CN113885386A - Force arm control management system for non-standard part automatic production - Google Patents
Force arm control management system for non-standard part automatic production Download PDFInfo
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- CN113885386A CN113885386A CN202111178084.4A CN202111178084A CN113885386A CN 113885386 A CN113885386 A CN 113885386A CN 202111178084 A CN202111178084 A CN 202111178084A CN 113885386 A CN113885386 A CN 113885386A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23P—METAL-WORKING NOT OTHERWISE PROVIDED FOR; COMBINED OPERATIONS; UNIVERSAL MACHINE TOOLS
- B23P19/00—Machines for simply fitting together or separating metal parts or objects, or metal and non-metal parts, whether or not involving some deformation; Tools or devices therefor so far as not provided for in other classes
- B23P19/04—Machines for simply fitting together or separating metal parts or objects, or metal and non-metal parts, whether or not involving some deformation; Tools or devices therefor so far as not provided for in other classes for assembling or disassembling parts
- B23P19/06—Screw or nut setting or loosening machines
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
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Abstract
The invention discloses a force arm control management system for automatic production of non-standard parts, which relates to the technical field of force arm control management and solves the technical problem that screws on products cannot be monitored in the prior art; the screw is monitored in real time in the operation process of detecting the moment arm, so that the increase of the operation safety risk of the detection moment arm caused by the abnormality of the screw in the operation process is prevented; the operation detection analysis of the detection force arm prevents the detection force arm from generating faults in the operation process, so that the operation efficiency of the detection force arm is reduced; the operating efficiency of the detection force arm in the monitoring time is analyzed, the operating efficiency of the detection force arm is judged, and the reduction of the product qualification rate of the production line caused by the abnormal operation of the detection force arm is prevented.
Description
Technical Field
The invention relates to the technical field of moment arm control management, in particular to a moment arm control management system for non-standard part automatic production.
Background
The automatic production is production application which is carried out by adopting an automatic technology, the social labor productivity is greatly improved, and according to the degree of automation, the production can be divided into semi-automatic production and full-automatic production, wherein the automatic technology is partially adopted in the production process, and the manual operation is partially carried out, and the full processes of the whole production process are carried out by adopting a mechanical arm, the mechanical arm only indirectly supervises the work of a machine without manual direct participation in the processes of feeding, blanking, packaging, transportation and the like, and the mechanical arm is put into use in various production fields along with the update and the update of the automation;
however, in the prior art, the products in a factory are various, the screw tightening positions are irregular, and the error prevention of the process is very complicated, so that the compatibility of nonstandard automation equipment is poor, the screw state of the product cannot be detected, the state of the screw on a mechanical arm cannot be ensured, and the working efficiency of a production line is reduced;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide a force arm control management system for automatic production of non-standard parts, which is used for collecting screws arranged in a production force arm, digitizing the positions of the screws, improving the accuracy of screw monitoring, improving the management and control efficiency of the production force arm, preventing the reduction of the production efficiency caused by the failure of the force arm by monitoring in time, monitoring the screws in real time in the operation process of detecting the force arm, preventing the increase of the operation safety risk of the detection force arm due to the abnormality of the screws in the operation process, detecting and analyzing the operation of the detection force arm, and preventing the reduction of the operation efficiency of the detection force arm due to the failure of the detection force arm in the operation process.
The purpose of the invention can be realized by the following technical scheme:
a force arm control management system for non-standard part automatic production comprises a control management platform and an operation analysis platform, wherein a server is arranged in the control management platform, the server is in communication connection with a data initial unit and an abnormality monitoring unit, a controller is arranged in the operation analysis platform, and the controller is in communication connection with an environment analysis unit, an efficiency analysis unit and a database;
monitoring screw point positions of a production force arm through a control management platform, generating an initial data acquisition signal by a server and sending the initial data acquisition signal to a data initial unit, acquiring screws arranged in the production force arm after the initial data acquisition signal is received by the data initial unit, dividing the screws into simple screws and complex screws, sending the simple screws and the complex screws to the server, generating an abnormity monitoring instruction after the server receives the simple screws and the complex screws and sending the abnormity monitoring instruction to an abnormity monitoring unit, and monitoring the screws in real time in the process of detecting the operation of the force arm through the abnormity monitoring unit; dividing the screws into abnormal operation screws and normal operation screws, and sending the abnormal operation screws and the normal operation screws to a server;
the server generates an operation analysis instruction and sends the operation analysis instruction to the operation analysis platform after receiving the operation normal screw, the operation analysis platform detects and analyzes the operation of the detection force arm after receiving the operation analysis instruction, the controller generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the environment analysis unit analyzes and detects the operation environment of the detection force arm; and analyzing the operation efficiency of the detection moment arm in the monitoring time through an efficiency analysis unit.
