CN112051805A - Gravel production line control data hot standby method and device - Google Patents

Gravel production line control data hot standby method and device Download PDF

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Publication number
CN112051805A
CN112051805A CN201910487644.0A CN201910487644A CN112051805A CN 112051805 A CN112051805 A CN 112051805A CN 201910487644 A CN201910487644 A CN 201910487644A CN 112051805 A CN112051805 A CN 112051805A
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server
data
production line
control
target
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CN201910487644.0A
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Chinese (zh)
Inventor
李�东
王东
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Xi'an Rydberg Intelligent Technology Co ltd
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Xi'an Rydberg Intelligent Technology Co ltd
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Priority to CN201910487644.0A priority Critical patent/CN112051805A/en
Publication of CN112051805A publication Critical patent/CN112051805A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • G05B19/41875Total 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], computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1448Management of the data involved in backup or backup restore
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1458Management of the backup or restore process
    • G06F11/1464Management of the backup or restore process for networked environments
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1458Management of the backup or restore process
    • G06F11/1469Backup restoration techniques
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32368Quality control
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The utility model provides a sand and stone production line data hot backup method and a device, which relates to a control data hot backup system and can solve the problems of uninterrupted control and data non-timely backup of an unmanned production line, and the specific technical scheme is as follows: the monitoring device acquires target data, wherein the target data is real-time data acquired by the monitoring sensor for the operation of mechanical equipment of the sandstone production line; the target data is sent to a processing device; the processing device controls mechanical equipment of the sandstone production line according to preset rules of different equipment corresponding to the target data; and uploading the generated target processing data to a local central control server and storing the data. And when the monitoring device detects that the target processing data are uploaded to the local central server group and are connected for more than the specified time T1, switching the target processing data and the control authority to the remote cloud server group to control the mechanical equipment according to a multi-machine switching control strategy and performing hot backup.

Description

Gravel production line control data hot standby method and device
Technical Field
The disclosure relates to the field of data backup, in particular to a sand production line data hot backup method and device.
Background
At present, modern management is more important in ore mining, a highly integrated automatic control center is used for controlling a modern sandstone aggregate unmanned production line, the control center is a cluster computer, the stability and the no influence under an emergent condition of the control center are required to be ensured in order to ensure seamless and uninterrupted control of the control center in a production process, a plurality of control systems are required to operate in real time in order to ensure stable operation of industrial production, and problems are taken over immediately.
Present grit aggregate production line is mostly semi-automatic state, and full automatic control's production line is mostly a set of control center, and a set of server deposits monitoring data at local server, if can't continue to control mechanical equipment behind the local server problem emergence, can not guarantee that mechanical equipment control accomplishes 24 hours incessant unmanned production line of control, direct influence production.
Disclosure of Invention
The embodiment of the disclosure provides a sand production line control data hot standby method and device, which can solve the problems that monitoring data are stored in a local server, if the local server fails, mechanical equipment cannot be continuously controlled, the mechanical equipment cannot be guaranteed to be controlled to continuously monitor an unmanned production line for 24 hours, and production is directly influenced. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, a sand production line control data hot standby method is provided, which is applied to a sand production line data storage hot standby system, and the method includes:
the monitoring device acquires target data, wherein the target data is real-time data acquired by the monitoring sensor for the operation of mechanical equipment of the sandstone production line; the target data is sent to a processing device;
the processing device controls the mechanical equipment of the sandstone production line according to preset rules of different equipment corresponding to the target data; and uploading the generated target processing data to a local central control server and storing the data.
And when the monitoring device detects that the target processing data are uploaded to a local central server group and are connected for more than the specified time T1, switching the target processing data and the control authority to a remote cloud server group to control mechanical equipment according to a multi-machine switching control strategy and performing data hot backup.
In one embodiment, the method further comprises that the service group has at least two sets of central control server groups, one set is a local server group where the production line is located, and the other set is a remote cloud server group;
the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
The standby server group is switched to the main server, and the switching control detection method among the server groups is a heartbeat detection method, a resource management method and a network switching method.
Preferably, the server group has at least two sets of central control server groups, one set is a local server group where the production line is located, and the other set is a remote cloud server group;
the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
Target processing data are simultaneously stored in a local server group and a remote cloud server group, and the target data are synchronized between the two server control groups in real time;
when the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the target data and uploads the target data to the remote cloud server for backup.
