CN109753012B - Processing machine remote control method, device and system based on cloud platform - Google Patents
Processing machine remote control method, device and system based on cloud platform Download PDFInfo
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Abstract
The embodiment of the invention provides a processing machine remote control method, a device and a system based on a cloud platform, wherein the method comprises the following steps: receiving a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address; determining machining data required by the current machining and indicated by the remote machining instruction from machining data stored locally as machining data to be sent; and according to the processing machine address, sending the remote processing instruction to a processing machine with the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine. By applying the embodiment of the invention, the efficiency of remote control of the processing machine can be improved.
Description
Technical Field
The invention relates to the field of remote control, in particular to a processing machine remote control method, device and system based on a cloud platform.
Background
With the development of network technology and the increase of network speed, remote control technical support has gradually occupied the mainstream of technical support. The remote control of the processing machine means that an operator does not control the processing machine on site, and the processing machine is controlled in real time and accurately through network communication. Therefore, the remote control of the processing machine is realized, the processing operators can be reduced, the processing cost is reduced, and the processing efficiency can be improved.
The conventional processing machine remote control method is based on a router to remotely control the processing machine. Specifically, the processing machine is connected with the router through a Wireless Fidelity (WIFI) connection mode, then the remote network control end sends the remote processing instruction and the processing data to the router, the router forwards the remote processing instruction and the processing data to the processing machine according to the address of the processing machine carried by the remote processing instruction, the processing machine receives the remote processing instruction and the processing data and processes the remote processing instruction and the processing data, meanwhile, the processing state of the processing machine is sent to the remote network control end through the router, the remote network control end receives the processing state of the processing machine, and determines the subsequent remote processing instruction according to the processing state.
However, in the conventional remote control method for the processing machine, since the processing machines are connected to the router through the WIFI connection method, the processing machines are all in the same lan, that is, the remote network controls the processing machines in the lan, and for the processing machines not in the lan, the remote network control end cannot control the processing machines, and since the router can only forward the processing data to the processing machines, and for the relatively large processing data, the processing machines cannot receive all the processing data at one time, the remote network control end is also required to transmit the processing data to the processing machines in time according to the processing schedule of the processing machines, which all results in low efficiency of remote control of the processing machines.
Disclosure of Invention
The embodiment of the invention aims to provide a processing machine remote control method, device and system based on a cloud platform so as to improve the efficiency of processing machine remote control. The specific technical scheme is as follows:
in a first aspect, the embodiment of the invention discloses a processing machine remote control method based on a cloud platform, which is applied to a cloud end, and the method comprises the following steps:
receiving a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address;
determining machining data required by the current machining and indicated by the remote machining instruction from machining data stored locally as machining data to be sent;
and according to the processing machine address, sending the remote processing instruction to a processing machine with the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine.
Optionally, the sending the to-be-sent processed data to the processing machine in batches includes:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Optionally, the method further includes:
receiving a processing state returned by the processing machine after the processing machine executes the remote processing instruction;
and sending the processing state to the remote network control terminal.
Optionally, the locally stored processing data is sent by the remote network control terminal in advance.
In a second aspect, an embodiment of the present invention discloses a processing machine remote control method based on a cloud platform, which is applied to a remote network control end, and the method includes:
generating a remote processing instruction for instructing a processing machine to perform the processing, wherein the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
and sending the remote processing instruction to a cloud end so that the cloud end sends the remote processing instruction to a processing machine with the processing machine address according to the processing machine address, and sends processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine.
Optionally, the method further includes:
receiving a processing state returned by the cloud, wherein the processing state is the processing state returned by the processing machine received by the cloud after the processing machine executes the remote processing instruction;
and displaying the processing state.
Optionally, the method further includes:
and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
In a third aspect, an embodiment of the present invention discloses a processing machine remote control device based on a cloud platform, which is applied to a cloud, and the device includes:
the first receiving module is used for receiving a remote processing instruction sent by a remote network control end, and the remote processing instruction carries a processor address;
the determining module is used for determining the machining data required by the machining, indicated by the remote machining instruction, in the machining data stored locally as the machining data to be sent;
and the first sending module is used for sending the remote machining instruction to the machining machine with the machining machine address according to the machining machine address and sending the to-be-sent machining data to the machining machine in batches, and the data volume sent each time is not more than the data storage volume of the machining machine.
