CN111582752A - Quality detection method and device for machine tool equipment and detection data acquisition method and device - Google Patents
Quality detection method and device for machine tool equipment and detection data acquisition method and device Download PDFInfo
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Abstract
The invention provides a quality detection method and device of machine tool equipment, and a detection data acquisition method and device. The quality detection method is executed by a server, and comprises the following steps: acquiring a preset detection item and a preset scoring mechanism of machine tool equipment to be detected; receiving machine tool detection data collected by machine tool detection equipment; and calculating the machine tool detection data of each preset detection item by using the preset scoring mechanism to generate a score for evaluating the quality condition of the machine tool equipment. According to the invention, the machine tool equipment is formulated through a specific detection program to complete related actions, and the data index capable of reflecting the machine tool performance is analyzed through the detection item and the evaluation system customized by the user, so that the machine tool performance is flexibly calibrated, and the health state of the machine tool equipment is conveniently evaluated.
Description
Technical Field
The invention relates to the technical field of machine tools, in particular to a quality detection method and device and a detection data acquisition method and device of machine tool equipment.
Background
For machine tool equipment manufacturing enterprises, the quality inspection link is usually the last process before enterprise equipment leaves a factory, and is also the most important link for inspecting the quality of the equipment, and the enterprises can form good industry praise only by ensuring that each produced machine tool can operate with high quality and high stability, and the quality inspection link is also the foundation for the survival of the enterprises. Therefore, the quality of the new machine tool needs to be checked before the machine tool is shipped, so that the machine tool can be guaranteed to reach the technical index and the expected quality and efficiency at the beginning of installation.
At present, the detection method of the traditional machine tool equipment has the following defects:
1. the traditional quality inspection is mainly to judge the stability of equipment and search problem parts by manually observing the long-time running of the equipment. This approach often only allows the cause of the problem to be inferred from the problem representation and does not allow flexibility in finding the problem from the granularity of the internal operating index.
2. The traditional quality inspection usually only records the detection result, and the detection data in the detection process is lack of records.
3. The detection precision, the detection standard and the detection efficiency of the traditional quality inspection are different due to the difference of quality inspection personnel, and the standard can not be unified.
4. After the equipment leaves a factory, equipment manufacturing enterprises lack continuous tracking data of the running state and the equipment information of the equipment and cannot provide data basis for subsequent improved production processes and optimized suppliers.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a quality detection method and apparatus, a detection data acquisition method and apparatus for a machine tool apparatus, which are used to solve the above shortcomings in the prior art.
In order to achieve the above and other related objects, the present invention provides a quality detection method for a machine tool device, applied to a server, the method including: acquiring a preset detection item and a preset scoring mechanism of machine tool equipment to be detected; receiving machine tool detection data collected by machine tool detection equipment; and calculating the machine tool detection data of each preset detection item by using the preset scoring mechanism to generate a score for evaluating the quality condition of the machine tool equipment.
In an embodiment of the present invention, before obtaining the preset detection item and the preset scoring mechanism of the machine tool device to be detected, the method further includes: acquiring a machine tool detection application; determining corresponding target acquisition parameters according to the machine tool model information in the machine tool detection application; and providing the target acquisition parameters to machine tool detection equipment so that the machine tool detection equipment can extract target machine tool detection data from machine tool operation data.
In an embodiment of the present invention, the method further includes: recording the part information of the qualified machine tool equipment; and, the updated data of each machine tool device after shipment is recorded.
In an embodiment of the present invention, the method further includes: generating a detection report of the machine tool equipment; wherein, the content of the detection report comprises the grade of the machine tool equipment and a waveform chart which can represent the fault reason.