Further, the analysis process of the initial unit of data is as follows:
marking the force arm put into production as a detection force arm, acquiring each force arm surface of the detection force arm, marking each force arm surface as i, and i is a natural number more than 1, the screw existing in each force arm surface is collected, a mark o is set, o is a natural number more than 1, the center of each force arm surface is taken as a reference point, the transverse distance and the longitudinal distance between each screw position in the force arm surface and the corresponding reference point are obtained, setting the initial position coordinates of each screw in the force arm surface according to the transverse distance and the longitudinal distance of each screw, and marking the initial position coordinates as (Xio, Yio), sending the initial position coordinates to a server, monitoring the initial position coordinates by the server, if the numerical value corresponding to the initial position coordinates floats, judging that the corresponding screw is loosened, generating a screw abnormal movement signal, and adjusting the corresponding distance value of the screw according to the numerical value floating value of the numerical value corresponding to the initial position coordinate;
analyzing each screw of each force arm surface of the detection force arm, acquiring the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface, and respectively marking the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface as LJKio, LCBio and LWJeo; obtaining an operation analysis coefficient Xio of the screw on the detection moment arm through analysis; comparing the operational analysis coefficient of the screw on the detection arm with an operational analysis coefficient threshold value:
if the operation analysis coefficient of the screw on the detection force arm is larger than or equal to the operation analysis coefficient threshold value, judging that the corresponding screw is a complex screw, and sending the complex screw to a server; and if the operation analysis coefficient of the screw on the detection force arm is less than the operation analysis coefficient threshold value, judging that the corresponding screw is a simple screw, and sending the simple screw to the server.
Further, the monitoring process of the abnormality monitoring unit is as follows:
monitoring each screw, taking a plane area of the screw in the stress arm surface as a reference surface, acquiring the distance between the nut of each screw and the corresponding reference surface, and marking the distance between the nut of each screw and the corresponding reference surface as JGo; acquiring the verticality between the screw of each screw and the corresponding reference surface, and marking the verticality between the screw of each screw and the corresponding reference surface as CZo;
comparing the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface with a spacing distance range threshold value and a perpendicularity range threshold value respectively:
if any value of the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface is not within the corresponding range threshold value, judging that the corresponding screw is abnormal, and marking the corresponding screw as an abnormal running screw; if the spacing distance between the screw cap of the screw and the corresponding reference surface and the verticality between the screw rod of the screw and the corresponding reference surface are both located at the corresponding range threshold, judging that the corresponding screw is normal, and marking the corresponding screw as a normal running screw;
and sending the abnormal running screws and the normal running screws to a server together.
Further, the environment analysis process of the environment analysis unit is as follows:
monitoring a detection moment arm in operation, setting monitoring time, taking a starting point of the monitoring time as an initial moment of the operation of the detection moment arm, carrying out temperature acquisition on the detection moment arm, and marking the temperature of the detection moment arm acquired in real time as JCW; acquiring temperature values in the environment around the detection moment arm, and marking the temperature values in the environment around the detection moment arm acquired in real time as HWD;
dividing the monitoring time into a plurality of sub-time periods, analyzing the change trend of the environmental temperature in each sub-time period, and if the environmental temperature is in the increasing trend, marking the corresponding sub-time period as a heating time period; if the ambient temperature is in a decreasing trend, marking the corresponding sub-time period as a cooling time period; analyzing the temperature rising time period and the temperature lowering time period, and judging that the environmental temperature has influence if the temperature of the detection moment arm in the temperature rising time period is in a rising trend; if the temperature of the detected force arm is in a descending trend within the cooling time period, judging that the environmental temperature has influence; if the temperature of the detection force arm in the temperature rising time period is in a descending trend or the temperature of the detection force arm in the temperature lowering time period is in an ascending trend, judging that the environmental temperature has no influence;
if the environment temperature has influence, acquiring the floating value and the average floating speed of the environment temperature, and comparing the floating value and the average floating speed of the environment temperature with a floating value threshold value and an average floating speed threshold value respectively: if any value of the floating value of the environment temperature and the average floating speed is larger than the corresponding threshold value, judging that the environment analysis is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to the controller, and after receiving the environment abnormal signal, the controller conducts settlement on the environment around the detected moment arm; and if the environmental temperature has no influence, generating a temperature no-influence signal and sending the temperature no-influence signal to the controller.
