CN114019920A - Equipment control system and method - Google Patents
Equipment control system and method Download PDFInfo
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- CN114019920A CN114019920A CN202111270480.XA CN202111270480A CN114019920A CN 114019920 A CN114019920 A CN 114019920A CN 202111270480 A CN202111270480 A CN 202111270480A CN 114019920 A CN114019920 A CN 114019920A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/33—Director till display
- G05B2219/33139—Design of industrial communication system with expert system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The embodiment of the application discloses a device control system and a method, wherein the system comprises: the device comprises equipment, a data acquisition device, an equipment control device and an edge server; the data acquisition device is used for acquiring operation data of the equipment and sending the operation data to the edge server; the edge server is used for receiving the operation data, determining a model according to a pre-trained equipment state and analyzing the operation data to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction, and sending the control instruction to the equipment control device; the equipment control device is used for receiving the control instruction and controlling the equipment according to the control instruction. The technical scheme provided by the embodiment of the application can realize intelligent upgrading and transformation of the traditional industrial equipment so as to achieve the aim of carrying out production control on the equipment and reduce the cost of intelligent upgrading and transformation.
Description
Technical Field
The embodiment of the application relates to the technical field of automatic control, in particular to a device control system and method.
Background
The traditional industrial equipment relies on manual experience to control the equipment according to production materials and equipment running states in the running process so as to ensure the quality of industrial production, and the equipment cannot be intelligently controlled according to equipment running data automatically. At present, when upgrading and transforming the traditional industrial equipment, the prior art can not carry out intelligent upgrading and transforming on the basis of the traditional industrial equipment directly, and the traditional industrial equipment is abandoned to buy the intelligent industrial equipment, so that the intelligent upgrading cost of the traditional industrial equipment by the method is high.
Disclosure of Invention
The embodiment of the application provides an equipment control system and an equipment control method, so that the traditional industrial equipment is intelligently upgraded and transformed, the aim of controlling the production of the equipment is fulfilled, and the cost of intelligent upgrading and transformation can be reduced.
In a first aspect, an embodiment of the present application provides an apparatus control system, where the system includes: the device comprises equipment, a data acquisition device, an equipment control device and an edge server; the data acquisition device and the equipment control device are respectively installed on the equipment, and the edge server is respectively connected with the data acquisition device and the equipment control device, wherein:
the data acquisition device is used for acquiring the operation data of the equipment and sending the operation data to the edge server;
the edge server is used for receiving the operation data, determining a model according to a pre-trained equipment state and analyzing the operation data to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction, and sending the control instruction to the equipment control device;
and the equipment control device is used for receiving the control instruction and controlling the equipment according to the control instruction.
Further, the edge server comprises a data analyzer, a device state machine, and an instruction generator, wherein:
the data analyzer is used for taking the running data as the input of the equipment state determination model and determining the load state of the equipment according to the output of the equipment state determination model, wherein the equipment state determination model is obtained by training according to sample running data and load state marking information;
the equipment state machine is used for judging whether the running parameters of the equipment need to be adjusted or not according to the load state, and if the running parameters need to be adjusted, determining the parameter adjustment information of the equipment;
and the instruction generator is used for converting the parameter adjustment information into a corresponding control instruction.
Further, the device control apparatus includes a current regulator and a rotational speed controller, and the control command includes a current control command and a rotational speed control command, where:
the equipment control device is used for adjusting the current parameters of the equipment through the current regulator according to the current control instruction; and adjusting the rotating speed parameters of the equipment through the rotating speed controller according to the rotating speed control instruction.
Further, the system also comprises a cloud server, wherein the cloud server is connected with the edge server;
the cloud server is used for sending the software upgrading package and the upgrading instruction of the edge server to the edge server so as to control the edge server to upgrade the software of the edge server according to the software upgrading package through the control instruction.
Further, the operation data at least comprises at least one of the following items: current, voltage, speed, power and pressure.
