JP6583871B2 - Measurement solution service provision system - Google Patents

Description

  The present invention relates to a measurement solution service providing system, and more particularly to a relay device.

  In recent years, a technique called IoT (Internet of Things) has attracted attention. This IoT is a technology for realizing the utilization of data generated from objects by making every object (sometimes described as a thing) accessible to the Internet having OPEN characteristics. is there.

  IoT technology is expected as the fourth industrial revolution, and is rapidly changing various industrial fields by connecting goods and the Internet. For example, user spending in the domestic market is expected to grow at an average of 16.9%, and the domestic market in 2020 is projected to reach 14 trillion yen. In Germany, efforts to industry 4.0 have begun, and this is an active market worldwide.

  Against this background, in the measuring instrument manufacturing industry, this year is positioned as the first year of IoT, and a measurement system that utilizes IoT technology along with the development of infrastructure (sometimes referred to as infrastructure or infrastructure). Development is expected.

  However, no system has been proposed so far that provides a measurement solution service that satisfies such expectations. For example, Patent Document 1 discloses a background technology related to the IoT technology in relation to the cloud computing technology. Patent Documents 2 and 3 disclose background technologies related to cloud computing technology. Patent Document 4 discloses a technique related to collection of measurement (measurement) data. Furthermore, Patent Literature 5 discloses a technique related to display of measurement data.

JP-T-2006-522939 Special table 2015-534167 gazette JP 2006-224578 A JP 2003-220774 A JP 2003-90742 A

  Supplementally, when collecting measurement data of different formats transmitted from multiple measurement sources distributed at manufacturing bases (sites), and performing aggregate analysis processing and display processing, the main issues in conventional measurement systems are as follows: There are four matters.

  (1) The increase in the total cost of measurement data is inevitable. In other words, a large number of man-hours are required for data aggregation, which increases operational costs.

  (2) Lack of immediacy in the display of analysis results of aggregate data. For this reason, measures against quality degradation are delayed, and there is a risk of quality accidents and troubles.

  (3) Aggregation forms and data integration between manufacturing bases is difficult. In other words, since data aggregation / analysis is generally performed at each site, data integration requires a lot of man-hours and labor.

  (4) Automation of data analysis is difficult. That is, in order to automate data analysis, introduction costs for servers, dedicated software, and the like are individually generated for each site.

  The problem is to provide a technology that enables an epoch-making measurement solution service related to measurement data processing by linking the IoT technology and the cloud computing technology.

In order to solve the above problem, a relay apparatus according to one aspect is a relay apparatus that functions as an IoT gateway in a measurement solution service providing system including a cloud computing system;
Means for collecting measurement data transmitted from a plurality of measurement sources that are dispersedly arranged in each process in the site corresponding to the manufacturing site and measure the quality status of each process;
Means for transmitting the measurement data via a communication network to request processing of the collected measurement data;
Means for receiving the measurement data transmitted from each of a plurality of relay devices arranged for each of the bases, and accumulating the measurement database in a hierarchical structure adopting a logical tree form;
A means for performing a totaling analysis process for each of the bases, and a means for performing a totaling analysis process for each integration target between the bases,
In cooperation with a cloud computing system including means for displaying the result of the total analysis processing of the measurement data, and in response to a display request from the browser user terminal, transmitting a display processing result to the viewer user terminal;
The measurement data starts from identification information that identifies a user of the cloud computing system, and uses identification information that identifies a base corresponding to the manufacturing site and identification information that identifies the measurement source as a branch point. Accumulated in the measurement database in a hierarchical structure taking the logical tree form, with the measurement value and measurement time information at the source as the end point;
The aggregation analysis processing means in the cloud computing system is configured such that the measured values at the measurement sources accumulated in the measurement database as the end points of the hierarchical structure adopting the logical tree form are between the bases under the same starting point. Is recognized based on the measurement unit of the measurement value or the type of the measurement source, and the measurement data is aggregated and analyzed for each integration target between the bases.

In this aspect, each of the plurality of measurement sources includes a measurement device, and the measurement device includes a measurement device capable of independently transmitting the measurement data.
In this aspect, each of the plurality of measurement sources includes a measurement device, and the measurement device includes a stand-alone measurement device coexisting with a measurement device capable of autonomously transmitting the measurement data.

  In this aspect, the means for collecting the measurement data collects the measurement data transmitted from a measurement data input device that displays a screen for allowing the measurement data to be input by the stand-alone measuring device.

The relay device according to another aspect is a relay device functioning as an IoT gateway in a measurement solution service providing system including a cloud computing system;
Collecting measurement data sent from multiple measurement sources that are distributed in each process in the site corresponding to the manufacturing site and measure the quality status of each process,
Including a processor configured to transmit the measurement data over a communication network to request processing of the collected measurement data;
Receiving the measurement data respectively transmitted from a plurality of relay devices arranged for each of the bases, integrated in a measurement database in a hierarchical structure that takes a logical tree form,
Aggregating and analyzing the measurement data for each base, and performing a totaling analysis process for each integration target between the bases,
In cooperation with a cloud computing system configured to display the result of the total analysis processing of the measurement data and to transmit the display processing result to the browser user terminal in response to a display request from the viewer user terminal ;
The measurement data starts from identification information that identifies a user of the cloud computing system, and uses identification information that identifies a base corresponding to the manufacturing site and identification information that identifies the measurement source as a branch point. Accumulated in the measurement database in a hierarchical structure taking the logical tree form, with the measurement value and measurement time information at the source as the end point;
The aggregation analysis processing in the cloud computing system is related to the measurement values in the measurement source accumulated in the measurement database as the end points of the hierarchical structure adopting the logical tree form, and the relationship between the bases under the same starting point. By recognizing the measurement based on the measurement unit of the measurement value or the type of the measurement source, the measurement data is aggregated and analyzed for each integration target between the bases.

