Electric scooter abnormal movement detection system

Abstract

The invention relates to the technical field of heavy-load skateboards, and discloses an electric scooter transaction detection system, which comprises a data processing center, a state detection module, a driving control module, a transaction analysis module and a data transmission unit, the state detection module, the driving control module, the transaction analysis module and the data transmission unit are electrically connected with the data processing center; the state detection module is used for detecting the running state of a scooter body, and the driving management module is used for providing power for the scooter to maintain the movement of the scooter body; the transaction analysis module analyzes an abnormal reason when the state detection is abnormal, and feeds back information to the data processing center; the data transmission unit is connected with a field management terminal; the abnormal movement detection system provided by the invention can be matched with the normal operation of the electric scooter, detect the operation state of the electric scooter, and timely obtain information and analyze reasons when an abnormality occurs, so that the normal operation of the electric scooter is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of heavy-loaded skateboards, and more specifically, to an abnormal movement detection system for an electric skateboard. Background Art

[0002] Heavy-duty sliding equipment is a type of mechanical equipment specifically used to move and precisely adjust large or heavy objects. These devices are widely used in the industrial field, especially in scenarios where large components need to be transported. Heavy-duty sliding equipment plays an indispensable role in modern industry and effectively improves production efficiency. When existing electric scooters are transporting objects, they mainly rely on manual external inspection and observation to ensure the normal operation of the transportation process. The process relies on manual implementation, and there are cases of misjudgment, which affects the entire transportation process. Summary of the invention

[0003] In order to overcome the deficiencies of the prior art, the present invention provides an electric scooter abnormal movement detection system, which has the advantage of more precise operation.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electric scooter abnormal movement detection system, comprising: a data processing center, a state detection module, a drive control module, an abnormal movement analysis module and a data transmission unit, wherein the state detection module, the drive control module, the abnormal movement analysis module and the data transmission unit are all electrically connected to the data processing center; the state detection module is used to detect the running state of the scooter body, and the drive control module is used to provide power to the scooter to maintain the movement of the body; the abnormal movement analysis module analyzes the abnormal cause when the state detection is abnormal, and feeds back the information to the data processing center; the data transmission unit is connected to a field management terminal.

[0005] As a preferred technical solution of the present invention, the state detection module is provided with a load bearing detection unit and a body movement detection unit. The load bearing detection unit is composed of a plurality of pressure sensors for detecting the weight of the heavy object placed on the load plate; the body movement detection unit is composed of a plurality of displacement sensors for detecting the displacement of the scooter body when it moves.

[0006] As a preferred technical solution of the present invention, the status detection module is also provided with a vehicle position detection unit, which is composed of several groups of Bluetooth signal transmitters and receivers. Several groups of Bluetooth positioning points are set in the vehicle activity area, and the position of the vehicle in the area is determined through information interaction between the Bluetooth signal transmitter and receiver and the Bluetooth positioning points.

[0007] As a preferred technical solution of the present invention, the driving control module is composed of a main mobile power unit and an auxiliary mobile power unit. The main mobile power unit is used to provide the main power for the movement of the scooter body, and the auxiliary mobile power unit is used as an auxiliary. The power provided by the main mobile power unit and the auxiliary mobile power unit in the driving accounts for 1:0.1~0.15.

[0008] As a preferred technical solution of the present invention, the power source of the main mobile power unit and the auxiliary mobile power unit is any one of a motor, a cylinder, and a hydraulic drive.

[0009] As a preferred technical solution of the present invention, the drive control module is also provided with a brake power unit, which is used to provide resistance to limit the movement of the vehicle body.

[0010] As a preferred technical solution of the present invention, the abnormal movement analysis module obtains the load weight, displacement and position information of the scooter body through the state detection module to determine whether there is overloading or abnormal position change.

[0011] As a preferred technical solution of the present invention, the abnormal movement analysis module is provided with an abnormal movement risk judgment unit, which gives a risk degree according to the abnormal state of the vehicle movement and feeds back alarm information to the data processing center.