Preferably, the processing device corresponds to different preset rules according to the target data, and the target data includes: data collected by a temperature sensor, a current sensor, a radar level meter and a video sensor;
preferably, the processing device controls the mechanical equipment of the sand production line according to different preset rules corresponding to the target data, and the mechanical equipment of the sand production line comprises: the anti-blocking machine comprises an anti-blocking manipulator, an automatic movable bin wall, a stepping motor and water pump mechanical equipment.
According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for controlling data hot backup in a stone production line, the apparatus including: the system comprises a monitoring device, a processing device and a server group;
the monitoring device is used for monitoring real-time data acquired by the operation of mechanical equipment of the sand production line through the monitoring sensor; the target data is sent to a processing device;
the processing device is used for controlling the mechanical equipment of the sandstone production line according to different preset rules corresponding to the target data; and uploading the generated target processing data to a local central control server and storing the data.
And the server group is used for switching the target data and the control authority to the control equipment of the remote cloud server group according to a multi-machine switching control strategy and performing hot backup on the data when the monitoring device detects that the target processing data of the production line equipment is uploaded to the local central server group and is connected for more than the specified time T1.
Preferably; the service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
preferably, the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
The switching control detection method among the server groups is a heartbeat detection method, a resource management method and a network switching method.
Preferably, under the condition that the remote cloud server group controls the production line equipment, a request is sent to the local server group at an interval time T2 to judge whether the local server group is recovered to be normal, and if the local server group is recovered to be normal, the local server group is automatically switched to control, and target data is subjected to incremental data storage from the remote cloud server to the local server group.
In one embodiment, the target data is simultaneously stored in the local server group and the remote cloud server group, and the target data is synchronized between the two server control groups in real time;
when the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the target data and uploads the target data to the remote cloud server for backup.
In one embodiment, the processing device corresponds to different preset rules according to the target data, and the target data includes: data collected by a temperature sensor, a current sensor, a radar level meter and a video sensor;
the processing device controls the mechanical equipment of the sand and stone production line according to preset rules of different equipment corresponding to the target data, and the mechanical equipment of the sand and stone production line comprises: the anti-blocking machine comprises an anti-blocking manipulator, an automatic movable bin wall, a stepping motor and water pump mechanical equipment.
The sand and stone production line data hot standby method and the device solve the problem of uninterrupted control of an unmanned production line, adopt a plurality of control systems, ensure that mechanical equipment is controlled to be uninterrupted for 24 hours by a plurality of units of hot standby, do not influence production, do not cause any potential safety hazard, enable production equipment to exert the maximum capacity, and bring direct profits for enterprises. Under the condition that the system does not interrupt control, the safety control system can run well to reduce the accident occurrence probability, and the uninterrupted operation of the safety control system provides great guarantee for production.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a sand production line control data hot standby method according to an embodiment of the present disclosure;
fig. 2 is a schematic configuration diagram of a sand production line control data hot standby method according to an embodiment of the present disclosure;
FIG. 3 is an interactive schematic view of a sand production line control data hot standby method according to an embodiment of the present disclosure;
FIG. 4 is a flow chart of a sand production line control data hot standby method provided by the embodiment of the present disclosure;
FIG. 5 is a structural diagram of a sand production line control data hot standby device provided in the embodiment of the present disclosure;
FIG. 6 is a structural diagram of a sand production line control data hot standby device provided in the embodiment of the present disclosure;
FIG. 7 is a configuration diagram of a sand production line control data hot standby device provided in the embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The embodiment of the disclosure provides a sand production line monitoring data hot standby method, which is applied to a sand production line data storage hot standby system, and as shown in fig. 1, the method comprises the following steps:
101. the monitoring device acquires target data, wherein the target data is real-time data acquired by monitoring the operation of mechanical equipment of the sandstone production line through the sensor; the target data is sent to a processing device;
in one embodiment, the monitoring sensor comprises: temperature sensors, current sensors, radar level gauges, video sensors;
monitoring the conditions of various mechanical equipment operated by the sandstone production line by using a monitoring sensor, and transmitting data acquired by the monitoring sensor to a processing device through a wireless or wired network; the processing device of the embodiment of the disclosure is a central control server group, a local server group and a remote server group.
102. The processing device controls the mechanical equipment of the sandstone production line according to preset rules of different equipment corresponding to the target data; and after target processing data are generated, uploading the target processing data to a local central control server and performing hot backup.
