CN115097764A - Industrial remote control system and method based on 5g - Google Patents
Industrial remote control system and method based on 5g Download PDFInfo
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Abstract
The invention discloses an industrial remote control system and method based on 5g, belonging to the technical field of remote control; the method comprises the steps of acquiring a transport state evaluation value by simultaneously acquiring the importance aspect, abnormal state aspect and total number of different types of industrial equipment, comprehensively evaluating the overall state of the industrial equipment with faults through the transport state evaluation value, integrally evaluating the industrial equipment with single or multiple abnormal states from the whole, acquiring the influence degree of the faults according to the evaluation result, and then locally analyzing and evaluating according to the abnormal states of different industrial equipment so as to realize more comprehensive and diversified remote control and scheduling; the invention is used for solving the technical problems that the current integral fault condition and the historical fault condition of the equipment cannot be integrated and evaluated in the existing scheme, and different processing schemes can be implemented through self-adaptive remote control according to the evaluation result.
Description
Technical Field
The invention relates to the technical field of remote control, in particular to an industrial remote control system and method based on 5 g.
Background
In industrial remote control, an operator transmits a control instruction to a near-end controller (generally a Programmable Logic Controller (PLC)) through a communication network by using remote control equipment such as a computer, a mobile phone and the like, and the PLC receives the control instruction and converts the instruction into a machine language instruction through an internal programmable memory, so that the equipment is controlled, and the purposes of remote monitoring, remote control and remote maintenance of the equipment are achieved. In addition, the monitoring system can return the monitored data and the operation condition of the equipment to the computer processing center, and the data platform can store, analyze and process the data, so as to provide a basis for subsequent control and maintenance.
When the existing industrial remote control scheme is implemented, most of the existing industrial remote control schemes monitor, analyze and judge possible abnormalities through temperature, humidity, loudness or vibration of industrial equipment in operation through various monitoring sensors, when the industrial equipment in a plurality of abnormal operation states exists, different types of abnormal states cannot be simultaneously integrated, historical fault information of the industrial equipment in the abnormal operation states is evaluated, different processing schemes cannot be implemented by self-adaptive remote control for processing, independent isolated islands are formed among the remote controls of the industrial equipment in a plurality of abnormal operation states, and the overall effect of the industrial remote control is poor.
Disclosure of Invention
The invention aims to provide an industrial remote control system and method based on 5g, which are used for solving the technical problems that the current overall fault situation and the historical fault situation of equipment cannot be integrated and evaluated in the existing scheme, and different processing schemes can be implemented through self-adaptive remote control according to the evaluation result.
The purpose of the invention can be realized by the following technical scheme:
a5 g-based industrial remote control system comprises a fault monitoring module, a fault evaluation module, a communication module and an integrated scheduling module;
the fault monitoring module is used for monitoring and analyzing the operating state of the industrial equipment in each area to obtain a fault monitoring set and transmitting the fault monitoring set to the fault evaluation module through the communication module; the method comprises the following steps:
acquiring abnormal states and corresponding equipment thereof, wherein the abnormal states comprise abnormal states and serious states; setting different abnormal states to correspond to different state correlation values, matching the obtained abnormal states with all the abnormal states to obtain state correlation values corresponding to abnormal states and serious states, and marking the state correlation values as CG and ZG respectively;
counting the total number of the industrial equipment corresponding to the abnormal state and the serious state in the abnormal state, and respectively taking the values and marking the values as YC and YZ;
acquiring device names and position coordinates corresponding to the abnormal state and the serious state, acquiring corresponding device association values according to the device names and marking the device association values as SG;
the state correlation value of the value mark, the total number of equipment corresponding to the abnormal state and the serious state and a plurality of equipment correlation values are simultaneously acquired to obtain a running state evaluation value of the industrial equipment;
matching the motion state evaluation value with a preset motion state evaluation range to carry out overall evaluation on the abnormal state; if the motion estimation value is smaller than the minimum value of the motion estimation range, generating a light signal; if the motion estimation value is not smaller than the minimum value of the motion estimation range and not larger than the maximum value of the motion estimation range, generating a moderate signal; if the motion estimation value is larger than the maximum value of the motion estimation range, generating a heavy signal;
the light signal, the medium signal and the heavy signal form a fault monitoring set.