  According to the disclosed technology, by integrating IoT technology and cloud computing technology, the measurement data is accumulated in the cloud computing system, and aggregate analysis processing and display processing are performed anytime, anywhere, at each manufacturing site. Can provide innovative measurement solution service that can grasp the quality status of Moreover, the disclosed relay device contributes to the provision of an innovative measurement solution service.

  Other objects, features and advantages will become apparent upon reading the detailed description set forth below when taken in conjunction with the drawings and the appended claims.

The block diagram which shows the structure of the measurement solution service provision system of one Embodiment. The figure for demonstrating the measurement data of a different format in the system of one Embodiment. The figure for demonstrating the measurement data of the common format in the system of one Embodiment. The figure for demonstrating the SaaS type | mold cloud in the system of one Embodiment. The figure for demonstrating the hierarchical structure of the measurement data of the common format in the system of one embodiment. The figure for demonstrating the hierarchical structure of the measurement data of the common format in the system of one embodiment. The figure for demonstrating the process of SaaS type | mold cloud in the system of one Embodiment. The figure for demonstrating the process of SaaS type | mold cloud in the system of one Embodiment. The figure for demonstrating the example of a monitoring display in the system of one embodiment, and an alert notification example. The sequence diagram for demonstrating the measurement solution service provision process in the system of one Embodiment.

The block diagram which shows the structure of the measurement solution service provision system of a 1st modification. The figure which shows an example of the measuring device in the system of a 1st modification. The figure for demonstrating the measurement data input screen of the measurement data input device in the system of the 1st modification. The figure for demonstrating the measurement data input screen of the measurement data input device in the system of the 1st modification. The figure for demonstrating the measurement data input process of the measurement data input device in the system of the 1st modification. The block diagram which shows the structure of the measurement solution service provision system of a 2nd modification. The figure which shows an example of the measuring device in the system of a 2nd modification. The figure for demonstrating the measurement data reception confirmation screen of the IoT relay apparatus in the system of the 2nd modification.

  Hereinafter, further detailed description will be given with reference to the accompanying drawings. The drawings show preferred embodiments. However, it can be implemented in many different forms and is not limited to the embodiments described herein.

[Measurement solution service provision system]
Referring to FIG. 1 showing a system configuration in one embodiment, a measurement solution service providing system 1 integrates measurement data in a common format in a cloud computing system and aggregates it in cooperation with IoT technology and cloud computing technology. It is a system that provides an innovative measurement solution service that can grasp the quality status of each process at a manufacturing base (site) anytime, anywhere by performing analysis processing and display processing.

  The measurement solution service providing system 1 includes a plurality of device networks 2, a cloud computing system 3, a browser user terminal 4, a first communication network 5, and a second communication network 6. Here, the first communication network 5 and the second communication network 6 are IP networks because the system 1 is premised on application of the IoT technology, and more specifically, is the Internet having an OPEN characteristic. The communication networks 5 and 6 may be the same network.

  The device network 2 is a local area network (LAN) constructed in a manufacturing site of a contractor (cloud user) who uses the cloud computing system 3, that is, in a manufacturing site (manufacturing factory). The device network 2 is constructed for each domestic and / or overseas manufacturing site, and there are a plurality (N) of devices.

  Each device network 2 includes an IoT relay device 21, measuring devices 22A, 22B, and 22C as a plurality of measuring sources A, B, and C, wireless transmitters 23A and 23B, and a wireless receiver 24.

  The measuring devices 22A and 22B of the plurality of measuring sources A, B, and C that are distributed (discrete) in each process in the manufacturing site and measure the quality status of each process are digital measuring instruments and are connected to each other. The measurement data AA and BB are transmitted to the wireless receiver 24 by short-range wireless communication via the wireless transmitters 23A and 23B. The measuring device 22C is an analog measuring device and transmits measurement data CC to the IoT relay device 21 by wired communication. The measurement data AA, BB, and CC are preferably transmitted independently from the plurality of measurement sources A, B, and C at predetermined intervals. Here, the predetermined interval corresponds to an appropriate sampling time (for example, several minutes) for grasping the quality status of the object (thing) in each process in the manufacturing site.

  As illustrated in FIG. 2, the measurement data AA, BB, CC transmitted from the plurality of measurement sources A, B, C to the receiver 24 and the IoT relay device 21 have different data lengths (for example, several Measurement data of different formats including at least items of measurement values (for example, length, weight, hardness, etc.) of measurement objects that differ from measurement source to measurement source. Here, the measurement value includes a measurement unit (for example, mm, g, etc.), but the measurement unit may be another item.

  The reason for the measurement data in different formats is that the manufacturers of the measuring instruments 22A, 22B, 22C and the wireless transmitters 23A, 23B are different, and the types of the measuring instruments 22A, 22B, 22C are digital measuring instruments, analog measuring instruments, dimensional measurements. This is also caused by differences from the measuring instrument, the weight measuring instrument, the hardness measuring instrument, and the like. As will be described in detail later, in the measurement solution service providing system 1, it is an important element of the measurement solution to convert measurement data of different formats into measurement data of a common format.