In order to achieve the above and other related objects, the present invention provides a method for acquiring detection data of a machine tool device, applied to a machine tool detection device, the method including: setting a preset detection item and a preset scoring mechanism of the machine tool equipment, and providing the preset detection item and the preset scoring mechanism to a server; receiving target acquisition parameters sent by the server; acquiring operation data generated by the operation of the machine tool equipment according to a preset detection program; and extracting target machine tool detection data from the operating data according to the target acquisition parameters, and providing the target machine tool detection data to the server.
In order to achieve the above objects and other related objects, the present invention provides a quality detection apparatus for machine tool equipment, which is applied to a server; the device comprises: the information acquisition module is used for acquiring preset detection items and a preset scoring mechanism of the machine tool equipment to be detected; the data acquisition module is used for receiving machine tool detection data acquired by the machine tool detection equipment; and the score calculating module is used for calculating the machine tool detection data of each preset detection item by using the preset score mechanism so as to generate a score for evaluating the quality condition of the machine tool equipment.
In order to achieve the above and other related objects, the present invention provides an apparatus for acquiring detection data of a machine tool device, applied to a machine tool detection device, the apparatus including: the self-defining module is used for setting a preset detection item and a preset scoring mechanism of the machine tool equipment and providing the preset detection item and the preset scoring mechanism to the server; the parameter receiving module is used for receiving the target acquisition parameters sent by the server; the data acquisition module is used for acquiring operation data generated by the operation of the machine tool equipment according to a preset detection program; and the data extraction module is used for extracting target machine tool detection data from the operating data according to the target acquisition parameters and providing the target machine tool detection data to the server.
In order to achieve the above objects and other related objects, the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when being loaded and executed by a processor, implements the quality detection method of the machine tool device or implements the acquisition method of the detection data of the machine tool device.
To achieve the above and other related objects, the present invention provides an electronic device, comprising: a processor and a memory; wherein the memory is for storing a computer program; the processor is used for loading and executing the computer program to enable the electronic equipment to realize the quality detection method of the machine tool equipment or realize the acquisition method of the detection data of the machine tool equipment.
As described above, the quality detection method and apparatus, and the detection data acquisition method and apparatus for machine tool equipment according to the present invention have the following advantageous effects: the machine tool equipment is formulated through a specific detection program to complete related actions, and data indexes capable of reflecting the machine tool performance are analyzed through a user-defined detection item and an evaluation system, so that the machine tool performance is flexibly calibrated, and the health state of the machine tool equipment is conveniently evaluated.
Drawings
Fig. 1 is a schematic view of an application scenario of a quality detection method for a machine tool device according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a machine tool inspection apparatus and a machine tool apparatus to be inspected according to an embodiment of the present invention.
Fig. 3 is a schematic operation flow chart of quality inspection of a machine tool according to an embodiment of the present invention.
Fig. 4 is a diagram illustrating the effect of a digitized report of quality inspection of machine tool equipment in an embodiment of the invention.
Fig. 5A is a schematic diagram illustrating fault recognition for quality inspection of machine tools according to an embodiment of the present invention.
Fig. 5B shows a fault waveform diagram of quality detection of a machine tool apparatus according to an embodiment of the present invention.
Fig. 5C is a normal waveform diagram showing quality inspection of the machine tool apparatus in the embodiment of fig. 5B.
Fig. 6 is a diagram illustrating an interactive interface of recording device component information according to an embodiment of the present invention.
Fig. 7 is a block diagram schematically illustrating a quality inspection apparatus for a machine tool according to an embodiment of the present invention.
Fig. 8 is a block diagram of an apparatus for acquiring inspection data of a machine tool device according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, the present application provides a flexible machine tool equipment inspection scheme. The machine tool equipment to be detected operates according to a detection program defined by a user, and generated operation data are sent to the machine tool detection equipment by the machine head of the machine tool equipment. And the machine tool detection equipment extracts preset relevant data which can be used for evaluating the performance of the machine tool from the operation data and sends the relevant data to the server. In addition, the user can also customize the detection items and the scoring mechanism through machine tool detection equipment. And the server side analyzes the data provided by the machine tool detection equipment and the user-defined content to obtain the quality detection score of the machine tool equipment.