Optionally, the first sending module is specifically configured to:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Optionally, the apparatus further comprises:
the second receiving module is used for receiving the processing state returned by the processing machine after the remote processing instruction is executed;
and the second sending module is used for sending the processing state to the remote network control end.
Optionally, the locally stored processing data is sent by the remote network control terminal in advance.
In a fourth aspect, an embodiment of the present invention discloses a processing machine remote control device based on a cloud platform, which is applied to a remote network control end, and is characterized in that the device includes:
the remote processing instruction carries the address of the processing machine, and can indicate processing data required by the processing;
the sending module is used for sending the remote processing instruction to a cloud end so that the cloud end sends the remote processing instruction to a processing machine with the processing machine address according to the processing machine address, and sends processing data to be sent to the processing machine in batches, and the data volume sent each time is not larger than the data storage volume of the processing machine.
Optionally, the apparatus further comprises:
the receiving module is used for receiving a processing state returned by the cloud end, wherein the processing state is the processing state returned by the processing machine received by the cloud end after the processing machine executes the remote processing instruction;
and the display module is used for displaying the processing state.
Optionally, the apparatus further comprises:
and the triggering module is used for triggering the generation and the sending of the next remote machining instruction when the received machining state indicates that the machining is finished.
In a fifth aspect, the embodiment of the invention discloses a cloud device, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is configured to implement the processing machine remote control method based on the cloud platform according to the first aspect when executing the program stored in the memory.
In a sixth aspect, an embodiment of the present invention discloses a remote network control device, which includes a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is configured to implement the processing machine remote control method based on the cloud platform according to the second aspect when executing the program stored in the memory.
In a seventh aspect, an embodiment of the present invention discloses a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for remotely controlling a processing machine based on a cloud platform in the first aspect is implemented.
In an eighth aspect, an embodiment of the present invention discloses a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for remotely controlling a processing machine based on a cloud platform according to the second aspect is implemented.
In a ninth aspect, an embodiment of the present invention discloses a processing machine remote control system based on a cloud platform, including: remote network control end, high in the clouds and processing machine, wherein:
the remote network control terminal is used for generating a remote processing instruction for instructing the processing machine to perform the processing, and sending the remote processing instruction to the cloud, wherein the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
the cloud end is used for receiving the remote processing instruction, determining processing data required by the processing indicated by the remote processing instruction in the processing data stored locally as to-be-processed data, sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, sending the to-be-processed data to the processing machine in batches, and sending the to-be-processed data to the processing machine in batches, wherein the data storage amount sent each time is not more than the data storage amount of the processing machine;
and the processing machine is used for receiving the remote processing instruction and the processing data to be sent.
Optionally, the processing machine is further configured to:
returning the processing state to the cloud after the remote processing instruction is executed;
correspondingly, the cloud is further configured to:
receiving the processing state and sending the processing state to the remote network control end;
correspondingly, the remote network control end is further configured to:
and receiving the machining state and displaying the machining state.
Optionally, the remote network control end is further configured to:
and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
Optionally, the cloud is specifically configured to:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Optionally, the locally stored processing data is sent by the remote network control terminal in advance.
The embodiment of the invention provides a processing machine remote control method, a device and a system based on a cloud platform, which are characterized in that a remote processing instruction sent by a remote network control end is received, and the remote processing instruction carries a processing machine address; determining machining data required by the current machining and indicated by the remote machining instruction from machining data stored locally as machining data to be sent; and according to the processing machine address, sending the remote processing instruction to a processing machine with the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved. Of course, it is not necessary for any product or method of practicing the invention to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a remote control method for a processing machine based on a cloud platform according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a cloud platform-based processing machine remote control method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cloud platform-based processing machine remote control system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cloud platform-based remote control device for a processing machine according to an embodiment of the present invention;
fig. 5 is another schematic structural diagram of a cloud platform-based processing machine remote control device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a cloud device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another remote network control end device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The remote control of the processing machine is usually realized by remotely controlling the processing machine under the network environment with an open internet without an operator on site, so that the number of processing operators can be reduced. However, the existing method for remotely controlling the processing machine is to realize remote control by connecting a line in a local area network, and in the case of large processing data, the transmission of the data cannot be controlled, which all results in low efficiency of remote control of the processing machine. Based on the above, the invention provides the processing machine remote control method based on the cloud platform, which realizes the remote control of the processing machine by exchanging instructions and data through the cloud end, and can improve the efficiency of the remote control of the processing machine. The specific scheme is as follows:
referring to fig. 1, fig. 1 is a schematic flow chart of a processing machine remote control method based on a cloud platform according to an embodiment of the present invention, including the following steps:
and S101, receiving a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address.
