CN108803548B - Method and device for managing parallel operation of equipment - Google Patents

Method and device for managing parallel operation of equipment Download PDF

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CN108803548B
CN108803548B CN201810949024.XA CN201810949024A CN108803548B CN 108803548 B CN108803548 B CN 108803548B CN 201810949024 A CN201810949024 A CN 201810949024A CN 108803548 B CN108803548 B CN 108803548B
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equipment
parallel operation
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CN108803548A (en
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胡晓丹
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Zhangjiagang Kangdexin Optronics Material Co Ltd
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Zhangjiagang Kangdexin Optronics Material Co Ltd
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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]
    • G05B19/41865—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 job scheduling, process planning, material flow
    • 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
    • G05B2219/32—Operator till task planning
    • G05B2219/32252—Scheduling production, machining, job shop
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a method and a device for managing parallel operation of equipment, wherein the method comprises the following steps: acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of at least two parallel operation equipment; generating a second state list according to the first state list, wherein the second state list stores the update state data of each device in sequence, and the update state data comprises the associated state information between each device and other devices; and judging the total state of the parallel operation of the equipment according to the second state list. The invention can realize that a plurality of devices running in parallel are regarded as one device to obtain the integrated working state data.

Description

Method and device for managing parallel operation of equipment
Technical Field
The embodiment of the invention relates to the field of equipment operation management, in particular to a method and a device for equipment parallel operation management in the liquid crystal display technology.
Background
In the PI (Polyimide) process, a material Polyimide is printed on glass, and in the PI process, an APR (Anilox Print Roll) device and an injector device are main process devices, the APR device is mainly responsible for the imprinting process, and the injector device is mainly responsible for the spraying process. Therefore, it is a main method for measuring the PI process to integrate the status data of the APR device and the INJECT device by using a reasonable algorithm so as to effectively rely on the data to measure the main process capability of the PI manufacturing stage.
However, in actual work, the APR device and the INJECT device are self-state data that are reported separately, and therefore, only the working state of a single device can be represented, and when a plurality of devices operate in parallel, the total working state of the parallel operation cannot be represented, which increases the workload for judging the working state of the devices. In view of this, the present invention provides a method and an apparatus for managing parallel operation of devices, so as to solve the problem that when a plurality of devices operate in parallel, the total operating state of the parallel operation cannot be reflected.
Disclosure of Invention
The invention provides a method and a device for managing parallel operation of equipment, a computer readable storage medium and computer equipment, which are used for obtaining integrated working state data by regarding a plurality of parallel operated equipment as one equipment.
In a first aspect, an embodiment of the present invention provides a method for managing parallel operations of devices, where the method includes:
acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of at least two parallel operation equipment;
generating a second state list according to the first state list, wherein the second state list stores the update state data of each device in sequence, and the update state data comprises the associated state information between each device and other devices;
and judging the total state of the parallel operation of the equipment according to the second state list.
In a second aspect, an embodiment of the present invention further provides an apparatus for parallel operation management of devices, where the apparatus includes:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring a first state list of parallel operation equipment, and the first state list stores original state data of at least two parallel operation equipment;
a generating unit, configured to generate a second status list according to the first status list acquired by the acquiring unit, where the second status list stores update status data of each device in sequence, and the update status data includes associated status information between each device and other devices;
and the judging unit is used for judging the total state of the parallel operation of the devices according to the second state list generated in the generating unit.
In a third aspect, the present invention further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor is caused to execute the steps in the method for parallel operation management of devices according to the first aspect.
In a fourth aspect, the embodiment of the present invention further provides a computer device, including a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps in the method for device parallel operation management as described in the first aspect.
The invention integrates the working states of the parallel running devices to obtain the integrated working state data, solves the problem that the working state data of the parallel running devices can only be independently reported in the actual work and cannot be automatically integrated, so that the workload for judging the working state of the devices is increased, realizes the effect of obtaining the integrated working state data by regarding a plurality of parallel running devices as one device, and is particularly suitable for APR devices and INJECT devices in the PI process.
