A machine tool remote monitoring method and system

Abstract

The present invention proposes a remote monitoring method and system for machine tools. The Internet of Things acquisition terminal obtains the operating status data and positioning data of the machine tool according to the acquisition frequency set by the cloud server. The cloud server modifies the acquisition frequency according to the state type of the machine tool. When the positioning data is abnormal, an early warning can be issued in time. The present invention realizes the connection between the machine tool and the cloud server through the Internet of Things acquisition terminal. There is no need to set up a special positioning module or manual on-site inspection, which saves the cost of supervision. The positioning data of the machine tool is combined with the operating status data of the equipment, and different acquisition frequencies and different disposal methods are used for different operating states of the machine tool, which not only reduces the amount of data processing, but also can more effectively improve the quality of supervision.

Description

Technical Field

[0001] The present invention relates to the field of industrial control, and in particular to a remote monitoring method and system for a machine tool. Background Art

[0002] The machine tool equipment manufacturer has the need for real-time positioning and abnormal movement warning of the machine tools it provides to users. The location of machine tools is usually managed by manually confirming on-site or installing a dedicated positioning module on the machine tools. Both have their own disadvantages: manual confirmation requires a lot of manpower and time costs, and real-time monitoring is impossible. The installation of positioning modules is costly and easily interfered with, and the positioning information naturally drifts, which can cause false alarms.

[0003] In addition, simply collecting positioning information cannot determine the status of abnormal movement of equipment. Therefore, existing technologies and solutions are costly, provide simple positioning information, are difficult to manage a large number of equipment at the same time, cannot associate positioning data with equipment operating status, and cannot perform data analysis. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a machine tool remote monitoring method and system.

[0005] The main contents of the present invention include:

[0006] A machine tool remote monitoring method, comprising:

[0007] The IoT acquisition terminal obtains the operating status data and positioning data of the machine tool to be supervised according to the acquisition frequency set by the cloud server, and transmits it to the cloud server through the 4G network;

[0008] The cloud server analyzes and calculates the machine tool's operating status data and positioning data in time series to obtain the machine tool's positioning point cloud map and the machine tool's status type;

[0009] The cloud server modifies the acquisition frequency according to the state type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the modified acquisition frequency;

[0010] The cloud server compares the positioning point cloud map of the machine tool with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters a warning state.

[0011] Preferably, the cloud server modifies the acquisition frequency according to the state type of the machine tool, including:

[0012] The status types of the machine tool include running, debugging, alarm, idle, and shutdown;

[0013] When the state type of the machine tool is operation or debugging, the cloud server reduces the collection frequency according to the set rules;

[0014] When the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the collection frequency according to a set rule.

[0015] Preferably, when the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the acquisition frequency according to a set rule, including:

[0016] When the machine tool is in idle state, obtain the duration of the idle state;

[0017] It is determined whether the duration exceeds the set duration. If it does not exceed the set duration, the collection frequency is increased according to the set rules; if it exceeds the set duration, the cloud server enters a warning state.

[0018] Preferably, when the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the acquisition frequency according to a set rule, including:

[0019] When the machine tool is in shutdown state, the cloud server enters the warning state.

[0020] Preferably, the supervision method further comprises the following steps:

[0021] The cloud server obtains the operating status of the IoT acquisition terminal;

[0022] When the IoT collection terminal is disconnected from the cloud server, the cloud server enters the warning state;

[0023] When the IoT acquisition terminal is connected to the cloud server, and the cloud server fails to obtain the machine tool's operating status data and / or the machine tool's positioning data within the set time, the cloud server enters a warning state.

[0024] Preferably, when the IoT acquisition terminal is connected to the cloud server, the cloud server obtains the operating status data of the machine tool according to the set acquisition frequency. If the positioning data of the machine tool is not obtained within the set time, the cloud server issues an early warning of the IoT acquisition terminal failure.

[0025] The present invention also proposes a machine tool remote monitoring system, comprising a cloud server, a plurality of Internet of Things acquisition terminals and a plurality of machine tools to be monitored; the cloud server is connected to the plurality of Internet of Things acquisition terminals in a one-to-many manner; the Internet of Things acquisition terminals are connected to the machine tools to be monitored in a one-to-one or many-to-many manner;

[0026] The IoT acquisition terminal acquires the operating status data and positioning data of the machine tool to be supervised according to the acquisition frequency set by the cloud server, and transmits the data to the cloud server via the 4G network;

[0027] The cloud server analyzes and calculates the machine tool's operating status data and positioning data in time series to obtain the machine tool's positioning point cloud map and the machine tool's status type;

[0028] The cloud server modifies the acquisition frequency according to the state type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the modified acquisition frequency;

[0029] The cloud server compares the positioning point cloud map of the machine tool with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters a warning state.

[0030] Preferably, the Internet of Things acquisition terminal is connected to the heartbeat of the machine tool to be supervised.