The method and the device have the advantages that the process of observing the running state of the machine tool by an expert and the experience data are converted, the verification process is formulated, the data are extracted and analyzed by the algorithm, the machine tool detection result is generated through the data and the algorithm, the machine tool detection result is preferably displayed in a digital report mode, and the machine tool state can be conveniently evaluated by a machine tool manufacturer in real time.
Fig. 2 shows a specific application scenario of the machine tool equipment detection method of the present application. In the application scene, the machine head and the electric cabinet of the machine tool equipment to be detected are in communication connection with the machine tool detection equipment. The machine tool inspection apparatus will be described in detail below.
The industrial computer is the main hardware that inspection personnel operated the lathe check out test set, and the industrial computer is as the core of lathe check out test set, and user's accessible industrial computer sets up the detection item of predetermineeing of lathe equipment and predetermines the mechanism of grading, provides to the server through the router, and the user can also inquire the relevant information of server through the industrial computer to look over through the display screen. The edge computing device is an industrial intelligent gateway product and is responsible for collecting relevant data of device detection. The router is used for data transmission between the industrial personal computer and the edge computing equipment, connection between the edge computing equipment and the industrial personal computer, and interaction between the router and a cloud service can be achieved by connecting a network in a workshop. The edge computing equipment is responsible for receiving target acquisition parameters sent by a server, acquiring running data generated by the machine tool equipment running according to a preset detection program, extracting target machine tool detection data from the running data according to the target acquisition parameters, and providing the target machine tool detection data to the server. The power box (sensor module) is used for measuring the energy consumption index of the machine tool equipment, is connected to the equipment power bus, and is connected with the edge computing equipment through the bus, so that energy consumption data are transmitted. The power supply provides power for the industrial personal computer, the edge computing equipment and the power box. The code scanning gun is main operation hardware for an inspector to enter information of equipment components. The RFID reader-writer is used for identity authentication of a detector logging in the detection system. The display supports touch operation and is a main interface for an inspector to operate the inspection station. The keyboard and mouse are used for operating the detection system. The antenna is used for the edge computing device to receive the 4G wireless network. The power switch is a start-stop button of the whole detection workstation.
It should be noted that the machine tool detection device shown in fig. 2 is a preferred device structure, and the present application is not limited to the structure of the machine tool detection device shown in fig. 2, and on the basis of keeping the industrial personal computer and the edge computing device, a person skilled in the art can select whether to adopt other component parts or add a new component part according to actual needs.
In an embodiment, preferably, if a user needs to use a machine tool detection device to detect a machine tool device, the user needs to use an industrial personal computer to submit a machine tool detection application to the server, and the submitted content at least includes a machine tool model, a product line name, a numerical control system, a device type, a maximum stroke of a feed shaft, a maximum power, a number of main shafts, a maximum rotation speed of the main shafts, a fastest moving speed of the feed shaft, and the like. And the server side sends target acquisition parameters suitable for the model of the machine tool to the edge computing equipment of the machine tool detection equipment after the audit is passed. The edge computing device extracts corresponding machine tool detection data from the machine tool operation data according to the target acquisition parameters.
The machine tool equipment detection items comprise standard detection items, energy consumption detection items and other future expanded detection items, wherein the contents of the standard detection items and the energy consumption detection items are shown in tables 1 and 2.
It should be noted that the detection items listed in tables 1 and 2 are only examples, and the present invention provides a flexible and configurable definition of the detection items to a user, and is not limited to the examples listed.
