Automatic operation robot operation supervision system suitable for display equipment production

Abstract

The invention relates to the field of automatic operation robots, is used for solving the problem that the operation precision and the operation efficiency of a robot are reduced due to the lack of an effective supervision system for the automatic operation robot of display equipment, and particularly relates to an automatic operation robot operation supervision system suitable for display equipment production. According to the method and the system, judgment and analysis are realized through whether a single item is overrun or not and whether multiple items are integrated to be overrun or not, so that the supervision comprehensiveness of the operation data of the automatic operation robot is improved, and the operation data detection result and the operation result data monitoring result of the automatic operation robot are compared and analyzed; whether the operation abnormity and the operation result abnormity of the automatic operation robot are matched or not is judged according to the comparison result, so that the two-way accuracy of operation abnormity and operation result abnormity monitoring is verified, and a more comprehensive supervision effect is provided; the operation data of the automatic operation robot and the operation result data can realize the supervision of the operation of the automatic operation robot in two aspects at the same time.

Description

Technical Field

[0001] The present invention relates to the field of automatic operation robots, and in particular to an automatic operation robot operation supervision system suitable for display device production. Background Art

[0002] With the continuous development of science and technology, display devices have been widely used in life; display devices are mainly composed of a control panel and a screen, and the control panel is mainly composed of a shell and a circuit board; at present, the display device production line of the prior art usually involves important production steps such as control panel dispensing, control panel and screen pressing assembly, and finished product film pasting; the location distribution of various production and processing devices on the display device production line is relatively complex, which affects the production quality and production efficiency of touch display devices. Therefore, many manufacturers currently use more accurate and intelligent automatic operation robots to meet the needs of high precision and high efficiency in production operations;

[0003] At present, there are still some deficiencies in the automatic operation robots in the prior art. The existing automatic operation robots lack an effective operation supervision system, which leads to aging of the robots during long-term use, resulting in a decrease in the operation accuracy and efficiency of the automatic operation robots, which is not conducive to the automatic operation production of display devices.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] In the present invention, judgment and analysis are implemented through whether a single project exceeds the limit or not and whether multiple projects are combined and whether they exceed the limit or not, thereby improving the comprehensiveness of supervision on the operation data of the automatic operation robot itself, and comparing and analyzing the operation data detection results and the operation result data monitoring results of the automatic operation robot. According to the comparison results, it is judged whether the operation anomaly of the automatic operation robot and the operation result anomaly match, thereby verifying the two-way accuracy of the operation anomaly and operation result anomaly monitoring, and providing a more comprehensive supervision effect for the production of display equipment. The operation data and the operation result data of the automatic operation robot can realize two-sided supervision of the operation of the automatic operation robot at the same time, thereby solving the problem that the automatic operation robot of the display equipment lacks an effective supervision system, resulting in a decrease in the robot's operation accuracy and efficiency, and an automatic operation robot operation supervision system suitable for the production of display equipment is proposed.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] An automatic operation robot operation supervision system applicable to display device production includes an axial statistics unit, an operation abnormality monitoring unit, a precision self-checking unit, an operation and maintenance alarm unit, and an execution fault monitoring unit. The precision self-checking unit can collect the operation status of the automatic operation robot and generate an operation deviation or operation fault according to the collection result;

[0008] The axial statistical unit acquires the operation deviation or operation fault, generates a time axis series according to the acquired operation deviation or operation fault, and sends the time axis series to the operation abnormality monitoring unit;

[0009] The operation abnormality monitoring unit can analyze the time axis series, generate the operation deviation frequency and the operation failure frequency, and send the operation deviation frequency and the operation failure frequency to the operation and maintenance alarm unit;

[0010] The execution fault monitoring unit can detect the operation results of the automatic operation robot, generate operation deviation or operation failure according to the detection result, and generate operation deviation frequency or operation failure frequency according to the operation deviation or operation failure;

[0011] The operation and maintenance alarm unit compares the operation deviation with the operation deviation, compares the operation failure with the operation failure, and outputs the operation deviation or the operation failure according to the comparison result.

[0012] As a preferred embodiment of the present invention, the method for the accuracy self-checking unit to obtain the operation deviation or operation failure is:

[0013] Step 1: Detect the automatic operation robot and obtain the operating status of the automatic operation robot. The operating status includes operating power consumption, operating efficiency and operating accuracy. The operating power consumption is the average power consumption of the automatic operation robot in a preset time period. The operating efficiency is the time required for the automatic operation robot to generate an action execution instruction and complete the action execution instruction. The operating accuracy is the terminal deviation distance of the automatic operation robot when executing the action execution instruction.