Specifically, the remote network control end aims to send the remote processing instruction to the corresponding processing machine, so that the remote processing instruction carries the address of the processing machine, and the corresponding processing machine can be found only through the address of the processing machine. In addition, the processing data sent by the remote network control terminal is received in advance and stored in the cloud, so that when the cloud needs to send the processing data to the processing machine, the processing data can be transmitted in real time. Here, the address of each processing machine is set by a local network controller, and the local network controller is responsible for discovering and setting the processing machines of the local network and displaying the states of the processing machines of the local network, wherein the local network controller discovers the processing machines of the local network by sending and receiving multicast frames, and setting the local network includes setting a network address, a subnet mask, a gateway, a domain name server, a cloud host name, a name, an address, a telephone, and the like of the processing machine. Different processing machine addresses are set for different processing machines through the local network, the remote network control end can find the corresponding processing machine through the processing machine addresses, and the processing machines set by the local network control end can not be connected in the same local network.
And S102, determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally as machining data to be sent.
Specifically, the machining data sent to the machining machine by the remote network control end every time are relatively large, so that the machining data are stored in the cloud in advance, after the cloud receives the remote machining instruction, the machining data corresponding to the remote machining instruction are found in the cloud, and the machining data required by the machining at this time indicated by the remote machining instruction are used as the machining data to be sent. Here, the local storage refers to a cloud or a cloud server.
S103, according to the processing machine address, the remote processing instruction is sent to the processing machine with the processing machine address, the processing data to be sent are sent to the processing machine in batches, and the data volume sent each time is not larger than the data storage volume of the processing machine.
Specifically, the remote machining instruction and the machining data are sent to the processing machine through the cloud, and the machining data are sent to the processing machine in batches, because when the cloud sends the machining data to the processing machine, the data storage capacity of the processing machine is limited, all the machining data corresponding to the remote machining instruction are large, all the machining data are sent to the processing machine in batches, and the data volume sent each time cannot be larger than the data storage capacity of the processing machine, so that the processing machine can normally process the machining data. In addition, the cloud end can control the processing data through the processing control software so as to realize batch sending of the processing data and improve the processing efficiency of the processing machine. The processing machine according to the present invention may be a machine for processing various products, such as a denture processing machine.
Therefore, according to the processing machine remote control method based on the cloud platform provided by the embodiment of the invention, a remote processing instruction sent by a remote network control end is received, and the remote processing instruction carries a processing machine address; determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally as machining data to be sent; and sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
In an optional embodiment of the present invention, the to-be-sent processed data is sent to the processing machine in batches, which may specifically be:
and sending part of data, which is not more than the data storage capacity of the processing machine, of the processing data to be sent to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Specifically, the amount of data that can be stored on the hard disk of each processing machine is limited, and when the amount of data to be processed by the processing machine is large, the hard disk of the processing machine cannot store all of the data, which requires that the processing data be sent in batches, and the processing data sent each time cannot be larger than the data storage amount of the processing machine. Therefore, the processing machine can process part of the sent data firstly, meanwhile, the processing state of the data during processing is fed back to the cloud end, after the cloud end receives the processing state, whether the processing progress represented by the processing state is a preset progress threshold value or not can be judged firstly through processing control software, here, the preset progress can be set according to actual requirements, for example, the processing progress is 90%, the situation that only 10% of the processing data is left without processing is shown, if the processing progress is the preset progress threshold value, next data transmission to the processing machine is started until all the processing data to be sent are sent to the processing machine. And processing data is sent to the processing machine through processing control software at the cloud end, so that the remote control efficiency of the processing machine is improved.
The processing machine remote control method based on the cloud platform provided by the embodiment of the invention further comprises the following steps: and receiving the processing state returned by the processing machine after the processing machine executes the remote processing instruction, and sending the processing state to the remote network control end.
Specifically, after the processing machine executes the processing instruction sent by the cloud, the processing machine starts processing according to the processing data corresponding to the instruction, and simultaneously feeds back the processing state to the cloud. Wherein the processing state comprises: idle, in-process, pause, in-process file, in-process progress, real-time video, etc. The cloud end receives the processing state of the processing machine and sends the processing state to the remote network control end, so that the remote network control end can monitor the processing state of the processing machine in real time and set a next remote processing instruction according to the processing state, for example, when the processing state indicates that the processing is finished, the generation and sending of the next remote processing instruction can be triggered.