Table 1 standard test item examples
TABLE 2 energy consumption test item example
| Energy consumption detection item | Description of the invention |
| Static energy consumption of machine tool | Measuring energy consumption value of equipment in static state |
| Cooling motor energy consumption measurement | Measuring energy consumption value of cooling motor |
| Energy consumption of main shaft at each rotating speed | Measuring the energy consumption value of the main shaft in each rotating speed interval |
| Each shaftMachine tool energy consumption in rapid operation state | Measuring the energy consumption value of each feed shaft in the uniform speed motion state |
| Power when tool changing of tool holder | Measuring the energy consumption value of the tool holder of the device during tool changing |
| Energy consumption measurement in simulated machining | Measuring the energy consumption value of the equipment during normal processing |
| Energy consumption at each axis F | Measuring the energy consumption value of each feed shaft at F ×) |
| Energy consumption of chip cleaner | Measuring the energy consumption value of a chip cleaner in operation of a device |
| Energy consumption of servo tailstock under various torques | Testing energy consumption value of servo tail platform under each torque |
| Energy consumption of oil-water separator | Measuring energy consumption value of oil-water separator of equipment |
| Chain chip cleaner energy consumption | Measuring energy consumption value of chain chip cleaner |
For a machine tool product line to be detected, a user can customize detection item demand pools of different machine tool product lines, define a measurement algorithm of each energy consumption detection item, and mark the defined energy consumption detection items as general items or individual items (the general items are all applied to equipment of different models of the product line, and the individual items are detection items set aiming at individual models of the equipment), the user can flexibly configure the measurement algorithm of the energy consumption detection items through a user-defined calculation formula function provided by the machine tool detection equipment, so that the individualized detection demands of the user are met. When the energy consumption detection item is newly added, the user can apply the previously defined energy consumption detection item to participate in calculation as a calculation factor of the detection item calculation formula. And finally obtaining a measurement algorithm of the detection item through calculation such as addition, subtraction, multiplication, division, time conversion and the like.
For example, when a user wishes to measure the net energy consumption of a spindle of a machine tool for ten minutes, the following is defined by the machine tool detection device: energy consumption detection item 1-power consumption of machine tool rest for ten minutes, energy consumption detection item 2-power consumption of machine tool spindle rotation for ten minutes, and measurement algorithm: and (3) the net energy consumption of the main shaft of the machine tool equipment rotating for ten minutes is the energy consumption detection item 2-the energy consumption detection item 1. At this time, if the power consumption of the machine tool for standing for ten minutes is measured to be A and the power consumption of the machine tool spindle for rotating for ten minutes is measured to be B, B-A is the net energy consumption of the machine tool spindle for rotating for ten minutes.
In one embodiment, in the process of setting the scoring standard to the server through the machine tool detection device, the user can define a measurement value interval of the grade according to the uniformly set scoring grade. When the measured value of the device falls within the interval, the score of the test is the same. The machine tool detection equipment provides a flexible score setting and grade dividing mechanism for a user, the user can set different full grades and scales aiming at the standard detection item and the energy consumption detection item, and one grade is selected and marked as a qualified line. For example, if the qualification criterion of the device test is that all the test items are qualified, the device test is marked as qualified. And if the score of any detection item is lower than the qualified line, the item is not qualified. If a certain detection is tested for each feeding shaft, if any feeding shaft is unqualified in score, the detection is also unqualified.
It is worth noting that the machine tool detection item, the machine tool detection program and the machine tool scoring standard form a machine tool detection model version, the three factors form a final detection result of one machine tool device, and when any one of the three factors is adjusted, the machine tool detection model version needs to be updated. The detection model version applied in detection needs to be embodied in the detection report of the machine tool equipment, and the different detection model versions are not comparable. When the user changes the detection item, the detection program or the grading standard, the machine tool detection equipment inquires whether the user upgrades the version number of the detection model, and the user can manually adjust the version number, upgrade or use the current version number and should not be lower than the current version number. For the version record of the machine tool detection model, a user can check the detection item, the detection program and the scoring standard applied to the historical version at that time, so that the user can conveniently trace the historical data.
The technical solution of the present application is described in detail by specific examples below.
