TWI481811B - System and method for detecting statuses of image capture devices - Google Patents

Description

Machine state detection system and method

The invention relates to an image measuring system and method, in particular to a machine state detecting system and method.

Image measurement is currently the most widely used measurement method in the field of precision measurement. This method not only has high precision, but also has fast measurement speed. Image measurement is mainly used for the measurement of dimensional error and shape error of parts, which plays an important role in ensuring product quality. The method generally uses an image measuring machine to respectively acquire a point cloud of a standard part and a part to be tested (ie, a set of points consisting of a plurality of three-dimensional discrete points), and then log the point cloud data to the computer to execute the corresponding software pair point cloud data. Various processes are performed to obtain test results.

Relevant personnel in the measurement department need to make an overall and comprehensive data analysis of the use of the image measuring machine to instantly understand the running status of the machine and the operating efficiency of the machine during working hours. The traditional method is to manually analyze the efficiency of the image measuring machine in a certain period of time, which requires a lot of time.

In view of the above, it is necessary to provide a machine state detection system and method, which can automatically detect the operation state of the image measuring machine and calculate the utilization rate of the image measuring machine.

A machine state detection system includes an electronic device and an image measuring machine, the electronic device comprising:

a data acquisition module, configured to read a measurement process of the image measuring machine from the electronic device every preset interval time;

a status recording module, configured to record the image measuring machine to be in a closed state when the measurement process of the image measuring machine is not read;

The status recording module is further configured to: when reading the measurement process of the image measuring machine, acquire parameter information of the image measuring machine according to a pre-selected determining manner, and calculate the image measuring machine Parameter change amount;

The status recording module is further configured to determine whether the parameter change amount of the image measuring machine is greater than or equal to a preset threshold within a preset time;

The status recording module is further configured to: when the parameter change amount of the image measuring machine is less than a preset threshold within a preset time, record the image measuring machine to be in a stopped state;

The status recording module is further configured to: when the parameter change amount of the image measuring machine is greater than or equal to a preset threshold within a preset time, record the image measuring machine to be in an operating state, and record the image. Measuring the use time of the machine; and

The data storage module is configured to store the status information of the image measuring machine and the related machine data in a storage of the electronic device.

A method for detecting a state of a machine, running in an electronic device, the method comprising the following steps:

Reading the measurement process of the image measuring machine from the electronic device every preset interval time;

If the measurement process of the image measuring machine is not read, the image measuring machine is recorded to be in a closed state;

If the measurement process of the image measuring machine is read, the parameter information of the image measuring machine is obtained according to a pre-selected determining manner, and the parameter variation of the image measuring machine is calculated;

Determining whether the parameter change amount of the image measuring machine is greater than or equal to a preset threshold value within a preset time;

If the parameter change amount of the image measuring machine is less than the preset threshold within the preset time, the image measuring machine is recorded as a stop state;

If the parameter change amount of the image measuring machine is greater than or equal to the preset threshold within the preset time, record the image measuring machine as the running state, and record the usage time of the image measuring machine;

The state information of the image measuring machine and the related machine data are stored in the storage of the electronic device.

The foregoing method can be performed by an electronic device, such as a computer, having a display screen with a graphical user interface (GUI), one or more processors, storage, and storage in a memory for performing the methods. One or more modules, programs, or instruction sets. In some embodiments, the electronic device provides a variety of functions including wireless communication.

Instructions for performing the foregoing methods can be included in a computer program product configured to be executed by one or more processors.

Compared with the prior art, the machine state detection system and method can automatically detect the operation state of the image measuring machine, calculate the utilization rate of the image measuring machine, and improve the image measurement. s efficiency.

Referring to FIG. 1, a hardware architecture diagram of a preferred embodiment of the machine state detection system of the present invention is shown. In the present embodiment, the machine state detection system 2 includes one or more image measuring machines 10 (only one shown in FIG. 1), a data acquisition end 20, a server 30, and a user terminal device 40. In the present embodiment, an image measuring machine 10 will be described as an example.

The data acquisition end (such as a test computer) 20 is configured to detect the operation state of the image measuring machine 10 and obtain the machine data, and then transmit the operation state of the image measuring machine 10 and the machine data through the network 50. Give server 30. In this embodiment, the network 50 may be an intranet or an Ethernet, or may be an Internet or other type of communication network.

The user terminal device 40 acquires the operation state of the image measuring machine and the machine data from the server 30 every fixed time, and calculates the utilization rate of the image measuring machine, which is displayed on the display screen. In this embodiment, the machine state includes: a closed state, a stopped state, and an operating state. The machine data includes: a machine type, a machine number, and an IP address of a machine.

