CN110508912B - Dynamic planning management method and management system of spot welding machine - Google Patents

Dynamic planning management method and management system of spot welding machine Download PDF

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CN110508912B
CN110508912B CN201910375232.8A CN201910375232A CN110508912B CN 110508912 B CN110508912 B CN 110508912B CN 201910375232 A CN201910375232 A CN 201910375232A CN 110508912 B CN110508912 B CN 110508912B
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welding
welding machine
spot
decision
queue
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CN110508912A (en
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徐昊
尉学森
于洋展
尹戈
高忠林
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Tianjin 707 Hi Tech Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K11/00Resistance welding; Severing by resistance heating
    • B23K11/10Spot welding; Stitch welding
    • B23K11/11Spot welding
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K11/00Resistance welding; Severing by resistance heating
    • B23K11/36Auxiliary equipment

Abstract

The invention relates to the technical field of spot welding machines, in particular to a dynamic planning management method and a dynamic planning management system of a spot welding machine, wherein the dynamic planning management method comprises the following steps: establishing a spot welding machine group; applying for welding; monitoring network pressure and load; making a group control capacity limit decision; starting a welding process; moving out of the welding team; uploading welding data; with a tabu search algorithm as a guide, a decision model of a group control capacity-limiting decision system is established as follows: the empirical formula is:
Figure 100004_DEST_PATH_IMAGE001
. The method provided by the invention can be used for dynamically managing the welding current at the same time according to different phases and stations by combining the actual conditions of the welding production line, so as to prevent the operation imbalance of each welding production link and the three-phase imbalance of the power distribution network.

Description

Dynamic planning management method and management system of spot welding machine
Technical Field
The invention belongs to the technical field of spot welding machines, and particularly relates to a dynamic planning management method and a dynamic planning management system for a spot welding machine.
Background
In recent years, automobiles and other manufacturing industries in China develop rapidly, and a resistance welding machine is used as welding equipment which is most widely applied in the manufacturing industry and is of great importance to production. The resistance welder equipment as a high-power equipment has relatively high requirements on the bearing capacity of the transformer in the industrial field. However, the overall power environment in China often cannot fully meet the actual requirements of welding production at present, so that the welding machine equipment is required to consider the load condition of a power grid and the current load condition of a workshop simultaneously in normal operation. At present, welding machine equipment manufacturers in China generally set current according to welding specifications of each spot welder through butt welding machine equipment to carry out unified capacity limiting management, so that the problem of power grid overload is effectively avoided, and the condition that the sum of the welding current at the same moment does not exceed the power grid load is ensured. However, in practical application, because the differences between different phases and station welders are not considered, and only the welding current set according to the welding specifications is managed, the problems of unbalanced operation of each welding production link, unbalanced three phases of a power distribution network and the like are inevitably caused, and even some manufacturers choose to close a capacity limiting system to reduce the influence, so that potential safety hazards are brought to the production links.
Disclosure of Invention
The invention aims to provide a dynamic planning management method and a dynamic planning management system which can be used for dynamically managing welding current at the same time according to different phases and stations by combining the actual conditions of a welding production line so as to prevent operation imbalance of each welding production link and three-phase imbalance of a power distribution network.
