solved, and the Internet of Things terminal is used to realize the pairing connection between the mobile signal vehicle and the offline excavator, effectively collect and transmit blind spot data, and improve the efficiency and accuracy of mine operation data management.

[0031] S32, when the target offline excavator determines that pairing with the mobile signal vehicle is complete, the target offline excavator transmits the corresponding blind spot data to the mobile signal vehicle according to a first preset time period and a first data protocol format.

[0032] The target offline excavator is any one of the multiple offline excavators.

[0033] When it is determined that the offline excavator is paired with the mobile signal vehicle, that is, a communication connection is established between the two, the mobile signal vehicle can collect blind spot data for each successfully paired offline excavator in the mining area. That is, the offline excavator sends the blind spot data stored in the first IoT terminal to the mobile signal vehicle according to the first preset time period and the first data protocol format. Among them, the first preset time period is a time period interval, including a minimum time period and a maximum time period. The minimum time period is determined based on the driving time of the mobile signal vehicle to the preset area, and the maximum time period can be configured by the on-site staff or the platform operator.

[0034] Among them, after the pairing connection is successful, the blind spot data of each offline excavator is transmitted in parallel to the mobile signal vehicle. The mobile signal vehicle can determine which offline excavator the acquired blind spot data comes from based on the excavator number of the offline excavator, wherein the excavator number is transmitted to the mobile signal vehicle together with the blind spot data according to the first data protocol format. Among them, the first data protocol format is a conventional protocol. In the embodiment of the present application, the first data protocol format includes: a packet header, a whole packet data length, an excavator number of the target offline excavator, the blind spot data of the target offline excavator, a data integrity check value and a packet tail, wherein the packet header occupies 1 byte, the whole packet data length occupies 2 bytes, the excavator number occupies 8 bytes, the blind spot data occupies N bytes, N is determined according to the actual length of the blind spot data, the data integrity check value occupies 1 byte, and the packet tail occupies one byte.

[0035] In an optional embodiment, both the offline excavator and the mobile signal vehicle use positioning technology to locate the specific location of the mobile signal vehicle and track the operation of the offline excavator using the positioning location information, wherein the positioning accuracy is sub-meter level. Specifically, the mobile signal vehicle can plan the driving path of the mobile signal vehicle from the current location where the blind spot data of the offline excavator is collected to the preset area according to the map and road conditions of the mining area. During the driving process of the mobile signal vehicle, the position change is monitored in real time by a positioning device (for example, RTK high-precision Beidou positioning), the distance between the mobile signal vehicle and the preset area is calculated, and the arrival time is predicted according to the current speed and road conditions. When the mobile signal vehicle arrives at the preset area, the total driving time from departure to arrival is recorded as the minimum time period of the first preset time period. Exemplarily, assuming that the driving time of the mobile signal vehicle to the preset area is 1 hour, the configuration time is configured with 1 hour as the minimum time period unit. Assuming that the first preset time period is set to 6 hours, that is, the blind spot data of each offline excavator is collected within 6 hours, the length of the data transmitted to the mobile signal vehicle by the offline excavator each time is the blind spot data within 6 hours.

[0036] It should be noted that the first preset time period can be freely set according to the configuration and scheduling conditions of the blind spot data collection site.

[0037] If the data packet format is incorrect, it may cause data parsing errors, data loss or data confusion, thereby 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 area 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 area data, and perform preliminary verification and validation on the blind area data. Specifically, after receiving the blind area data, the mobile signal vehicle first verifies whether the blind area data satisfies the correct first data protocol format. When the first data protocol format is met, it verifies whether the blind area data is complete. Specifically, the mobile signal vehicle will first parse the received data packet of the blind area data, and according to the definition of the first data protocol format, check the packet header, the whole packet data length, the excavator number, the blind area data, the data integrity check value and the packet tail field in turn, and judge whether the data packet conforms to the first data protocol format by comparing the number of bytes and the expected value of each field, as well as the order and logical relationship between the fields. 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 are consistent, the blind spot data is considered to be complete; if the two are inconsistent, it is considered that the blind spot data may have errors or losses during transmission.