Referring to FIG. 2 and FIG. 3, it is a functional module diagram of the data acquisition end 20 and the user terminal device 40 of the present invention. In the embodiment, the data acquisition end 20 includes a first parameter setting module 201, a data acquisition module 202, a status recording module 203, a data storage module 204, a data transmission module 205, and a first storage 206. And the first processor 207. The user terminal device 40 includes a second parameter setting module 401, a computing module 402, a machine status display module 403, a report generating module 404, a second storage 405, and a second processor 406.

In this embodiment, the plurality of modules 201-205 are stored in the first storage 206 and configured to be executed by one or more processors (one processor 207 in this embodiment). The plurality of modules 401-404 are stored in the second storage 405 and configured to be executed by one or more processors (one processor 406 in the present embodiment) to complete the present invention.

The module referred to in the present invention is a computer program segment for performing a specific function, and is more suitable for describing the execution process of the software in the computer than the program. Therefore, the following description of the software in the present invention is described by a module. The function of each module will be described below in conjunction with the flowchart of FIG.

Referring to FIG. 4, it is a flow chart of a preferred embodiment of the method for detecting the state of the machine of the present invention.

In step S1, the data acquisition module 202 reads the measurement process of the image measuring machine 10 from the data acquisition terminal 20 at predetermined intervals according to the detection parameters preset by the first parameter setting module 201. In this embodiment, the detection parameters include, but are not limited to, a machine number, a name of a measurement software used in the image measuring machine 10, a reading waiting time, an interval time, and the like. The parameter setting interface of the first parameter setting module 201 is shown in FIGS. 5A-5F.

Referring to FIG. 5A, the name of the measurement software represents the measurement process of the image measuring machine 10. Referring to FIG. 5B, the waiting time refers to an acceptable no-operation period in the case where the measurement software is turned on. For example, if the time when the image measuring machine 10 is not operated exceeds the waiting time (for example, 5 minutes), it is determined that the image measuring machine 10 is in a stopped state.

The interval time refers to an interval (for example, 10 seconds) between each time the data acquisition end 20 acquires the parameter information of the image measuring machine 10 by performing a “scan”. In the present embodiment, the parameter information of the image measuring machine 10 includes the coordinates of the lens of the image measuring machine 10 or the CPU occupancy of the measuring process.

The time synchronization is a function set to prevent a situation in which the data acquisition terminal 20 has a system time error. If the system time of the data acquisition end 20 does not match the actual time, the function can be checked, so that the data acquisition module 202 will acquire the current time from the server 30.

Referring to FIG. 5C, the determination mode refers to a manner of determining whether the image measuring machine 10 is in an operating state. In the present embodiment, the determination manner includes, but is not limited to, a coordinate change determination method and a CPU occupancy determination method. If the coordinate change determination mode is selected, it is determined whether the image measurement machine 10 is in the running state according to the coordinate change amount of the lens of the image measuring machine 10; if the CPU occupancy determination mode is selected, the CPU occupancy rate changes according to the measurement process. The amount is judged whether or not the image measuring machine 10 is in an operating state.

It should be understood by those skilled in the art that in other embodiments, the determining manner may also adopt other rules, such as detecting data flow between the image measuring machine 10 and the data acquiring end 20, or an image measuring machine. The current of the power device of 10 is used to determine whether the image measuring machine 10 is activated.

Figure 5D shows the window interface for adding notes information, Figure 5E shows the window interface for viewing the system description, and Figure 5F shows the window interface for error diagnosis.

In step S2, the data acquisition module 202 determines whether the measurement process of the image measuring machine 10 is read. If the measurement process of the image measuring machine 10 is not read (refer to the software name set in FIG. 5A), step S3 is performed; if the measurement process of the image measuring machine 10 is read, step S4 is performed. .

In step S3, the state recording module 203 records that the image measuring machine 10 is in the off state, and then returns to step S1. At the same time, the data storage module 204 stores the state information of the image measuring machine 10 and the related machine data in the first storage 206. The machine data includes, but is not limited to, a machine type, a machine number, a machine IP address, and the like.

In step S4, the state recording module 203 acquires the parameter information of the image measuring machine 10 according to the pre-selected determination mode, and calculates the parameter variation amount of the image measuring machine 10.

For example, if the user selects the coordinate change determination mode, the parameter information includes the coordinates of the lens of the image measuring machine 10, and the parameter change amount refers to the coordinate change amount of the lens of the image measuring machine 10. In this embodiment, the coordinates of the lens of the image measuring machine 10 are displayed in a fixed area (such as a lower right corner area) of the window interface of the measuring software, and the state recording module 203 can be from the fixed area of the window interface of the measuring software. Read the coordinates of the lens of the image measuring machine 10.