[0014] Step 2: The precision self-checking unit compares the operation precision with the preset upper limit of the deviation. If the operation precision is greater than the preset upper limit of the deviation, an operation fault is generated; the precision self-checking unit compares the operation efficiency with the time threshold of the corresponding instruction. If the operation efficiency is greater than the time threshold of the corresponding instruction, an operation fault is generated; the precision self-checking unit compares the operation power consumption with the corresponding power consumption threshold. If the power consumption threshold is greater than the corresponding power consumption threshold, an operation fault is generated;

[0015] Step 3: The precision self-checking unit calculates the difference between the operation precision and the preset upper limit of the deviation to obtain the precision deviation A. The precision self-checking unit calculates the difference between the operation efficiency and the time threshold of the corresponding instruction to obtain the efficiency deviation B. The precision self-checking unit calculates the difference between the operation power consumption and the corresponding power consumption threshold to obtain the power consumption deviation C. The precision self-checking unit generates an operation deviation value P through formula analysis, P=aA+bB+cC, where a, b, and c are preset weight coefficients, and the formulas are all dimensionless calculations. The precision self-checking unit compares the operation deviation value with the preset deviation threshold range. If the operation deviation value is greater than the maximum value in the preset deviation threshold range, an operation fault is generated. If the operation deviation value is within the preset deviation threshold range, an operation deviation is generated. If the operation deviation value is less than the minimum value of the preset deviation threshold range, no response is made.

[0016] Step 4: The precision self-check unit sends the generated operation deviation or operation fault to the axial statistics unit.

[0017] As a preferred embodiment of the present invention, the method for the axial statistical unit to generate a time axis series according to the operation deviation or operation failure is:

[0018] The axial statistical unit selects a time starting point, draws a time axis from the time starting point, draws a deviation axis in a direction perpendicular to the time axis, searches for corresponding coordinates on the time axis according to the time when the operation deviation or operation failure occurs, and records the operation deviation or operation failure on the time axis.

[0019] As a preferred embodiment of the present invention, after obtaining the time axis, the operation abnormality monitoring unit calculates the time interval between two adjacent groups of operation failures, averages all time intervals, and records the average interval between the occurrence of operation failures as the failure frequency. The operation abnormality monitoring unit calculates the time interval between two adjacent groups of operation deviations, averages all time intervals, and obtains the deviation frequency. The operation abnormality monitoring unit sends the failure frequency and the deviation frequency to the operation and maintenance alarm unit.

[0020] As a preferred embodiment of the present invention, the execution fault monitoring unit divides the completion status of the operation results into operation failure, operation deviation and operation completion. The execution fault monitoring unit uses the completion speed and completion quality of the operation results as the detection standard. If the completion speed and completion quality meet the detection standard, it is recorded as the completion of the operation. If the completion speed and completion quality do not meet the detection standard but the difference with the detection standard is within the allowable range, it is recorded as the operation deviation. If the completion speed and completion quality do not meet the detection standard and the difference with the detection standard is outside the allowable range, it is recorded as the failure of the operation.

[0021] The execution fault monitoring unit draws another set of timelines, and records the job failures and job deviations on the timelines according to the time of occurrence of the job failures and job deviations. The execution fault monitoring unit calculates the occurrence intervals of the job failures on the timelines, and averages the occurrence intervals to obtain the job failure frequency. The execution fault monitoring unit calculates the occurrence intervals of the job deviations on the timelines, and averages the occurrence intervals to obtain the job deviation frequency. The execution fault monitoring unit sends the job deviation frequency and the job failure frequency to the operation and maintenance alarm unit.

[0022] As a preferred embodiment of the present invention, the operation and maintenance alarm unit compares the operation deviation frequency with the operation deviation frequency, and if the difference between the operation deviation frequency and the operation deviation frequency is within the allowable range, the operation deviation frequency and the operation deviation frequency are output; if the difference between the operation deviation frequency and the operation deviation frequency is not within the allowable range, a deviation abnormality signal is generated and the deviation abnormality signal is output;

[0023] The operation and maintenance alarm unit calculates the difference between the operation failure frequency and the operation failure frequency, and compares the difference calculation result with the error range. If the difference between the operation failure frequency and the operation failure frequency is within the allowable range, the operation failure frequency and the operation failure frequency are output; if the difference between the operation failure frequency and the operation failure frequency is not within the allowable range, a fault abnormality signal is generated and the fault abnormality signal is output;

[0024] The operation and maintenance alarm unit determines the operation failure frequency. If the operation failure frequency is higher than a preset frequency value, an equipment abnormality alarm is generated and the operation of the automatic operation robot is stopped.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. In the present invention, when the operation of the automatic working robot is supervised, the operation data and work result data of the automatic working robot are collected, so as to simultaneously analyze the working robot itself and the work result, so as to supervise the operation of the automatic working robot from two aspects at the same time, thereby ensuring the operation stability of the automatic working robot.