[0038] Through the above optional implementation, by verifying the format of the data packet, it can be ensured that the received data is in line with expectations, providing a reliable basis 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. In addition, by verifying the integrity of the data, it can be ensured that the received blind area data is accurate, which also provides a reliable data source for subsequent data processing and analysis, improves the security and reliability of data transmission, and prevents data from being maliciously tampered with or damaged during transmission.

[0039] In some embodiments, when a communication module of an offline excavator fails, the offline excavator with the failure cannot normally transmit the blind area data to the mobile signal vehicle, that is, the mobile signal vehicle (AP end) fails to interact with the offline excavator with the failure in the blind area data, and cannot transmit through other transmission methods. That is, the offline excavator actively transmits the blind area data to the mobile signal vehicle. If the offline excavator fails, it cannot actively transmit the blind area data to the mobile signal vehicle, but it does not affect the blind area data transmission of other offline excavators that are operating normally.

[0040] S33, when the mobile signal vehicle determines that the blind spot data collection is completed, it drives to a preset area.

[0041] In some embodiments, the mobile signal vehicle needs to clarify the determination conditions of the preset area, such as signal coverage requirements, that is, the preset area should be able to meet the main task requirements of the mobile signal vehicle, that is, to provide stable and efficient signal coverage; terrain requirements, that is, the terrain of the preset area should be relatively flat, without tall obstacles, etc., to reduce obstacles to signal propagation; traffic safety requirements, that is, the preset area should be convenient for the mobile signal vehicle to enter, exit and park, and the surrounding traffic conditions are good, and there are no other mobile signal vehicles, etc. Then, the mobile signal vehicle can preliminarily delineate one or more possible preset areas on the map based on these determination conditions. When the number of preset areas is 1, after the mobile signal vehicle completes the collection of blind spot data within the first preset time period, it directly drives to the preset area, so that when the mobile signal vehicle arrives at the preset area, the blind spot data is further transmitted to the Internet of Things 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 corresponding to the shortest driving time or the best signal strength.

[0042] After determining the preset area, the mobile signal vehicle plans an optimal driving route based on the current location and the location information of the preset area. During driving, the mobile signal vehicle starts the navigation system and drives according to the driving route. At the same time, through on-board sensors and cameras and other equipment, it monitors the environment and safety conditions during driving in real time. When the mobile signal vehicle arrives at the preset area, it confirms its location through GPS positioning or other positioning technologies (such as RTK high-precision Beidou positioning) and prepares for the next step of data transmission.

[0043] Through the above-mentioned optional implementation methods, by clarifying the determination conditions of the preset area, planning the optimal driving route, monitoring the driving environment in real time, etc., 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.

[0044] S34, the mobile signal vehicle obtains the signal strength of the preset area, and based on the signal strength, transmits the blind spot data to the Internet of Things platform according to a second data protocol format.

[0045] In some embodiments, when the mobile signal vehicle travels to a preset area, the mobile signal vehicle can establish a network connection with the Internet of Things platform based on the first Internet of Things terminal, so as to transmit the blind spot data collected from the offline excavator to the Internet of Things platform after the network connection is successful.

[0046] In an optional implementation, transmitting the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength includes: The mobile signal vehicle determines whether to transmit the blind spot data to the Internet of Things platform according to the second data protocol format according to the signal strength and the preset signal strength segmentation interval, wherein 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; When the mobile signal vehicle determines that the signal strength is within the first signal strength threshold interval, the mobile signal vehicle disconnects the communication connection with the Internet of Things platform and does not transmit the blind area data to the Internet of Things platform according to the second data protocol format; When the mobile signal vehicle determines that the signal strength is within the second signal strength threshold range, the mobile signal vehicle transmits the blind spot data to the Internet of Things platform according to the second data protocol format.

[0047] 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 interval range of the signal value CSQ is [1, 31], 31 is the highest signal, and the smaller the signal value, the weaker the signal. The mobile signal vehicle can pre-set multiple signal strength threshold intervals, and each signal strength threshold interval corresponds 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.

[0048] For example, if CSQ is less than 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 forced to disconnect and reconnection will be invalid. If CSQ is greater than 10, and it is considered that the current environmental signal is good, even if the mobile signal vehicle is disconnected from the IoT platform, it may be possible to reconnect successfully, then the blind spot data will be transmitted to the IoT platform according to the second data protocol format.