Preferably, the motion estimation value YZP is calculated by the formula:
in the formula, a1 and a2 are different proportionality coefficients which are larger than zero, and the value ranges of the proportionality coefficients are (0, 6).
Preferably, the fault evaluation module is configured to perform fault evaluation on a plurality of industrial devices in abnormal states according to the fault monitoring set, acquire a fault evaluation set including the abnormal devices and the conventional devices, and send the fault evaluation set to the integrated scheduling module through the communication module;
the integration scheduling module is used for integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a fault troubleshooting list, and remotely controlling and reminding maintenance personnel of relevant levels and relevant numbers of people to process according to the fault troubleshooting list.
Preferably, the fault evaluation of the plurality of industrial devices in which the abnormal state occurs according to the fault monitoring set includes:
when fault evaluation is carried out on all the industrial equipment in the abnormal state and the serious state, the historical fault information of each industrial equipment is preprocessed according to a preset evaluation time period;
acquiring historical failure reasons of each industrial device and corresponding failure correlation values within a preset evaluation time period, and marking the historical failure reasons and the corresponding failure correlation values as GG; counting the maintenance time length of each historical fault and marking the maintenance time length as WS; the unit of maintenance time is hour; counting the total number of faults of each industrial device in a preset evaluation time period, and marking the counted value as GC; counting the total number of the maintenance personnel dispatched from each historical fault and marking the total number as WR;
and performing simultaneous calculation and analysis on each preprocessed data to obtain a fault evaluation set.
Preferably, simultaneous calculation and analysis are performed on the preprocessed data items, including:
combining each item of data of the value mark with an equipment correlation value corresponding to the industrial equipment, and calculating by using a formula to obtain a fault evaluation value GZP of the industrial equipment; the formula is:
in the formula, b1 and b2 are different proportionality coefficients which are larger than zero, and the value ranges of the proportionality coefficients belong to (1, 20).
Preferably, the fault evaluation value is matched with a plurality of fault ranges contained in a pre-constructed fault list, if the fault evaluation value does not belong to any fault range, the abnormal state of the corresponding equipment is judged to be abnormal and an abnormal signal is generated, and the corresponding industrial equipment and the corresponding coordinate thereof are set as the abnormal equipment and the abnormal coordinate according to the abnormal signal;
if the fault evaluation value belongs to one of the fault ranges, judging that the abnormal state of the corresponding industrial equipment is a conventional abnormality and generating a conventional signal, and setting the corresponding equipment and the corresponding coordinate thereof as conventional equipment and a conventional coordinate according to the conventional signal;
several non-conventional devices and non-conventional coordinates and conventional devices and conventional coordinates constitute a fault assessment set.
Preferably, the integrating the information of the remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a troubleshooting list includes:
if the fault monitoring set contains a light signal, a moderate signal or a heavy signal, judging that the number of people needing to be overhauled is small, the number of people is medium and the number of people is large, generating a first person instruction, a second person instruction or a third person instruction, and generating a corresponding first-level dispatching person number, a second-level dispatching person number or a third-level dispatching person number according to the first person instruction, the second person instruction or the third person instruction.
Preferably, if the fault evaluation set contains the unconventional equipment, judging that an advanced maintainer is required to carry out maintenance and generating an advanced dispatching instruction, and remotely controlling and prompting the advanced maintainer to go to the unconventional coordinate corresponding to the unconventional equipment for processing according to the advanced dispatching instruction;
if the fault evaluation set contains the conventional equipment, acquiring a fault range corresponding to the conventional equipment and a corresponding conventional fault level, and remotely controlling and prompting a maintainer at the corresponding level to go to a conventional coordinate corresponding to the conventional equipment for processing according to the conventional fault level;
different types of personnel orders and the number of dispatchers and different levels of maintainers form troubleshooting lists.