[0027] 2. In the present invention, when supervising the operation data of the automatic operation robot, judgment and analysis are carried out through whether a single item exceeds the limit or not and whether multiple items exceed the limit or not, thereby improving the comprehensiveness of the supervision of the operation data of the automatic operation robot itself.

[0028] 3. In the present invention, a comparative analysis is performed on the operation data detection results and the operation result data monitoring results of the automatic operation robot, and whether the operation anomaly and the operation result anomaly of the automatic operation robot match is determined based on the comparison results, thereby verifying the two-way accuracy of the operation anomaly and operation result anomaly monitoring, and providing a more comprehensive supervision effect for the production of display equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0030] Figure 1 is a system block diagram of the present invention;

[0031] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1:

[0034] See also Figure 1 - Figure 2 As shown, the automatic operation robot operation supervision system suitable for display equipment production includes an axial statistical unit, an operation abnormality monitoring unit, a precision self-checking unit, an operation and maintenance alarm unit, and an execution fault monitoring unit. The precision self-checking unit collects the operation status of the automatic operation robot, obtains the operation deviation or operation fault of the automatic operation robot, and sends the operation deviation or operation fault to the axial statistical unit. The axial statistical unit axially records the time when the operation deviation or operation fault occurs. The axial recording method is:

[0035] The axial statistical unit selects a time starting point, draws a time axis from the time starting point, draws a deviation axis in a direction perpendicular to the time axis, finds corresponding coordinates on the time axis according to the time when the operation deviation or operation failure occurs, and records the operation deviation or operation failure on the time axis, where the height of the operation failure on the deviation axis is higher than the operation deviation. The axial statistical unit sends the time axis to the operation abnormality monitoring unit.

[0036] The method for the precision self-check unit to obtain operation deviation or operation failure is:

[0037] Step 1: Detect the automatic operation robot and obtain the operating status of the automatic operation robot. The operating status includes operating power consumption, operating efficiency and operating accuracy. The operating power consumption is the average power consumption of the automatic operation robot in a preset time period. The operating efficiency is the time required for the automatic operation robot to generate an action execution instruction and complete the action execution instruction. The operating accuracy is the terminal deviation distance of the automatic operation robot when executing the action execution instruction.

[0038] Step 2: The precision self-checking unit compares the operation precision with the preset upper limit of the deviation. If the operation precision is greater than the preset upper limit of the deviation, an operation fault is generated; the precision self-checking unit compares the operation efficiency with the time threshold of the corresponding instruction. If the operation efficiency is greater than the time threshold of the corresponding instruction, an operation fault is generated; the precision self-checking unit compares the operation power consumption with the corresponding power consumption threshold. If the power consumption threshold is greater than the corresponding power consumption threshold, an operation fault is generated;

[0039] Step 3: The precision self-checking unit calculates the difference between the operation precision and the preset upper limit of the deviation to obtain the precision deviation A. The precision self-checking unit calculates the difference between the operation efficiency and the time threshold of the corresponding instruction to obtain the efficiency deviation B. The precision self-checking unit calculates the difference between the operation power consumption and the corresponding power consumption threshold to obtain the power consumption deviation C. The precision self-checking unit generates an operation deviation value P through formula analysis, P=aA+bB+cC, where a, b, and c are preset weight coefficients, and the formulas are all dimensionless calculations. The precision self-checking unit compares the operation deviation value with the preset deviation threshold range. If the operation deviation value is greater than the maximum value in the preset deviation threshold range, an operation fault is generated. If the operation deviation value is within the preset deviation threshold range, an operation deviation is generated. If the operation deviation value is less than the minimum value of the preset deviation threshold range, no response is made.

[0040] Step 4: The precision self-check unit sends the generated operation deviation or operation fault to the axial statistics unit.

[0041] Embodiment 2:

[0042] See also Figure 1 - Figure 2 As shown, after the operation abnormality monitoring unit obtains the time axis, it calculates the time interval between two adjacent groups of operation faults, averages all time intervals, and records the average interval of the operation faults as the fault frequency. The operation abnormality monitoring unit calculates the time interval between two adjacent groups of operation deviations, and averages all time intervals to obtain the deviation frequency.