Drawings
Fig. 1a is a flowchart of a method for managing parallel operation of devices according to an embodiment of the present invention;
fig. 1b is a flowchart of a method for determining a total parallel operation state of devices according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for managing parallel operation of devices according to a second embodiment of the present invention;
fig. 3 is a block diagram of a device for parallel operation management of devices according to a third embodiment of the present invention;
fig. 4 is a computer device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1a is a flowchart of a method for device parallel operation management according to an embodiment of the present invention, which is applicable to a case where devices operating in parallel are two devices, specifically, an APR device and an INJECT device, and the method can be executed by a device for device parallel operation management. As shown in fig. 1a, the method specifically includes the following steps:
step 110, acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of two parallel operation equipment;
illustratively, the devices involved in this embodiment are two devices, i.e., an APR device and an INJECT device, and the first status list stores raw data of the APR device and the INJECT device, respectively, where the raw data includes, but is not limited to, a device name of each device, an ID of each record, an update time of the record, and status data of the devices. The state data of the equipment can be used as the original state data of the equipment; the update time of the record can be set according to the requirement, and is not limited herein.
For example, the APR device and the INJECT device are devices operating in parallel, and each device reports its own state data.
Step 120, generating a second state list according to the first state list, where the second state list stores update state data of each device in sequence, and the update state data includes associated state information between each device and other devices;
illustratively, the second status list is a list newly generated according to the first status list, and the second status list includes, but is not limited to, a device name of each device, an ID of each record, a record update time, current device status data, last different device status data, total device status data for parallel operation of devices, and an integrated device name. The recorded updating time can be set according to the requirement, and is not limited herein; the status data of the current device may be obtained from the status data of the devices in the first status list. Table 1 is a second state list table for both devices, which is merely an exemplary table.
Figure BDA0001771015470000051
TABLE 1
Illustratively, the storing the updated state data of each device in the second state list in sequence includes storing the updated state data of each device in chronological order, where the update times are arranged in chronological order as shown in table 1.
Further, the updated state data includes the associated state information between each device and other devices, and multiple columns of device state data are created in the second state list, where the number of columns of device state data corresponds to the number of other devices, and the multiple columns of device state data are respectively used to store the state data of the current device and the latest state data of other devices different from the current device. Illustratively, two columns of device state data are created in the second state list, and assuming that the current device is an APR device, one column of device state data is used for storing the state data of the APR device, and the other column of device state data is used for storing the latest state data of the INJECT device. In rank 2, as shown in table 1, the column of state data (state 1) of the current device is used to store the state data of the current APR device (the device name of the current APR device is here labeled as 1PI01-IJ2), and as shown in table 1, it is in DOWN state (device DOWN state), and the column of state data (state 2) of the last different device is used to store the latest state data of other device, different from the current device, of the input device (the device names of the other device, here labeled as 1PI01-IJ3), and as shown in table 1, it is in IDLE state (device IDLE state).
Further, the state data of the current device in the second state list may be directly imported from the first state list, specifically, the state data of the device is searched from the first state list according to the first start time and the end time, and is arranged according to the time sequence, the data corresponding to the first start time is used as the first piece of data, and the device name corresponding to the first piece of data is obtained, where it is assumed that the device corresponding to the first piece of data is an APR device; the method comprises the steps that first starting time corresponding to the APR equipment is used for reverse-narrating search from a first state list until equipment INJET different from the APR equipment is found, and the time correspondingly recorded by the equipment INJET is obtained and serves as second starting time; and importing the data between the second starting time and the ending time from the first state list into a second state list.
And step 130, judging the total state of the parallel operation of the equipment according to the second state list.