Further, the efficiency analysis process of the efficiency analysis unit is as follows:
acquiring a moving amplitude difference value and a reciprocating distance difference value of the detection force arm, and comparing the moving amplitude difference value and the reciprocating distance difference value of the detection force arm with a moving amplitude difference value range threshold value and a reciprocating distance difference value range threshold value respectively: if any value of the movement amplitude difference value and the reciprocating distance difference value of the detection force arm is not located in the corresponding range threshold value, judging that the operation of the corresponding detection force arm is abnormal, generating a detection signal of the detection force arm and sending the detection signal of the detection force arm to a mobile phone terminal of a maintainer; after the maintenance personnel finish the maintenance, the maintenance duration and the initial time are sent to a database for storage;
and if the moving amplitude difference value and the reciprocating distance difference value of the detection moment arm are both located at the corresponding range threshold value, judging that the operation of the corresponding detection moment arm is normal, generating a normal operation signal and sending the normal operation signal to the controller.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, screws arranged in the production force arm are collected, the positions of the screws are digitalized, the accuracy of screw monitoring is improved, the management and control efficiency of the production force arm is improved, timely monitoring can also prevent the reduction of the production efficiency caused by the failure of the force arm, the screws are monitored in real time in the operation process of detecting the force arm, the increase of the operation safety risk of the detection force arm caused by the abnormality of the screws in the operation process is prevented, the operation detection and analysis of the detection force arm are carried out, and the reduction of the operation efficiency of the detection force arm caused by the failure of the detection force arm in the operation process is prevented;
the operating efficiency of the detection force arm in the monitoring time is analyzed, the operating efficiency of the detection force arm is judged, and the reduction of the product qualification rate of a production line and the reduction of the working efficiency of the detection force arm caused by the abnormal operation of the detection force arm are prevented.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, a moment arm control management system for non-standard part automatic production comprises a control management platform and an operation analysis platform, wherein a server is arranged in the control management platform, the server is in communication connection with a data initial unit and an abnormality monitoring unit, a controller is arranged in the operation analysis platform, and the controller is in communication connection with an environment analysis unit, an efficiency analysis unit and a database;
control management platform is used for monitoring the screw point position of the production arm of force, the server generates initial data acquisition signal and sends initial data acquisition signal to the initial unit of data, the initial unit of data receives initial acquisition signal after, gather the screw that sets up in the production arm of force, with screw position datamation, thereby the accuracy performance of screw control has been improved, the management and control efficiency of the production arm of force has been improved, in time, monitoring also can prevent that the arm of force trouble leads to production efficiency to reduce, concrete analytic process is as follows:
marking the moment arm put into production as a detection moment arm, acquiring each moment arm surface of the detection moment arm, marking each moment arm surface as i, wherein i is a natural number greater than 1, acquiring screws existing in each moment arm surface, setting a mark o, wherein o is a natural number greater than 1, taking the center of each moment arm surface as a reference point, acquiring the transverse distance and the longitudinal distance between each screw position in the moment arm surface and the corresponding reference point, setting the initial position coordinates of each screw in the moment arm surface according to the transverse distance and the longitudinal distance of each screw, marking the initial position coordinates as (Xio, Yio), and Xio as the transverse distance between the o screw positions in the i moment arm surface of the detection moment arm and the corresponding reference point; the initial position coordinate is sent to a server, the server monitors the initial position coordinate, if the numerical value corresponding to the initial position coordinate floats, the situation that the corresponding screw is loosened is judged, a screw abnormal movement signal is generated, and meanwhile, the corresponding distance numerical value of the screw is adjusted according to the numerical value floating value of the numerical value corresponding to the initial position coordinate; the accuracy of monitoring the position of the screw can be improved, and the working strength of adjustment can be reduced;
analyzing each screw of each force arm surface of the detection force arm, acquiring the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface, and respectively marking the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface as LJKio, LCBio and LWJeo; by the formula
Obtaining operation analysis coefficients Xio of the screws on the detection moment arm, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0; the operational analysis coefficient of the screw is a numerical value for judging the operational strength of the screw by normalizing the parameter of the screw; the larger the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads are, the larger the operation analysis coefficient of the screw is, and the larger the operation strength of the screw is; the operation strength is expressed as the number of dismounting turns of the screw, wherein the diameter width of the nut, the length of the thread on the screw, the length of the corresponding screw and the distance between the thread teeth all represent the data of the number of dismounting turns of the corresponding screw;