  The wireless receiver 24 receives the measurement data AA and BB transmitted from the measurement sources A and B, and inputs the measurement data AA and BB to the IoT relay device 21 in the state of measurement data in different formats.

  Specifically, each IoT relay device 21 is an IoT gateway provided by a cloud provider, and is distributed to each process in the manufacturing site, and a plurality of measurement sources A that measure the quality status of each process, A function of collecting measurement data AA, BB, CC in different formats transmitted from B and C in real time, and a function of converting the collected measurement data AA, BB, CC of different formats into measurement data DD in a common format; including.

  Further, the IoT relay device 21 transmits the measurement data DD in the common format to the cloud computing system 3 via the first communication network 5 in order to request processing of the converted measurement data DD in the common format. Includes functionality.

  When the IoT relay device 21 transmits the measurement data DD in the common format to the cloud computing system 3 via the first communication network 5, the IoT relay device 21 sets the communication protocol of the device network 2 to the IP ( It further includes a gateway function for converting to the Internet Protocol protocol. In the measurement solution service providing system 1, the gateway function connects the object and the Internet.

  As illustrated in FIG. 3, the measurement data DD in the common format has a predetermined data length and, as a predetermined item, identification information for identifying the cloud user of the cloud computing system 3 (user operator identification) Information) ID1, identification information (base identification information) ID2 for specifying a site corresponding to a manufacturing site, identification information (measurement source identification information) ID3 for specifying measurement sources A, B, and C, measurement at measurement sources A, B, and C It includes at least measurement time information MT in the form of value MV and year / month / day, hour: minute.

  Here, the service provider identification information ID1, the site identification information ID2, the measurement source identification information ID3, and the measurement time information MT respectively convert the collected measurement data AA, BB, CC in different formats into measurement data DD in a common format. It is added when you do. For example, the service provider identification information ID1 and the site identification information ID2 are registered (stored) in advance in the memory (disk) of the IoT relay device 21 by the cloud service provider. The measurement source identification information ID3 can be generated based on MAC (Media Access Control) addresses of the measurement sources A, B, and C accommodated in the IoT relay device 21. The measurement time information MT is generated based on the total seconds (integrated seconds) or standard time in the IoT relay device 21, and is strictly time information collected (received).

  The measurement data DD in the common format is further added with source information SA for specifying the IoT relay device 21 and destination information DS for specifying the cloud computing system 3 (not shown in FIG. 3), and an IP packet format. Is transmitted to the cloud computing system 3 in real time.

  As will be described in detail later, measurement data DD in a common format transmitted from each IoT relay device 21 of each device network 2 and received by the cloud computing system 3 is logically stored in the measurement database of the cloud computing system 3. It is stored (accumulated) in a hierarchical structure that takes the form of a tree.

  The IoT relay device 21 described above includes the following elements as a hardware configuration. That is, a CPU (Central Processing Unit) as a processor, a RAM (Random Access Memory) as a working memory, and a ROM (Read Only Memory) storing a boot program for startup.

  The IoT relay device 21 includes a disk as a non-volatile flash memory that stores an OS (Operating System), application programs, and various types of information (including data) in a rewritable manner, a communication control unit, a NIC (Network Interface) Card) and the like. Since these hardware configurations can be easily understood and implemented by those skilled in the art, illustration of this configuration is omitted.

  In order to logically realize each function described above, a processing program is installed in the flash memory as an application program. In the IoT relay device 21, the processor (CPU) always develops and executes this processing program in the RAM when power is turned on.

  The cloud computing system 3 is a cloud server computer maintained and managed by a cloud provider, and includes an IoT hub 31 and a SaaS cloud 32.

  In the cloud computing system 3, the IoT hub 31 is connected via the first communication network 5 to a plurality (N) of device networks 2 corresponding to a plurality of manufacturing sites of a cloud service provider.

  In general, cloud services provided by a cloud computing system include software as a service (SaaS (Software as a Service)), a platform as a service (Perth: PaaS (Platform as a Service)), and a service as a service. There is an infrastructure (IAS: Infrastructure as a Service).

  Here, the SaaS cloud service provides up to the highest level application software (Applications). The PaaS cloud service provides a set of platforms including hardware, operating system, and middleware for running application software. The IaaS cloud service provides an infrastructure including hardware (CPU, storage) and an operating system.

  In this cloud computing system 3, as shown in detail in FIG. 4, a SaaS cloud 32 is adopted. The SaaS cloud 32 receives the measurement data DD in the common format transmitted from each IoT relay device 21 in real time via the first communication network 5 and the IoT hub 31. Then, the SaaS cloud 32 performs an accumulation process and a total analysis process on the received measurement data DD in the common format.

  In addition, the SaaS cloud 32 displays the result of the aggregate analysis process of the measurement data DD in the common format that has been integrated, and when a display request is received from the browser user terminal 4, the display process result is displayed in the second communication network. 6 to the browser user terminal 4.

  More specifically, the measurement data DD in the common format transmitted from each IoT relay device 21 of each device network 2 and received by the cloud computing system 3 is stored in the measurement database DB1 by the integration process of the SaaS cloud 32. As illustrated in FIGS. 5 and 6, they are stored (integrated) in a hierarchical structure taking a logical tree form.