[0049] After the mobile signal vehicle transmits all the blind spot data to the IoT platform, it waits for the IoT platform to receive a confirmation message 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 completed; if the mobile signal vehicle does not receive a confirmation message, it may be necessary to retransmit the blind spot data or perform troubleshooting.

[0050] Through the above optional implementation, the signal strength of the preset area is detected by the mobile signal vehicle, and different data processing methods are selected according to the signal strength, which effectively improves the stability and reliability of data transmission. When the signal is weak, the communication connection with the Internet of Things platform is disconnected to avoid data transmission failure; when the signal is good, data transmission is executed. This intelligent judgment and processing method optimizes the data transmission process and improves the overall data transmission efficiency.

[0051] In an optional embodiment, the method further comprises: The first Internet of Things terminal obtains the coordinates of the positioning points of the mobile signal vehicle according to the second preset time interval to obtain a first positioning point coordinate set; The first Internet of Things terminal calculates the travel speed of the mobile signal vehicle based on the first target positioning point coordinates, wherein the first target positioning point coordinates are three consecutive positioning point coordinates in the first positioning point coordinate set; When the first Internet of Things terminal determines that the driving speed is less than a preset speed threshold, the first target positioning point coordinates are removed from the first positioning point coordinate set to obtain a second location coordinate set; The first Internet of Things terminal determines an angle of coordinates of a second target positioning point, wherein the coordinates of the second target positioning point are three consecutive positioning point coordinates in the second positioning point coordinate set; When the first Internet of Things terminal determines that the angle is less than a preset angle threshold, the mobile signal vehicle is determined to perform a reversing action.

[0052] Among them, the display of real-time positioning information is convenient for managers to remotely observe the real-time location and real-time status of the mobile signal vehicle and / or offline excavator in the Internet of Things platform or APP applet, and the region in which it is operating, etc., which facilitates the unified maintenance and management of the fleet managers. Secondly, the real-time positioning information also serves as an anti-theft function. The current real-time location information is used to accurately find the specific location of the vehicle after the vehicle is lost. In an embodiment of the present application, calculations are performed based on the real-time positioning point coordinates of the mobile signal vehicle to determine the number of reversing times of the mobile signal vehicle operating on-site in the mining area on the same day. Specifically, the WIFI function in the first Internet of Things terminal installed in the mobile signal vehicle is used to collect the positioning point coordinates of the mobile signal vehicle in real time according to a second preset time period (for example, 3 seconds), specifically continuous longitude and latitude data, to obtain a first positioning point coordinate set. Then, the speed of three consecutive positioning point coordinates (i.e., the first target positioning point coordinates) in the first positioning point coordinate set is calculated. Specifically, the distance between the first two positioning points and the last two positioning points is calculated using the Haversine formula or other distance calculation formula, and the distance is divided by the second preset time interval to obtain the driving speed of the mobile signal vehicle, and the driving speed is compared with the preset speed threshold (e.g., 1km / h) to filter out the positioning points whose intermediate speed is less than the preset speed threshold, remove the data when the mobile signal vehicle is stationary or moving slowly, and only retain the meaningful speed change data. Repeat the above steps until all low-speed positioning points are eliminated to form the second positioning point coordinate set.

[0053] Then, convert the latitude and longitude data of three consecutive positioning point coordinates (that is, the second target positioning point coordinates) selected from the second positioning point coordinate set into radians, and use the coordinate system conversion formula to obtain the x, y, and z coordinates corresponding to each positioning point coordinate. Further use the cosine theorem to inversely calculate the angle between the three positioning points through acos, and then convert the radians into angles. Specifically, calculate the angle between the first and third positioning points, and ignore the second positioning point. Finally, because the direction of travel of the mobile signal vehicle changes significantly when it reverses, causing the angle between the first and last positioning points to become smaller, the calculated angle is compared with the preset angle threshold. When the angle is less than the preset angle threshold (for example, 45°), it is determined that the mobile signal vehicle has reversed once.

[0054] It should be noted that when three positioning points are used to confirm a reversing action, the focus is on the change in direction between the first and last positioning points.

[0055] In other embodiments, the Internet of Things platform can obtain the coordinates of the positioning points of the mobile signal vehicle, and according to the same implementation method as above, calculate the driving speed of the mobile signal vehicle, and eliminate the coordinates of the positioning points whose speed is less than a preset speed threshold, and then calculate the angle based on the remaining positioning point coordinates, and determine whether the mobile signal vehicle performs a reversing action based on the angle and the preset angle threshold.