The invention is realized by the following technical scheme:
the dynamic planning management method of the spot welding machine comprises the following steps:
establishing a spot welding cluster, namely taking all spot welding machine loads under each phase of the secondary side of the on-site power supply transformer as a spot welding cluster;
applying for welding, wherein each spot welder in a spot welder group must firstly send a welding application to a centralized control unit when a welding process starts;
after receiving a welding application, a network voltage and load monitoring-centralized control unit needs to detect the network voltage condition of a welding machine and the three-phase load balance condition of a spot welding machine group, if the network voltage exceeds the limit, a welding forbidding instruction is sent to the welding machine, the welding machine is added into a waiting welding queue, if the network voltage does not exceed the limit, the three-phase load balance detection is carried out, if the three-phase load balance detection is qualified, the welding queue is added, the welding of the spot welding machine is allowed, and if the three-phase load is unbalanced, the welding queue is added together with the spot welding machine with the network voltage exceeding the limit;
a group control capacity limiting decision-making step, namely determining the welding permission sequence of each welding machine through a group control capacity limiting decision-making system when spot welding machines waiting for welding in a welding queue wait for network voltage condition and three-phase load balancing, and sequentially entering a welding queue;
welding process start-welding is being performed by the welders in the welding team;
moving out the welding team, namely after welding of each spot welder is completed, sending a welding process completion signal to the centralized control unit, and after the centralized control unit sends a received signal, moving out the spot welder from the welding queue;
uploading welding data, namely after welding is finished, the welding machine transmits specific welding data to an upper computer to serve as a basis for subsequent group control capacity limiting decision;
with a tabu search algorithm as a guide, a decision model of a group control capacity-limiting decision system is established as follows:
the empirical formula is:
Figure 722085DEST_PATH_IMAGE001
the constraint conditions are as follows:
Figure 654269DEST_PATH_IMAGE002
Figure 874028DEST_PATH_IMAGE003
Figure 575268DEST_PATH_IMAGE004
the decision variables include:
Figure 490790DEST_PATH_IMAGE005
is an effective value of the total current of the welding machine at the moment t,
Figure 644691DEST_PATH_IMAGE006
for the total voltage of the transformer at time t,
Figure 668142DEST_PATH_IMAGE007
for transformersthe total power at the time t is,
Figure 223888DEST_PATH_IMAGE008
in order to achieve a single-phase voltage drop,
Figure 307382DEST_PATH_IMAGE009
for the line current on each phase at time t,
Figure 948579DEST_PATH_IMAGE010
for the number of on-line welders at time t,
f is the average temporary loading rate of the welding machine,
x is the total impedance of each phase.
Further, the process of the group control capacity limit decision system comprises:
determining an initial solution searched by the system by combining the welding records;
loading all welding machine and network voltage meta-ancestor information, and determining an initial residence group of the system;
defining a taboo table and a taboo length;
initializing a taboo table and a candidate table;
generating a neighborhood of a current solution;
determining an optimal solution of the objective function from the neighborhood;
selecting a relatively optimal solution, wherein the solution is the current optimal solution if the tabu condition is met, and the solution is deleted if the tabu condition is not met;
and if the iteration is not finished, updating the tabu table and the fitness and regenerating the neighborhood of the current solution.
The invention has the advantages of
According to the dynamic planning management method and the management system, each spot welder in a spot welder group sends a welding application to a centralized control unit when a welding process starts, the spot welder is added into a welding queue for welding after being qualified through network pressure and load monitoring, the spot welder which is unqualified in network pressure and load monitoring is added into a welding queue, the welding permission sequence of each spot welder is determined through a group control capacity limiting decision-making system when the network pressure waiting condition and the three-phase load of the spot welder in the welding queue are balanced, the spot welder enters the welding queue for welding in sequence, the welding current at the same moment can be dynamically managed according to different phases and stations in combination with the actual condition of a welding production line, so that the operation balance of each welding production link and the three-phase balance of a power distribution network are ensured;
and after welding, the welding machine transmits specific welding data to the upper computer to serve as a basis for subsequent group control capacity limiting decision, so that effective closed-loop management is formed, and the operation of the dynamic planning management method and system is more reliable.