In order to solve the above problems, the present invention further provides a 5 g-based industrial remote control method, including:
monitoring the operation state of the industrial equipment in each area, and acquiring the industrial equipment in different abnormal states, corresponding state associated values, equipment associated values and the total number of the equipment, and performing parallel calculation to obtain an operation state evaluation value of the industrial equipment;
matching the motion estimation value with a preset motion estimation range to integrally estimate the abnormal state to obtain a fault monitoring set containing a mild signal, a moderate signal and a severe signal;
fault evaluation is carried out on a plurality of industrial equipment in abnormal states according to the fault monitoring set, various data in historical fault information of the industrial equipment in a preset evaluation time period are obtained and are subjected to simultaneous calculation, and a fault evaluation value of the industrial equipment is obtained;
matching the fault evaluation value with a plurality of fault ranges contained in a pre-constructed fault list to obtain a fault evaluation set containing non-conventional equipment and conventional equipment;
and integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a fault troubleshooting list, and remotely controlling and reminding maintenance personnel of relevant levels and relevant numbers of people to process according to the fault troubleshooting list.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and a processor executing instructions stored in the memory to implement one of the 5 g-based industrial remote control systems described above.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention obtains the transport state evaluation value by simultaneously carrying out the importance aspect, the abnormal state aspect and the total number of different types of industrial equipment, comprehensively evaluates the overall state of the industrial equipment with faults through the transport state evaluation value, firstly carries out overall evaluation on the industrial equipment with single or multiple abnormal states from the whole, obtains the influence degree of the faults according to the evaluation result, and then carries out local analysis and evaluation according to the abnormal states of different industrial equipment, so as to realize more comprehensive and diversified remote control and scheduling.
2. The invention obtains the fault evaluation value by simultaneously acquiring the data of each aspect in the historical fault information, and evaluates the historical fault aspect of different types of industrial equipment based on the fault evaluation value, so that data support can be provided for the overhaul of the corresponding type of industrial equipment; the condition of faults of the industrial equipment is preliminarily analyzed and evaluated by combining data of the current aspect and data of the historical aspect, and corresponding maintainers are subjected to differentiated processing in self-adaptive remote control scheduling, so that the monitoring effect and the scheduling effect of industrial remote control are effectively improved.
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The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of an industrial remote control system based on 5g according to the present invention.
FIG. 2 is a schematic flow diagram of a 5 g-based industrial remote process according to the present invention.
Fig. 3 is a schematic structural diagram of a computer device implementing an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, the present invention is an industrial remote control system based on 5g, which includes a fault monitoring module, a fault evaluation module, a communication module and an integrated scheduling module; the communication module comprises a 5g network, and data transmission is carried out among the modules through the communication module;
the fault monitoring module is used for monitoring and analyzing the operating state of the industrial equipment in each area to obtain a fault monitoring set; the method comprises the following steps:
acquiring abnormal states and corresponding equipment thereof, wherein the abnormal states comprise abnormal states and serious states;
the abnormal state represents that the corresponding operation efficiency is lower than that of the normal state; a severe condition is indicated as shutdown and inoperability;
setting different abnormal states to correspond to a different state correlation value, matching the obtained abnormal states with all the abnormal states to obtain state correlation values corresponding to the abnormal state and the serious state, and respectively marking the state correlation values as CG and ZG;
the state correlation value is used for digitally representing an abnormal state, a corresponding state correlation value is preset for each of an abnormal state and a serious state, and specific numerical values of the state correlation values can be set based on existing industrial fault big data.