For example, the determining the total state of the parallel operation of the devices according to the second state list includes:
step 1301, comparing the state data of the current device with the latest state data of other devices different from the current device,
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the A state, the total state of the parallel operation is in the A state, otherwise, the next step is carried out;
specifically, as shown in fig. 1b, fig. 1b is a flowchart of a method for determining a total parallel operation state of devices according to an embodiment of the present invention, assuming that a current device is an APR device, the other device different from the current device is an input device, the status data of the APR device is set to be status 1, the latest status data of the input device is set to be status 2, the comparison of the state data of the current device and the latest state data of other devices different from the current device is to compare the state data state 1 of the APR device and the latest state data state 2 of the INJECT device, when any one of the state 1 and the state 2 is the A state, the total state (the state 3) of the parallel operation is the A state, otherwise, the next step is entered, wherein, the state 1 is a state, the state 2 is a state, and the state 1 and the state 2 are a states at the same time;
step 1302, when any one of the state data of the current device and the state data of other devices different from the current device is in the B state, the total state of the parallel operation is in the B state, otherwise, the next step is started;
specifically, as shown in fig. 1B, when any one of the state 1 and the state 2 is the B state, the total state of parallel operation is the B state, otherwise, the next step is entered, where any one of the state 1 and the state 2 is the B state, including that the state 1 is the B state, the state 2 is the B state, and the state 1 and the state 2 are both the B state;
step 1303, when any one of the state data of the current device and the state data of other devices different from the current device is in the C state, the total state of the parallel operation is in the C state, otherwise, the next step is performed;
specifically, as shown in fig. 1b, when any one of the state 1 and the state 2 is the C state, the total state of parallel operation is the C state, otherwise, the next step is entered, where any one of the state 1 and the state 2 is the C state, including that the state 1 is the C state, the state 2 is the C state, and the state 1 and the state 2 are both the C state;
and 1304, when any one of the state data of the current equipment and the latest state data of other equipment different from the current equipment is in the D state, the total parallel operation state is in the D state.
Specifically, as shown in fig. 1b, when any one of the state 1 and the state 2 is the D state, the total state of the parallel operation is the D state, wherein the D state of any one of the state 1 and the state 2 includes that the state 1 is the D state, the state 2 is the D state, and the state 1 and the state 2 are both the D state.
Specifically, the A, B, C, D four states are sequentially determined according to a priority order, where the a state determination priority is higher than the B state determination priority, the B state determination priority is higher than the C state determination priority, and the C state determination priority is higher than the D state determination priority, for example, A, B, C, D the four states are sequentially an RUN state (normal operating state of the device), an IDLE state (IDLE state of the device), a TEST state (device testing state), a DOWN state (device DOWN state), the above four states are merely exemplary, and an exemplary priority setting order.
For convenience of understanding, taking table 1 as an example, in row 2 of table 1 in sequence, if the state 1 data of the current device APR device is the DOWN state, and the latest state 2 data of other device INJECT devices different from the current device is the IDLE state, it is determined first whether any one of the DOWN state and the IDLE state is the RUN state, and if none of them is, it is determined continuously whether any one of the DOWN state and the IDLE state is the IDLE state, and if there is one of them, it is determined that the total state of parallel operation of the devices is the IDLE state.
If the data of state 1 of the APR device of the current device is the RUN state and the data of state 2 of the input device of another device different from the current device is the IDLE state in the 4 rows sorted in table 1, it is determined whether any one of the RUN state and the IDLE state is the RUN state, and if there is one of the RUN state, it is determined that the total state of the parallel operation of the devices is the RUN state.
The above method of determining the overall state of parallel operation of devices is only an exemplary method, and the present application includes, but is not limited to, the above method, and any determination method applicable to the present application is included in the present application.
The technical scheme of the embodiment of the invention can realize the integration of the working states of the two devices, particularly the integration of the working states of the APR device and the INJECT device in the PI manufacturing process, and solves the problem that the working state of the device is increased because the APR device and the INJECT device can only report the working state data of the APR device and the INJECT device independently in actual work and cannot automatically integrate the working state data. By using the embodiment of the invention, the judgment speed of the working state of the equipment can be accelerated, and the reasonable optimization judgment of the data can be realized.
Example two
Fig. 2 is a flowchart of a method for managing parallel operation of devices according to a second embodiment of the present invention, where the present embodiment is applicable to a case where the devices operating in parallel are three devices, and the method can be executed by a device for managing parallel operation of the devices. As shown in fig. 2, the method specifically includes the following steps:
step 210, obtaining a first state list of parallel operation equipment, wherein the first state list stores original state data of three parallel operation equipment;
illustratively, the first status list stores raw data of each device, including but not limited to a device name of each device, an ID of each record, an update time of the record, and status data of the device. The state data of the equipment can be used as the original state data of the equipment; the update time of the record can be set according to the requirement, and is not limited herein.