In one embodiment, the service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
in one embodiment, the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
103. And when the monitoring device detects that the target data of the production line equipment is uploaded to the local central server group and is connected for more than the specified time T1, switching the target processing data and the control authority to the remote cloud server group to control the mechanical equipment according to a multi-machine switching control strategy and performing hot backup.
The target processing data simultaneously stores a local server group and a remote cloud server group, and the target data between the two server control groups are synchronized in real time;
in one embodiment, when a local network anomaly occurs and data of the local network anomaly cannot be synchronized in real time, the data are temporarily stored in a local server, and after the network is recovered, the system automatically synchronizes target data to be uploaded to the remote cloud server for backup.
In one embodiment, when the production line mechanical equipment receives control of the remote cloud server group, a request is sent to the local server group at an interval of time T2 to judge whether the local server group is recovered to be normal or not, and if the local server group is recovered to be normal, automatic switching is performed to control of the local server group, and target processing data are subjected to incremental data storage from the remote cloud server to the local server group.
According to the sand production line control data hot standby method provided by the embodiment of the disclosure, the technical scheme of controlling data hot standby solves the problem of uninterrupted control of an unmanned production line, multiple sets of control systems are adopted, multiple sets of hot standby ensure that mechanical equipment is controlled to be uninterrupted for 24 hours, production is not influenced, any potential safety hazard is not caused, production equipment can exert the maximum capacity, and direct profits are brought to enterprises. Under the condition that the system does not interrupt control, the safety control system can run well to reduce the accident occurrence probability, and the uninterrupted operation of the safety control system provides great guarantee for production.
The first embodiment,
In one embodiment, as shown in fig. 2, the method corresponds to a system having at least two or more sets of central control servers. One set is in a local server group A where a production line is located, and the other set is in a remote cloud server group B.
Under the condition that the local server works normally, all production equipment is controlled by the local server group, but when the condition that the connection between the front-end equipment and the local server group exceeds the specified corresponding time occurs, the data and the control authority of the equipment are transferred to the remote cloud server group control equipment through the network, the system data are simultaneously stored in the local server group A and the remote cloud server group B, and the data between the two control groups are synchronized in real time;
in one embodiment, the monitoring device detects that the data 1 of the front-end device cannot be uploaded to the server group a within a specified time T1, the system instructs the server group B to backup the data of the front-end device 1 through the network, and after the server group a establishes a data transmission relationship with the front-end device 1, the server B sends the backup front-end device 1 to the server a, so as to implement real-time synchronization of the control data corresponding to the front-end device 1 between the two server groups.
When the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the data to the cloud server for backup.
The local server group A and the remote cloud server group B are at least two servers with more than 2 sets of server hosts, and share one set of disk matrix for storing data.
In one embodiment, the storage of the server group data is realized by adopting two methods of full backup and real-time incremental backup through the data storage module. Full backup of data occurs in two cases:
when the server is started, the server group is judged to be running
When the server group is changed from one operation to two, full backup is carried out
Occurrence of incremental backup:
when the server group starts, the data is generated in real time, the data is subjected to real-time incremental backup to an original data file, namely, the data of the disk matrix written by the database service is acquired in real time, and the server group is transmitted through a TCP protocol.
According to the sand-stone production line control data hot standby method provided by the embodiment of the disclosure, the safe storage of data is ensured by adopting a multi-place multi-machine redundancy working mode and a data storage mode and a recovery mode of increment and full backup for complex and difficult-to-synchronize information, and in the interconnection of multi-machine hot standby systems, the mutual cross connection and the synchronization and marking of information terminals are logically adopted to ensure carefree switching.
Example II,
The main problem to be solved by the system is to solve the problem that the control system of the unmanned production line in the sandstone industry works uninterruptedly, and when one server control group fails, the other server control group can immediately take over control.
In one embodiment, the unmanned production line control system in the sandstone industry mainly comprises an automatic monitoring device and an automatic processing device.
The automatic monitoring device comprises a real-time monitoring sensor of production line equipment; such as temperature sensors, current sensors, radar level gauges, video sensors, etc.; the sensors collect data and send the data to the central control server group via wireless or limited networks.
The temperature sensor collects the real-time temperature of the bearing of the main mechanical equipment such as a cone crusher, a variable frequency vibrating screen, a jaw crusher, a vertical shaft crusher and the like during working, ensures that the equipment works in normal load, and prevents the damage caused by high temperature of the equipment.