Counting the total number of the industrial equipment corresponding to the abnormal state and the serious state in the abnormal state, and respectively taking the values and marking the values as YC and YZ; the total number of the industrial equipment corresponding to the abnormal state and the serious state is at least one;
acquiring device names and position coordinates corresponding to the abnormal state and the serious state, matching the acquired device names with a pre-constructed device name table to acquire corresponding device association values, and marking the device association values as SG;
the device correlation values are used for carrying out digital and differential representation on different types of industrial devices so as to realize differential analysis and evaluation aiming at the different types of industrial devices, and the different types of industrial devices preset a corresponding device correlation value according to different importance;
the state correlation value of the value mark, the total number of equipment corresponding to the abnormal state and the serious state and a plurality of equipment correlation values are combined, and a formula is used for calculating and obtaining a motion state evaluation value YZP of the industrial equipment; the formula is:
in the formula, a1 and a2 are different scaling factors which are both greater than zero, and the value ranges of the scaling factors are (0,6), the preset scaling factor in the formula is set by a person skilled in the art according to actual conditions or obtained by a large amount of data simulation, for example, a1 can be 1.265, and a2 can be 3.473;
it is to be explained that the motion state evaluation value is a numerical value for comprehensively evaluating the overall state of the industrial equipment in which a failure occurs; the importance aspect, the abnormal state aspect and the total number of different types of industrial equipment are connected, so that the overall state of the industrial equipment with faults can be comprehensively evaluated; when industrial equipment fails, particularly faults in a serious state, chain reaction is easy to generate, so that a plurality of associated industrial equipment cannot normally operate, and the level of the integral state of the corresponding fault is high; in addition, there is a case where only a single industrial device is in an abnormal state and the operation of other industrial devices is not affected, and the level of the entire state of the corresponding fault is low.
Matching the motion state evaluation value with a preset motion state evaluation range to carry out overall evaluation on the abnormal state;
if the motion state evaluation value is smaller than the minimum value of the motion state evaluation range, judging that the overall fault state is a light level and generating a light signal;
if the motion estimation value is not smaller than the minimum value of the motion estimation range and not larger than the maximum value of the motion estimation range, judging that the overall fault condition is in a medium level and generating a medium signal;
if the motion state evaluation value is larger than the maximum value of the motion state evaluation range, judging that the overall state with the fault is a severe level and generating a severe signal;
the light signal, the moderate signal and the heavy signal form a fault monitoring set;
in the embodiment of the invention, the overall state of the industrial equipment with faults is comprehensively evaluated through the motion state evaluation value, the industrial equipment with single or multiple abnormal states is integrally evaluated firstly, the influence degree of the faults is obtained according to the evaluation result, and then the local analysis and evaluation are carried out according to the abnormal states of different industrial equipment, so that more comprehensive and diversified remote control and scheduling can be realized.
The fault evaluation module is used for carrying out fault evaluation on a plurality of industrial devices in abnormal states according to the fault monitoring set, acquiring a fault evaluation set containing unconventional devices and conventional devices and sending the fault evaluation set to the integrated scheduling module; the method comprises the following specific steps:
when fault evaluation is carried out on all the industrial equipment in the abnormal state and the serious state, the historical fault information of each industrial equipment is preprocessed according to a preset evaluation time period;
acquiring historical fault reasons of each industrial device in a preset evaluation time period, wherein the preset evaluation time period can be three months or half a year, setting different fault reasons to correspond to different fault correlation values, matching the acquired historical fault reasons with all the historical fault reasons to acquire corresponding fault correlation values, and marking the corresponding fault correlation values as GG;
the historical fault reasons of each industrial device can be obtained based on big data of fault maintenance, in addition, different fault reasons are preset with a corresponding fault associated value, the purpose of setting the fault associated value is to realize digital and differential representation of the textual historical fault reasons, and the operation state of the corresponding industrial device is evaluated based on the historical fault reasons, so that maintenance personnel can have a rough understanding before going to maintain, and the overall effect of remote control maintenance can be improved by arranging a maintenance scheme;
counting the maintenance time length of each historical fault and marking the maintenance time length as WS; the unit of maintenance time is hour;
counting the total number of faults of each industrial device in a preset evaluation time period, and marking the counted value as GC;
counting the total number of the maintenance personnel dispatched from each historical fault and marking the total number as WR;
combining all data of the value mark with an equipment correlation value corresponding to the industrial equipment, and calculating by using a formula to obtain a fault evaluation value GZP of the industrial equipment; the formula is:
in the formula, b1 and b2 are different proportionality coefficients which are larger than zero, and the value ranges of the proportionality coefficients belong to (1,20), b1 can be 3.658, and b2 can be 1.254;
it should be noted that the fault evaluation value is used for determining whether the industrial equipment in different abnormal states belongs to a conventional abnormal fault, and can classify the industrial equipment in the abnormal states so as to provide data support for implementing remote control regulation and control;
in addition, the formulas are obtained by removing dimensions and calculating numerical values, the formulas are obtained by acquiring a large amount of data and performing software simulation, and the formulas are closest to the real situation.