In addition, the processing data stored locally in the embodiment of the invention is sent by the remote network control terminal in advance.
Here, since the processing data is relatively large and the processing data may be repeatedly processed by different processing machines, the processing data is transmitted to the cloud in advance and stored in the cloud, and the processing data is directly transmitted through the cloud when needed. Therefore, the time for the remote network control end to send data to the cloud end can be saved, the same type of processing data can be prevented from being repeatedly sent, and the efficiency of remote network control of the processing machine is improved.
Referring to fig. 2, fig. 2 is another schematic flow chart of a processing machine remote control method based on a cloud platform according to an embodiment of the present invention, including the following steps:
s201, a remote processing instruction is generated for instructing the processing machine to perform the current processing, the remote processing instruction carries a processing machine address of the processing machine, and the remote processing instruction can instruct processing data required for the current processing.
Specifically, remote network control end mainly is responsible for setting up remote processing machine, sends remote processing instruction for remote processing machine, and wherein, it includes to set up remote processing machine: the name, telephone, address, command, processing data (processing file, processing order, etc.) and the like of the place where the processing machine is located are set, and the processing machine set here is identical to the processing machine set at the local network control side. Since the processing machine is controlled by the remote network control end to perform processing, the remote network control end is required to send a remote processing instruction to the processing machine, and the remote processing instruction carries an address of the processing machine, so that the remote processing instruction can be sent to the corresponding processing machine. In addition, when the remote machining instruction is sent, the remote machining instruction also carries machining data capable of indicating the machining requirement, so that the machining machine can perform machining according to the machining data indicated by the remote machining instruction when receiving the remote machining instruction.
S202, sending the remote processing instruction to the cloud end so that the cloud end sends the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, sending the processing data to be sent to the processing machine in batches, and sending the data volume to be sent each time to the processing machine in batches, wherein the data volume to be sent is not more than the data storage volume of the processing machine.
Specifically, the remote network control end sends the remote processing instruction to the cloud end, and then exchanges the instruction and data between the remote network control end and the processing machine end through the cloud end. After the cloud receives the remote processing instruction, the remote processing instruction is sent to the processing machine with the processing machine address according to the processing machine address in the remote processing instruction, meanwhile, the cloud finds the processing data required by the processing at this time indicated by the remote processing instruction from the processing data stored locally to serve as the processing data to be sent, and sends the processing data to be sent to the processing machine in batches.
Therefore, according to the remote control method for the processing machine based on the cloud platform provided by the embodiment of the invention, a remote processing instruction for instructing the processing machine to perform the processing is generated, the remote processing instruction carries the address of the processing machine, the remote processing instruction can instruct processing data required by the processing, and the remote processing instruction is sent to the cloud end, so that the cloud end sends the remote processing instruction to the processing machine with the address of the processing machine according to the address of the processing machine, the processing data to be sent are sent to the processing machine in batches, and the data volume sent each time is not more than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
The processing machine remote control method based on the cloud platform provided by the embodiment of the invention further comprises the following steps: and receiving the processing state returned by the cloud, wherein the processing state is the processing state returned by the processing machine received by the cloud after executing the remote processing instruction, and displaying the processing state.
Specifically, after the remote network control end sends the remote processing instruction and the processing data to the processing machine through the high in the clouds, the processing machine starts to execute the remote processing instruction, and process according to the processing data, the processing machine feeds back the processing state to the high in the clouds simultaneously, after the high in the clouds receives the processing state, feed back the processing state to the remote network control end again, the remote network control end can be according to this processing state, real-timely monitor the processing machine, can also set up next processing instruction according to this processing state, thereby the efficiency of the remote control of the processing machine is improved. Here, the processing state includes: idle, in-process, pause, in-process file, in-process progress, real-time video, etc.
The processing machine remote control method based on the cloud platform provided by the embodiment of the invention further comprises the following steps: and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
Specifically, when the received machining state indicates that the current machining is completed, it indicates that all machining data of the current machining are completed by the machining machine, and the machining machine is in an idle state, at this time, generation of a next remote machining instruction can be triggered through the remote network control end, the instruction is also sent to the machining machine through the cloud, and the machining machine continues to execute the instruction. The method for monitoring the remote processing of the processing machine in real time greatly improves the processing efficiency of the processing machine.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a cloud platform-based processing machine remote control system according to an embodiment of the present invention, where the system includes: a remote network control terminal 301, a cloud terminal 302 and a processing machine 303.