Further, the communication protocol between the data acquisition device and the equipment comprises at least one of the following: the message queue telemetry transmission MQTT protocol, the long-distance radio LoRa protocol, the Zigbee protocol, the hypertext transfer protocol HTTP and the representational state transfer REST protocol; the communication protocol between the device control device and the device comprises at least one of the following protocols: message queue telemetry transport MQTT protocol, long range radio LoRa protocol, Zigbee protocol, hypertext transfer protocol HTTP and representational state transfer REST protocol.
In a second aspect, an embodiment of the present application provides an apparatus control method, where the method is performed by an edge server in an apparatus control system, and the method includes:
acquiring operation data of equipment through a data acquisition device;
analyzing the operation data according to a pre-trained equipment state determination model to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction;
and issuing the control instruction to an equipment control device to instruct the equipment control device to control the equipment according to the control instruction.
The embodiment of the application provides a device control system and a method, wherein the system comprises: the device comprises equipment, a data acquisition device, an equipment control device and an edge server; install data acquisition device and equipment control device respectively on equipment, the edge server is connected with data acquisition device and equipment control device respectively, wherein: the data acquisition device is used for acquiring operation data of the equipment and sending the operation data to the edge server; the edge server is used for receiving the operation data, determining a model according to a pre-trained equipment state and analyzing the operation data to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction, and sending the control instruction to the equipment control device; the equipment control device is used for receiving the control instruction and controlling the equipment according to the control instruction. The intelligent upgrading and transformation of the traditional industrial equipment can be realized, the aim of production control of the equipment is achieved, and the cost of intelligent upgrading and transformation can be reduced.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a first structural schematic diagram of an apparatus control system according to an embodiment of the present disclosure;
fig. 2 is a second schematic structural diagram of an apparatus control system according to an embodiment of the present application;
fig. 3 is a flowchart illustrating an apparatus control method according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
Example one
Fig. 1 is a schematic view of a first structure of an apparatus control system according to an embodiment of the present application, which is applicable to a situation of performing intelligent upgrade and modification on a conventional industrial apparatus.
Referring to fig. 1, the plant control system includes: the device 110, the data acquisition apparatus 120, the device control apparatus 140, and the edge server 130; the data acquisition device 120 and the device control device 140 are respectively installed on the device 110, and the edge server 130 is respectively connected with the data acquisition device 120 and the device control device 140. Specifically, the method comprises the following steps:
and the data acquisition device 120 is used for acquiring the operation data of the equipment and sending the operation data to the edge server.
The edge server 130 is configured to receive the operation data, determine a model according to a pre-trained device state, and analyze the operation data to obtain an analysis result corresponding to the operation data; and converting the analysis result into a control instruction, and sending the control instruction to the equipment control device.
And the device control device 140 is used for receiving the control instruction and controlling the device according to the control instruction.
The device 110 in the present application refers to a conventional industrial device that needs to be intelligently upgraded, such as: lathe, milling machine, grinding machine, planer, etc. The operational data of the device 110 includes at least one of: current, voltage, speed, power and pressure.
In the embodiment of the present application, when the device 110 is upgraded and modified intelligently, the data acquisition device 120 needs to be configured on the device 110, and the data acquisition device 120 is connected to the edge server 130. The data acquisition device 120 may acquire the operation data of the device 110 in real time and transmit the acquired operation data to the edge server 130; or the edge server 130 may actively acquire operational data of the device 110 through the data collection apparatus 120. The brand and model of the data acquisition device 120 are not specifically limited by the application, and the data acquisition device 120 has a data acquisition function, and protocols of the data acquisition device 120 include but are not limited to a Programmable Logic Controller (PLC), a ModBus serial communication protocol, an RS-485 standard, and the like. The communication protocol between the data acquisition device 120 and the apparatus 110 includes at least one of the following: message Queue Telemetry Transport (MQTT) Protocol, Long Range Radio (LoRa) Protocol, zigbee Protocol, hypertext Transfer Protocol (HTTP), and Representational State Transfer (REST) Protocol. The edge server 130 in this embodiment includes at least one of: physical machines, edge gateways, edge boxes, etc., and communication protocols include, but are not limited to, HTTP, WebSocket, MQTT, etc.