As shown in fig. 3, the operation flow of the machine tool inspection apparatus is shown:
1) related personnel set a preset detection program and a corresponding macroinstruction for machine tool equipment to be detected; the preset detection program is designed based on expert detection behaviors which pass engineering practice verification; the programming of the macroinstruction can enable the industrial personal computer to start a preset detection program by identifying the detection identifier so as to start the acquisition of detection data;
2) setting a detection grading standard and a detection qualified standard as a preset evaluation rule by related personnel; the preset evaluation rule is designed based on the experience of experts on the standard detection;
3) related personnel log in a machine tool detection system of the industrial personal computer in an account or employee card mode and the like;
4) the method includes the steps that after logging in a machine tool detection system, basic information of machine tool equipment to be detected is recorded, specifically, three-code information of the machine tool equipment to be detected is obtained by connecting a machine head, a machine tool number (unique ID of the machine tool equipment in the machine tool detection system) recorded by a person is recorded, and the three-code information includes: the SN code (taking the dongle information), the Mac address and the dongle of the i5 model machine tool; for another example: the SN code (custom iFC _ Mac address), Mac address, etc. for Fanuc and siemens brand machines.
5) Starting a detection program in a machine tool detection system of related personnel, wherein at the moment, machine tool equipment to be detected runs according to a preset detection program to generate running data;
6) the edge computing device extracts target machine tool detection data from the operation data;
7) the machine tool detection system analyzes target machine tool detection data by using a preset evaluation rule, and provides a detection result in the form of a detection report, so that related personnel can check the operation index and the energy consumption data of the machine tool equipment through the detection report, and whether the machine tool equipment has factory conditions or not is judged.
Fig. 4 shows a schematic diagram of the effect of the detection report of the machine tool equipment. The state score of the machine tool equipment in the detection report is the mean value of the scores of the main shaft excitation characteristic, the dynamic precision, the response characteristic, the damping characteristic and the fluctuation characteristic of the five detection items. It should be noted that fig. 4 is only an example, and the present invention provides a flexible and configurable scoring standard definition for a user, that is, the user can define a detection item and a scoring mechanism according to actual requirements, and is not limited to this example.
In one embodiment, further, if the detection result of the machine tool equipment is not qualified, the machine tool equipment is detected again after offline maintenance, and then the state score of the machine tool equipment is calculated again. The detection of the machine tool equipment can be judged by comparing and analyzing the detected waveform, and the field condition is checked, so that the fault of the machine tool equipment is effectively identified, and an individualized fault identification model is formed. For example, FIG. 5A illustrates a problem analysis and optimization scheme for several exemplary waveforms. As shown in fig. 5B, by looking at the waveform, the relevant person can know the cause of the failure of the machine tool equipment because of the entry of foreign matter inside the ball nut. Fig. 5C shows the normal waveform of the machine tool after the machine tool is disassembled and cleaned.
In an embodiment, further, the operation flow of the machine tool detection apparatus further includes:
8) relevant personnel input the component information of the machine tool equipment into a machine tool detection system through a code scanning gun, Excel file import, manual input and other modes to generate an equipment delivery file; meanwhile, the recording and tracking of the replacement of the parts after the equipment leaves the factory is supported, and particularly, the method can be seen in fig. 6;
9) the machine tool equipment is packaged off line to complete the detection process.
All or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. Based upon such an understanding, the present invention also provides a computer program product comprising one or more computer instructions. The computer instructions may be stored in a computer readable storage medium. The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Referring to fig. 7, the present embodiment provides a detection apparatus for a machine tool device, and since the technical principle of the present embodiment is similar to that of the foregoing method embodiment, repeated descriptions of the same technical details are not repeated. The machine tool equipment detection device of the embodiment comprises the following modules:
the information acquisition module is used for acquiring preset detection items and a preset scoring mechanism of the machine tool equipment to be detected;
the data acquisition module is used for receiving machine tool detection data acquired by the machine tool detection equipment;
and the score calculating module is used for calculating the machine tool detection data of each preset detection item by using the preset score mechanism so as to generate a score for evaluating the quality condition of the machine tool equipment.