Drawings
FIG. 1 is a flow chart of welding margin management;
FIG. 2 is a flow chart of a group control capacity limiting decision;
FIG. 3 is a schematic diagram of a schematic structure of a dynamic programming management system;
Detailed Description
The dynamic planning management method of the spot welding machine comprises the following steps:
establishing a spot welding cluster, namely taking all spot welding machine loads under each phase of the secondary side of the on-site power supply transformer as a spot welding cluster;
applying for welding, wherein each spot welder in a spot welder group must firstly send a welding application to a centralized control unit when a welding process starts;
after receiving a welding application, a network voltage and load monitoring-centralized control unit needs to detect the network voltage condition of a welding machine and the three-phase load balance condition of a spot welding machine group, if the network voltage exceeds the limit, a welding forbidding instruction is sent to the welding machine, the welding machine is added into a waiting welding queue, if the network voltage does not exceed the limit, the three-phase load balance detection is carried out, if the three-phase load balance detection is qualified, the welding queue is added, the welding of the spot welding machine is allowed, and if the three-phase load is unbalanced, the welding queue is added together with the spot welding machine with the network voltage exceeding the limit;
a group control capacity limiting decision-making step, namely determining the welding permission sequence of each welding machine through a group control capacity limiting decision-making system when spot welding machines waiting for welding in a welding queue wait for network voltage condition and three-phase load balancing, and sequentially entering a welding queue;
welding process start-welding is being performed by the welders in the welding team;
moving out the welding team, namely after welding of each spot welder is completed, sending a welding process completion signal to the centralized control unit, and after the centralized control unit sends a received signal, moving out the spot welder from the welding queue;
uploading welding data, namely after welding is finished, the welding machine transmits specific welding data to an upper computer to serve as a basis for subsequent group control capacity limiting decision;
with a tabu search algorithm as a guide, a decision model of a group control capacity-limiting decision system is established as follows:
the empirical formula is:
Figure 507211DEST_PATH_IMAGE001
the constraint conditions are as follows:
Figure 183043DEST_PATH_IMAGE002
Figure 437438DEST_PATH_IMAGE003
Figure 565931DEST_PATH_IMAGE004
the decision variables include:
Figure 931185DEST_PATH_IMAGE005
is an effective value of the total current of the welding machine at the moment t,
Figure 195944DEST_PATH_IMAGE006
for the total voltage of the transformer at time t,
Figure 621240DEST_PATH_IMAGE007
for the total power at the moment t of the transformer,
Figure 251678DEST_PATH_IMAGE008
in order to achieve a single-phase voltage drop,
Figure 420622DEST_PATH_IMAGE009
for the line current on each phase at time t,
Figure 805467DEST_PATH_IMAGE010
for the number of on-line welders at time t,
f is the average temporary loading rate of the welding machine,
x is the total impedance of each phase.
Further, the process of the group control capacity limit decision system comprises:
determining an initial solution searched by the system by combining the welding records;
loading all welding machine and network voltage meta-ancestor information, and determining an initial residence group of the system;
defining a taboo table and a taboo length;
initializing a taboo table and a candidate table;
generating a neighborhood of a current solution;
determining an optimal solution of the objective function from the neighborhood;
selecting a relatively optimal solution, wherein the solution is the current optimal solution if the tabu condition is met, and the solution is deleted if the tabu condition is not met;
and if the iteration is not finished, updating the tabu table and the fitness and regenerating the neighborhood of the current solution.
The dynamic planning management system of the spot welding machine comprises industrial personal computer equipment, a centralized control unit, a CAN-Wifi communication conversion unit, spot welding machine equipment and networking equipment.
According to the dynamic planning management method and the management system provided by the invention, each spot welder in a spot welder group sends a welding application to the centralized control unit when the welding process starts, the spot welder is added into the welding queue for welding after being qualified through network pressure and load monitoring, the spot welder which is unqualified in network pressure and load monitoring is added into the welding queue, the welding allowable sequence of each spot welder is determined through the group control capacity-limiting decision-making system when the network pressure condition and the three-phase load of the spot welder in the welding queue are waited to be balanced, and the spot welder enters the welding queue for welding in sequence, so that the dynamic management can be carried out on the welding current at the same moment according to different phases and stations in combination with the actual condition of a welding production line, so as to ensure the operation balance of each welding production link and the three-phase balance of a power distribution network;
and after welding, the welding machine transmits specific welding data to the upper computer to serve as a basis for subsequent group control capacity limiting decision, so that effective closed-loop management is formed, and the operation of the dynamic planning management method and system is more reliable.