[0056] Through the above optional implementation method, since each time the mobile signal vehicle reverses, it indicates that the mobile signal vehicle has completed transmitting the blind spot data to the Internet of Things platform once, therefore, by collecting the positioning point coordinates of the mobile signal vehicle in real time, calculating the driving speed and angle, and accurately identifying and counting the number of reversing times, the accuracy of working condition monitoring is improved, so that the managers of the Internet of Things platform can subsequently analyze the current daily operating status of the mobile signal vehicle and infer the operating efficiency of the offline excavators in the mining area by the frequency of unloading times corresponding to a reversing action.

[0057] In an optional embodiment, the method further comprises: The Internet of Things platform determines the unloading frequency of the mobile signal vehicle based on the mobile signal vehicle performing a reversing action once; The Internet of Things platform determines the operating efficiency of the multiple offline excavators based on the unloading frequency.

[0058] For some working condition information, such as the number of unloading times of a mobile signal vehicle performing a reverse action, the IoT platform calculates the operating efficiency of offline excavators in the mining area based on an analysis of the current daily operating status of the mobile signal vehicle through the frequency of unloading times. In some embodiments, the IoT platform receives the corresponding data from the mobile signal vehicle after performing a reverse action. Once the reverse action is identified, the IoT platform will record it as a potential unloading event. By counting the number of reverses 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 associates the unloading frequency of the mobile signal vehicle with the operating conditions of multiple offline excavators. Based on the unloading frequency and the operating time, operating volume, and other data of the offline excavators, the IoT platform can evaluate the operating efficiency of the offline excavators. For example, if the unloading frequency of the mobile signal vehicle is very high, but the operating time of a certain offline excavator is relatively short, then this may mean that the operating efficiency of the offline excavator is low, or there are other factors that affect the operating efficiency. Finally, the IoT platform can output the evaluation results to managers or fleet managers through a web interface, APP applets or other forms, so that managers or fleet managers can optimize the operating process of offline excavators, improve operating efficiency or perform other related maintenance management work based on the evaluation results.

[0059] In other embodiments, the IoT platform can count the cumulative power-on time of the mobile signal vehicle in the working condition, understand the saturation of the mobile signal vehicle's daily work, etc. For the daily fuel consumption included in the working condition, the daily fuel consumption of the offline excavator can be understood, and data can be provided for managers to improve the employment process and save fuel.

[0060] Through the above optional implementation method, the unloading frequency is calculated by real-time monitoring of the reversing action of the mobile signal vehicle, and then the operating efficiency of the offline excavator is evaluated, thereby achieving accurate grasp of the operating conditions in the mining area, which helps managers optimize the operating process, improve operating efficiency, and enhance the overall operating efficiency of the mining area.

[0061] In an embodiment of the present application, WIFI network connection technology is used to connect each offline excavator with a movable mobile signal vehicle, and the blind spot data of the offline excavator is sent to the mobile signal vehicle (such as a mining truck) through wireless network transmission. Then the mobile signal vehicle is driven away from the mining area and drives to a preset area outside the mining area where there is a mobile base station and a good communication signal. The Internet of Things terminal installed in the mobile signal vehicle establishes a connection with the Internet of Things platform, and the received operating condition data of the offline excavator for a certain period of time, that is, the blind spot data, is uploaded to the Internet of Things platform, so that the offline excavator can stay in the mining area as much time as possible, without moving out of the mining area, thereby ensuring the operating 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 management personnel of the Internet of Things terminal to analyze the operating conditions in the mining area and the subsequent management deployment.

[0062] It should be noted that, for the convenience of description, the aforementioned method embodiments are all described as a series of action combinations, but those skilled in the art should be aware that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0063] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0064] The above is a specific description of the preferred implementation of the present invention, but the invention is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A blind area data transmission method, characterized in that: Applied to a blind spot data transmission system, the blind spot data transmission system includes a mobile signal vehicle, multiple offline excavators and an Internet of Things platform, and the method includes: The mobile signal vehicle is paired and connected with the multiple offline excavators in the mining area; When the target offline excavator is determined to be paired with the mobile signal vehicle, the target offline excavator transmits the corresponding blind spot 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 multiple offline excavators; When determining that the blind spot data collection is completed, the mobile signal vehicle drives to a preset area; The mobile signal vehicle obtains the signal strength of the preset area, and based on the signal strength, transmits the blind spot data to the Internet of Things platform according to a second data protocol format.