comparing the operational analysis coefficient of the screw on the detection arm with an operational analysis coefficient threshold value:
if the operation analysis coefficient of the screw on the detection force arm is larger than or equal to the operation analysis coefficient threshold value, judging that the corresponding screw is a complex screw, and sending the complex screw to a server; if the operation analysis coefficient of the screw on the detection force arm is smaller than the operation analysis coefficient threshold value, judging that the corresponding screw is a simple screw, and sending the simple screw to a server;
after receiving the compact screws and the complex screws, the server binds and stores the nut diameter widths corresponding to the compact screws and the complex screws, the thread lengths on the screws, the corresponding screw lengths and the thread tooth spaces; generate unusual monitor command simultaneously and with unusual monitor command send to unusual monitor unit, unusual monitor unit is used for carrying out real time monitoring to the screw at the detection arm of force operation in-process, prevents that the screw from having unusually in the operation process, leads to detecting the operation safety risk increase of the arm of force, and concrete monitoring process is as follows:
monitoring each screw, taking a plane area of the screw in the stress arm surface as a reference surface, acquiring the distance between the nut of each screw and the corresponding reference surface, and marking the distance between the nut of each screw and the corresponding reference surface as JGo; acquiring the verticality between the screw of each screw and the corresponding reference surface, and marking the verticality between the screw of each screw and the corresponding reference surface as CZo;
comparing the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface with a spacing distance range threshold value and a perpendicularity range threshold value respectively:
if any value of the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface is not within the corresponding range threshold value, judging that the corresponding screw is abnormal, and marking the corresponding screw as an abnormal running screw; if the spacing distance between the screw cap of the screw and the corresponding reference surface and the verticality between the screw rod of the screw and the corresponding reference surface are both located at the corresponding range threshold, judging that the corresponding screw is normal, and marking the corresponding screw as a normal running screw;
sending the abnormal running screws and the normal running screws to a server together;
after receiving the abnormal operation screws, the server analyzes the abnormal operation screws, and if the abnormal operation screws are complex screws, the server judges that the corresponding abnormal operation screws are abnormal in installation; if the running abnormal screw is a simple screw, judging that the specification of the corresponding running abnormal screw is abnormal;
after the server receives the normal screw of operation, generate operation analysis instruction and with operation analysis instruction transmission to operation analysis platform, operation analysis platform receives operation analysis instruction after, to the operation detection analysis that detects the arm of force, prevent to detect the arm of force and break down at the operation in-process, the operating efficiency who leads to detecting the arm of force reduces, the controller generates the environment analysis signal and sends the environment analysis signal to the environment analysis unit, the environment analysis unit is used for carrying out analysis and detection to the operational environment that detects the arm of force, prevent to detect the operation of the peripheral environmental impact arm of force, thereby lead to detecting the arm of force abnormal operation, influence the running life of the arm of force when reducing operating efficiency, concrete environment analysis process is as follows:
monitoring a detection moment arm in operation, setting monitoring time, taking a starting point of the monitoring time as an initial moment of the operation of the detection moment arm, carrying out temperature acquisition on the detection moment arm, and marking the temperature of the detection moment arm acquired in real time as JCW; acquiring temperature values in the environment around the detection moment arm, and marking the temperature values in the environment around the detection moment arm acquired in real time as HWD;
dividing the monitoring time into a plurality of sub-time periods, analyzing the change trend of the environmental temperature in each sub-time period, and if the environmental temperature is in the increasing trend, marking the corresponding sub-time period as a heating time period; if the ambient temperature is in a decreasing trend, marking the corresponding sub-time period as a cooling time period; analyzing the temperature rising time period and the temperature lowering time period, and judging that the environmental temperature has influence if the temperature of the detection moment arm in the temperature rising time period is in a rising trend; if the temperature of the detected force arm is in a descending trend within the cooling time period, judging that the environmental temperature has influence; if the temperature of the detection force arm in the temperature rising time period is in a descending trend or the temperature of the detection force arm in the temperature lowering time period is in an ascending trend, judging that the environmental temperature has no influence;