  That is, the SaaS type cloud 32 corresponds to the hierarchy of the use provider identification information ID1-site identification information ID2-measurement source identification information ID3 in the measurement database DB1 by the accumulation process of the received measurement data DD in the common format. The measurement value MV and the measurement time information MT at the measurement sources A, B, C for each of the bases X, Y, Z are sequentially accumulated.

  Therefore, the measurement data DD in the common format is the measurement database DB1, in which the service provider identification information ID1 is the starting point, the base identification information ID2 and the measurement source identification information ID3 are branch points, and the measurement value MV and the measurement time information MT are the end points. It can be understood as a hierarchical structure that takes a logical tree form.

  When the SaaS cloud 32 performs a total analysis process on the measurement data DD in the common format in the integrated measurement database DB1, the measurement value MV and measurement time information at the measurement sources A, B, and C for each of the bases X, Y, and Z MT is processed by statistical process control (SPC) analysis.

  The SaaS cloud 32 integrates the measurement values MV and the measurement time information MT at the measurement sources A, B, and C between the bases X, Y, and Z, and then performs the SPC analysis. For this integration, the SaaS cloud 32 recognizes that the measurement values MV at the measurement sources A, B, and C between the bases X, Y, and Z are related based on the measurement unit included in the measurement value MV. To do. In FIG. 6, the measurement values MV at the measurement source A (ID3-A) at the site X, the measurement source A (ID3-A) at the site Y, and the measurement source B (ID3-B) at the site Z are integrated. As an example.

  In addition, when the recognition based on a measurement unit cannot be applied, the SaaS type cloud 32 relates the measurement value MV at the measurement sources A, B, and C between the bases X, Y, and Z based on a predetermined integrated definition. recognize. In this integrated definition, according to the types of measuring devices 22A, 22B, 22C of measuring sources A, B, C for each of the bases X, Y, Z, that is, the size measuring device, the weight measuring device, the hardness measuring device, etc. The measurement sources A, B, and C between X, Y, and Z are set (registered) in advance in association with each other.

  Here, the SPC analysis employed by the SaaS cloud 32 is a method of monitoring processes and visualizing processes using statistics and graphs. In SPC analysis, charts such as control charts (Xbar-R control chart, Xbar-σ control chart, etc.), histograms, run charts, box whiskers, scatter charts, process capability index Cp and process performance index ( Statistics such as Process Performance Index (Pp) can be displayed on one screen. This makes it possible to obtain a lot of quality analysis information regarding the process from one screen.

  The SaaS cloud 32 performs aggregate analysis processing by SPC analysis so that the measurement data DD in the common format accumulated in the measurement database DB1 can be displayed on the viewer user terminal 4 in graph display, data display, and monitoring display, The result of the total analysis process is stored in a database (not shown).

  The SaaS cloud 32 displays graphs such as histograms, run charts, control charts, and the like as display processing results when displaying the results of the aggregate analysis processing in response to a display request from the browser user terminal 4 (FIG. 7).

  In addition, the SaaS cloud 32 displays an average value, a maximum value, a minimum value, a standard deviation, 3σ, a process capability index when displaying the result of the aggregate analysis process in response to a display request from the browser user terminal 4. Data such as Cp is displayed as a display processing result (report) (see FIG. 7).

  Furthermore, the SaaS cloud 32 displays a run chart or the like as a display processing result when monitoring and displaying the result of the total analysis processing in response to a display request from the browser user terminal 4 (see FIG. 7).

  The display request from the browser user terminal 4 includes designation of measurement source selection, graph selection, data selection, period selection, and the like. The display request for the monitoring display further includes designation of real-time display, 24-hour retroactive display, 1,500 retroactive display, and the like (see FIGS. 7 and 8).

  In the monitoring display, the SaaS cloud 32 constantly monitors the result of the aggregate analysis processing, and when a predetermined threshold threshold (for example, plus tolerance, minus tolerance) is exceeded, a corresponding graph display location (dot) ) Is displayed in red, and alert notification (for example, tolerance has been removed!) Is displayed by visual display (see FIG. 9). In this case, the SaaS type cloud 32 may display the state of the corresponding measurement source on the screen by blinking red. Note that the alert notification trigger threshold value may be set to exceed 3σ, exceed the measured value difference, or the like.

  In the monitoring display, a threshold threshold approach threshold is set as a threshold for the alert notification trigger, and the SaaS cloud 32 constantly monitors the result of the aggregate analysis process, and the threshold threshold approach threshold (for example, plus tolerance threshold) is set. When the value exceeds the vicinity or the vicinity of the negative tolerance, a prior alert notification (for example, the tolerance is likely to be exceeded!) May be displayed by visual display. In this case, the SaaS cloud 32 may be displayed by red display and red flashing as described above. That is, the SaaS cloud 32 predicts in advance the occurrence of process abnormality (quality abnormality) based on the result of the total analysis processing of the measurement data DD in the common format accumulated in the measurement database DB1.

  As described above, the SaaS type cloud 32 of the cloud computing system 3 receives the measurement data DD in the common format transmitted from each of the plurality of IoT relay devices 21 and integrates the measurement data DB1 in a hierarchical structure in the measurement database DB1. A function for totalizing and analyzing the measurement data DD in the common format for each integration target and a result of the total analysis processing for the measurement data DD in the common format are displayed and processed in response to a display request from the user terminal 4 And a function of transmitting the display processing result to the browser user terminal 4.