Illustratively, the three devices are devices operating in parallel, and each device reports its own state data.
Step 220, generating a second state list according to the first state list, where the second state list stores update state data of each device in sequence, and the update state data includes associated state information between each device and other devices;
illustratively, the second status list is a list newly generated according to the first status list, and the second status list includes, but is not limited to, a device name of each device, an ID of each record, a record update time, current device status data, last different device status data, total device status data for parallel operation of devices, and an integrated device name. The recorded updating time can be set according to the requirement, and is not limited herein; the status data of the current device may be obtained from the status data of the devices in the first status list. Table 2 is a second state list table for three devices, which is merely an exemplary table.
Figure BDA0001771015470000101
TABLE 2
Illustratively, the storing the update status data of each device in the second status list in sequence includes storing the update status data of each device in chronological order.
Further, the updating of the state data includes that the associated state information between each device and other devices includes creating multiple columns of device state data in a second state list, where the number of columns of device state data corresponds to the number of devices, and the multiple columns of device state data are respectively used to store the state data of the current device and the latest state data of other devices different from the current device. Illustratively, three columns of device status data are created in the second status list, and assuming that the current device is the a device and the other two devices are B, C devices, one column of the device status data is used to store the status data of the a device, and the other two columns of the device status data are used to store the latest status data of the B device and the latest status data of the C device. As shown in Table 2, in rank 3, the status data column for the current device A is used to store the status data for the current device A device (the device name of the current device A device is labeled here as 1PI01-IJ2), as shown in table 2, in the DOWN state (the DOWN state), the state data 1 column of the last different device is used to store the latest state data of the other device B devices different from the current device (the device names of the other device B devices are labeled as 1PI01-IJ1), as shown in table 2, the state data 2 column of the last different device is used to store the latest state data of the other device C devices different from the current device (the device names of the other device C devices are labeled as 1PI01-IJ3), and as shown in table 2, the state data is in IDLE state (device IDLE state).
Further, the status data of the current device in the second status list may be imported directly from the first status list.
And step 230, judging the total state of the parallel operation of the equipment according to the second state list.
For example, the determining the total state of the parallel operation of the devices according to the second state list includes:
comparing the state data of the current device with the latest state data of other devices different from the current device,
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the A state, the total state of the parallel operation is in the A state, otherwise, the next step is carried out;
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the B state, the total state of the parallel operation is in the B state, and if not, the next step is carried out;
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the C state, the total state of the parallel operation is in the C state, and if not, the next step is carried out;
and when any one of the state data of the current equipment and the latest state data of other equipment different from the current equipment is in the D state, the total state of the parallel operation is in the D state.
Specifically, the A, B, C, D four states are sequentially determined according to a priority order, where the a state determination priority is higher than the B state determination priority, the B state determination priority is higher than the C state determination priority, and the C state determination priority is higher than the D state determination priority, for example, A, B, C, D the four states are sequentially an RUN state (normal operating state of the device), an IDLE state (IDLE state of the device), a TEST state (device testing state), a DOWN state (device DOWN state), the above four states are merely exemplary, and an exemplary priority setting order.
For convenience of understanding, as shown in table 2, in row 3 of table 2, for example, if the state data of the device a is in the DOWN state, the latest state data of the devices B (1PI01-IJ1) different from the current device is in the DOWN state, and the latest state data of the devices C (1PI01-IJ3) different from the current device is in the IDLE state, it is determined whether any one of the states of the three devices, i.e., the last different device B of the device A, A and the last different device C of a, is in the RUN state, and if none of the states is in the IDLE state, it is determined whether any one of the states of the three devices is in the IDLE state, and if there is one IDLE state, it is determined that the total state of parallel operation is in the IDLE state.