Further, in an embodiment, the information obtaining module is further configured to obtain a preset measurement algorithm between the preset energy consumption detection items when the number of the preset energy consumption detection items is at least two; and calculating the machine tool detection data of each preset energy consumption detection item by using the preset measurement algorithm to obtain a target machine tool energy consumption measurement value.
Further, in an embodiment, the detection apparatus of the machine tool device further includes an application processing module for: acquiring a machine tool detection application; determining corresponding target acquisition parameters according to the machine tool model information in the machine tool detection application; and providing the target acquisition parameters to machine tool detection equipment so that the machine tool detection equipment can extract target machine tool detection data from machine tool operation data.
Further, in an embodiment, the detection device of the machine tool equipment further includes a component information recording module, configured to record component information of the machine tool equipment that is qualified through detection; and recording the updated data of each machine tool device after leaving the factory.
Referring to fig. 8, the embodiment provides an obtaining apparatus of machine tool equipment detection data, which is applied to machine tool detection equipment. Since the technical principle of the present embodiment is similar to that of the foregoing method embodiment, repeated description of the same technical details is omitted. The device for acquiring the detection data of the machine tool equipment comprises the following modules:
the self-defining module is used for setting a preset detection item and a preset scoring mechanism of the machine tool equipment and providing the preset detection item and the preset scoring mechanism to the server;
the parameter receiving module is used for receiving the target acquisition parameters sent by the server;
the data acquisition module is used for acquiring operation data generated by the operation of the machine tool equipment according to a preset detection program;
and the data extraction module is used for extracting target machine tool detection data from the operating data according to the target acquisition parameters and providing the target machine tool detection data to the server.
Those skilled in the art should understand that the division of the modules in the embodiments of fig. 7 and 8 is only a logical division, and the actual implementation can be wholly or partially integrated into one or more physical entities. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware.
Referring to fig. 9, the embodiment provides an electronic device, which may be an industrial personal computer, a desktop computer, a portable computer, a smart phone, or the like. In detail, the electronic device comprises at least, connected by a bus: the machine tool equipment comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program stored by the memory so as to execute the quality detection method of the machine tool equipment or the acquisition method of the detection data of the machine tool equipment in the embodiment of the method.
The above-mentioned system bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In summary, the quality detection method and apparatus, and the detection data acquisition method and apparatus of the machine tool equipment of the present invention have the following advantages:
1) expert detection behavior programming: integrating the test methods verified by engineering practice, and compiling into a specific program as a machine tool performance calibration program;
2) expert experience datamation: data in the running process of a standard detection program is collected, and is extracted and analyzed in combination with expert observation experience and a process forming algorithm to generate a digital report so as to form a performance index;
3) the operation indexes of internal detection equipment are operated from a machine tool, the detection granularity is more accurate and more detailed, the detection standards are consistent, the detection efficiency is high, and the phenomenon that the detection results are different due to the difference of detection personnel can be avoided;
4) detection data reporting: data in the running process of a standard detection program is collected, and an algorithm is formed by combining expert observation experience and the process, so that the data is extracted and analyzed, and a digital report is quickly generated;
5) the detection data may be summarized: finding problems facilitates the front-end process to find problems and simultaneously provides improvement suggestions;
6) providing device full lifecycle management: the equipment detection condition and the equipment component information can be checked all the time from the equipment delivery to the later use; the data basis is provided for the long-term stable operation of the equipment, and the data support is also provided for the subsequent equipment production process improvement of equipment enterprises;
7) complete quality detection data and device information data: relevant main component information of the equipment can be input after the machine tool is detected to be qualified, so that the equipment has a perfect detection report and an equipment information report before delivery;
8) the function of viewing detection data in real time is provided: the inspector can observe the acquired detection data in real time and check the detection progress;
9) detection items, measurement calculation formulas and detection grading standards can be defined by users, and detection qualified standards are set: because the line type numbers of the detected products are different and the standards are different, enterprise personnel can formulate equipment detection items and delivery standards according to the actual conditions of the enterprise;
10) the operation is convenient: the invention has simple operation, can detect the equipment only by simple configuration and equipment information input, and has flexible and movable characteristics.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (9)
1. A quality detection method of machine tool equipment is applied to a server side, and the method comprises the following steps:
acquiring a preset detection item and a preset scoring mechanism of machine tool equipment to be detected;
receiving machine tool detection data collected by machine tool detection equipment;
and calculating the machine tool detection data of each preset detection item by using the preset scoring mechanism to generate a score for evaluating the quality condition of the machine tool equipment.