With a tabu search algorithm as a guide, a decision model of a group control capacity-limiting decision system is established as
Figure 136085DEST_PATH_IMAGE001
The spot welding machines in the waiting welding queue are subjected to dynamic decision management through the decision model, so that the balance work of each link of the production line can be further better guaranteed according to the specific conditions of a workshop, the average waiting welding time of each welding machine is balanced as much as possible, and the online quantity of the welding machines can be guaranteed as much as possible according to the power grid state and the power utilization condition of a factory at different time intervals every day.
The flow of the group control capacity limiting decision system can enable the group control capacity limiting decision system to generate the current optimal solution according to the specific conditions of a workshop, so that each link of the production line reaches the optimal balance state.
A dynamic planning management system of a spot welding machine comprises an industrial personal computer device, a centralized control unit, a CAN-Wifi communication conversion unit, spot welding machine devices and networking devices, wherein a spot welding machine group is managed in a CAN bus form, and a PLC centralized control unit is provided with a special CANOpen communication module and is connected to a spot welding machine group communication network. And the communication module writes a related processing program of the capacity limiting algorithm and the power operation into the PLC. The PLC centralized control unit is used as a core working unit of a system capacity limiting function, when capacity limiting judgment is needed, the PLC communicates with an external special network voltage monitoring module to obtain real-time network voltage data and three-phase load conditions as a part of capacity limiting judgment basis, communicates with an upper computer to obtain historical data such as welding current, welding time and the like of a corresponding welding machine group stored in a database, combines temporary data such as real-time states of welding machines, welding waiting queues and the like in a data cache, and finally makes a decision result of welding permission or prohibition based on an algorithm program to realize a welding capacity limiting management function. The upper computer is used as user interaction equipment in the system, processes various basic service logics, and is also responsible for providing data such as welding effective current, welding time and the like for the PLC equipment. When welding result data are received each time, the upper computer is stored in the database server according to a specified format, a data port is opened for the PLC equipment, and when a data acquisition request of the PLC is received, in order to avoid overlarge operation workload of the PLC, the upper computer processes the specified recorded data in the database according to a related formula in an algorithm and then sends the processed recorded data back to the PLC equipment. The database Server adopts SQL Server 2008 version.
In summary, the dynamic planning management method and the management system provided by the invention can dynamically manage the welding current at the same time according to different phases and stations by combining the actual conditions of the welding production line, so as to prevent the operation imbalance of each welding production link and the three-phase imbalance of the power distribution network.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (2)

1. The dynamic planning management method of the spot welding machine is characterized by comprising the following steps:
establishing a spot welding cluster, namely taking all spot welding machine loads under each phase of the secondary side of the on-site power supply transformer as a spot welding cluster;
applying for welding, wherein each spot welder in a spot welder group must firstly send a welding application to a centralized control unit when a welding process starts;
after receiving a welding application, a network voltage and load monitoring-centralized control unit needs to detect the network voltage condition of a welding machine and the three-phase load balance condition of a spot welding machine group, if the network voltage exceeds the limit, a welding forbidding instruction is sent to the welding machine, the welding machine is added into a waiting welding queue, if the network voltage does not exceed the limit, the three-phase load balance detection is carried out, if the three-phase load balance detection is qualified, the welding queue is added, the welding of the spot welding machine is allowed, and if the three-phase load is unbalanced, the welding queue is added together with the spot welding machine with the network voltage exceeding the limit;
a group control capacity limiting decision-making step, namely determining the welding permission sequence of each welding machine through a group control capacity limiting decision-making system when spot welding machines waiting for welding in a welding queue wait for network voltage condition and three-phase load balancing, and sequentially entering a welding queue;
welding process start-welding is being performed by the welders in the welding team;
moving out the welding team, namely after welding of each spot welder is completed, sending a welding process completion signal to the centralized control unit, and after the centralized control unit sends a received signal, moving out the spot welder from the welding queue;
uploading welding data, namely after welding is finished, the welding machine transmits specific welding data to an upper computer to serve as a basis for subsequent group control capacity limiting decision;
with a tabu search algorithm as a guide, a decision model of a group control capacity-limiting decision system is established as follows:
the empirical formula is:
Figure DEST_PATH_IMAGE001
the constraint conditions are as follows:
Figure 100526DEST_PATH_IMAGE002
Figure 499277DEST_PATH_IMAGE004
Figure 335646DEST_PATH_IMAGE006
the decision variables include:
Figure DEST_PATH_IMAGE007
is an effective value of the total current of the welding machine at the moment t,
Figure 670548DEST_PATH_IMAGE008
for the total voltage of the transformer at time t,
Figure DEST_PATH_IMAGE009
for the total power at the moment t of the transformer,
Figure 289880DEST_PATH_IMAGE010
in order to achieve a single-phase voltage drop,
Figure DEST_PATH_IMAGE011
for the line current on each phase at time t,
Figure 480821DEST_PATH_IMAGE012
for the number of on-line welders at time t,
f is the average temporary loading rate of the welding machine,
x is the total impedance of each phase.