In this embodiment of the application, after the edge server 130 receives the operation data of the device 110, an intelligent engine in the edge server 130 firstly determines a model according to a pre-trained device state to analyze the operation data, so as to obtain an operation status (i.e., an analysis result) of the current device 110; comparing the operation status of the current device 110 with a preset operation standard, if the operation status of the current device 110 needs to be adjusted, converting the analysis result into a control instruction, and sending the control instruction to the device control apparatus 140; if the operation status of the current device 110 does not need to be adjusted, the subsequent steps do not need to be performed. The device state determination model may be obtained by training based on Support Vector Machine (SVM)/Support Vector Regression (SVR), reinforcement learning, or deep reinforcement learning.
In the embodiment of the present application, when the device 110 is upgraded and modified intelligently, the device control apparatus 140 is further configured on the device 110, and the device control apparatus 140 is connected to the edge server 130. When the edge server 130 converts the analysis result into a control instruction and issues the control instruction to the device control apparatus 140, the device control apparatus 140 receives the control instruction and controls the device 110 according to the control instruction through the device control protocol. The brand and model of the device control apparatus 140 are not specifically limited in the present application, and the device control protocol of the device control apparatus 140 includes, but is not limited to, a PLC, a serial communication protocol, an RS-485 standard, and the like. The communication protocol between the device control apparatus 140 and the device 110 includes at least one of: MQTT protocol, LoRa protocol, zigbee protocol, HTTP and REST protocol.
The present embodiment provides an apparatus control system, including: the device comprises equipment, a data acquisition device, an equipment control device and an edge server; the data acquisition device is used for acquiring operation data of the equipment and sending the operation data to the edge server; the edge server is used for receiving the operation data, determining a model according to a pre-trained equipment state and analyzing the operation data to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction, and sending the control instruction to the equipment control device; the equipment control device is used for receiving the control instruction and controlling the equipment according to the control instruction. The method comprises the steps that a data acquisition device, an equipment control device and an edge server are configured on the traditional industrial equipment, and the data acquisition device is used for acquiring operation data of the equipment; analyzing and processing the operation data through the edge server, generating control parameters according to rules, and converting the control parameters into control instructions; controlling the equipment through the equipment control device according to the control instruction; the problem that prior art can't directly carry out intelligent upgrading transformation on the basis of traditional industrial equipment is solved in this application, has reached the cost that reduces intelligent upgrading transformation, has realized carrying out production control to equipment.
Example two
Fig. 2 is a second schematic structural diagram of an apparatus control system according to an embodiment of the present application. The embodiment of the application is optimized on the basis of the embodiment, and specifically optimized as follows: the present embodiment explains the data processing and control instruction generating process of the edge server 130 in detail.
Referring to fig. 2, the plant control system includes: the device 110, the data acquisition device 120, the device control device 140, the edge server 130 and the cloud server 150; the device 110 is respectively provided with a data acquisition device 120 and a device control device 140, the edge server 130 is respectively connected with the data acquisition device 120 and the device control device 140, and the cloud server 150 is connected with the edge server 130; the appliance control device 140 includes a current regulator 1401 and a rotational speed controller 1402; edge server 130 includes a data parser 1301, a device state machine 1302, and an instruction generator 1303. Specifically, the method comprises the following steps:
and the data acquisition device 120 is used for acquiring the operation data of the equipment and sending the operation data to the edge server.
And the data analyzer 1301 in the edge server 130 is configured to use the operation data as an input of the device state determination model, and determine the load state of the device according to an output of the device state determination model.