The remote network control terminal 301 is configured to generate a remote processing instruction for instructing the processing machine to perform the processing, and send the remote processing instruction to the cloud, where the remote processing instruction carries an address of the processing machine, and the remote processing instruction can indicate processing data required by the processing.
Specifically, since the processing machine is controlled by the remote network control end to perform processing, the remote network control end is required to send a remote processing instruction to the processing machine, and the remote processing instruction carries an address of the processing machine, so that the remote processing instruction can be sent to the corresponding processing machine. In addition, the remote network control end firstly sends the remote processing instruction to the cloud end, and then exchanges the instruction and data between the remote network control end and the processing machine end through the cloud end.
And the cloud 302 is configured to receive the remote processing instruction, determine, from the locally stored processing data, processing data required by the current processing and indicated by the remote processing instruction, use the processing data as processing data to be sent, send the remote processing instruction to a processing machine having a processing machine address according to the processing machine address, and send the processing data to be sent to the processing machine in batches, where the data volume sent each time is not greater than the data storage volume of the processing machine.
Specifically, after the cloud receives the remote processing instruction, the processing data corresponding to the remote processing instruction is found in the cloud, and the processing data required by the processing indicated by the remote processing instruction is used as the processing data to be sent. And then, the remote processing instruction and the processing data are sent to the processing machine through the cloud, and the processing data are sent to the processing machine in batches, because when the cloud sends the processing data to the processing machine, the data storage capacity of the processing machine is limited, all the processing data corresponding to the remote processing instruction are large, all the processing data are sent to the processing machine in batches, and the data volume sent each time cannot be larger than the data storage capacity of the processing machine, so that the processing machine can normally process. In addition, the cloud end can control the processing data through the processing control software so as to realize batch sending of the processing data and improve the processing efficiency of the processing machine.
The processing machine 303 is configured to receive a remote processing instruction and processing data to be sent.
Specifically, after the cloud sends the remote processing instruction and the processing data to be sent to the processing machine, the processing machine receives the remote processing instruction and the processing data to be sent first, and executes the remote processing instruction, so that the processing machine performs processing according to the processing data.
The processing machine 303 is also configured to: and returning the processing state to the cloud after the remote processing instruction is executed.
After the processing machine executes the remote processing command, the processing machine has a real-time processing status, for example, 10% of data is processed, and the processing machine returns the processing status to the cloud. The processing machines also send the processing state to a local network controller, wherein the address of each processing machine is set by the local network controller, the local network controller is responsible for setting the processing machines of the local network and displaying the processing machine states of the local network, and the local network controller discovers the processing machines of the local network by sending and receiving multicast frames. Setting the local network comprises setting a network address, a subnet mask, a gateway, a domain name server, a cloud host name, a name, an address, a telephone and the like of a location of the processing machine. Different processing machine addresses are set for different processing machines through the local network, so that the remote network control end can find the corresponding processing machine through the processing machine addresses, and the processing machines set by the local network control end can not be connected in the same local area network, thereby realizing distributed processing and improving the efficiency of remote control of the processing machines.
Accordingly, cloud 302 is further configured to: and receiving the processing state and sending the processing state to a remote network control end.
Here, the cloud exchanges data and instructions of the processing machine and the remote network control terminal, so that after receiving the processing state sent by the processing machine, the cloud sends the processing state to the remote network control terminal again to realize remote control of the processing machine.
Correspondingly, the remote network control end 301 is further configured to: and receiving the machining state and displaying the machining state.
And when the remote network control end receives the processing state of the processing machine sent by the cloud end, the processing state can be displayed to the remote network control end.
In this embodiment of the present invention, the remote network control end 301 is further configured to:
and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
Specifically, when the received machining state indicates that the current machining is completed, it indicates that all machining data of the current machining are completed by the machining machine, and the machining machine is in an idle state, at this time, generation of a next remote machining instruction can be triggered through the remote network control end, the instruction is also sent to the machining machine through the cloud, and the machining machine continues to execute the instruction. The method for monitoring the remote processing of the processing machine in real time greatly improves the processing efficiency of the processing machine.