if the environment temperature has influence, acquiring the floating value and the average floating speed of the environment temperature, and comparing the floating value and the average floating speed of the environment temperature with a floating value threshold value and an average floating speed threshold value respectively: if any value of the floating value of the environment temperature and the average floating speed is larger than the corresponding threshold value, judging that the environment analysis is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to the controller, and after receiving the environment abnormal signal, the controller conducts settlement on the environment around the detected moment arm; if the environmental temperature has no influence, generating a temperature no-influence signal and sending the temperature no-influence signal to the controller;
the controller receives the temperature and does not have the influence signal after, generates efficiency analysis signal and sends efficiency analysis signal to efficiency analysis unit, and efficiency analysis unit is used for carrying out the analysis to the operating efficiency who detects the arm of force in monitoring time to judge the operating efficiency who detects the arm of force, prevent to detect the arm of force operation and have the product percent of pass that leads to the production line unusually to reduce, cause the work efficiency who detects the arm of force to reduce, concrete efficiency analysis process is as follows:
acquiring a moving amplitude difference value and a reciprocating distance difference value of the detection force arm, and comparing the moving amplitude difference value and the reciprocating distance difference value of the detection force arm with a moving amplitude difference value range threshold value and a reciprocating distance difference value range threshold value respectively: if any value of the movement amplitude difference value and the reciprocating distance difference value of the detection force arm is not located in the corresponding range threshold value, judging that the operation of the corresponding detection force arm is abnormal, generating a detection signal of the detection force arm and sending the detection signal of the detection force arm to a mobile phone terminal of a maintainer; after the maintenance personnel finish the maintenance, the maintenance duration and the initial time are sent to a database for storage;
if the moving amplitude difference value and the reciprocating distance difference value of the detection force arm are both located at the corresponding range threshold value, judging that the operation of the corresponding detection force arm is normal, generating a normal operation signal and sending the normal operation signal to the controller; the moving amplitude of the detection force arm is represented as the moving amplitude of the equipment when the detection force arm works, and the reciprocating distance is represented as the actual reciprocating distance of the detection force arm in the running process.
The working principle of the invention is as follows:
a force arm control management system for automatic production of non-standard parts is characterized in that when the system works, a control management platform is used for monitoring screw point positions of a production force arm, a server generates an initial data acquisition signal and sends the initial data acquisition signal to a data initial unit, the data initial unit acquires screws arranged in the production force arm after receiving the initial data acquisition signal, and the screws are monitored in real time in the process of detecting the operation of the force arm through an abnormity monitoring unit; the operation detection analysis of the detection force arm is performed through the operation analysis platform, the controller generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the operation environment of the detection force arm is analyzed and detected through the environment analysis unit; and analyzing the operation efficiency of the detection moment arm in the monitoring time through an efficiency analysis unit.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. A force arm control management system for automatic production of non-standard parts is characterized by comprising a control management platform and an operation analysis platform, wherein a server is arranged in the control management platform, the server is in communication connection with a data initial unit and an abnormality monitoring unit, a controller is arranged in the operation analysis platform, and the controller is in communication connection with an environment analysis unit, an efficiency analysis unit and a database;
monitoring screw point positions of a production force arm through a control management platform, generating an initial data acquisition signal by a server and sending the initial data acquisition signal to a data initial unit, acquiring screws arranged in the production force arm after the initial data acquisition signal is received by the data initial unit, dividing the screws into simple screws and complex screws, sending the simple screws and the complex screws to the server, generating an abnormity monitoring instruction after the server receives the simple screws and the complex screws and sending the abnormity monitoring instruction to an abnormity monitoring unit, and monitoring the screws in real time in the process of detecting the operation of the force arm through the abnormity monitoring unit; dividing the screws into abnormal operation screws and normal operation screws, and sending the abnormal operation screws and the normal operation screws to a server;
the server generates an operation analysis instruction and sends the operation analysis instruction to the operation analysis platform after receiving the operation normal screw, the operation analysis platform detects and analyzes the operation of the detection force arm after receiving the operation analysis instruction, the controller generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, and the environment analysis unit analyzes and detects the operation environment of the detection force arm; and analyzing the operation efficiency of the detection moment arm in the monitoring time through an efficiency analysis unit.