[0043] The operation abnormality monitoring unit sends the fault frequency and deviation frequency to the operation and maintenance alarm unit.

[0044] Embodiment three:

[0045] See also Figure 1 - Figure 2 As shown,

[0046] The execution fault monitoring unit detects the work results of the automatic operation robot and obtains the completion status of the work results of the automatic operation robot. The completion status of the work results is divided into work failure, work deviation and work completion. When the execution fault monitoring unit detects the work results, the completion speed and completion quality of the work results are used as the detection standards. If the completion speed and completion quality meet the detection standards, it is recorded as the completion of the work. If the completion speed and completion quality do not meet the detection standards but the difference with the detection standards is within the allowable range, it is recorded as the deviation of the work. If the completion speed and completion quality do not meet the detection standards and the difference with the detection standards is outside the allowable range, it is recorded as the failure of the work.

[0047] The execution fault monitoring unit draws another set of timelines, and records the job failures and job deviations on the timelines according to the time of occurrence of the job failures and job deviations. The execution fault monitoring unit calculates the occurrence intervals of the job failures on the timelines, and averages the occurrence intervals to obtain the job failure frequency. The execution fault monitoring unit calculates the occurrence intervals of the job deviations on the timelines, and averages the occurrence intervals to obtain the job deviation frequency. The execution fault monitoring unit sends the job deviation frequency and the job failure frequency to the operation and maintenance alarm unit.

[0048] The operation and maintenance alarm unit calculates the difference between the operation deviation frequency and the operation deviation frequency, and compares the difference calculation result with the error range. If the difference between the operation deviation frequency and the operation deviation frequency is within the allowable range, the operation deviation frequency and the operation deviation frequency are output; if the difference between the operation deviation frequency and the operation deviation frequency is not within the allowable range, a deviation abnormality signal is generated, the deviation abnormality signal is output, and an audible and visual alarm reminder is generated at the same time;

[0049] The operation and maintenance alarm unit calculates the difference between the job failure frequency and the operation failure frequency, and compares the difference calculation result with the error range. If the difference between the job failure frequency and the operation failure frequency is within the allowable range, the job failure frequency and the operation failure frequency are output; if the difference between the job failure frequency and the operation failure frequency is not within the allowable range, a fault abnormality signal is generated, the fault abnormality signal is output, and an alarm reminder is generated at the same time;

[0050] The operation and maintenance alarm unit determines the operating failure frequency. If the operating failure frequency is higher than the preset frequency value, an equipment abnormality alarm is generated, and the management personnel are reminded to check through sound and light alarms, and the operation of the automatic operation robot is stopped at the same time.

[0051] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An automatic operation robot operation supervision system suitable for display equipment production, characterized in that: It includes an axial statistics unit, an operation abnormality monitoring unit, a precision self-checking unit, an operation and maintenance alarm unit, and an execution fault monitoring unit. The precision self-checking unit can collect the operation status of the automatic operation robot and generate operation deviations or operation faults according to the collection results; The axial statistical unit acquires the operation deviation or operation fault, generates a time axis series according to the acquired operation deviation or operation fault, and sends the time axis series to the operation abnormality monitoring unit; The operation abnormality monitoring unit can analyze the time axis series, generate the operation deviation frequency and the operation failure frequency, and send the operation deviation frequency and the operation failure frequency to the operation and maintenance alarm unit; The execution fault monitoring unit can detect the operation results of the automatic operation robot, generate operation deviation or operation failure according to the detection result, and generate operation deviation frequency or operation failure frequency according to the operation deviation or operation failure; The operation and maintenance alarm unit compares the operation deviation with the operation deviation, compares the operation failure with the operation failure, and outputs the operation deviation or the operation failure according to the comparison result.