In this embodiment of the present invention, the cloud 302 is specifically configured to:
and sending part of data, which is not more than the data storage capacity of the processing machine, of the processing data to be sent to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Specifically, the amount of data that can be stored on the hard disk of each processing machine is limited, and when the amount of data to be processed by the processing machine is large, the hard disk of the processing machine cannot store all of the data, which requires that the processing data be sent in batches, and the processing data sent each time cannot be larger than the data storage amount of the processing machine. Therefore, the processing machine can process part of the sent data firstly, meanwhile, the processing state of the data during processing is fed back to the cloud end, after the cloud end receives the processing state, whether the processing progress represented by the processing state is a preset progress threshold value or not can be judged firstly through processing control software, here, the preset progress can be set according to actual requirements, for example, the processing progress is 90%, the situation that only 10% of the processing data is left without processing is shown, if the processing progress is the preset progress threshold value, next data transmission to the processing machine is started until all the processing data to be sent are sent to the processing machine. And processing data is sent to the processing machine through processing control software at the cloud end, so that the remote control efficiency of the processing machine is improved.
In an alternative embodiment of the present invention, the locally stored machining data is pre-sent by the remote network control.
Specifically, because the processing data is comparatively big, the processing data can be processed by different processing machines repeatedly moreover, consequently with processing data send to the high in the clouds in advance to the storage is in the high in the clouds, directly sends through the high in the clouds when this processing data of needs. Therefore, the time for the remote network control end to send data to the cloud end can be saved, the same type of processing data can be prevented from being repeatedly sent, and the efficiency of remote network control of the processing machine is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a cloud platform-based processing machine remote control apparatus according to an embodiment of the present invention, including the following modules:
the first receiving module 401 is configured to receive a remote processing instruction sent by a remote network control end, where the remote processing instruction carries a processor address;
a determining module 402, configured to determine, from the locally stored machining data, machining data required for the current machining and indicated by the remote machining instruction, as to-be-sent machining data;
and a first sending module 403, configured to send the remote machining instruction to the machining machine with the machine address according to the machine address, and send the machining data to be sent to the machining machine in batches, where the data amount sent each time is not greater than the data storage amount of the machining machine.
Therefore, the remote control device for the processing machine based on the cloud platform provided by the embodiment of the invention receives a remote processing instruction sent by a remote network control end through a first receiving module, wherein the remote processing instruction carries an address of the processing machine; then, determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally through a determining module, wherein the machining data are used as machining data to be sent; the first sending module sends the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sends processing data to be sent to the processing machine in batches, and the data volume sent each time is not larger than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
Further, the first sending module 403 is specifically configured to:
and sending part of data, which is not more than the data storage capacity of the processing machine, of the processing data to be sent to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
Further, the apparatus further comprises:
the second receiving module is used for receiving the processing state returned by the processing machine after the processing machine executes the remote processing instruction;
and the second sending module is used for sending the processing state to the remote network control end.
Further, the processing data stored locally is sent by the remote network control terminal in advance.
Referring to fig. 5, fig. 5 is another schematic structural diagram of a cloud platform-based processing machine remote control device according to an embodiment of the present invention, including the following modules:
a generating module 501, configured to generate a remote processing instruction for instructing a processing machine to perform the processing, where the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
the sending module 502 is configured to send a remote processing instruction to the cloud, so that the cloud sends the remote processing instruction to a processing machine with a processing machine address according to the processing machine address, and sends processing data to be sent to the processing machine in batches, where the data volume sent each time is not greater than the data storage volume of the processing machine.
Therefore, according to the processing machine remote control device based on the cloud platform provided by the embodiment of the invention, a remote processing instruction for instructing a processing machine to perform processing is generated through a generation module, the remote processing instruction carries an address of the processing machine, the remote processing instruction can instruct processing data required by the processing, and the remote processing instruction is sent to a cloud end through a sending module, so that the cloud end sends the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, the processing data to be sent is sent to the processing machine in batches, and the data volume sent each time is not larger than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
Further, the apparatus further comprises:
the receiving module is used for receiving a processing state returned by the cloud, wherein the processing state is the processing state returned by the processing machine received by the cloud after the processing machine executes the remote processing instruction;
and the display module is used for displaying the processing state.
Further, the apparatus further comprises:
and the triggering module is used for triggering the generation and the sending of the next remote machining instruction when the received machining state indicates that the machining is finished.