The above method of determining the overall state of parallel operation of devices is only an exemplary method, and the present application includes, but is not limited to, the above method, and any determination method applicable to the present application is included in the present application.
The technical scheme of the embodiment of the invention can realize the integration of the working states of the three devices, and solves the problem that the device can only report the working state data of the device independently in the actual work and can not automatically integrate the working state data, thereby increasing the workload for judging the working state of the device. By using the embodiment of the invention, the judgment speed of the working state of the equipment can be accelerated, and the reasonable optimization judgment of the data can be realized.
Similarly, the present invention is also applicable to the general status determination of the parallel operation of more than three other devices, which is not exemplified herein.
EXAMPLE III
Fig. 3 is a block diagram of an apparatus for parallel operation management of devices according to a third embodiment of the present invention, where the apparatus may be implemented by software and/or hardware. As shown in fig. 3, the apparatus includes an acquisition unit 301, a generation unit 302, and a judgment unit 303.
The acquiring unit 301 is configured to acquire a first state list of parallel running devices, where the first state list stores original state data of at least two parallel running devices;
a generating unit 302, configured to generate a second status list according to the first status list acquired by the acquiring unit 301, where the second status list stores update status data of each device in sequence, where the update status data includes associated status information between each device and other devices;
a judging unit 303, configured to judge a total state of the parallel operations of the devices according to the second state list generated in the generating unit 302.
Further, the second status list in the generating unit 302 specifically stores the updated status data of each device in chronological order.
Further, the generating unit 302 is further configured to create multiple columns of device status data in the second status list, where the number of columns of the device status data corresponds to the number of devices, and the multiple columns of device status data are respectively used to store the status data of the current device and the latest status data of other devices different from the current device.
Further, the determining unit 303 further includes a comparing unit, configured to compare the status data of the current device with the latest status data of another device different from the current device,
when any one of the state data of the current device and the latest state data of other devices different from the current device is the a state, the judgment unit 303 judges that the total state of the parallel operation is the a state;
when any one of the state data of the current device and the latest state data of other devices different from the current device is in the B state, the judgment unit 303 judges that the total state of the parallel operation is in the B state;
when any one of the state data of the current device and the latest state data of other devices different from the current device is in the C state, the judgment unit 303 judges that the total state of the parallel operation is in the C state;
when any one of the state data of the current device and the latest state data of another device different from the current device is the D state, the judgment unit 303 judges that the total state of the parallel operation is the D state.
Specifically, the A, B, C, D four states are sequentially determined according to a priority order, where the a state determination priority is higher than the B state determination priority, the B state determination priority is higher than the C state determination priority, and the C state determination priority is higher than the D state determination priority, for example, A, B, C, D the four states are sequentially an RUN state (normal operating state of the device), an IDLE state (IDLE state of the device), a TEST state (device testing state), a DOWN state (device DOWN state), the above four states are merely exemplary, and an exemplary priority setting order.
Further, the device at least comprises an APR device and an INJECT device.
Example four
A fourth embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the processor is enabled to execute a method for managing parallel operation of devices, where the method includes:
acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of at least two parallel operation equipment;
generating a second state list according to the first state list, wherein the second state list stores the update state data of each device in sequence, and the update state data comprises the associated state information between each device and other devices;
and judging the total state of the parallel operation of the equipment according to the second state list.
Of course, the computer program of the computer-readable storage medium provided by the embodiment of the present invention, when executed by a processor, is not limited to the method operations described above, and may also perform related operations in the parallel operation general status determination provided by any embodiment of the present invention.
EXAMPLE five
Fig. 4 is a computer device 400 according to a fifth embodiment of the present invention, and includes a memory 402 and a processor 401, where the memory 402 stores a computer program, and when the computer program is executed by the processor 401, the processor 401 executes a method for device parallel operation management, where the method includes:
acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of at least two parallel operation equipment;
generating a second state list according to the first state list, wherein the second state list stores the update state data of each device in sequence, and the update state data comprises the associated state information between each device and other devices;
and judging the total state of the parallel operation of the equipment according to the second state list.