2. The dynamic planning management method for spot welding machine according to claim 1, wherein the flow of the group control capacity limit decision system comprises:
determining an initial solution searched by the system by combining the welding records;
loading all welding machine and network voltage meta-ancestor information, and determining an initial residence group of the system;
defining a taboo table and a taboo length;
initializing a taboo table and a candidate table;
generating a neighborhood of a current solution;
determining an optimal solution of the objective function from the neighborhood;
selecting a relatively optimal solution, wherein the solution is the current optimal solution if the tabu condition is met, and the solution is deleted if the tabu condition is not met;
and if the iteration is not finished, updating the tabu table and the fitness and regenerating the neighborhood of the current solution.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1872480A (en) * 2005-06-03 2006-12-06 上海科源电子科技有限公司 Group controlled limiting volumetric apparatus for electric welding machine
CN101303593A (en) * 2008-06-26 2008-11-12 天津七所高科技有限公司 Intelligent spot welding machine centralized control networking management system
CN103921022A (en) * 2013-09-18 2014-07-16 芜湖莫森泰克汽车科技有限公司 Networking intelligent management system of welding machines
CN105209993A (en) * 2013-03-14 2015-12-30 林肯环球股份有限公司 Systems and method for creating or modifying a welding sequence
CN106325247A (en) * 2016-08-29 2017-01-11 中国冶集团有限公司 Dynamic information management device, system and method for electric welding machine on construction site
CN106493492A (en) * 2016-11-14 2017-03-15 天津七所高科技有限公司 A kind of CAN star network implementation method and device based on WiFi
JP2018094630A (en) * 2016-12-12 2018-06-21 Smc株式会社 Cooling water management device, and cooling water management unit assembling said device
CN208399950U (en) * 2018-07-05 2019-01-18 天津七所高科技有限公司 Normative choice system is concentrated in welding
CN109317799A (en) * 2018-11-21 2019-02-12 广州市精源电子设备有限公司 Spot welding power output adjusting method, device, system and storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1872480A (en) * 2005-06-03 2006-12-06 上海科源电子科技有限公司 Group controlled limiting volumetric apparatus for electric welding machine
CN101303593A (en) * 2008-06-26 2008-11-12 天津七所高科技有限公司 Intelligent spot welding machine centralized control networking management system
CN105209993A (en) * 2013-03-14 2015-12-30 林肯环球股份有限公司 Systems and method for creating or modifying a welding sequence
CN103921022A (en) * 2013-09-18 2014-07-16 芜湖莫森泰克汽车科技有限公司 Networking intelligent management system of welding machines
CN106325247A (en) * 2016-08-29 2017-01-11 中国冶集团有限公司 Dynamic information management device, system and method for electric welding machine on construction site
CN106493492A (en) * 2016-11-14 2017-03-15 天津七所高科技有限公司 A kind of CAN star network implementation method and device based on WiFi
JP2018094630A (en) * 2016-12-12 2018-06-21 Smc株式会社 Cooling water management device, and cooling water management unit assembling said device
CN208399950U (en) * 2018-07-05 2019-01-18 天津七所高科技有限公司 Normative choice system is concentrated in welding
CN109317799A (en) * 2018-11-21 2019-02-12 广州市精源电子设备有限公司 Spot welding power output adjusting method, device, system and storage medium

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