2. The blind area data transmission method according to claim 1, characterized in that: The mobile signal vehicle includes a first Internet of Things terminal, each of the multiple offline excavators includes a second Internet of Things terminal, and the mobile signal vehicle is paired with the multiple offline excavators and connected, including: The mobile signal vehicle activates the 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, the target offline excavator sends a connection instruction to the mobile signal vehicle, wherein the connection instruction includes the 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 blind area data transmission method according to claim 2, characterized in that: The method further comprises: The first Internet of Things terminal obtains the coordinates of the positioning points of the mobile signal vehicle according to the second preset time interval to obtain a first positioning point coordinate set; The first Internet of Things terminal calculates the travel speed of the mobile signal vehicle based on the first target positioning point coordinates, wherein the first target positioning point coordinates are three consecutive positioning point coordinates in the first positioning point coordinate set; When the first Internet of Things terminal determines that the driving speed is less than a preset speed threshold, the first target positioning point coordinates are removed from the first positioning point coordinate set to obtain a second location coordinate set; The first Internet of Things terminal determines an angle of coordinates of a second target positioning point, wherein the coordinates of the second target positioning point are three consecutive positioning point coordinates in the second positioning point coordinate set; When the first Internet of Things terminal determines that the angle is less than a preset angle threshold, the mobile signal vehicle is determined to perform a reversing action.

4. The blind area data transmission method according to claim 3, characterized in that: The method further comprises: The Internet of Things platform determines the unloading frequency of the mobile signal vehicle based on the mobile signal vehicle performing a reversing action once; The Internet of Things platform determines the operating efficiency of the multiple offline excavators based on the unloading frequency.

5. The blind area data transmission method according to claim 1, characterized in that: The transmitting the blind area data to the Internet of Things platform according to a second data protocol format based on the signal strength includes: The mobile signal vehicle determines whether to transmit the blind spot data to the Internet of Things platform according to the second data protocol format according to the signal strength and the preset signal strength segmentation interval, wherein 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; When the mobile signal vehicle determines that the signal strength is within the first signal strength threshold interval, the mobile signal vehicle disconnects the communication connection with the Internet of Things platform and does not transmit the blind area data to the Internet of Things platform according to the second data protocol format; When the mobile signal vehicle determines that the signal strength is within the second signal strength threshold range, the mobile signal vehicle transmits the blind spot data to the Internet of Things platform according to the second data protocol format.

6. The blind area data transmission method according to claim 1, characterized in that: The method further comprises: The target offline excavator determines the travel time of the mobile signal vehicle to the preset area; The target offline excavator determines a minimum time period of the first preset time period based on the travel time.

7. The blind area data transmission method according to claim 1, characterized in that: The first data protocol format includes: a packet header, a whole packet data length, an excavator number of the target offline excavator, the blind spot 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 spot data occupies N bytes, N is determined according to the actual length of the blind spot data, the data integrity check value occupies 1 byte, and the packet tail occupies one byte.

8. The blind area data transmission method according to claim 1, characterized in that: The second preset data protocol format includes: 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 excavator 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 one byte.

9. A blind area data transmission system, characterized in that: The system comprises: Mobile signal vehicles, multiple offline excavators and IoT platforms; The mobile signal vehicle is used to pair and connect with the multiple offline excavators; The multiple offline excavators are used to transmit corresponding blind spot data to the mobile signal vehicle according to a first data protocol format when it is determined that pairing with the mobile signal vehicle is completed; The mobile signal vehicle is further used to drive to a preset area when it is determined that the blind spot data collection is completed; The mobile signal vehicle is also used to obtain the signal strength of the preset area, and based on the signal strength, transmit the blind spot data to the Internet of Things platform according to a second data protocol format.

10. The blind area data transmission system according to claim 9, characterized in that: The IoT platform is used to: Obtaining the coordinates of the positioning point of the mobile signal vehicle; Based on the coordinates of the positioning point, it is determined whether the mobile signal vehicle performs a reversing action.

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