2. The moment arm control management system for non-standard part automatic production according to claim 1, wherein the analysis process of the data initial unit is as follows:
marking the force arm put into production as a detection force arm, acquiring each force arm surface of the detection force arm, marking each force arm surface as i, and i is a natural number more than 1, the screw existing in each force arm surface is collected, a mark o is set, o is a natural number more than 1, the center of each force arm surface is taken as a reference point, the transverse distance and the longitudinal distance between each screw position in the force arm surface and the corresponding reference point are obtained, setting the initial position coordinates of each screw in the force arm surface according to the transverse distance and the longitudinal distance of each screw, and marking the initial position coordinates as (Xio, Yio), sending the initial position coordinates to a server, monitoring the initial position coordinates by the server, if the numerical value corresponding to the initial position coordinates floats, judging that the corresponding screw is loosened, generating a screw abnormal movement signal, and adjusting the corresponding distance value of the screw according to the numerical value floating value of the numerical value corresponding to the initial position coordinate;
analyzing each screw of each force arm surface of the detection force arm, acquiring the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface, and respectively marking the nut diameter width, the length of the threads on the screw, the length of the corresponding screw and the tooth space of the threads of each force arm surface as LJKio, LCBio and LWJeo; obtaining an operation analysis coefficient Xio of the screw on the detection moment arm through analysis; comparing the operational analysis coefficient of the screw on the detection arm with an operational analysis coefficient threshold value:
if the operation analysis coefficient of the screw on the detection force arm is larger than or equal to the operation analysis coefficient threshold value, judging that the corresponding screw is a complex screw, and sending the complex screw to a server; and if the operation analysis coefficient of the screw on the detection force arm is less than the operation analysis coefficient threshold value, judging that the corresponding screw is a simple screw, and sending the simple screw to the server.
3. The moment arm control and management system for non-standard part automatic production according to claim 1, wherein the monitoring process of the abnormity monitoring unit is as follows:
monitoring each screw, taking a plane area of the screw in the stress arm surface as a reference surface, acquiring the distance between the nut of each screw and the corresponding reference surface, and marking the distance between the nut of each screw and the corresponding reference surface as JGo; acquiring the verticality between the screw of each screw and the corresponding reference surface, and marking the verticality between the screw of each screw and the corresponding reference surface as CZo;
comparing the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface with a spacing distance range threshold value and a perpendicularity range threshold value respectively:
if any value of the spacing distance between the screw cap of the screw and the corresponding reference surface and the perpendicularity between the screw rod of the screw and the corresponding reference surface is not within the corresponding range threshold value, judging that the corresponding screw is abnormal, and marking the corresponding screw as an abnormal running screw; if the spacing distance between the screw cap of the screw and the corresponding reference surface and the verticality between the screw rod of the screw and the corresponding reference surface are both located at the corresponding range threshold, judging that the corresponding screw is normal, and marking the corresponding screw as a normal running screw;
and sending the abnormal running screws and the normal running screws to a server together.