The current sensor is used for providing service for energy management and control and informing managers of the energy consumption condition of the whole equipment all the time;
particularly, when some equipment has abnormal high voltage or low voltage, the temperature sensor is matched for precise monitoring.
The system comprises a video sensor, a monitoring system and a monitoring system, wherein the video sensor is used for monitoring the field effect, on one hand, the monitoring is realized through the video sensor, for example, a personnel safety monitoring system automatically monitors personnel safety behaviors and whether the personnel safety behaviors are in a dangerous area, and personnel identity information is completed through face recognition; on the other hand, whether the specification size of the stone product meets the standard or not is analyzed through the video sensor.
The automatic processing device comprises an anti-blocking manipulator, an automatic movable bin wall, a stepping motor, a water pump and other mechanical equipment;
the server controls the mechanical equipment according to preset rules of different equipment through data collected by various sensors of the automatic monitoring device.
According to the sand production line control data hot standby method provided by the embodiment of the disclosure, the technical scheme of controlling data hot standby solves the problem of uninterrupted control of unmanned production line equipment, a plurality of control systems are adopted, and a plurality of sets of hot standby units ensure that mechanical equipment is controlled to be uninterrupted for 24 hours, production is not influenced, and any potential safety hazard is not caused; under the condition that the system does not interrupt control, the safety control system can run well to reduce the accident occurrence probability, and the uninterrupted operation of the safety control system provides great guarantee for production.
Example III,
As shown in fig. 3, in an embodiment, in the embodiment of the present disclosure, the multi-machine direct switching control strategy is an important link in monitoring a target data hot backup process: multi-machine switching is also one of the difficulties in control, and the switching speed and the switching accuracy need to be ensured. When the main server fails, the standby server can quickly detect the failure and automatically and quickly switch to the main server, and an administrator is allowed to manually switch by using a configuration tool under special conditions;
in one embodiment, the detection means for switching control between server groups is mainly divided into: heartbeat detection method, resource management method and network switching method.
The heartbeat detection method is a mechanism which is established to send a self-defined structure (heartbeat packet) at regular time to make the server groups know the contact state so as to ensure the validity of the connection. Generally, the slave server slave sends heartbeat packets to the master server master at regular time, and sends information related to the own machine to the master server to determine that the slave server works normally. According to the Netty heartbeat mechanism, the heartbeat packet sent from the server is sent at regular time through a thread pool, a fixed-length thread pool is created, and the regular and periodic task execution is supported.
The resource receiving and managing method is that each control process in the server group has a monitoring script, when one control process suddenly stops responding and the monitoring script receives information in unit time T indicating that the control process does not recover responding, the system transfers the service of the control process to the remote server group in different places.
The local server group and the remote server group are both provided with networks of a plurality of network operators, once the situation that one operator network cannot be connected with the Internet occurs, the system is automatically switched to other standby operator networks, if all lines externally connected with the Internet of the local server group are not communicated, the DTU (wireless terminal unit) of the equipment end equipment collector is utilized to directly communicate with the remote cloud server group, and the normal operation of the control system is ensured.
According to the sand-stone production line control data hot standby method provided by the embodiment of the disclosure, the safe storage of data is ensured by adopting a multi-place multi-machine redundancy working mode and a data storage mode and a recovery mode of increment and full backup for complex and difficult-to-synchronize information, and in the interconnection of multi-machine hot standby systems, the mutual cross connection and the synchronization and marking of information terminals are logically adopted to ensure carefree switching.
Based on the sand-gravel production line control data hot standby method provided in the embodiment corresponding to fig. 1, another embodiment of the present disclosure provides a sand-gravel production line control data hot standby method, which may be applied to a control data hot standby system, for example, the sending device may be a terminal device or a network server, and the receiving device may also be a terminal device or a network server. The present embodiment is described by taking audio/video data transmission as an example, and the disclosure is not limited thereto. Referring to fig. 3, the data transmission method provided in this embodiment includes the following steps:
example four,
In an embodiment of the sand production line control data hot standby method provided by the embodiment of the present disclosure, in the system, the work flow of each device main control module: as shown in fig. 4;
a flow in which a slave device constituting an ore production line system judges whether to accept control by a server group,
401. monitoring and processing events and sending information, performing real-time data communication between each device and the server group in real time, wherein the response time is a specified time Tn, and the return data of the server group giving a response within the specified time Tn indicates that the current control system is normal,
402. is the device data and local data connection establishment response time out?