The embodiment of the present invention further provides a cloud device, as shown in fig. 6, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604.
A memory 603 for storing a computer program;
the processor 601 is configured to implement the following steps when executing the program stored in the memory 603:
receiving a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address;
determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally as machining data to be sent;
and sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine.
The communication bus mentioned in the cloud device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the cloud device and other devices.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
Therefore, the cloud device provided by the embodiment of the invention firstly receives the remote processing instruction sent by the remote network control end, and the remote processing instruction carries the address of the processing machine; determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally as machining data to be sent; and sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
The embodiment of the present invention further provides a remote network control end device, as shown in fig. 7, including a processor 701, a communication interface 702, a memory 703 and a communication bus 704, where the processor 701, the communication interface 702, and the memory 703 complete mutual communication through the communication bus 704.
A memory 703 for storing a computer program;
the processor 701 is configured to implement the following steps when executing the program stored in the memory 703:
generating a remote processing instruction for instructing the processing machine to perform the processing, wherein the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
and sending the remote processing instruction to the cloud end so that the cloud end sends the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sends the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine.
The communication bus mentioned above for the remote network control end device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the remote network control end equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
Therefore, according to the remote network control end device provided by the embodiment of the invention, a remote processing instruction for instructing a processing machine to perform processing at this time is generated, the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing at this time, and then the remote processing instruction is sent to the cloud, so that the cloud sends the remote processing instruction to the processing machine with the address of the processing machine according to the address of the processing machine, and sends the processing data to be sent to the processing machine in batches, and the data volume sent each time is not greater than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, which stores instructions that, when executed on a computer, cause the computer to perform a cloud platform-based processing machine remote control method as described in the corresponding embodiment of fig. 1.
Therefore, the computer-readable storage medium provided by the embodiment of the invention firstly receives a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address; determining machining data required by the current machining and indicated by the remote machining instruction from the machining data stored locally as machining data to be sent; and sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, which stores instructions that, when executed on a computer, cause the computer to perform a cloud platform-based processing machine remote control method as described in the corresponding embodiment of fig. 2.
Therefore, according to the computer-readable storage medium provided by the embodiment of the invention, a remote processing instruction for instructing a processing machine to perform the processing is generated, the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing, and then the remote processing instruction is sent to the cloud, so that the cloud sends the remote processing instruction to the processing machine with the address of the processing machine according to the address of the processing machine, and sends the processing data to be sent to the processing machine in batches, and the data volume sent each time is not greater than the data storage volume of the processing machine. The remote control method can exchange the instructions and data of the remote network control end and the processing machine end through the cloud end, can remotely control the preset processing machine of the local network, and simultaneously sends the processing data to the processing machine in batches through the cloud end, so that the remote control efficiency of the processing machine is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (20)
1. A processing machine remote control method based on a cloud platform is applied to a cloud end, and is characterized by comprising the following steps:
receiving a remote processing instruction sent by a remote network control end, wherein the remote processing instruction carries a processor address;
determining machining data required by the current machining and indicated by the remote machining instruction from machining data stored locally as machining data to be sent;
according to the processing machine address, sending the remote processing instruction to a processing machine with the processing machine address, and sending the processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine;
wherein, the sending the to-be-sent processed data to the processing machine in batches comprises:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
2. The method of claim 1, further comprising:
receiving a processing state returned by the processing machine after the processing machine executes the remote processing instruction;
and sending the processing state to the remote network control terminal.
3. The method of claim 1, wherein the locally stored process data is pre-transmitted by the remote network controller.
4. A processing machine remote control method based on a cloud platform is applied to a remote network control end, and is characterized by comprising the following steps:
generating a remote processing instruction for instructing a processing machine to perform the processing, wherein the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
sending the remote processing instruction to a cloud end so that the cloud end sends the remote processing instruction to a processing machine with the processing machine address according to the processing machine address, and sends processing data to be sent to the processing machine in batches, wherein the data volume sent each time is not more than the data storage volume of the processing machine;
wherein, the sending the to-be-sent processed data to the processing machine in batches comprises:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
5. The method of claim 4, further comprising:
receiving a processing state returned by the cloud, wherein the processing state is the processing state returned by the processing machine received by the cloud after the processing machine executes the remote processing instruction;
and displaying the processing state.