  In the SaaS cloud 32, in order to logically realize each function described above, a processing program is installed as an application program in the flash memory. In the SaaS type cloud 32, when the power is turned on, the processor (CPU) always develops and executes this processing program in the RAM. The measurement database DB1 and the like are configured in a flash memory and updated while maintaining a predetermined data accumulation amount.

  The browsing user terminal 4 is a terminal such as a personal computer PC, a smartphone SP, and a tablet TB having a Web (World Wide Web) browser, and is used by a browsing user of a cloud service provider.

  The browser user terminal 4 transmits a display request for requesting the display processing result of the measurement data DD in the common format to the cloud computing system 3 via the second communication network 6, and cloud computing A function of receiving a display processing result from the system 3 and a function of displaying the received display processing result are included. The browser of the cloud service provider can grasp the quality status of each process in each base based on the display processing result displayed on the browser user terminal 4 and can take necessary measures.

  Since the hardware configuration of the browser user terminal 4 can be easily understood and implemented by those skilled in the art, illustration and description thereof are omitted. In the browser user terminal 4, in order to logically realize each function described above, a processing program is installed as an application program in the flash memory. In the browser user terminal 4, the processor (CPU) develops this processing program in the RAM and executes it when the power is turned on or an instruction by the viewer is received.

[Measurement solution service provision processing]
Next, the operation in the measurement solution service providing system 1 will be described with reference to FIGS. 1 and 10 and related drawings. FIG. 10 shows an example of a measurement solution service providing process sequence in the measurement solution service providing system 1 described above. In the following description, the intervention of the communication networks 5 and 6 and the IoT hub 31 is omitted unless it becomes unclear.

  In each IoT relay device 21, when the power is turned on, a processing program is activated, and a processor (CPU) performs the following processing.

  [Processing S81 (see FIG. 10)] Collect measurement data AA, BB, CC of different formats transmitted from a plurality of measurement sources A, B, C.

  [Process S82] The collected measurement data AA, BB, CC in different formats are converted into measurement data DD in a common format. When converting to the measurement data DD in the common format, user operator identification information ID1, site identification information ID2, measurement source identification information ID3, and measurement time information MT are added.

  [Process S83] The measurement data DD in the common format is transmitted to the cloud computing system 3. When the measurement data DD in the common format is transmitted, it is converted into the IP protocol.

  In the SaaS cloud 32 of the cloud computing system 3, when the power is turned on, a processing program is activated and a processor (CPU) performs the following processing.

  [Processing S91 (see FIG. 10)] The measurement data DD of the common format transmitted from each IoT relay device 21 is received.

  [Process S92] The received measurement data DD in the common format is accumulated in the measurement database DB1 in a hierarchical structure.

  [Process S93] The measurement data DD in the common format subjected to the accumulation process is subjected to a total analysis process for each integration target.

  [Process S94] The result of the total analysis process of the measurement data DD in the common format is displayed, and the display process result is transmitted to the browser user terminal 4 in response to a display request from the browser user terminal 4.

  Further, in the browser user terminal 4, the processing program is activated upon power-on or an instruction from the viewer, and the processor (CPU) performs the following processing.

  [Processing S101 (see FIG. 10)] A display request for requesting the display processing result of the measurement data DD in the common format is transmitted to the cloud computing system 3.

  [Processing S102] The display processing result is received from the cloud computing system 3.

  [Process S103] The received display process result is displayed.

[Effect of one embodiment]
The measurement solution service providing system 1 according to the above-described embodiment integrates measurement data DD in a common format in the cloud computing system 3 in cooperation with the IoT technology and the cloud computing technology, and performs aggregate analysis processing and display processing. As a result, it is possible to provide a cloud service provider with an innovative measurement solution service that can grasp the quality status of each process at a manufacturing base (on-site) anytime, anywhere.

  In the measurement solution service providing system 1, the cloud computing system 3 processes the measurement data DD in a common format transmitted from each of the plurality of IoT relay devices 21 arranged for each base. It is possible to reduce the load on the 32 application software and increase the processing capability.

[First Modification of Embodiment]
Next, a first modification of the measurement solution service providing system 1 described above will be described with reference to FIGS. 11, 12, 13A, 13B, and 14. FIG.

  In the measurement solution service providing system 1 according to the embodiment described above, the measuring device 22A among a plurality of measuring sources A, B, and C that are distributedly arranged in each process in the manufacturing site and measure the quality status of each process. , 22B are digital measuring instruments that transmit measurement data AA, BB to the wireless receiver 24 by short-range wireless communication via the connected wireless transmitters 23A, 23B. The wireless receiver 24 receives the measurement data AA and BB transmitted from the measurement sources A and B, and inputs the measurement data AA and BB to the IoT relay device 21 in the state of measurement data in different formats. Further, the measurement device 22C among the plurality of measurement sources A, B, and C is an analog measurement device, and the measurement data CC is transmitted to the IoT relay device 21 by wired communication.

  In the measurement solution service providing system 1 of the first modification shown in FIG. 11, the measuring device 22C of the measuring source C in the device network 2 is a stand-alone analog measuring device (for example, a two-needle type dial gauge shown in FIG. 12). The measurement source C adopts a configuration including the measurement data input device 25 in order to transmit the measurement data CC to the IoT relay device 21 by wired communication.

