CN110921515A - Intelligent driving control system - Google Patents
Intelligent driving control system Download PDFInfo
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- CN110921515A CN110921515A CN201911393155.5A CN201911393155A CN110921515A CN 110921515 A CN110921515 A CN 110921515A CN 201911393155 A CN201911393155 A CN 201911393155A CN 110921515 A CN110921515 A CN 110921515A
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- 238000013461 design Methods 0.000 claims abstract description 10
- 238000004891 communication Methods 0.000 claims abstract description 9
- 239000002184 metal Substances 0.000 claims abstract description 8
- 230000007246 mechanism Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 23
- 230000008569 process Effects 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 9
- 230000033001 locomotion Effects 0.000 claims description 5
- 238000003754 machining Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract 1
- 230000007547 defect Effects 0.000 description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/48—Automatic control of crane drives for producing a single or repeated working cycle; Programme control
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/22—Control systems or devices for electric drives
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/46—Position indicators for suspended loads or for crane elements
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Control And Safety Of Cranes (AREA)
Abstract
The invention provides an intelligent driving control system, and relates to the field of driving control. The control system comprises an industrial personal computer, a Programmable Logic Controller (PLC), a travelling crane, a lifting hook, stations, fuzzy rules, an interlocking design and an open travelling crane flow, wherein an Rs-232 communication interface of the PLC is connected with a COM port of the industrial personal computer to realize serial communication, the PLC is electrically connected with the travelling crane, the travelling crane and the lifting hook are fixedly connected through a lifting mechanism, a motor of the travelling crane runs in a mode that the speed is divided into a low speed mode, a medium speed mode and a high speed mode, the number of the stations is multiple, the stations are numbered, station information is collected through a photoelectric sensor, when the sensors sense metal baffles on the stations, a high-point level signal is returned to be '1', and when no metal baffles exist, a low-level. Through the reasonable design to intelligent device for not only can the automatic operation of device when using, can satisfy nimble changeable requirement in the production technology moreover.
Description
Technical Field
The invention relates to the technical field of driving control, in particular to an intelligent driving control system.
Background
The mechanical industry is a major economic support for social development nowadays, and with the continuous progress of the mechanical industry, the trend of the mechanical industry is more and more intelligent in the mechanical production and manufacturing process, so that the production efficiency is greatly improved, wherein the use of a process machining traveling crane device in the production process is very common.
At present, most of the existing driving control systems are in a traditional mode, and the traditional driving control mode has certain defects and cannot be adjusted according to conditions, so that the control mode is inconvenient to use.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent driving control system, which solves the problem that the traditional driving control mode has certain defects and cannot be adjusted according to the situation, so that the control mode is inconvenient to use.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a driving control system of intelligence, control system includes industrial computer, PLC, driving, lifting hook, station, fuzzy rule, interlocking design, open driving flow.
Preferably, an Rs-232 communication interface of the PLC is connected with a COM port of an industrial personal computer to realize serial communication, and the PLC is electrically connected with the travelling crane.
Preferably, the travelling crane is fixedly connected with the lifting hook through a lifting mechanism, and the motor of the travelling crane runs in a low-speed mode, a medium-speed mode and a high-speed mode.
Preferably, the number of the stations is multiple, the stations are numbered by acquiring station information through a photoelectric sensor, when the sensor senses a metal baffle plate on the station, a high-level signal is returned to be '1', when no metal baffle plate exists, a low-level signal is returned to be '0', the numbering adopts an 8421 coding method, namely, 5 positioning photoelectric sensors are used for acquiring the station information, the sensor returns to a value of 00001 to represent the station No. 1, 00010 represents the station No. 2, and the like, 11010 represents the station No. 26.
Preferably, the fuzzy rules are respectively:
1) if the next workstation is not idle, the priority of the workstation is '0';
2) if the next station is idle, the priority is a set value;
3) if the next station of the next station is idle, the priority is higher than the set value;
4) and if the machining time of the previous station is up, a hoisting request is sent, and the next station is not idle, the priority of the next station is increased.
Preferably, the priority setting principle is that within the control range of each vehicle, some stations have strict requirements on time, the deviation value between the processing time and the process setting time must be ensured to be minimum, the priority setting is higher, the influence of the process of some stations on the time change on the product quality is small, and the priority setting is low.
Preferably, the interlock designs are respectively:
1) the travelling crane walking and the lifting mechanism are interlocked: when the flying target does not ascend or descend in place, the vehicle is strictly forbidden to walk;
2) the workpiece interlocking is as follows: when a workpiece sensor detects that workpieces exist in the station, a light fault alarm is given, and the descending of a flying target is corrected;
3) and (3) collision interlocking of traveling vehicles: when one vehicle runs at the junction or the junction, the motion instruction of the junction of the other vehicle does not execute the hoisting request temporarily, the other vehicle stores and waits, and the other vehicle leaves and then executes the command
Preferably, the open driving process comprises the following steps:
s1, comparing time of each station with priority;
s2, converting a lifting station after comparing the priorities;
s3, finding out the next working position after converting the lifting station;
s4, finding out whether a workpiece exists or not after finding out the next working position;
s5, executing the program without a workpiece;
and S6, clearing all the workpieces, and searching the priority.