Of course, the computer program provided in the embodiments of the present invention is not limited to the method operations described above when being executed by the processor, and may also perform related operations in the parallel operation general status determination provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of judging the total state of parallel operation of the devices, each included unit and each included module are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention 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 invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for parallel operation management of devices, comprising:
acquiring a first state list of parallel operation equipment, wherein the first state list stores original state data of at least two parallel operation equipment;
generating a second state list according to the first state list, wherein the second state list stores the update state data of each device in sequence, and the update state data comprises the associated state information between each device and other devices;
judging the total state of the parallel operation of the equipment according to the second state list;
the judging the total state of the parallel operation of the devices according to the second state list comprises:
comparing the state data of the current device with the latest state data of other devices different from the current device,
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the A state, the total state of the parallel operation is in the A state, otherwise, the next step is carried out;
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the B state, the total state of the parallel operation is in the B state, and if not, the next step is carried out;
when any one of the state data of the current equipment and the state data of other equipment which is different from the current equipment is in the C state, the total state of the parallel operation is in the C state, and if not, the next step is carried out;
when any one of the state data of the current equipment and the state data of other equipment different from the current equipment is in a D state, the total state of parallel operation is in the D state;
the A, B, C, D four states are sequentially judged according to the priority order, wherein, the A state judgment priority is higher than the B state judgment priority, the B state judgment priority is higher than the C state judgment priority, and the C state judgment priority is higher than the D state judgment priority.
2. The method of parallel operation management of devices of claim 1, wherein said depositing update status data for each device in sequence comprises:
and storing the updated state data of each device according to the time sequence.
3. The method of device parallel operation management according to claim 1, wherein said generating a second state list comprises:
and establishing multi-column equipment state data in the second state list, wherein the number of the equipment state data columns corresponds to the number of the equipment, and the multi-column equipment state data is respectively used for storing the state data of the current equipment and the state data of other equipment which is different from the current equipment and is closest to the current equipment.
4. The method for device parallel operation management according to claim 1, wherein the devices comprise at least an APR device and an INJECT device.
5. An apparatus for parallel operation management of devices, comprising:
the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring a first state list of parallel operation equipment, and the first state list stores original state data of at least two parallel operation equipment;
a generating unit, configured to generate a second status list according to the first status list acquired by the acquiring unit, where the second status list stores update status data of each device in sequence, and the update status data includes associated status information between each device and other devices;
the judging unit is used for judging the total state of the parallel operation of the equipment according to the second state list generated in the generating unit;
the judging unit further comprises a comparing unit for comparing the state data of the current device with the state data of other devices different from the current device,
when any one of the state data of the current device and the state data of other devices different from the current device is in the A state, the judgment unit judges that the total parallel operation state is in the A state;
when any one of the state data of the current device and the state data of other devices different from the current device is in the B state, the judgment unit judges that the total parallel operation state is in the B state;
when any one of the state data of the current device and the state data of other devices different from the current device is in the C state, the judging unit judges that the total state of the parallel operation is in the C state;
when any one of the state data of the current device and the state data of other devices different from the current device is in a D state, the judging unit judges that the total state of the parallel operation is in the D state;
the A, B, C, D four states are sequentially judged according to the priority order, wherein, the A state judgment priority is higher than the B state judgment priority, the B state judgment priority is higher than the C state judgment priority, and the C state judgment priority is higher than the D state judgment priority.
6. The device for parallel operation management of equipment according to claim 5, wherein the second status list in the generating unit is specifically configured to store the updated status data of each piece of equipment in chronological order.
7. The apparatus for parallel operation management of devices according to claim 5, wherein the generating unit is further configured to create multiple columns of device status data in the second status list, where the number of columns of device status data corresponds to the number of devices, and the multiple columns of device status data are respectively used to store the status data of the current device and the latest status data of other devices different from the current device.
8. The apparatus for device parallel operation management according to claim 5, wherein the devices comprise at least an APR device and an INJECT device.
9. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 4.
10. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 4.
CN201810949024.XA 2018-08-20 2018-08-20 Method and device for managing parallel operation of equipment Active CN108803548B (en)

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