4. The moment arm control management system for non-standard part automatic production according to claim 1, wherein the environment analysis process of the environment analysis unit is as follows:
monitoring a detection moment arm in operation, setting monitoring time, taking a starting point of the monitoring time as an initial moment of the operation of the detection moment arm, carrying out temperature acquisition on the detection moment arm, and marking the temperature of the detection moment arm acquired in real time as JCW; acquiring temperature values in the environment around the detection moment arm, and marking the temperature values in the environment around the detection moment arm acquired in real time as HWD;
dividing the monitoring time into a plurality of sub-time periods, analyzing the change trend of the environmental temperature in each sub-time period, and if the environmental temperature is in the increasing trend, marking the corresponding sub-time period as a heating time period; if the ambient temperature is in a decreasing trend, marking the corresponding sub-time period as a cooling time period; analyzing the temperature rising time period and the temperature lowering time period, and judging that the environmental temperature has influence if the temperature of the detection moment arm in the temperature rising time period is in a rising trend; if the temperature of the detected force arm is in a descending trend within the cooling time period, judging that the environmental temperature has influence; if the temperature of the detection force arm in the temperature rising time period is in a descending trend or the temperature of the detection force arm in the temperature lowering time period is in an ascending trend, judging that the environmental temperature has no influence;
if the environment temperature has influence, acquiring the floating value and the average floating speed of the environment temperature, and comparing the floating value and the average floating speed of the environment temperature with a floating value threshold value and an average floating speed threshold value respectively: if any value of the floating value of the environment temperature and the average floating speed is larger than the corresponding threshold value, judging that the environment analysis is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to the controller, and after receiving the environment abnormal signal, the controller conducts settlement on the environment around the detected moment arm; and if the environmental temperature has no influence, generating a temperature no-influence signal and sending the temperature no-influence signal to the controller.
5. The moment arm control management system for non-standard part automatic production according to claim 1, wherein the efficiency analysis process of the efficiency analysis unit is as follows:
acquiring a moving amplitude difference value and a reciprocating distance difference value of the detection force arm, and comparing the moving amplitude difference value and the reciprocating distance difference value of the detection force arm with a moving amplitude difference value range threshold value and a reciprocating distance difference value range threshold value respectively: if any value of the movement amplitude difference value and the reciprocating distance difference value of the detection force arm is not located in the corresponding range threshold value, judging that the operation of the corresponding detection force arm is abnormal, generating a detection signal of the detection force arm and sending the detection signal of the detection force arm to a mobile phone terminal of a maintainer; after the maintenance personnel finish the maintenance, the maintenance duration and the initial time are sent to a database for storage;
and if the moving amplitude difference value and the reciprocating distance difference value of the detection moment arm are both located at the corresponding range threshold value, judging that the operation of the corresponding detection moment arm is normal, generating a normal operation signal and sending the normal operation signal to the controller.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115008397A (en) * | 2022-08-08 | 2022-09-06 | 百信信息技术有限公司 | Electric screwdriver with torque force identification function and checking system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104180983A (en) * | 2014-09-02 | 2014-12-03 | 苏州市计量测试研究所 | Mechanical vibrator fastener monitoring system and monitoring method of mechanical vibrator fastener monitoring system |
| CN106323154A (en) * | 2016-08-12 | 2017-01-11 | 安徽容知日新科技股份有限公司 | Device and system for monitoring loosening of fastening part |
| CN110991828A (en) * | 2019-11-19 | 2020-04-10 | 东北大学 | Steel rail fastener state detection method based on information entropy theory |
| CN112783130A (en) * | 2021-01-04 | 2021-05-11 | 盐城市华研复合材料有限公司 | Quality control system is used in production of composite insulation goods |
| CN113447837A (en) * | 2021-09-01 | 2021-09-28 | 深圳联钜自控科技有限公司 | Temperature measurement and control system for high-temperature formation process of soft package lithium battery |
-
2021
- 2021-10-09 CN CN202111178084.4A patent/CN113885386B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104180983A (en) * | 2014-09-02 | 2014-12-03 | 苏州市计量测试研究所 | Mechanical vibrator fastener monitoring system and monitoring method of mechanical vibrator fastener monitoring system |
| CN106323154A (en) * | 2016-08-12 | 2017-01-11 | 安徽容知日新科技股份有限公司 | Device and system for monitoring loosening of fastening part |
| CN110991828A (en) * | 2019-11-19 | 2020-04-10 | 东北大学 | Steel rail fastener state detection method based on information entropy theory |
| CN112783130A (en) * | 2021-01-04 | 2021-05-11 | 盐城市华研复合材料有限公司 | Quality control system is used in production of composite insulation goods |
| CN113447837A (en) * | 2021-09-01 | 2021-09-28 | 深圳联钜自控科技有限公司 | Temperature measurement and control system for high-temperature formation process of soft package lithium battery |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115008397A (en) * | 2022-08-08 | 2022-09-06 | 百信信息技术有限公司 | Electric screwdriver with torque force identification function and checking system |
| CN115008397B (en) * | 2022-08-08 | 2022-10-25 | 百信信息技术有限公司 | Electric screwdriver with torque force identification function and checking system |
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