(III) advantageous effects
The invention provides an intelligent driving control system. The method has the following beneficial effects:
1. through intelligent design, an operator on a production line is allowed to randomly set the walking stations of each hanging product and the sequence of the stations according to needs, each hanging product carries processing station required by the process and process voltage, current and temperature parameter information of each station when hanging, and a control system automatically generates a new driving walking route according to the parameters, so that the intelligent control system is more convenient to use.
2. By adopting the 8421 coding method, the station where the traveling crane is located at any moment and the station where each hanging product is located are determined, and the stations can be read out through the communication of the industrial personal computer and the PLC and displayed on the industrial personal computer, so that the real-time monitoring is facilitated.
3. By setting fuzzy rules, the travelling crane can meet the requirement of flexible and changeable production process in the running process.
4. Through the design of interlocking, the travelling crane is safer and more reliable in the operation process, and the production can be effectively carried out.
Drawings
FIG. 1 is a flow chart of the present invention for processing traffic scheduling during PLC programming.
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 (b):
as shown in fig. 1, an embodiment of the present invention provides an intelligent driving control system, where the control system includes an industrial personal computer, a PLC, a driving vehicle, a hook, a station, a fuzzy rule, an interlock design, and an open driving process.
The RS-232 communication interface of the PLC is connected with the COM port of the industrial personal computer to realize serial communication, the PLC is electrically connected with the travelling crane, the industrial personal computer is used for generating a human-computer interface and completing data detection and storage of the PLC as an actual controller and is used for controlling the movement of the travelling crane and other station parameters of each station, a process engineer on a production line can conveniently set required processing stations of workpieces through the human-computer interface according to the process requirements of substitute processing production and the temperature, current and voltage parameters of each station, the PLC controls the travelling crane to walk and adjust other parameters according to the sequence of the selected stations to meet the process requirements, and once the production process is selected, the whole production process except the loading and unloading of the workpieces is completely and automatically completed.
The travelling crane and the lifting hook are fixedly connected through the lifting mechanism, the motor of the travelling crane runs in three modes of low speed, medium speed and high speed according to the position of the travelling crane and the dynamic speed regulation and rotation speed of the distance between the travelling crane and the target station, the station where the travelling crane is located at any moment can be collected by the positioning sensor during the movement of the travelling crane, the station where the latest collected information value is located is used, the motor runs at high speed when the distance between the station where the travelling crane is located and the target station is more than or equal to 3 stations, the motor runs at medium speed when the distance is more than 1 station, and the motor runs at low speed when the distance is less than or equal.
The number of the stations is multiple, the stations are numbered by acquiring station information through a photoelectric sensor, when the sensor senses a metal baffle plate on the station, a high-point flat signal is returned to be 1, when no metal baffle plate exists, a low-level signal is returned to be 0, the number adopts an 8421 coding method, namely, 5 positioning photoelectric sensors are used for acquiring the station information, the sensor returns a value of 00001 to represent the station No. 1, 00010 represents the station No. 2, and the like, 11010 represents the station No. 26.
Wherein the fuzzy rules are respectively:
1) if the next workstation is not idle, the priority of the workstation is '0';
2) if the next station is idle, the priority is a set value;
3) if the next station of the next station is idle, the priority is higher than the set value;
4) and if the machining time of the previous station is up, a hoisting request is sent, and the next station is not idle, the priority of the next station is increased.
When the priority is '0', the travelling crane does not act, when no workpiece exists in the station or the workpiece processing time is set to a set value, no lifting request is made, after the system sets the station-changing priority to be '0' and the workpiece processing time reaches the set value, the system checks a table according to a fuzzy rule to obtain the priority of the station, and if the centralized rule is met at the same time, the priority of the station is the maximum value of the priorities in the fuzzy rules 2-4.
The priority setting principle is that within the control range of each vehicle, some stations have strict requirements on time, the deviation value between the processing time and the process setting time must be ensured to be minimum, the priority level setting is higher, the influence of the processes of some stations on the time change on the product quality is small, and the priority level setting is low
Wherein the interlocking design is respectively as follows:
1) the travelling crane walking and the lifting mechanism are interlocked: when the flying target does not ascend or descend in place, the vehicle is strictly forbidden to walk;
2) the workpiece interlocking is as follows: when a workpiece sensor detects that workpieces exist in the station, a light fault alarm is given, and the descending of a flying target is corrected;
3) and (3) collision interlocking of traveling vehicles: when one vehicle runs at the junction or the junction, the motion instruction of the intersection of the other vehicle does not execute the hoisting request temporarily, the vehicle is stored for waiting, and the command is executed after the other vehicle leaves.
The open type driving process comprises the following steps:
s1, comparing time of each station with priority;
s2, converting a lifting station after comparing the priorities;
s3, finding out the next working position after converting the lifting station;
s4, finding out whether a workpiece exists or not after finding out the next working position;
s5, executing the program without a workpiece;
and S6, clearing all the workpieces, and searching the priority.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a driving control system of intelligence which characterized in that: the control system comprises an industrial personal computer, a PLC, a traveling crane, a lifting hook, stations, fuzzy rules, an interlocking design and an open traveling crane flow.