If the user selects the CPU occupancy rate determination mode, the parameter information includes the CPU occupancy rate of the measurement process of the image measuring machine 10, and the parameter change amount refers to the CPU occupancy rate change amount of the measurement process.

In step S5, the state recording module 203 determines whether the parameter change amount of the image measuring machine 10 is greater than or equal to a preset threshold within a preset time (refer to the waiting time in FIG. 5B, 5 minutes). If the parameter change amount of the image measuring machine 10 is less than the preset threshold within the preset time, step S6 is performed; if the parameter change amount of the image measuring machine 10 is greater than or equal to the preset valve within the preset time Value, step S7 is performed.

For example, if the user selects the coordinate change determination mode, the state recording module 203 determines whether the coordinate change amount of the lens of the image measuring machine 10 is greater than or equal to a preset threshold (for example, 2 mm). If the user selects the CPU occupancy rate determination mode, the state recording module 203 determines whether the CPU occupancy rate change amount of the measurement process is greater than or equal to a preset threshold (1%).

In step S6, the state recording module 203 records that the image measuring machine 10 is in a stopped state, and then executes step S8.

In step S7, the state recording module 203 records the image measuring machine 10 as an operating state, records the usage time of the image measuring machine 10, and then performs step S8.

In step S8, the data storage module 204 stores the state information of the image measuring machine 10 and the related machine data in the first storage 206. The machine data includes, but is not limited to, a machine type, a machine number, a machine IP address, and the like.

In step S9, the data transmission module 205 uploads the status information of the image measuring machine 10 and the machine data to the server 30.

The user terminal device 40 can set the time for downloading the image measuring machine 10 state information and the machine data from the server 30 through the second parameter setting module 401. The parameter setting interface is shown in FIG. 6A. Then, the calculation module 402 calculates the utilization rate of the image measuring machine 10 based on the usage time of the image measuring machine 10. In the embodiment, the utilization rate includes a relative utilization rate and an absolute utilization rate, wherein the relative utilization rate = (machine use time, machine working time), absolute utilization rate = (machine use time, one day total work) time).

The machine status display module 403 is configured to display the status information of the image measuring machine 10 and the machine data on the display screen according to the display mode selected by the user. In the present embodiment, the display mode includes a list mode (see FIG. 6B) and a graphic mode (FIG. 6C). Referring to FIG. 6C, the image measuring machine with the number 01-0121 is in the running state, the image measuring machine with the number 01-0118 is in the stop state, and the image measuring machine with the number 05-0165 is in the closed state. .

The report generation module 404 is configured to generate a measurement report of the image measuring machine 10, and display the utilization rate of the image measuring machine 10 in the measurement report (refer to FIG. 6D).

In other embodiments, the functions of the server 30 and the user terminal device 40 may also be separately performed by the data acquisition terminal 20 (or other electronic device), thereby omitting the server 30 and the user terminal device 40, and retaining only the data acquisition. End 20. Alternatively, the functions of the data acquisition end 20 and the server 30 are combined in one electronic device.

In other embodiments, the data acquisition end 20 may also collect operational data of other devices (such as power supply devices), and then transmit the collected data to the server 30 for the same analysis process.

It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, and the present invention is not limited thereto. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that Modifications or equivalents are made without departing from the spirit and scope of the invention.

2. . . Machine state detection system

10. . . Image measuring machine

20. . . Data acquisition end

30. . . server

40. . . User terminal equipment

50. . . network

201. . . First parameter setting module

202. . . Data acquisition module

203. . . Status record module

204. . . Data storage module

205. . . Data transmission module

206. . . First storage

207. . . First processor

401. . . Second parameter setting module

402. . . Computing module

403. . . Machine status display module

404. . . Report generation module

405. . . Second storage

406. . . Second processor

1 is a hardware architecture diagram of a preferred embodiment of a machine state detection system of the present invention.

2 is a functional block diagram of the data acquisition end of the present invention.

3 is a functional block diagram of a user terminal device of the present invention.

4 is a flow chart of a preferred embodiment of the machine state detection method of the present invention.

5A-5F are schematic diagrams of parameter setting interfaces of the first parameter setting module.

FIG. 6A is a schematic diagram of a parameter setting interface of a second parameter setting module.

6B-6C are schematic views showing the interface of the state of the image measuring machine.

Figure 6D is a schematic diagram of an interface for generating a measurement report.