[0031] Preferably, when the disconnection time between the Internet of Things acquisition terminal and the machine tool to be supervised connected thereto exceeds a set time threshold, the machine tool to be supervised stops working.

[0032] Compared with the prior art, the present invention proposes a machine tool remote monitoring method and system having the following beneficial effects:

[0033] (1) The connection between the machine tool and the cloud server is realized through the IoT acquisition terminal, which does not require the installation of a special positioning module or manual on-site inspection, thus saving supervision costs;

[0034] (2) The connection between the machine tool and the cloud server is realized through the IoT data collection terminal. Different IoT data collection terminals are adapted to different machine tools, but all use 4G communication to communicate with the cloud server, which reduces the configuration cost of collecting machine tool data. The use of 4G communication can ensure the speed and reliability of communication;

[0035] (3) Combining the positioning data of the machine tool with the operating status data of the equipment, and using different collection frequencies and different treatment methods for different operating statuses of the machine tool, not only reduces the amount of data processing, but also can more effectively improve the quality of supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0037] The technical solution protected by the present invention is described in detail below with reference to the accompanying drawings.

[0038] See also Figure 1 The present invention proposes a machine tool remote monitoring method, comprising the following steps:

[0039] (1) After the IoT acquisition terminal is powered on, it immediately establishes communication with the cloud server; the cloud server uses the positioning data and operating status data of the machine tool collected daily to pre-set the standard positioning range data and acquisition frequency of the corresponding machine tool; the IoT acquisition terminal periodically obtains the operating status data and positioning data of the corresponding machine tool according to the acquisition frequency, and transmits them to the cloud server through the 4G network for calculation and analysis; in this embodiment, the 4G network has a fast data transmission rate, which can achieve a transmission reading of 10Mbit / s, and the 4G network can achieve positioning in seconds. The positioning frequency can be adjusted as needed, and the delay of the position return can be reduced to microseconds, making the position transmission faster; and the 4G network can be implemented in places where there are mobile base stations, without being affected by indoor and outdoor conditions, thereby reducing the cost of communication.

[0040] When the Internet of Things acquisition terminal cannot normally obtain the operating status data or positioning data of the machine tool, it can wait for a set time. If it is still not transmitted normally after the set time, if the operating status data of the machine tool still cannot be normally obtained after the set time, it is determined that the equipment status is abnormal, and the cloud server can enter the early warning state and issue an early warning according to the set early warning method; if the positioning data of the machine tool cannot be normally obtained after the set time, it is determined that the equipment positioning is abnormal, and the cloud server can enter the early warning state.

[0041] Furthermore, when the IoT acquisition terminal is connected to the cloud server, the cloud server obtains the operating status data of the machine tool according to the set acquisition frequency. If the positioning data of the machine tool is not obtained within the set time, the cloud server issues an early warning of the IoT acquisition terminal failure.

[0042] (2) The cloud server receives the data sent by the IoT acquisition terminal, analyzes and calculates the machine tool's operating status data and positioning data in time series, and obtains a cloud map of the machine tool's positioning points and the machine tool's status type;

[0043] On the one hand, the cloud server corrects the acquisition frequency according to the status type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the corrected acquisition frequency; on the other hand, the positioning point cloud map of the machine tool is compared with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters the early warning state; for the data with correct positioning, it is added to the normal positioning point data, and the positioning standard range is maintained.

[0044] Specifically, the cloud server modifies the acquisition frequency according to the status type of the machine tool, including increasing or decreasing the acquisition frequency; when the status type of the machine tool is operation or debugging, the cloud server decreases the acquisition frequency according to the set rules; when the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the acquisition frequency according to the set rules.

[0045] Furthermore, when the machine tool is in an idle state, the duration of the idle state is obtained; it is determined whether the duration exceeds the set duration, and if not, the collection frequency is increased according to the set rules; if exceeded, the cloud server enters a warning state.

[0046] Preferably, when the status type of the machine tool is alarm, idle and shutdown, the cloud server increases the collection frequency according to the set rules, that is, the collection frequency can be corrected according to the pre-set correction weight; in this embodiment, when the status of the machine tool is shutdown, the cloud server enters the early warning state, that is, when the machine tool is shut down, it cannot be connected to the Internet of Things acquisition terminal, and the positioning data cannot be reported. The early warning can only be eliminated after the intervention of relevant personnel.

[0047] In this embodiment, the IoT acquisition terminal and the machine tool connected thereto adopt a heartbeat connection. When the disconnection time between the two exceeds a set time threshold, the machine tool to be supervised stops working to prevent the user from destroying the connection between the IoT acquisition terminal and the machine tool.