[0012] As a preferred technical solution of the present invention, the connection method between the field management terminal and the data transmission unit is any one of wireless connection, wired connection, Bluetooth connection, and ZigBee connection; and the field management terminal is connected to several groups of data transmission units of the data processing center.

[0013] As a preferred technical solution of the present invention, the data processing center is connected to a cloud server via a network, and the cloud server is connected to a remote service client; the remote service client and the on-site management terminal are any one of a laptop computer, a desktop computer, a smart phone, and a tablet computer.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the abnormal movement detection system provided by the present invention can detect the operating status of the electric scooter in conjunction with its normal operation, and obtain information in time when an abnormality occurs, and analyze the cause, thereby ensuring the normal operation of the electric scooter. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the structure of the present invention;

[0016] In the figure: 1. Data processing center; 2. Status detection module; 3. Drive control module; 4. Abnormal movement analysis module; 5. Data transmission unit; 6. Cloud server; 7. Remote service client; 8. Load bearing detection unit; 9. Vehicle movement detection unit; 10. Vehicle position detection unit; 11. Main mobile power unit; 12. Auxiliary mobile power unit; 13. Braking power unit; 14. Abnormal movement risk judgment unit; 15. On-site management terminal. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, the present invention provides an abnormal movement detection system for an electric scooter, comprising: a data processing center 1, a state detection module 2, a drive control module 3, an abnormal movement analysis module 4 and a data transmission unit 5, wherein the state detection module 2, the drive control module 3, the abnormal movement analysis module 4 and the data transmission unit 5 are all electrically connected to the data processing center 1.

[0019] The running state of the scooter body is detected by the state detection module 2, and the load weight, displacement and position information of the scooter body are obtained, which are used for the abnormal analysis module 4 to analyze the abnormal cause and feed the information back to the data processing center 1; the scooter is powered by the drive control module 3 to maintain the movement of the body, and the data transmission unit 5 is connected to the on-site management terminal 15 for on-site management.

[0020] Among them, the state detection module 2 is provided with a load bearing detection unit 8 and a body movement detection unit 9. The load bearing detection unit 8 is composed of a plurality of pressure sensors for detecting the weight of the heavy object placed on the load plate; the body movement detection unit 9 is composed of a plurality of displacement sensors for detecting the displacement of the scooter body when it moves.

[0021] The load bearing detection unit 8 can detect the load weight, thereby avoiding the occurrence of overload and damage to the equipment; the vehicle movement detection unit 9 obtains the displacement of the vehicle body to assist in verifying the position of the movement.

[0022] Among them, the status detection module 2 is also provided with a vehicle position detection unit 10, which is composed of several groups of Bluetooth signal transmitters and receivers. Several groups of Bluetooth positioning points are set in the vehicle activity area. The position of the vehicle in the area is determined through information interaction between the Bluetooth signal transmitter and receiver and the Bluetooth positioning points.

[0023] The vehicle position detection unit 10 can exchange information with the positioning points set in the area, so as to determine the position of the vehicle, facilitate positioning, and thus facilitate the handling work.

[0024] The driving control module 3 is composed of a main mobile power unit 11 and an auxiliary mobile power unit 12. The main mobile power unit 11 is used to provide the main power for the movement of the scooter body, and the auxiliary mobile power unit 12 is used as an auxiliary. The power provided by the main mobile power unit 11 and the auxiliary mobile power unit 12 in the driving is 1:0.1-0.15. The power source of the main mobile power unit 11 and the auxiliary mobile power unit 12 is any one of a motor, a cylinder, and a hydraulic drive. The driving control module 3 is also provided with a braking power unit 13, which is used to provide resistance to limit the movement of the vehicle body.

[0025] The main mobile power unit 11 and the auxiliary mobile power unit 12 cooperate with each other to provide power, reducing the workload of a single power unit and improving stability, so that the unit can still work after a single power unit fails.

[0026] The abnormal movement analysis module 4 obtains the load weight, displacement and position information of the scooter body through the state detection module 2 to determine whether there is overload or abnormal position change. The abnormal movement analysis module 4 is provided with an abnormal movement risk judgment unit 14, which gives a risk level according to the abnormal state of the body movement and feeds back alarm information to the data processing center 1.