The device state machine 1302 in the edge server 130 is configured to determine whether the operating parameters of the device need to be adjusted according to the load status, and if the operating parameters need to be adjusted, determine parameter adjustment information of the device.
And the instruction generator 1303 in the edge server 130 is configured to convert the parameter adjustment information into a corresponding control instruction.
The equipment control device 140 is used for adjusting the current parameters of the equipment through the current regulator according to the current control instruction; and adjusting the rotating speed parameters of the equipment through a rotating speed controller according to the rotating speed control instruction.
And the cloud server 150 is configured to send a software upgrade package and an upgrade instruction of the edge server to the edge server, so as to control the edge server to upgrade the software of the edge server according to the software upgrade package through the control instruction.
In the embodiment of the present application, the smart engine in the edge server 130 is a computer program capable of analyzing and processing the operation data of the device 110, generating control parameters according to rules, and converting the control parameters into control instructions. The intelligence engine may include a data parser 1301, a device state machine 1302, and an instruction generator 1303. Specifically, the method comprises the following steps: according to a pre-trained device state determination model, the data analyzer 1301 takes the operation data as the input of the device state determination model, and determines the load state of the device 110 according to the output of the device state determination model, wherein the load state includes a low load, a normal load and an overload, and the device state determination model is obtained by training according to the sample operation data and the load state marking information. The device state machine 1302 determines whether an adjustment of an operating parameter of the device 110 is required according to the load status, and if the adjustment is required, determines parameter adjustment information of the device 110, that is, which parameter of the device 110 is adjusted and how to adjust the parameter, for example: the current parameter of the device is increased by 5A and the rotating speed parameter of the device is decreased by 10 rpm. The instruction generator 1303 converts the parameter adjustment information into a corresponding control instruction.
In this embodiment, after the instruction generator 1303 converts the parameter adjustment information into a corresponding control instruction, the edge server 130 issues the control instruction to the device control apparatus 140. When the control command is a current control command, the device control apparatus 140 adjusts the current parameter of the device 110 through the current regulator 1401; when the control command is a rotational speed control command, the device control apparatus 140 adjusts a rotational speed parameter of the device 110 through the rotational speed controller 1402; when the control command includes both the current control command and the rotational speed control command, the device control apparatus 140 adjusts the current parameter and the rotational speed parameter of the device 110 through the current regulator 1401 and the rotational speed controller 1402, respectively.
In this embodiment of the application, when the version of the smart engine in the edge server 130 needs to be upgraded, a software upgrade package of the smart engine may be configured on the cloud server 150, and the software upgrade package and the upgrade instruction of the edge server 130 are sent to the edge server 130 through a cloud edge coordination technique of edge computing, so as to control the edge server 130 to upgrade the software of the edge server 130 according to the software upgrade package through a control instruction.
Optionally, an edge computing edge management module may be configured in the edge server 130, and is configured to manage the smart engine, and is responsible for the cooperation of communication and application with the cloud server 150, and is responsible for upgrading and running of the smart engine.
The present embodiment provides an apparatus control system, including: the system comprises equipment, a data acquisition device, an equipment control device, an edge server and a cloud server; the data acquisition device is used for acquiring operation data of the equipment and sending the operation data to the edge server; the data analyzer in the edge server is used for taking the running data as the input of the equipment state determination model and determining the load state of the equipment according to the output of the equipment state determination model; the equipment state machine in the edge server is used for judging whether the running parameters of the equipment need to be adjusted or not according to the load state, and if the running parameters need to be adjusted, the parameter adjustment information of the equipment is determined; an instruction generator in the edge server is used for converting the parameter adjustment information into a corresponding control instruction; the equipment control device is used for adjusting the current parameters of the equipment through the current regulator according to the current control instruction and adjusting the rotating speed parameters of the equipment through the rotating speed controller according to the rotating speed control instruction; the cloud server is used for sending the software upgrading package and the upgrading instruction of the edge server to the edge server so as to control the edge server to upgrade the software of the edge server according to the software upgrading package through the control instruction. The problem that prior art can't directly carry out intelligent upgrading transformation on the basis of traditional industrial equipment is solved in this application, has reached the cost that reduces intelligent upgrading transformation, has realized carrying out production control to equipment.