2. The quality detection method of machine tool equipment according to claim 1, wherein before acquiring the preset detection items and the preset scoring mechanism of the machine tool equipment to be detected, the method further comprises:
acquiring a machine tool detection application;
determining corresponding target acquisition parameters according to the machine tool model information in the machine tool detection application;
and providing the target acquisition parameters to machine tool detection equipment so that the machine tool detection equipment can extract target machine tool detection data from machine tool operation data.
3. The quality inspection method for a machine tool apparatus according to claim 1, characterized by further comprising:
recording the part information of the qualified machine tool equipment; and the number of the first and second electrodes,
and recording the updated data of each machine tool device after leaving the factory.
4. The quality inspection method for a machine tool apparatus according to claim 1, characterized by further comprising:
generating a detection report of the machine tool equipment; wherein the content of the first and second substances,
the content of the detection report comprises the grade of the machine tool equipment and a waveform chart which can represent the fault reason.
5. The method for acquiring the detection data of the machine tool equipment is applied to the machine tool detection equipment, and comprises the following steps:
setting a preset detection item and a preset scoring mechanism of the machine tool equipment, and providing the preset detection item and the preset scoring mechanism to a server;
receiving target acquisition parameters sent by the server;
acquiring operation data generated by the operation of the machine tool equipment according to a preset detection program;
and extracting target machine tool detection data from the operating data according to the target acquisition parameters, and providing the target machine tool detection data to the server.
6. A quality detection device of machine tool equipment is characterized by being applied to a server; the device comprises:
the information acquisition module is used for acquiring preset detection items and a preset scoring mechanism of the machine tool equipment to be detected;
the data acquisition module is used for receiving machine tool detection data acquired by the machine tool detection equipment;
and the score calculating module is used for calculating the machine tool detection data of each preset detection item by using the preset score mechanism so as to generate a score for evaluating the quality condition of the machine tool equipment.
7. The utility model provides an acquisition device of lathe equipment testing data which is characterized in that, is applied to lathe check out test set, the device includes:
the self-defining module is used for setting a preset detection item and a preset scoring mechanism of the machine tool equipment and providing the preset detection item and the preset scoring mechanism to the server;
the parameter receiving module is used for receiving the target acquisition parameters sent by the server;
the data acquisition module is used for acquiring operation data generated by the operation of the machine tool equipment according to a preset detection program;
and the data extraction module is used for extracting target machine tool detection data from the operating data according to the target acquisition parameters and providing the target machine tool detection data to the server.
8. A computer-readable storage medium, in which a computer program is stored, which, when loaded and executed by a processor, carries out a method for quality inspection of a machine tool apparatus according to any one of claims 1 to 4, or a method for acquisition of inspection data of a machine tool apparatus according to claim 5.
9. An electronic device, comprising: a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is used for loading and executing the computer program to enable the electronic device to realize the quality detection method of the machine tool device according to any one of claims 1 to 4 or the acquisition method of the detection data of the machine tool device according to claim 5.
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