Matching the fault evaluation value with a plurality of fault ranges contained in a pre-constructed fault list, if the fault evaluation value does not belong to any fault range, judging that the abnormal state of the corresponding equipment is abnormal unconventional and generating an unconventional signal, and setting the corresponding industrial equipment and the corresponding coordinate thereof as the unconventional equipment and an unconventional coordinate according to the unconventional signal;
the fault list comprises a plurality of fault ranges, the number of the fault ranges of the embodiment of the invention can be three, the three fault ranges respectively correspond to a primary fault range, a middle-level fault range and a high-level fault range, and are all conventional faults which easily occur, when a fault evaluation value does not belong to one of the fault ranges, the fault evaluation value indicates that the fault which occurs in the history of the corresponding industrial equipment needs to be processed by high-level maintenance personnel, and specific numerical values of the plurality of fault ranges are set based on historical fault overhaul big data;
if the fault evaluation value belongs to one of the fault ranges, judging that the abnormal state of the corresponding industrial equipment is a conventional abnormality and generating a conventional signal, and setting the corresponding equipment and the corresponding coordinate thereof as conventional equipment and a conventional coordinate according to the conventional signal;
several non-conventional devices and non-conventional coordinates and conventional devices and conventional coordinates constitute a fault assessment set.
In the embodiment of the invention, the fault evaluation value is acquired based on the data of each aspect in the historical fault information, and the historical faults of different types of industrial equipment are evaluated based on the fault evaluation value, so that data support can be provided for the overhaul of the corresponding types of industrial equipment;
it is to be noted that the motion estimation value is a comprehensive monitoring analysis from the current dimension, the failure estimation value is a single monitoring analysis from the history dimension, and when there is only one abnormal industrial device, the failure estimation value has a higher priority than the motion estimation value.
The integration scheduling module is used for integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a troubleshooting list, remotely controlling and reminding maintenance personnel of relevant levels and relevant people to process according to the troubleshooting list, and comprises the following specific steps of:
determining signals contained in the fault monitoring set, if the fault monitoring set contains light signals, judging that the number of people needing to be overhauled is small, generating a first person instruction, and generating a corresponding primary dispatching number according to the first person instruction, wherein the primary dispatching number can be 1/3 of all the maintainers;
if the fault monitoring set contains the medium-level signal, judging that the number of people needing to be overhauled is medium, generating a second personnel instruction, and generating a corresponding secondary dispatching number of people according to the second personnel instruction, wherein the secondary dispatching number of people can be half of all the maintainers;
if the fault monitoring set contains the heavy signals, judging that the number of people needing to be overhauled is large, generating a third personnel instruction, and generating a corresponding three-level dispatching number according to the third personnel instruction, wherein the three-level dispatching number can be all the maintainers;
determining the equipment fault type existing in the fault evaluation set, if the fault evaluation set contains unconventional equipment, judging that an advanced maintainer is required to overhaul and generating an advanced scheduling instruction, and remotely controlling and prompting the advanced maintainer to go to an unconventional coordinate corresponding to the unconventional equipment for processing according to the advanced scheduling instruction;
if the fault evaluation set comprises the conventional equipment, acquiring a fault range corresponding to the conventional equipment and a corresponding conventional fault level, and remotely controlling and prompting a maintainer at the corresponding level to go to a conventional coordinate corresponding to the conventional equipment for processing according to the conventional fault level; the conventional fault level comprises a primary maintainer, a middle maintainer and a high-level maintainer, wherein the high-level maintainer is the same as the high-level maintainer corresponding to the non-conventional equipment;
different types of personnel orders and the number of dispatchers and different levels of maintainers form troubleshooting lists.