EXAMPLE III
Fig. 3 is a flowchart illustrating an apparatus control method according to an embodiment of the present application. The embodiment can be suitable for the situation of intelligent upgrading and transformation of traditional industrial equipment.
Referring to fig. 3, the method of the present embodiment includes, but is not limited to, the following steps:
and S310, acquiring the operation data of the equipment through a data acquisition device.
In the embodiment of the application, when the equipment is intelligently upgraded and modified, a data acquisition device needs to be configured on the equipment, and the data acquisition device is connected with the edge server. The data acquisition device can acquire the operation data of the equipment in real time and send the acquired operation data to the edge server; or the edge server actively acquires the operation data of the equipment through the data acquisition device.
S320, analyzing the operation data according to the pre-trained equipment state determining model to obtain an analysis result corresponding to the operation data; and converting the analysis result into a control instruction.
In the embodiment of the present application, the intelligent engine in the edge server is a computer program that can analyze and process the operating data of the device, can generate the control parameters according to the rules, and can convert the control parameters into the control instructions. The intelligence engine may include a data analyzer, a device state machine, and an instruction generator.
Specifically, after the edge server receives the operation data of the device, the data analyzer uses the operation data as the input of a pre-trained device state determination model, and determines the load state of the device according to the output of the device state determination model, wherein the load state includes a low load, a normal load and an overload, and the device state determination model is obtained by training according to the sample operation data and the load state marking information. Then, the equipment state machine judges whether the operation parameters of the equipment need to be adjusted or not according to the load state, and if the operation parameters do not need to be adjusted, the subsequent steps do not need to be executed; if an adjustment is required, parameter adjustment information of the device is determined, i.e. which parameter of the device is adjusted and how this parameter is adjusted, for example: the current parameter of the device is increased by 5A and the rotating speed parameter of the device is decreased by 10 rpm. And finally, converting the parameter adjustment information into a corresponding control instruction by the instruction generator.
And S330, issuing the control instruction to the equipment control device to instruct the equipment control device to control the equipment according to the control instruction.
In the embodiment of the application, after the instruction generator converts the parameter adjustment information into the corresponding control instruction, the edge server issues the control instruction to the device control apparatus. The edge server sends the current control instruction to the equipment control device so as to instruct the equipment control device to adjust the current parameters of the equipment through the current regulator in the equipment control device; and the edge server issues the rotating speed control instruction to the equipment control device so as to instruct the equipment control device to adjust the rotating speed parameters of the equipment through a rotating speed controller in the equipment control device.
Specifically, when the control command is a current control command, the device control apparatus adjusts a current parameter of the device through the current regulator; when the control instruction is a rotating speed control instruction, the equipment control device adjusts the rotating speed parameter of the equipment through a rotating speed controller; when the control command has both a current control command and a rotating speed control command, the equipment control device respectively adjusts the current parameter and the rotating speed parameter of the equipment through the current regulator and the rotating speed controller.
Further, a software upgrading package and an upgrading instruction sent by the cloud server are received, and upgrading is completed according to the software upgrading package through the upgrading instruction.