  The measurement data input device 25 is configured by a personal computer, a smartphone, a tablet terminal, or the like, and is provided with at least a processing program for performing a measurement data input function, which will be described in detail later, from a cloud provider. Used by the measurement operator of the service provider.

  When the measurement operator measures, for example, the dimensions of a part at a predetermined interval with the measuring device 22C in a stand-alone state and transmits the input measurement data CC, the measurement data input device 25 is an example shown in FIG. 13A or FIG. 13B. A measurement data input screen 251 is displayed. The measurement data input screen 251 includes a reference value display unit 252, a numerical value selection unit 253, a measurement data display unit 254, a mode switching unit 255, and the like.

  Referring to FIG. 13A, when the measurement operator specifies the first mode with the mode button of the mode switching unit 255 and inputs the measurement data CC measured by the measuring instrument 22C, the reference value display on the measurement data input screen 251 is displayed. In the part 252, a predetermined reference value (for example, 0.015) is displayed. This reference value indicates the reference (target value) of the dimension (unit: mm) of the part measured in the process corresponding to the measurement source C, and is previously stored in the memory of the measurement data input device 25 by the numeric keypad operation of the measurement operator. Registered (stored).

  In the measurement data display unit 254, 0.01X is displayed as a candidate for the actual measurement value. Here, the lowest digit position corresponding to “X” in 0.01X is displayed by a blinking cursor in a blank state. When the measured value is, for example, 0.019, the measurement operator has a numerical value corresponding to the lowest digit of the difference (0.004) between the reference value (0.015) and the measured value (0.019). “4” is selected from the numerical value display array in the numerical value selection unit 253 and designated. As a result, a numerical value corresponding to the addition of the numerical value corresponding to the least significant digit specified by the numerical value selection unit 253 and the reference value is displayed at the blank digit position in the measurement data display unit 254, resulting in the measurement data display. The unit 254 displays measurement data 0.019 corresponding to all digits of the actual measurement value.

  When the measurement operator confirms the measurement data displayed on the measurement data display unit 254 and designates the confirmation button 256, the measurement data input device 25 displays the measurement data 0.019 displayed on the measurement data display unit 254. The measurement data CC of a different format is transmitted to the IoT relay device 21 by wired communication.

  The IoT relay device 21 is common to the cloud computing system 3 via the first communication network 5 in order to request processing of the converted measurement data DD in the common format, as in the embodiment described above. Transmit measurement data DD in format.

  In this first mode, the measurement operator selects a numerical value corresponding to the lowest digit of the difference between the reference value and the actual measurement value from the numerical value display array in the numerical value selection unit 253 and inputs it in a limited manner. To make it possible.

  Subsequently, referring to FIG. 13B, when the measurement operator designates the second mode by the mode button of the mode switching unit 255 and inputs the measurement data CC measured by the measuring device 22C, the measurement data input screen 251 is displayed. The reference value display unit 252 displays a predetermined reference value (for example, 0.015). This reference value indicates the reference (target value) of the dimension (unit: mm) of the part measured in the process corresponding to the measurement source C, and is previously stored in the memory of the measurement data input device 25 by the numeric keypad operation of the measurement operator. Registered (stored).

  In the measurement data display unit 254, 0.01X is displayed as a candidate for the actual measurement value. Here, the lowest digit position corresponding to “X” in 0.01X is displayed by a blinking cursor in a blank state. When the measured value is 0.014, for example, the measurement operator displays the numerical value “4” corresponding to the difference between the reference value (0.015) and the measured value (0.014) in the numerical value selection unit 253. Specify from the array. As a result, the numerical value designated by the numerical value selection unit 253 is displayed at the blank digit position in the measurement data display unit 254. As a result, the measurement data display unit 254 displays the measurement data 0. 014 is displayed.

  When the measurement operator confirms the measurement data displayed on the measurement data display unit 254 and designates the confirmation button 256, the measurement data input device 25 displays the measurement data 0.014 displayed on the measurement data display unit 254. The measurement data CC of a different format is transmitted to the IoT relay device 21 by wired communication.

  The IoT relay device 21 is common to the cloud computing system 3 via the first communication network 5 in order to request processing of the converted measurement data DD in the common format, as in the embodiment described above. Transmit measurement data DD in format.

  In the second mode, the measurement operator can select a numerical value corresponding to a difference between the reference value and the actual measurement value from the numerical value display array in the numerical value selection unit 253 and directly input the limited value.

  In the first mode and the second mode of the measurement data input function described above, a numerical value corresponding to the least significant digit of the difference between a predetermined reference value and an actual measurement value, and a predetermined reference value The numerical value corresponding to the lowest digit that is the difference between the measured value and the measured value is selected from the numerical value display array in the numerical value selection unit 253 and can be input in a limited manner. Numerical values corresponding to a plurality of digits may be selected and input.

  Since the hardware configuration of the measurement data input device 25 described above can be easily understood and implemented by those skilled in the art, illustration and description thereof are omitted. In the measurement data input device 25, in order to logically realize the above-described measurement data input function, a measurement data input processing program is installed in the flash memory as an application program. In the measurement data input device 25, the processor (CPU) develops this processing program in the RAM and executes it when power is turned on or an instruction from the measurement operator is given.