In the embodiment of the invention, the number of overhaul people and the overhaul level are evaluated respectively according to the fault monitoring set and the fault evaluation set, the fault of the industrial equipment is preliminarily analyzed and evaluated by combining the data of the current aspect and the historical aspect, and the corresponding maintainers are subjected to differentiated processing by self-adaptive remote control scheduling, so that the monitoring effect and the scheduling effect of the industrial remote control are effectively improved.
Example two
As shown in fig. 2, an industrial remote control method based on 5g includes:
monitoring the operation state of the industrial equipment in each area, and acquiring the industrial equipment in different abnormal states, corresponding state associated values, equipment associated values and the total number of the equipment, and performing parallel calculation to obtain an operation state evaluation value of the industrial equipment;
matching the motion estimation value with a preset motion estimation range to perform overall estimation on the abnormal state to obtain a fault monitoring set containing light signals, medium signals and heavy signals;
fault evaluation is carried out on a plurality of industrial equipment in abnormal states according to the fault monitoring set, various data in historical fault information of the industrial equipment in a preset evaluation time period are obtained and are subjected to simultaneous calculation, and a fault evaluation value of the industrial equipment is obtained;
matching the fault evaluation value with a plurality of fault ranges contained in a pre-constructed fault list to obtain a fault evaluation set containing non-conventional equipment and conventional equipment;
and integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a fault troubleshooting list, and remotely controlling and reminding maintenance personnel of relevant levels and relevant numbers of people to process according to the fault troubleshooting list.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a computer device for implementing a 5 g-based industrial remote control system according to an embodiment of the present invention.
The computer device may include a processor, a memory and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a 5 g-based industrial remote control program.
The memory includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory may in some embodiments be an internal storage unit of the computer device, for example a removable hard disk of the computer device. The memory may also be an external storage device of the computer device in other embodiments, such as a plug-in removable hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory may be used not only to store application software installed in the computer device and various kinds of data, such as a code based on a 5g industrial remote control program, etc., but also to temporarily store data that has been output or will be output.
A processor may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor is a Control Unit (Control Unit) of the computer device, connects various components of the entire computer device using various interfaces and lines, performs various functions of the computer device and processes data by running or executing programs or modules (e.g., 5 g-based industrial remote Control programs, etc.) stored in the memory, and calling data stored in the memory.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connected communication between the memory and at least one processor or the like.
Fig. 3 shows only a computer device having components, and those skilled in the art will appreciate that the configuration shown in fig. 3 does not constitute a limitation of the computer device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the computer device may further include a power supply (such as a battery) for supplying power to the various components, and preferably, the power supply may be logically connected to the at least one processor through a power management device, so that functions such as charge management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The computer device may further include various sensors, a bluetooth module, a Wi-Fi module, etc., which are not described herein again.
Further, the computer device may further include a network interface, which may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the computer device and other computer devices.
Optionally, the computer device may further comprise a user interface, which may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the computer device and for displaying a visualized user interface.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The memory in the computer device stores a 5 g-based industrial remote control program that is a combination of instructions.
Specifically, the specific implementation method of the instruction by the processor may refer to the description of the relevant steps in the corresponding embodiments of fig. 1 to fig. 2, which is not repeated herein.
Further, the computer device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The invention also provides a computer-readable storage medium having a computer program stored thereon, which computer program is to be executed by a processor of a computer device.