[0027] The abnormal movement analysis module 4 compares the actual position of the vehicle body with the expected position change to determine whether an abnormal movement has occurred, and can give a risk level for the degree of the abnormal movement, so that the on-site management terminal 15 can make an on-the-spot judgment.

[0028] The connection mode between the field management terminal 15 and the data transmission unit 5 is any one of wireless connection, wired connection, Bluetooth connection, and Zigbee connection; and the field management terminal 15 is connected to several groups of data transmission units 5 of the data processing center 1. The data processing center 1 is connected to a cloud server 6 through the network, and the cloud server 6 is connected to a remote service client 7; the remote service client 7 and the field management terminal 15 are any one of a laptop computer, a desktop computer, a smart phone, and a tablet computer.

[0029] The on-site management terminal 15 can be responsible for the work of multiple groups of electric scooters, with various connection methods and wider practicality. The remote service client 7 can access data through the cloud server 6 to facilitate remote management.

[0030] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electric scooter abnormal movement detection system, characterized in that: The invention comprises: a data processing center (1), a state detection module (2), a drive control module (3), an abnormal movement analysis module (4) and a data transmission unit (5); the state detection module (2), the drive control module (3), the abnormal movement analysis module (4) and the data transmission unit (5) are all electrically connected to the data processing center (1); the state detection module (2) is used to detect the running state of the scooter body, and the drive control module (3) is used to provide power to the scooter to maintain the movement of the body; The abnormality analysis module (4) analyzes the cause of the abnormality when the status detection is abnormal, and feeds back the information to the data processing center (1); the data transmission unit (5) is connected to the on-site management terminal (15).

2. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The state detection module (2) is provided with a load bearing detection unit (8) and a vehicle body movement detection unit (9); the load bearing detection unit (8) is composed of a plurality of groups of pressure sensors for detecting the weight of a heavy object placed on a load plate; the vehicle body movement detection unit (9) is composed of a plurality of groups of displacement sensors for detecting the displacement of the scooter body when it moves.

3. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The state detection module (2) is also provided with a vehicle position detection unit (10), which is composed of a plurality of groups of Bluetooth signal transmitters and receivers. A plurality of groups of Bluetooth positioning points are provided in the vehicle activity area, and the position of the vehicle in the area is determined by information interaction between the Bluetooth signal transmitters and receivers and the Bluetooth positioning points.

4. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The driving control module (3) is composed of a main mobile power unit (11) and an auxiliary mobile power unit (12), wherein the main mobile power unit (11) is used to provide the main power for the movement of the scooter body, and the auxiliary mobile power unit (12) is used as an auxiliary, wherein the power provided by the main mobile power unit (11) and the auxiliary mobile power unit (12) in the driving process accounts for 1:0.1-0.

15.

5. The electric scooter abnormal movement detection system according to claim 4, characterized in that: The power source of the main mobile power unit (11) and the auxiliary mobile power unit (12) is any one of a motor, a cylinder, and a hydraulic drive.

6. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The driving control module (3) is also provided with a braking power unit (13), and the braking power unit (13) is used to provide resistance to limit the movement of the vehicle body.

7. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The abnormal movement analysis module (4) obtains the load weight, displacement and position information of the scooter body through the state detection module (2) to determine whether there is an overload or abnormal position change.

8. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The abnormal movement analysis module (4) is provided with an abnormal movement risk judgment unit (14), and the abnormal movement risk judgment unit (14) gives a risk degree according to the abnormal state of vehicle movement and feeds back alarm information to the data processing center (1).

9. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The connection mode between the field management terminal (15) and the data transmission unit (5) is any one of wireless connection, wired connection, Bluetooth connection, and Zigbee connection; and the field management terminal (15) is connected to the data transmission units (5) of several groups of data processing centers (1).

10. The electric scooter abnormal movement detection system according to claim 1, characterized in that: The data processing center (1) is connected to a cloud server (6) via a network, and the cloud server (6) is connected to a remote service client (7); the remote service client (7) and the on-site management terminal (15) are any one of a laptop computer, a desktop computer, a smart phone, and a tablet computer.

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