  That is, in the measurement data input device 25, the processing program is activated upon power-on or an instruction from the measurement operator, and the processor performs the measurement data input process described below.

  [Processing S141 (see FIG. 14)] The measurement data input screen 251 is displayed, and a reference value (for example, 0.015) stored in advance in the memory is read and displayed on the reference value display unit 252.

  [Process S142] When the measurement operator designates the first mode with the mode button of the mode switching unit 255, 0.01X is displayed on the measurement data display unit 254 as a candidate for the actual measurement value. Here, the lowest digit position corresponding to “X” in 0.01X is displayed by a blinking cursor in a blank state.

  [Process S143] The measurement operator selects a numerical value “4” corresponding to the least significant digit of the difference (0.004) between the reference value (0.015) and the actual measurement value (0.019) as the numerical value selection unit 253. When selecting and specifying from the numerical value display array in, the reference value (0.015) and the numerical value “4” corresponding to the least significant digit are added and displayed in the blank digit position in the measurement data display unit 254 Then, the measurement data 0.019 corresponding to all the digits of the actual measurement value is displayed on the measurement data display unit 254.

  [Process S144] When the measurement operator designates the confirm button 256, the measurement data 0.019 mm is transmitted to the IoT relay device 21 as the measurement data CC by wired communication.

  [Processing S145] When the measurement operator designates the second mode by the mode button of the mode switching unit 255, 0.01X is displayed on the measurement data display unit 254 as a candidate for the actual measurement value. Here, the lowest digit position corresponding to “X” in 0.01X is displayed by a blinking cursor in a blank state.

  [Process S146] When the measurement operator selects and designates the numerical value “4” corresponding to the difference between the reference value (0.015) and the actual measurement value (0.014) from the numerical value display array in the numerical value selection unit 253 Displays the designated numerical value “4” at the blank digit position in the measurement data display unit 254, and displays the measurement data 0.014 corresponding to all the digits of the actual measurement value on the measurement data display unit 254.

  [Process S147] When the measurement operator designates the confirmation button 256, the measurement data 0.014 mm is transmitted to the IoT relay device 21 as the measurement data CC by wired communication.

  In the measurement solution service providing system 1 according to the first modification described above, the measurement data input device 25 performs measurement from the measurement source C even when the measurement source C including the stand-alone measuring device 22C exists in the device network 2. By transmitting the data CC to the IoT relay device 21, it can be reflected in the measurement solution service provided by the cloud computing system 3.

  The first modification described above can also be applied to the measurement solution service providing system 1 of the second modification described in detail later.

[Second Modification of One Embodiment]
Next, a second modification of the measurement solution service providing system 1 described above will be described with reference to FIGS. 15, 16 and 17 together.

  In the measurement solution service providing system 1 according to the embodiment described above, the measuring device 22A among a plurality of measuring sources A, B, and C that are distributedly arranged in each process in the manufacturing site and measure the quality status of each process. , 22B are digital measuring instruments that transmit measurement data AA, BB to the wireless receiver 24 by short-range wireless communication via the connected wireless transmitters 23A, 23B. The wireless receiver 24 receives the measurement data AA and BB transmitted from the measurement sources A and B, and inputs the measurement data AA and BB to the IoT relay device 21 in the state of measurement data in different formats. Further, the measurement device 22C among the plurality of measurement sources A, B, and C is an analog measurement device, and the measurement data CC is transmitted to the IoT relay device 21 by wired communication.

  In the measurement solution service providing system 1 of the second modified example shown in FIG. 15, the measuring devices 22A and 22B among the plurality of measuring sources A, B and C are digital measuring devices (for example, gauges shown in FIG. 16). The measurement data AA and BB are transmitted to the wireless receiver 24 by the short-range wireless communication via the connected wireless transmitters 23A and 23B. However, in the wireless communication section between the wireless transmitters 23A and 23B and the wireless receiver 24, the measurement data AA and BB may be lost due to the influence of the environment in the manufacturing site. The IoT relay device 21 arranged at each site corresponding to the manufacturing site further includes a data loss repair function for repairing such a measurement data loss.

  For example, when the IoT relay device 21 collects measurement data AA of different formats transmitted from the wireless transmitter 23A of the measurement source A via the wireless receiver 24 (see process S81 in FIG. 10), the data loss relief As a function, the received measurement data AA is set in advance to be displayed on the measurement data reception confirmation screen 211 (see FIG. 17).

  In addition, when the IoT relay device 21 collects the measurement data AA, if the measurement data AA cannot be received at a predetermined interval as a data loss remedy function, wireless communication between the measurement source A and the IoT relay device 21 is performed. In order to notify the measurement operator of the occurrence of data loss in the section, a communication abnormality message (for example, a timeout has occurred) is preset to be displayed on the measurement data reception confirmation screen 211.

  The measurement operator can recognize the normal reception of the measurement data AA in the IoT relay device 21 by confirming that the communication abnormality message is not displayed on the measurement data reception confirmation screen 211. On the other hand, when a communication error message is displayed on the measurement data reception confirmation screen 211, the measurement operator determines that data is missing and operates the remeasurement button of the measuring instrument 22A to perform measurement again.