If the server group does not give a response within the specified time Tn, the device does not respond to the request which occurs for more than three times continuously and the limit response time S is exceeded, the local server group is judged to be in failure;
403. if the response time is the overtime limit response time S, the system switches and establishes connection between the equipment and the remote server;
automatically switching to a remote server group to take over the control of the sub-equipment, uploading real-time data to a remote server at a remote place and storing the data in the remote server at the remote place;
404. is the monitoring checking for local server health? If the current state is normal, the equipment is connected with the local server, and meanwhile, the equipment processing data stored in the remote cloud server are sent to the local server group;
405. under the condition that the sub-equipment receives control of the remote cloud server group, a request is sent to the local server group at intervals, whether the local server group is recovered to be normal or not is judged, if the local server group is recovered to be normal, the control is automatically switched to the local server group, and the equipment processing data is subjected to incremental data storage from the remote cloud server to the local server group.
According to the sand-stone production line control data hot standby method provided by the embodiment of the disclosure, the safe storage of data is ensured by adopting a multi-place multi-machine redundancy working mode and a data storage mode and a recovery mode of increment and full backup for complex and difficult-to-synchronize information, and in the interconnection of multi-machine hot standby systems, the mutual cross connection and the synchronization and marking of information terminals are logically adopted to ensure carefree switching.
Based on the sand production line control data hot standby method described in the embodiments corresponding to fig. 1 and fig. 4, the following is an embodiment of the apparatus of the present disclosure, which can be used to execute the embodiment of the method of the present disclosure.
The embodiment of the present disclosure provides a sand production line control data hot standby device, as shown in fig. 5, the data hot standby device 50 includes: a monitoring device 501, a processing device 502 and a server group 503;
the monitoring device 501 is used for monitoring real-time data acquired by the operation of mechanical equipment of the sand production line through a monitoring sensor; the target data is sent to a processing device;
the processing device 502 is used for controlling the mechanical equipment of the sand production line according to different preset rules corresponding to the target data; and uploading the generated target processing data to a local central control server and storing the data.
And the server group 503 is configured to switch the target data and the control authority to the control device of the remote cloud server group according to a multi-machine switching control policy and perform hot backup when the monitoring device detects that the target processing data of the production line device is uploaded to the local central server group and is connected for more than a specified time T1.
The service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
in one embodiment, as shown in fig. 6, the server group 503 is divided into a main server group 5031 and a standby server group 5032, when the main server fails, the monitoring device detects that the standby server normally operates, and switches the standby server group to the main server by using a multi-server switching control strategy.
In one embodiment, the inter-server group switching control detection method is a heartbeat detection method, a resource management method and a network switching method.
Under the condition that the remote cloud server group controls the production line equipment, a request is sent to the local server group at an interval time T2 to judge whether the local server group is recovered to be normal or not, if the local server group is recovered to be normal, the local server group is automatically switched to control, and the target data is subjected to incremental data storage from the remote cloud server to the local server group.
Target data are simultaneously stored in the local server group and the remote cloud server group, and the target data between the two server control groups are synchronized in real time;
when the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the target data and uploads the target data to the remote cloud server for backup.
In one embodiment, the processing device corresponds to different preset rules according to the target data, as shown in FIG. 7, and the monitoring device includes a temperature sensor 5011, a current sensor 5012, a radar level gauge 50113, and a video sensor 5014; data collected by the monitoring device;
the processing device controls the mechanical equipment of the sandstone production line according to preset rules of different equipment corresponding to the target data;
sandstone production line mechanical equipment comprises an anti-blocking manipulator 5021, an automatic movable bin wall 5022, a stepping motor 5023 and water pump mechanical equipment 5024.
The sand production line control data hot standby device provided by the embodiment of the disclosure solves the problem of uninterrupted control of an unmanned production line, adopts a plurality of control systems, ensures that mechanical equipment is controlled to be uninterrupted for 24 hours by a plurality of units of hot standby equipment, does not influence production, does not cause any potential safety hazard, enables production equipment to exert the maximum capacity, and brings direct profits for enterprises. Under the condition that the system does not interrupt control, the safety control system can run well to reduce the accident occurrence probability, and the uninterrupted operation of the safety control system provides great guarantee for production.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. A sand production line control data hot backup method is applied to a sand production line data storage hot backup system, and is characterized by comprising the following steps:
the monitoring device acquires target data, wherein the target data are real-time data acquired by the monitoring sensor for the operation of mechanical equipment of the sandstone production line and are sent to the processing device;
the processing device controls the mechanical equipment of the sandstone production line according to preset rules of different equipment corresponding to the target data; generating target processing data, uploading the target processing data to a local central control server, and storing the target processing data;
and when the monitoring device detects that the target processing data are uploaded to a local central server group and are connected for more than a specified time T1, the target processing data and the control authority are switched to a remote cloud server group to control the mechanical equipment and perform data hot backup.