In the embodiments provided in the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. The industrial remote control system based on 5g is characterized by comprising a fault monitoring module, a fault evaluation module, a communication module and an integrated scheduling module;
the fault monitoring module is used for monitoring and analyzing the operating state of the industrial equipment in each area to obtain a fault monitoring set and transmitting the fault monitoring set to the fault evaluation module through the communication module; the method comprises the following steps:
acquiring abnormal states and corresponding equipment thereof, wherein the abnormal states comprise abnormal states and serious states; setting different abnormal states to correspond to a different state correlation value, matching the obtained abnormal states with all the abnormal states to obtain state correlation values corresponding to the abnormal state and the serious state, and respectively marking the state correlation values as CG and ZG;
counting the total number of the industrial equipment corresponding to the abnormal state and the serious state in the abnormal state, and respectively marking the total number as YC and YZ;
acquiring device names and position coordinates corresponding to the abnormal state and the serious state, acquiring corresponding device association values according to the device names and marking the device association values as SG;
the state associated value of the value mark, the total number of the devices corresponding to the abnormal state and the serious state and a plurality of device associated values are simultaneously obtained to obtain the motion state evaluation value of the industrial device;
matching the motion estimation value with a preset motion estimation range to perform overall estimation on the abnormal state; if the motion estimation value is smaller than the minimum value of the motion estimation range, generating a light signal; if the motion estimation value is not smaller than the minimum value of the motion estimation range and not larger than the maximum value of the motion estimation range, generating a moderate signal; if the motion estimation value is larger than the maximum value of the motion estimation range, a severe signal is generated;
the light signal, the medium signal and the heavy signal form a fault monitoring set.
2. The industrial remote control system based on 5g of claim 1, wherein the motion estimation value YZP is obtained by calculation according to the following formula:
in the formula, a1 and a2 are different proportionality coefficients which are larger than zero, and the value ranges of the proportionality coefficients are (0, 6).
3. The industrial remote control system based on 5g is characterized in that the fault evaluation module is used for carrying out fault evaluation on a plurality of industrial devices in abnormal states according to the fault monitoring set, acquiring a fault evaluation set containing the abnormal devices and the conventional devices and sending the fault evaluation set to the integrated scheduling module through the communication module;
the integration scheduling module is used for integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a fault troubleshooting list, and remotely controlling and reminding maintenance personnel of relevant levels and relevant numbers of people to process according to the fault troubleshooting list.
4. The 5 g-based industrial remote control system according to claim 3, wherein the fault assessment of the industrial devices with abnormal states according to the fault monitoring set comprises:
when fault evaluation is carried out on all the industrial equipment in the abnormal state and the serious state, the historical fault information of each industrial equipment is preprocessed according to a preset evaluation time period;
acquiring historical fault reasons of each industrial device and corresponding fault correlation values within a preset evaluation time period, and marking the historical fault reasons and the corresponding fault correlation values as GG; counting the maintenance time length of each historical fault and marking the maintenance time length as WS; the unit of maintenance time is hour; counting the total number of faults of each industrial device in a preset evaluation time period, and marking the counted value as GC; counting the total number of the maintenance personnel dispatched from each historical fault and marking the total number as WR;
and performing simultaneous calculation and analysis on each preprocessed data to obtain a fault evaluation set.
5. The 5 g-based industrial remote control system according to claim 4, wherein the simultaneous calculation and analysis of the preprocessed data items comprises:
combining all data of the value mark with an equipment correlation value corresponding to the industrial equipment, and calculating by using a formula to obtain a fault evaluation value GZP of the industrial equipment; the formula is:
in the formula, b1 and b2 are different proportionality coefficients which are larger than zero, and the value ranges of the proportionality coefficients are (1, 20).
6. The industrial remote control system based on 5g is characterized in that the fault evaluation value is matched with a plurality of fault ranges contained in a pre-constructed fault list, if the fault evaluation value does not belong to any fault range, the abnormal state of the corresponding equipment is judged to be abnormal and an abnormal signal is generated, and the corresponding industrial equipment and the corresponding coordinate thereof are set as the abnormal equipment and the abnormal coordinate according to the abnormal signal;
if the fault evaluation value belongs to one of the fault ranges, judging that the abnormal state of the corresponding industrial equipment is a conventional abnormality and generating a conventional signal, and setting the corresponding equipment and the corresponding coordinate thereof as conventional equipment and a conventional coordinate according to the conventional signal;
several non-conventional devices and non-conventional coordinates and conventional devices and conventional coordinates constitute a fault assessment set.