2. An intelligent vehicle operation control system according to claim 1, wherein: and an Rs-232 communication interface of the PLC is connected with a COM port of the industrial personal computer to realize serial communication, and the PLC is electrically connected with the travelling crane.
3. An intelligent vehicle operation control system according to claim 1, wherein: the travelling crane is fixedly connected with the lifting hook through a lifting mechanism, and the motor of the travelling crane runs in three modes of low speed, medium speed and high speed.
4. An intelligent vehicle operation control system according to claim 1, wherein: the number of the stations is multiple, the stations are numbered by acquiring station information through a photoelectric sensor, when the sensor senses a metal baffle plate on the station, a high-point flat signal is returned to be '1', when no metal baffle plate exists, a low-level signal is returned to be '0', the numbering adopts an 8421 coding method, namely, 5 positioning photoelectric sensors are used for acquiring the station information, the sensor returns a value of 00001 to represent the station No. 1, 00010 to represent the station No. 2, and the like, 11010 to represent the station No. 26.
5. An intelligent vehicle operation control system according to claim 1, wherein: the fuzzy rules are respectively as follows:
1) if the next workstation is not idle, the priority of the workstation is '0';
2) if the next station is idle, the priority is a set value;
3) if the next station of the next station is idle, the priority is higher than the set value;
4) and if the machining time of the previous station is up, a hoisting request is sent, and the next station is not idle, the priority of the next station is increased.
6. An intelligent vehicle operation control system according to claim 5, wherein: the priority setting principle is that within the control range of each vehicle, some stations have strict requirements on time, the deviation value between the processing time and the process setting time is ensured to be minimum, the priority setting is higher, the influence of the processes of some stations on the time change on the product quality is small, and the priority setting is low.
7. An intelligent vehicle operation control system according to claim 1, wherein: the interlocking design is respectively as follows:
1) the travelling crane walking and the lifting mechanism are interlocked: when the flying target does not ascend or descend in place, the vehicle is strictly forbidden to walk;
2) the workpiece interlocking is as follows: when a workpiece sensor detects that workpieces exist in the station, a light fault alarm is given, and the descending of a flying target is corrected;
3) and (3) collision interlocking of traveling vehicles: when one vehicle runs at the junction or the junction, the motion instruction of the intersection of the other vehicle does not execute the hoisting request temporarily, the vehicle is stored for waiting, and the command is executed after the other vehicle leaves.
8. An intelligent vehicle operation control system according to claim 1, wherein: the open type driving process comprises the following steps:
s1, comparing time of each station with priority;
s2, converting a lifting station after comparing the priorities;
s3, finding out the next working position after converting the lifting station;
s4, finding out whether a workpiece exists or not after finding out the next working position;
s5, executing the program without a workpiece;
and S6, clearing all the workpieces, and searching the priority.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911393155.5A CN110921515A (en) | 2019-12-30 | 2019-12-30 | Intelligent driving control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911393155.5A CN110921515A (en) | 2019-12-30 | 2019-12-30 | Intelligent driving control system |
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| Publication Number | Publication Date |
|---|---|
| CN110921515A true CN110921515A (en) | 2020-03-27 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201911393155.5A Pending CN110921515A (en) | 2019-12-30 | 2019-12-30 | Intelligent driving control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021237773A1 (en) * | 2020-05-28 | 2021-12-02 | 南京钜力智能制造技术研究院有限公司 | Intelligent delivery apparatus for precast concrete pipe piles |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07144881A (en) * | 1993-11-19 | 1995-06-06 | Kajima Corp | Method and device for preventing swing of load of crane |
| CN103955171A (en) * | 2014-03-19 | 2014-07-30 | 东莞市维迅机械科技有限公司 | Surface processing equipment bridge crane intelligent control method and system based on fuzzy technology |
| CN104803291A (en) * | 2014-01-23 | 2015-07-29 | 象王重工股份有限公司 | Intelligent crane control system |
-
2019
- 2019-12-30 CN CN201911393155.5A patent/CN110921515A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07144881A (en) * | 1993-11-19 | 1995-06-06 | Kajima Corp | Method and device for preventing swing of load of crane |
| CN104803291A (en) * | 2014-01-23 | 2015-07-29 | 象王重工股份有限公司 | Intelligent crane control system |
| CN103955171A (en) * | 2014-03-19 | 2014-07-30 | 东莞市维迅机械科技有限公司 | Surface processing equipment bridge crane intelligent control method and system based on fuzzy technology |
Non-Patent Citations (1)
| Title |
|---|
| 丁金友等: "基于模糊智能的电镀生产线行车调度系统", 《合肥工业大学学报(自然科学版)》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021237773A1 (en) * | 2020-05-28 | 2021-12-02 | 南京钜力智能制造技术研究院有限公司 | Intelligent delivery apparatus for precast concrete pipe piles |
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Application publication date: 20200327 |