2. The method of claim 1, wherein the service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
3. The method of claim 2, wherein the switching of the standby server group to the primary server employs an inter-server group switching control detection method, which is a heartbeat detection method, a resource management method or a network switching method.
4. The method according to claim 3, wherein the service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
5. The method of claim 4, wherein the target process data is stored in both the local server group and the remote cloud server group, and the target data is synchronized between the two server control groups in real time;
when the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the target data and uploads the target data to the remote cloud server for backup.
6. The method according to any one of claims 1 to 5, wherein the processing device corresponds to different preset rules according to the target data, and the target data comprises: data collected by a temperature sensor, a current sensor, a radar level meter and a video sensor;
the processing device controls the sandstone production line mechanical equipment according to different preset rules corresponding to the target data, and the sandstone production line mechanical equipment comprises: the anti-blocking machine comprises an anti-blocking manipulator, an automatic movable bin wall, a stepping motor and water pump mechanical equipment.
7. A device for controlling data hot backup in a stone production line is characterized by comprising: the system comprises a monitoring device, a processing device and a server group;
the monitoring device is used for monitoring real-time data acquired by the monitoring sensor on the operation of mechanical equipment of the sandstone production line; the target data is sent to a processing device;
the processing device is used for controlling the mechanical equipment of the sandstone production line according to different preset rules corresponding to the target data; and uploading the generated target processing data to a local central control server and storing the data.
And the server group is used for switching the target data and the control authority to the control equipment of the remote cloud server group according to a multi-machine switching control strategy and performing hot backup when the monitoring device detects that the target processing data of the production line equipment is uploaded to the local central server group and is connected for more than a specified time T1.
8. The device of claim 7, wherein the service group has at least two sets of central control server groups, one set is a local server group where a production line is located, and the other set is a remote cloud server group;
the server group is divided into a main server group and a standby server group, when the main server fails, the detection device detects that the standby server normally operates, and the standby server group is switched to the main server by adopting a multi-machine switching control strategy.
The switching control detection method among the server groups is a heartbeat detection method, a resource management method and a network switching method.
9. The apparatus of claim 8, wherein when the offsite cloud server group controls the production line device, a request is sent to the local server group at an interval of time T2 to determine whether the local server group is normal, and if the local server group is normal, the local server group is automatically switched to the local server group control, and the target data is incrementally stored from the offsite cloud server to the local server group.
The target data are simultaneously stored in the local server group and the remote cloud server group, and the target data between the two server control groups are synchronized in real time;
when the network abnormality occurs locally and the data cannot be synchronized in real time, the data are temporarily stored in the local server, and after the network is recovered, the system automatically synchronizes the target data and uploads the target data to the remote cloud server for backup.
10. The apparatus according to any one of claims 7-9, wherein the processing means corresponds to different preset rules according to the target data, and the target data includes: data collected by a temperature sensor, a current sensor, a radar level meter and a video sensor;
the processing device controls the sandstone production line mechanical equipment according to preset rules of different equipment corresponding to the target data, and the sandstone production line mechanical equipment comprises: the anti-blocking machine comprises an anti-blocking manipulator, an automatic movable bin wall, a stepping motor and water pump mechanical equipment.
CN201910487644.0A 2019-06-05 2019-06-05 Gravel production line control data hot standby method and device Pending CN112051805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910487644.0A CN112051805A (en) 2019-06-05 2019-06-05 Gravel production line control data hot standby method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910487644.0A CN112051805A (en) 2019-06-05 2019-06-05 Gravel production line control data hot standby method and device

Publications (1)

Publication Number Publication Date
CN112051805A true CN112051805A (en) 2020-12-08

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910487644.0A Pending CN112051805A (en) 2019-06-05 2019-06-05 Gravel production line control data hot standby method and device

Country Status (1)

Country Link
CN (1) CN112051805A (en)

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