6. The method of claim 5, further comprising:
and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
7. The utility model provides a processing machine remote control device based on cloud platform is applied to high in the clouds, its characterized in that, the device includes:
the first receiving module is used for receiving a remote processing instruction sent by a remote network control end, and the remote processing instruction carries a processor address;
the determining module is used for determining the machining data required by the machining, indicated by the remote machining instruction, in the machining data stored locally as the machining data to be sent;
the first sending module is used for sending the remote machining instruction to a machining machine with the machining machine address according to the machining machine address and sending the to-be-sent machining data to the machining machine in batches, and the data volume sent each time is not larger than the data storage volume of the machining machine;
the first sending module is specifically configured to:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
8. The apparatus of claim 7, further comprising:
the second receiving module is used for receiving the processing state returned by the processing machine after the remote processing instruction is executed;
and the second sending module is used for sending the processing state to the remote network control end.
9. The apparatus of claim 7, wherein the locally stored process data is pre-transmitted by the remote network controller.
10. A processing machine remote control device based on a cloud platform is applied to a remote network control end, and is characterized by comprising:
the remote processing instruction carries the address of the processing machine, and can indicate processing data required by the processing;
the sending module is used for sending the remote processing instruction to a cloud end so that the cloud end sends the remote processing instruction to a processing machine with a processing machine address according to the processing machine address and sends processing data to be sent to the processing machine in batches, and the data volume sent each time is not larger than the data storage volume of the processing machine;
wherein, the sending the to-be-sent processed data to the processing machine in batches comprises:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
11. The apparatus of claim 10, further comprising:
the receiving module is used for receiving a processing state returned by the cloud end, wherein the processing state is the processing state returned by the processing machine received by the cloud end after the processing machine executes the remote processing instruction;
and the display module is used for displaying the processing state.
12. The apparatus of claim 11, further comprising:
and the triggering module is used for triggering the generation and the sending of the next remote machining instruction when the received machining state indicates that the machining is finished.
13. The cloud device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory is used for storing a computer program;
the processor, when executing the program stored in the memory, implementing the method steps of any of claims 1-3.
14. The remote network control end equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory is used for storing a computer program;
the processor, when executing the program stored in the memory, is adapted to perform the method steps of any of claims 4-6.
15. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 3.
16. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 4 to 6.
17. A processing machine remote control system based on a cloud platform, comprising: remote network control end, high in the clouds and processing machine, wherein:
the remote network control terminal is used for generating a remote processing instruction for instructing the processing machine to perform the processing, and sending the remote processing instruction to the cloud, wherein the remote processing instruction carries an address of the processing machine, and the remote processing instruction can instruct processing data required by the processing;
the cloud end is used for receiving the remote processing instruction, determining processing data required by the processing indicated by the remote processing instruction in the processing data stored locally as to-be-processed data, sending the remote processing instruction to the processing machine with the processing machine address according to the processing machine address, sending the to-be-processed data to the processing machine in batches, and sending the to-be-processed data to the processing machine in batches, wherein the data storage amount sent each time is not more than the data storage amount of the processing machine;
the processing machine is used for receiving the remote processing instruction and the processing data to be sent;
the cloud is specifically configured to:
and sending part of the data of the processing data to be sent, which is not more than the data storage capacity of the processing machine, to the processing machine each time, starting next data transmission after receiving a processing state returned by the processing machine for the part of the data sent this time and when the processing progress represented by the processing state is a preset progress threshold value until all the processing data to be sent are sent to the processing machine.
18. The system of claim 17, wherein the processor is further configured to:
returning the processing state to the cloud after the remote processing instruction is executed;
correspondingly, the cloud is further configured to:
receiving the processing state and sending the processing state to the remote network control end;
correspondingly, the remote network control end is further configured to:
and receiving the machining state and displaying the machining state.
19. The system of claim 18, wherein the remote network control is further configured to:
and when the received machining state indicates that the machining is finished, triggering generation and sending of a next remote machining instruction.
20. The system of claim 17, wherein the locally stored process data is pre-transmitted by the remote network control.
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| CN111791634A (en) * | 2020-07-01 | 2020-10-20 | 合肥晌玥科技有限公司 | Carving machine management and control method and system based on asynchronous receiving and sending framework |
| CN113300886B (en) * | 2021-05-21 | 2022-11-22 | 北京创源微致软件有限公司 | Distributed digital control system and communication processing method and device thereof |
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