According to the technical scheme provided by the embodiment, the operation data of the equipment is acquired through the data acquisition device; analyzing the operation data according to a pre-trained equipment state determination model to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction; and sending the control instruction to the equipment control device so as to instruct the equipment control device to control the equipment according to the control instruction. The method comprises the steps that a data acquisition device, an equipment control device and an edge server are configured on the traditional industrial equipment, and the data acquisition device is used for acquiring operation data of the equipment; analyzing and processing the operation data through the edge server, generating control parameters according to rules, and converting the control parameters into control instructions; controlling the equipment through the equipment control device according to the control instruction; the problem that prior art can't directly carry out intelligent upgrading transformation on the basis of traditional industrial equipment is solved in this application, has reached the cost that reduces intelligent upgrading transformation, has realized carrying out production control to equipment.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the embodiments of the present application have been described in more detail through the above embodiments, the embodiments of the present application are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. An appliance control system, the system comprising: the device comprises equipment, a data acquisition device, an equipment control device and an edge server; the data acquisition device and the equipment control device are respectively installed on the equipment, and the edge server is respectively connected with the data acquisition device and the equipment control device, wherein:
the data acquisition device is used for acquiring the operation data of the equipment and sending the operation data to the edge server;
the edge server is used for receiving the operation data, determining a model according to a pre-trained equipment state and analyzing the operation data to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction, and sending the control instruction to the equipment control device;
and the equipment control device is used for receiving the control instruction and controlling the equipment according to the control instruction.
2. The device control system of claim 1, wherein the edge server comprises a data analyzer, a device state machine, and an instruction generator, wherein:
the data analyzer is used for taking the running data as the input of the equipment state determination model and determining the load state of the equipment according to the output of the equipment state determination model, wherein the equipment state determination model is obtained by training according to sample running data and load state marking information;
the equipment state machine is used for judging whether the running parameters of the equipment need to be adjusted or not according to the load state, and if the running parameters need to be adjusted, determining the parameter adjustment information of the equipment;
and the instruction generator is used for converting the parameter adjustment information into a corresponding control instruction.
3. The plant control system of claim 1, wherein the plant control apparatus comprises a current regulator and a speed controller, the control commands comprising a current control command and a speed control command, wherein:
the equipment control device is used for adjusting the current parameters of the equipment through the current regulator according to the current control instruction; and adjusting the rotating speed parameters of the equipment through the rotating speed controller according to the rotating speed control instruction.
4. The device control system of claim 1, further comprising a cloud server, the cloud server being connected to the edge server;
the cloud server is used for sending the software upgrading package and the upgrading instruction of the edge server to the edge server so as to control the edge server to upgrade the software of the edge server according to the software upgrading package through the control instruction.
5. The plant control system of claim 1, wherein the operational data includes at least one of: current, voltage, speed, power and pressure.
6. The appliance control system of any one of claims 1 to 5, wherein the communication protocol between the data acquisition device and the appliance includes at least one of: the message queue telemetry transmission MQTT protocol, the long-distance radio LoRa protocol, the Zigbee protocol, the hypertext transfer protocol HTTP and the representational state transfer REST protocol; the communication protocol between the device control device and the device comprises at least one of the following protocols: message queue telemetry transport MQTT protocol, long range radio LoRa protocol, Zigbee protocol, hypertext transfer protocol HTTP and representational state transfer REST protocol.
7. An apparatus control method performed by an edge server in an apparatus control system, comprising:
acquiring operation data of equipment through a data acquisition device;
analyzing the operation data according to a pre-trained equipment state determination model to obtain an analysis result corresponding to the operation data; converting the analysis result into a control instruction;
and issuing the control instruction to an equipment control device to instruct the equipment control device to control the equipment according to the control instruction.
8. The equipment control method according to claim 7, wherein the operating data is analyzed according to a pre-trained equipment state determination model to obtain an analysis result corresponding to the operating data; and converting the analysis result into a control command, comprising:
the operation data is used as the input of the equipment state determination model, and the load state of the equipment is determined according to the output of the equipment state determination model, wherein the equipment state determination model is obtained by training according to sample operation data and load state marking information;
judging whether the operation parameters of the equipment need to be adjusted or not according to the load state, and if so, determining the parameter adjustment information of the equipment;
and converting the parameter adjustment information into a corresponding control instruction.