[0048] In addition, the present invention also proposes a machine tool remote monitoring system, comprising a cloud server, a plurality of Internet of Things acquisition terminals and a plurality of machine tools to be monitored; the cloud server is connected to the plurality of Internet of Things acquisition terminals in a one-to-many manner; the Internet of Things acquisition terminals are connected to the machine tools to be monitored in a one-to-one or many-to-many manner;

[0049] The IoT acquisition terminal acquires the operating status data and positioning data of the machine tool to be supervised according to the acquisition frequency set by the cloud server, and transmits the data to the cloud server via the 4G network;

[0050] The cloud server analyzes and calculates the machine tool's operating status data and positioning data in time series to obtain the machine tool's positioning point cloud map and the machine tool's status type;

[0051] The cloud server modifies the acquisition frequency according to the state type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the modified acquisition frequency;

[0052] The cloud server compares the positioning point cloud map of the machine tool with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters a warning state.

[0053] Preferably, the Internet of Things acquisition terminal is connected to the heartbeat of the machine tool to be supervised.

[0054] Preferably, when the disconnection time between the Internet of Things acquisition terminal and the machine tool to be supervised connected thereto exceeds a set time threshold, the machine tool to be supervised stops working.

[0055] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A machine tool remote monitoring method, characterized in that: include: The IoT acquisition terminal obtains the operating status data and positioning data of the machine tool to be supervised according to the acquisition frequency set by the cloud server, and transmits it to the cloud server through the 4G network; The cloud server analyzes and calculates the machine tool's operating status data and positioning data in time series to obtain the machine tool's positioning point cloud map and the machine tool's status type; The cloud server modifies the acquisition frequency according to the state type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the modified acquisition frequency; The cloud server compares the positioning point cloud map of the machine tool with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters a warning state.

2. A machine tool remote monitoring method according to claim 1, characterized in that: The cloud server modifies the acquisition frequency according to the state type of the machine tool, including: The status types of the machine tool include running, debugging, alarm, idle, and shutdown; When the state type of the machine tool is operation or debugging, the cloud server reduces the collection frequency according to the set rules; When the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the collection frequency according to a set rule.

3. A machine tool remote monitoring method according to claim 2, characterized in that: When the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the collection frequency according to the set rules, including: When the machine tool is in idle state, obtain the duration of the idle state; It is determined whether the duration exceeds the set duration. If it does not exceed the set duration, the collection frequency is increased according to the set rules; if it exceeds the set duration, the cloud server enters a warning state.

4. A machine tool remote monitoring method according to claim 2, characterized in that: When the status type of the machine tool is alarm, idle, or shutdown, the cloud server increases the collection frequency according to the set rules, including: When the machine tool is in shutdown state, the cloud server enters the warning state.

5. A machine tool remote monitoring method according to claim 1, characterized in that: The supervision method further comprises the following steps: The cloud server obtains the operating status of the IoT acquisition terminal; When the IoT collection terminal is disconnected from the cloud server, the cloud server enters the warning state; When the IoT acquisition terminal is connected to the cloud server, and the cloud server fails to obtain the machine tool's operating status data and / or the machine tool's positioning data within the set time, the cloud server enters a warning state.

6. A machine tool remote monitoring method according to claim 5, characterized in that: When the IoT acquisition terminal is connected to the cloud server, the cloud server obtains the operating status data of the machine tool according to the set acquisition frequency. If the positioning data of the machine tool is not obtained within the set time, the cloud server will issue an early warning of the IoT acquisition terminal failure.

7. A system using a machine tool remote monitoring method as claimed in any one of claims 1 to 6, characterized in that: It includes a cloud server, several Internet of Things acquisition terminals and several machine tools to be supervised; the cloud server is connected to several of the Internet of Things acquisition terminals in a one-to-many manner; the Internet of Things acquisition terminals are connected to the machine tools to be supervised in a one-to-one or many-to-many manner; The IoT acquisition terminal acquires the operating status data and positioning data of the machine tool to be supervised according to the acquisition frequency set by the cloud server, and transmits the data to the cloud server through the 4G network; The cloud server analyzes and calculates the machine tool's operating status data and positioning data in time series to obtain the machine tool's positioning point cloud map and the machine tool's status type; The cloud server modifies the acquisition frequency according to the state type of the machine tool, and controls the Internet of Things acquisition terminal to obtain the positioning data of the machine tool to be supervised according to the modified acquisition frequency; The cloud server compares the positioning point cloud map of the machine tool with the pre-stored positioning standard range. If the number of points in the positioning point cloud map that exceed the positioning standard range is greater than the set value, the cloud server enters a warning state.

8. A machine tool remote monitoring system according to claim 7, characterized in that: The Internet of Things acquisition terminal is connected to the heartbeat of the machine tool to be supervised.

9. A machine tool remote monitoring system according to claim 8, characterized in that: When the disconnection time between the Internet of Things acquisition terminal and the machine tool to be supervised connected thereto exceeds a set time threshold, the machine tool to be supervised stops working.

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