2. . . Machine state detection system

10. . . Image measuring machine

20. . . Data acquisition end

30. . . server

40. . . User terminal equipment

50. . . network

Claims (10)

A machine state detection system includes an electronic device and an image measuring machine, wherein the electronic device includes:
a data acquisition module, configured to read a measurement process of the image measuring machine from the electronic device every preset interval time;
a status recording module, configured to record the image measuring machine to be in a closed state when the measurement process of the image measuring machine is not read;
The status recording module is further configured to: when reading the measurement process of the image measuring machine, acquire parameter information of the image measuring machine according to a pre-selected determining manner, and calculate the image measuring machine Parameter change amount;
The status recording module is further configured to determine whether the parameter change amount of the image measuring machine is greater than or equal to a preset threshold within a preset time;
The status recording module is further configured to: when the parameter change amount of the image measuring machine is less than a preset threshold within a preset time, record the image measuring machine to be in a stopped state;
The status recording module is further configured to: when the parameter change amount of the image measuring machine is greater than or equal to a preset threshold within a preset time, record the image measuring machine to be in an operating state, and record the image. The usage time of the measuring machine; and the data storage module for storing the status information of the image measuring machine and the related machine data in the storage of the electronic device. The machine state detection system of claim 1, wherein the determining mode refers to a manner of determining whether the image measuring machine is in an operating state, including a coordinate change determining mode and a CPU occupancy determining mode. The machine state detection system of claim 2, wherein the state recording module acquires parameter information of the image measuring machine according to a pre-selected determination mode, and calculates the image measuring machine The amount of parameter change includes:
If the coordinate change determination mode is selected, the parameter information includes a coordinate of the image measuring machine lens, and the parameter change amount refers to a coordinate change amount of the image measuring machine lens; and if the CPU occupancy rate determining mode is selected, The parameter information includes a CPU occupancy rate of the measurement process of the image measuring machine, and the parameter change amount refers to a CPU occupancy rate change amount of the measurement process. The machine state detection system of claim 1, wherein the electronic device further comprises:
The machine status display module is configured to display the status information of the image measuring machine and the related machine data on the display screen according to the display mode selected by the user, and the display mode includes a list mode and a graphic mode. The machine state detection system of claim 1, wherein the electronic device further comprises:
a calculation module, configured to calculate a utilization rate of the image measuring machine according to the usage time of the image measuring machine; and a report generating module, configured to generate a measurement report of the image measuring machine, and measure the measurement The report shows the utilization rate of the image measuring machine. A method for detecting a state of a machine, running in an electronic device, the method comprising the following steps:
Reading the measurement process of the image measuring machine from the electronic device every preset interval time;
If the measurement process of the image measuring machine is not read, the image measuring machine is recorded to be in a closed state;
If the measurement process of the image measuring machine is read, the parameter information of the image measuring machine is obtained according to a pre-selected determining manner, and the parameter variation of the image measuring machine is calculated;
Determining whether the parameter change amount of the image measuring machine is greater than or equal to a preset threshold value within a preset time;
If the parameter change amount of the image measuring machine is less than the preset threshold within the preset time, the image measuring machine is recorded as a stop state;
If the parameter change amount of the image measuring machine is greater than or equal to the preset threshold within the preset time, record the image measuring machine as the running state, and record the usage time of the image measuring machine; The status information of the above-mentioned image measuring machine and related machine data are stored in the storage of the electronic device. The method for detecting a state of the machine according to the sixth aspect of the invention, wherein the determining mode is a method for determining whether the image measuring machine is in an operating state, and includes a coordinate change determining mode and a CPU occupancy determining mode. The method for detecting a state of a machine according to the seventh aspect of the invention, wherein the determining the parameter information of the image measuring machine according to the pre-selected determining manner, and calculating the parameter variation of the image measuring machine The steps include:
If the coordinate change determination mode is selected, the parameter information includes a coordinate of the image measuring machine lens, and the parameter change amount refers to a coordinate change amount of the image measuring machine lens; and if the CPU occupancy rate determining mode is selected, The parameter information includes a CPU occupancy rate of the measurement process of the image measuring machine, and the parameter change amount refers to a CPU occupancy rate change amount of the measurement process. The method for detecting a state of a machine according to Item 6 of the patent application, wherein the method further comprises the steps of:
The status information of the image measuring machine and the related machine data are displayed on the display screen according to the display mode selected by the user, and the display mode includes a list mode and a graphic mode. The method for detecting a state of a machine according to Item 6 of the patent application, wherein the method further comprises the steps of:
Calculate the utilization rate of the image measuring machine according to the usage time of the image measuring machine; and generate a measurement report of the image measuring machine, and display the utilization rate of the image measuring machine in the measuring report.