9. The equipment control method according to claim 7, wherein the equipment control device includes a current regulator and a rotational speed controller, and the control command includes a current control command and a rotational speed control command;
the issuing of the control instruction to an apparatus control device to instruct the apparatus control device to control the apparatus according to the control instruction includes:
sending the current control command to an equipment control device to instruct the equipment control device to adjust the current parameters of the equipment through a current regulator in the equipment control device; and issuing the rotating speed control instruction to an equipment control device so as to instruct the equipment control device to adjust the rotating speed parameters of the equipment through a rotating speed controller in the equipment control device.
10. The apparatus control method according to claim 7, characterized in that the method further comprises:
and receiving a software upgrading package and an upgrading instruction sent by a cloud server, and completing upgrading according to the software upgrading package through the upgrading instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111270480.XA CN114019920A (en) | 2021-10-29 | 2021-10-29 | Equipment control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111270480.XA CN114019920A (en) | 2021-10-29 | 2021-10-29 | Equipment control system and method |
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| CN114019920A true CN114019920A (en) | 2022-02-08 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202111270480.XA Pending CN114019920A (en) | 2021-10-29 | 2021-10-29 | Equipment control system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115102859A (en) * | 2022-08-24 | 2022-09-23 | 广东电网有限责任公司广州供电局 | Intelligent realization method for flexibly updating and iterating hardware equipment on Internet of things edge |
| CN117908586A (en) * | 2023-12-18 | 2024-04-19 | 中国科学院近代物理研究所 | Accelerator control system and method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104780189A (en) * | 2014-01-13 | 2015-07-15 | 中兴通讯股份有限公司 | Software upgrading method and software upgrading device |
| CN109889592A (en) * | 2019-02-25 | 2019-06-14 | 北京邮电大学 | A kind of intelligence manufacture method and device based on edge calculations |
| CN110378123A (en) * | 2019-07-18 | 2019-10-25 | 上海擎感智能科技有限公司 | A kind of method for upgrading software and system for car-mounted terminal |
| CN111385127A (en) * | 2018-12-29 | 2020-07-07 | 北京华为数字技术有限公司 | Intelligent processing system and method |
| CN113535232A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Heating and ventilation cloud edge cooperative system |
| CN113535233A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Artificial intelligence system for heating and ventilation cloud edge cooperation |
-
2021
- 2021-10-29 CN CN202111270480.XA patent/CN114019920A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104780189A (en) * | 2014-01-13 | 2015-07-15 | 中兴通讯股份有限公司 | Software upgrading method and software upgrading device |
| CN111385127A (en) * | 2018-12-29 | 2020-07-07 | 北京华为数字技术有限公司 | Intelligent processing system and method |
| CN109889592A (en) * | 2019-02-25 | 2019-06-14 | 北京邮电大学 | A kind of intelligence manufacture method and device based on edge calculations |
| CN110378123A (en) * | 2019-07-18 | 2019-10-25 | 上海擎感智能科技有限公司 | A kind of method for upgrading software and system for car-mounted terminal |
| CN113535232A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Heating and ventilation cloud edge cooperative system |
| CN113535233A (en) * | 2021-06-12 | 2021-10-22 | 武汉所为科技有限公司 | Artificial intelligence system for heating and ventilation cloud edge cooperation |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115102859A (en) * | 2022-08-24 | 2022-09-23 | 广东电网有限责任公司广州供电局 | Intelligent realization method for flexibly updating and iterating hardware equipment on Internet of things edge |
| CN115102859B (en) * | 2022-08-24 | 2022-11-18 | 广东电网有限责任公司广州供电局 | Intelligent realization method for flexibly updating and iterating hardware equipment on Internet of things edge |
| CN117908586A (en) * | 2023-12-18 | 2024-04-19 | 中国科学院近代物理研究所 | Accelerator control system and method |
| CN117908586B (en) * | 2023-12-18 | 2024-06-14 | 中国科学院近代物理研究所 | Accelerator control system and method |
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