  In the measurement data reception confirmation screen 211 illustrated in FIG. 17, the measurement device 22A of the measurement source A measures the dimensions of three parts of the same component, and the measurement data AA is sent from the measurement source A to the IoT relay device 21. Although the state transition to be transmitted is shown, it may be a dimension measurement for one place.

  In the measurement solution service providing system 1 of the second modified example described above, even when a wireless communication section exists between the measurement source and the IoT relay device 21 and data loss occurs, measurement data from the measurement source is received. By enabling transmission to the IoT relay device 21 again, it can be reflected in the measurement solution service provided by the cloud computing system 3.

  The second modification described above can also be applied to the measurement solution service providing system 1 of the first modification shown in FIG.

[Other variations]
The processing in the above-described embodiment, first modification, and second modification is provided as a computer-executable program, a non-transitory computer-readable recording medium such as a CD-ROM or a flexible disk, and a communication line Can be provided via.

  In addition, each of the processes in the above-described embodiment, the first modified example, and the second modified example can be performed by selecting and combining any or all of the processes.

DESCRIPTION OF SYMBOLS 1 Measurement solution service provision system 2 Device network 3 Cloud computing system 4 Browser user terminal 5 1st communication network 6 2nd communication network 21 IoT relay apparatus 22A Measuring device 22B Measuring device 22C Measuring device 23A Wireless transmitter 23B Wireless transmitter 24 Wireless receiver 25 Measurement data input device 31 IoT hub 32 SaaS type cloud DB1 Measurement database 251 Measurement data input screen 211 Measurement data reception confirmation screen

Claims (5)

A relay device functioning as an IoT gateway in a measurement solution service providing system including a cloud computing system;
Means for collecting measurement data transmitted from a plurality of measurement sources that are dispersedly arranged in each process in the site corresponding to the manufacturing site and measure the quality status of each process;
Means for transmitting measurement data in a specific format to a cloud computing system via a communication network to request processing of the collected measurement data;
Means for receiving the measurement data of the specific format respectively transmitted from a plurality of relay devices arranged for each of the bases, and accumulating in a measurement database in a hierarchical structure adopting a logical tree form;
A means for performing a totaling analysis process for each of the bases, and a means for performing a totaling analysis process for each integration target between the bases,
In cooperation with a cloud computing system including means for displaying the result of the total analysis processing of the measurement data, and in response to a display request from the browser user terminal, transmitting a display processing result to the viewer user terminal;
The measurement data of the specific format transmitted from each of the plurality of relay devices starts from identification information that identifies a provider of the cloud computing system, and the identification information and measurement that identifies the base corresponding to the manufacturing site identification information for identifying the source and the branch point, said the end point of the measurement and the measurement time information in the measurement source, allowing promote Rukoto integrated in said measurement database in a hierarchical structure taking a logical tree form For this purpose, it includes a series of corresponding information items that follow identification information that identifies a user of the cloud computing system ;
The aggregation analysis processing means in the cloud computing system is configured such that the measured values at the measurement sources accumulated in the measurement database as the end points of the hierarchical structure adopting the logical tree form are between the bases under the same starting point. By recognizing the relationship of the measurement value based on the measurement unit of the measurement value or the type of the measurement source, the measurement data is aggregated and analyzed for each integration target between the bases;
Relay device. Each of the plurality of measurement sources includes a measuring instrument;
The measuring device includes a measuring device capable of transmitting the measurement data independently.
The relay apparatus according to claim 1. Each of the plurality of measurement sources includes a measuring instrument;
The measuring device includes a stand-alone measuring device coexisting with a measuring device capable of transmitting the measurement data independently.
The relay apparatus according to claim 1. The means for collecting the measurement data collects the measurement data transmitted from a measurement data input device that displays a screen for allowing the measurement data to be input by the measuring device in the stand-alone state.
The relay device according to claim 3. A relay device functioning as an IoT gateway in a measurement solution service providing system including a cloud computing system;
Collecting measurement data sent from multiple measurement sources that are distributed in each process in the site corresponding to the manufacturing site and measure the quality status of each process,
Including a processor configured to transmit measurement data in a specific format to a cloud computing system via a communication network to request processing of the collected measurement data;
Receiving the measurement data of the specific format transmitted from each of a plurality of relay devices arranged for each base, and accumulating in a measurement database in a hierarchical structure that takes a logical tree form,
Aggregating and analyzing the measurement data for each base, and performing a totaling analysis process for each integration target between the bases,
In cooperation with a cloud computing system configured to display the result of the total analysis processing of the measurement data and to transmit the display processing result to the browser user terminal in response to a display request from the viewer user terminal ;
The measurement data of the specific format transmitted from each of the plurality of relay devices starts from identification information that identifies a provider of the cloud computing system, and the identification information and measurement that identifies the base corresponding to the manufacturing site identification information for identifying the source and the branch point, said the end point of the measurement and the measurement time information in the measurement source, allowing promote Rukoto integrated in said measurement database in a hierarchical structure taking a logical tree form For this purpose, it includes a series of corresponding information items that follow identification information that identifies a user of the cloud computing system ;
The aggregation analysis processing in the cloud computing system is related to the measurement values in the measurement source accumulated in the measurement database as the end points of the hierarchical structure adopting the logical tree form, and the relationship between the bases under the same starting point. Recognizing the measurement data on the basis of the measurement unit of the measurement value or the type of the measurement source, the measurement data is aggregated and analyzed for each integration target between the bases;
Relay device.