2. The automatic operation robot operation monitoring system suitable for display device production according to claim 1 is characterized in that: The method for the precision self-checking unit to obtain the operation deviation or operation failure is: Step 1: Detect the automatic operation robot and obtain the operating status of the automatic operation robot. The operating status includes operating power consumption, operating efficiency and operating accuracy. The operating power consumption is the average power consumption of the automatic operation robot in a preset time period. The operating efficiency is the time required for the automatic operation robot to generate an action execution instruction and complete the action execution instruction. The operating accuracy is the terminal deviation distance of the automatic operation robot when executing the action execution instruction. Step 2: The precision self-checking unit compares the operation precision with the preset upper limit of the deviation. If the operation precision is greater than the preset upper limit of the deviation, an operation fault is generated; the precision self-checking unit compares the operation efficiency with the time threshold of the corresponding instruction. If the operation efficiency is greater than the time threshold of the corresponding instruction, an operation fault is generated; the precision self-checking unit compares the operation power consumption with the corresponding power consumption threshold. If the power consumption threshold is greater than the corresponding power consumption threshold, an operation fault is generated; Step 3: The precision self-checking unit calculates the difference between the operation precision and the preset upper limit of the deviation to obtain the precision deviation A. The precision self-checking unit calculates the difference between the operation efficiency and the time threshold of the corresponding instruction to obtain the efficiency deviation B. The precision self-checking unit calculates the difference between the operation power consumption and the corresponding power consumption threshold to obtain the power consumption deviation C. The precision self-checking unit generates an operation deviation value P through formula analysis, P=aA+bB+cC, where a, b, and c are preset weight coefficients, and the formulas are all dimensionless calculations. The precision self-checking unit compares the operation deviation value with the preset deviation threshold range. If the operation deviation value is greater than the maximum value in the preset deviation threshold range, an operation fault is generated. If the operation deviation value is within the preset deviation threshold range, an operation deviation is generated. If the operation deviation value is less than the minimum value of the preset deviation threshold range, no response is made. Step 4: The precision self-check unit sends the generated operation deviation or operation fault to the axial statistics unit.

3. The automatic operation robot operation monitoring system suitable for display device production according to claim 1 is characterized in that: The method for the axial statistical unit to generate a time axis series according to the operation deviation or operation failure is: The axial statistical unit selects a time starting point, draws a time axis from the time starting point, draws a deviation axis in a direction perpendicular to the time axis, searches for corresponding coordinates on the time axis according to the time when the operation deviation or operation failure occurs, and records the operation deviation or operation failure on the time axis.

4. The automatic operation robot operation monitoring system suitable for display device production according to claim 1 is characterized in that: After obtaining the time axis, the operation abnormality monitoring unit calculates the time interval between two adjacent groups of operation failures, averages all time intervals, and records the average interval between the occurrence of operation failures as the failure frequency. The operation abnormality monitoring unit calculates the time interval between two adjacent groups of operation deviations, averages all time intervals, and obtains the deviation frequency. The operation abnormality monitoring unit sends the failure frequency and the deviation frequency to the operation and maintenance alarm unit.

5. The automatic operation robot operation monitoring system suitable for display device production according to claim 1 is characterized in that: The execution fault monitoring unit divides the completion of the operation results into operation failure, operation deviation and operation completion. The execution fault monitoring unit uses the completion speed and completion quality of the operation results as the detection standard. If the completion speed and completion quality meet the detection standard, it is recorded as the completion of the operation. If the completion speed and completion quality do not meet the detection standard but the difference with the detection standard is within the allowable range, it is recorded as the operation deviation. If the completion speed and completion quality do not meet the detection standard and the difference with the detection standard is outside the allowable range, it is recorded as the failure of the operation. The execution fault monitoring unit draws another set of timelines, and records the job failures and job deviations on the timelines according to the time of occurrence of the job failures and job deviations. The execution fault monitoring unit calculates the occurrence intervals of the job failures on the timelines, and averages the occurrence intervals to obtain the job failure frequency. The execution fault monitoring unit calculates the occurrence intervals of the job deviations on the timelines, and averages the occurrence intervals to obtain the job deviation frequency. The execution fault monitoring unit sends the job deviation frequency and the job failure frequency to the operation and maintenance alarm unit.

6. The automatic operation robot operation monitoring system suitable for display device production according to claim 1 is characterized in that: The operation and maintenance alarm unit compares the operation deviation frequency with the operation deviation frequency, and if the difference between the operation deviation frequency and the operation deviation frequency is within the allowable range, the operation deviation frequency and the operation deviation frequency are output; if the difference between the operation deviation frequency and the operation deviation frequency is not within the allowable range, a deviation abnormality signal is generated and output; The operation and maintenance alarm unit calculates the difference between the operation failure frequency and the operation failure frequency, and compares the difference calculation result with the error range. If the difference between the operation failure frequency and the operation failure frequency is within the allowable range, the operation failure frequency and the operation failure frequency are output; if the difference between the operation failure frequency and the operation failure frequency is not within the allowable range, a fault abnormality signal is generated and the fault abnormality signal is output; The operation and maintenance alarm unit determines the operation failure frequency. If the operation failure frequency is higher than a preset frequency value, an equipment abnormality alarm is generated and the operation of the automatic operation robot is stopped.

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