7. The industrial remote control system based on 5g of claim 3, wherein the integration of the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain the troubleshooting list comprises:
if the fault monitoring set contains a light signal, a moderate signal or a heavy signal, judging that the number of people needing to be overhauled is small, the number of people is medium and the number of people is large, generating a first person instruction, a second person instruction or a third person instruction, and generating a corresponding first-level dispatching person number, a second-level dispatching person number or a third-level dispatching person number according to the first person instruction, the second person instruction or the third person instruction.
8. The industrial remote control system based on 5g is characterized in that if unconventional equipment is contained in the fault assessment set, a high-level maintainer is judged to be required to overhaul and generate a high-level scheduling instruction, and the high-level maintainer is remotely controlled and prompted to go to the unconventional coordinates corresponding to the unconventional equipment to process according to the high-level scheduling instruction;
if the fault evaluation set comprises the conventional equipment, acquiring a fault range corresponding to the conventional equipment and a corresponding conventional fault level, and remotely controlling and prompting a maintainer at the corresponding level to go to a conventional coordinate corresponding to the conventional equipment for processing according to the conventional fault level;
different types of personnel orders and the number of dispatchers and different levels of maintainers form troubleshooting lists.
9. A5 g-based industrial remote control method is characterized by comprising the following steps:
monitoring the operation state of the industrial equipment in each area, and acquiring the industrial equipment in different abnormal states, corresponding state associated values, equipment associated values and the total number of the equipment, and performing parallel calculation to obtain an operation state evaluation value of the industrial equipment;
matching the motion estimation value with a preset motion estimation range to perform overall estimation on the abnormal state to obtain a fault monitoring set containing light signals, medium signals and heavy signals;
fault evaluation is carried out on a plurality of industrial equipment in abnormal states according to the fault monitoring set, various data in historical fault information of the industrial equipment in a preset evaluation time period are obtained and are subjected to simultaneous calculation, and a fault evaluation value of the industrial equipment is obtained;
matching the fault evaluation value with a plurality of fault ranges contained in a pre-constructed fault list to obtain a fault evaluation set containing non-conventional equipment and conventional equipment;
and integrating the information of remote scheduling according to the fault monitoring set and the fault evaluation set to obtain a fault troubleshooting list, and remotely controlling and reminding maintenance personnel of relevant levels and relevant numbers of people to process according to the fault troubleshooting list.
10. An electronic device, characterized in that the electronic device comprises:
a memory storing at least one instruction; and
and a processor executing instructions stored in the memory to implement one of the 5 g-based industrial remote control systems described above.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115511391A (en) * | 2022-11-15 | 2022-12-23 | 临沂龙泰建设工程有限公司 | Engineering quality supervision early warning system and method based on BIM model |
| CN116796202A (en) * | 2023-07-17 | 2023-09-22 | 上海朗晖慧科技术有限公司 | Equipment data matching method based on big data and abnormal data processing system |
| CN117850279A (en) * | 2024-01-12 | 2024-04-09 | 汗青数据咨询有限公司 | Intelligent control system based on information system integration |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115511391A (en) * | 2022-11-15 | 2022-12-23 | 临沂龙泰建设工程有限公司 | Engineering quality supervision early warning system and method based on BIM model |
| CN116796202A (en) * | 2023-07-17 | 2023-09-22 | 上海朗晖慧科技术有限公司 | Equipment data matching method based on big data and abnormal data processing system |
| CN116796202B (en) * | 2023-07-17 | 2024-06-04 | 上海朗晖慧科技术有限公司 | Equipment data matching method based on big data and abnormal data processing system |
| CN117850279A (en) * | 2024-01-12 | 2024-04-09 | 汗青数据咨询有限公司 | Intelligent control system based on information system integration |
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Application publication date: 20220923 |