JP7049092B2 - Equipment management equipment, equipment management methods, and programs - Google Patents

Description

The present invention relates to an equipment management device, an equipment management method, and a program for acquiring sensor measurement data via a network.

Conventionally, an equipment management system that stores measurement data of sensors arranged in equipment in a factory in a server via a network has become widespread. For example, in the technique described in Patent Document 1, when the number of times the difference between the measurement data and the moving average value of the measurement data is out of the reference value exceeds a predetermined number, it is determined to be abnormal.

JP-A-2015-115540

By the way, in the technique described in Patent Document 1, since there is no past measurement data at the beginning of measurement, comparison data for comparing measurement data (for example, in Patent Document 1, a moving average value of measurement data) is appropriately set. Not done.

In view of such problems, it is an object of the present invention to provide an equipment management device, an equipment management method, and a program capable of appropriately setting comparison data for comparing measurement data.

In order to solve the above problems, the equipment management device of the present invention is provided with client identification information for identifying the client and equipment identification information for identifying the equipment, which are measured by sensors arranged in the equipment of a plurality of clients. The past measurement data is classified according to the acquisition unit that acquires the measurement data via the network and the client group classified by the client classification information that classifies the clients, and the past measurement data classified into the same client group is classified into the same client group . Classification of equipment The comparison generation unit that generates comparison data by further classifying each equipment group classified by the equipment classification information and collecting the past measurement data classified into the same equipment group, the latest measurement data, and It includes a data comparison unit that compares data with comparison data and an output unit that outputs the comparison result of the data comparison unit . Priorities are set in advance for each client group, and the comparison generation unit is the comparison result. When the clients to be output in are classified into a plurality of client groups, the past measurement data classified into the client groups determined based on the priority are put together to generate comparison data . A client group may consist of multiple clients in the same industry.

The comparison result may include information indicating the necessity of maintenance of the equipment or the presence or absence of abnormality in the equipment.

In order to solve the above problems, the equipment management method of the present invention is provided with client identification information for identifying the client and equipment identification information for identifying the equipment, which are measured by sensors arranged in the equipment of a plurality of clients. The process of acquiring measurement data via the network and the past measurement data classified by the client group classified by the client classification information that classifies the clients are classified, and the past measurement data classified into the same client group is used as equipment. The process of generating comparison data by further classifying each equipment group classified by the equipment classification information and collecting the past measurement data classified into the same equipment group, the latest measurement data, and the comparison data. The process of comparing the data and the process of outputting the comparison result between the latest measurement data and the comparison data are included, and the priority is set in advance for each client group, and the comparison result is output. When the client is classified into a plurality of client groups, the past measurement data classified into the client groups determined based on the priority are put together to generate the comparison data .

In order to solve the above problems, in the program of the present invention, the computer is provided with client identification information for identifying the client and equipment identification information for identifying the equipment, which are measured by sensors arranged in the equipment of a plurality of clients. The past measurement data is classified according to the acquisition unit that acquires the measured data via the network and the client group classified by the client classification information that classifies the clients, and the past measurement data classified into the same client group is used. , Further classify by equipment group classified by equipment classification information that classifies equipment, and collect past measurement data classified into the same equipment group to generate comparison data, and the latest measurement data. , The data comparison unit that compares the comparison data and the output unit that outputs the comparison result of the data comparison unit are made to function , and the priority is set in advance for each client group, and the comparison generation unit is When the clients to be output of the comparison result are classified into a plurality of client groups, the past measurement data classified into the client groups determined based on the priority are put together to generate the comparison data .

According to the present invention, it is possible to appropriately set comparison data for comparing measurement data.

It is a figure which shows the schematic structure of the equipment management system. It is a block diagram which shows the schematic structure of a server. It is a figure for demonstrating the comparative data. It is a flowchart which shows the flow of a facility management process.

Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The dimensions, materials, other specific numerical values, etc. shown in the embodiment are merely examples for facilitating the understanding of the invention, and do not limit the present invention unless otherwise specified. In the present specification and the drawings, elements having substantially the same function and configuration are designated by the same reference numerals to omit duplicate description, and elements not directly related to the present invention are not shown. do.

FIG. 1 is a diagram showing a schematic configuration of the equipment management system 100. As shown in FIG. 1, the equipment management system 100 includes a sensor 110, a relay device 120, and a server 200 (equipment management device).

The sensor 110 is provided in each of a plurality of facilities 132 in the facility 130 of a plurality of clients such as a factory. The sensor 110 is capable of short-range wireless communication such as Bluetooth (registered trademark) and wireless LAN (Local Area Network), measures the measurement target of the equipment 132, and collects the measurement data for each facility 130 by short-range wireless communication. It is transmitted to the provided relay device 120. Further, the communication between the sensor 110 and the relay device 120 is not limited to wireless communication, and may be wired communication. Here, multi-hop communication may be performed in an ad hoc mode in which a plurality of sensors 110 can communicate with each other. The relay device 120 may be in the infrastructure mode in which communication is controlled.

The network 140 is a communication network including, for example, the Internet, a mobile phone network, a PHS network, and the like. The relay device 120 is connectable to the network 140, and transmits the measurement data transmitted from the plurality of sensors 110 to the server 200 via the network 140.

The server 200 establishes communication with the relay device 120 of the facility 130 of the plurality of clients via the network 140. The server 200 collects the measurement data transmitted from the relay devices 120 of the plurality of facilities 130 and analyzes the measurement data.

(Server 200)
FIG. 2 is a block diagram showing a schematic configuration of the server 200. The server 200 includes a communication unit 210, a storage unit 212, and a central control unit 214. The communication unit 210 establishes communication through the relay device 120 and the network 140. The storage unit 212 is composed of a ROM, RAM, flash memory, HDD, and the like, and stores programs and various data used in the server 200.

The central control unit 214 is composed of a CPU and a DSP, and controls the entire server 200 by using a program stored in the storage unit 212. The central control unit 214 also functions as a communication control unit 230 (acquisition unit), a storage control unit 232, a comparison generation unit 234, a data comparison unit 236, and an output unit 238.

The communication control unit 230 controls the communication unit 210 and acquires measurement data from the relay device 120. The storage control unit 232 stores the acquired measurement data in the storage unit 212. The comparison generation unit 234 generates comparison data from the past measurement data stored in the storage unit 212.

Client identification information for identifying the client and equipment identification information for identifying the equipment 132 are added to the measurement data. The client identification information is added to the measurement data by, for example, the relay device 120. The equipment identification information is added to the measurement data by, for example, the sensor 110.

The storage unit 212 stores in advance client classification information for classifying clients into client groups and equipment classification information for classifying equipment 132 into equipment groups.

The client classification information is information for classifying clients according to predetermined rules (for example, industry, area where equipment 132 is located, scale of equipment 132). Based on the client classification information, a plurality of clients are classified into, for example, client groups by industry. Further, the plurality of clients may be classified into client groups for each region of the location of the equipment 132 or for each equipment 132 based on the client classification information. The plurality of clients may be classified by, for example, the type of industry and the region where the equipment 132 is located, or by the region where the equipment 132 is located and the scale of the equipment 132, based on the client classification information. , Equipment 132 may be categorized by scale and industry. The plurality of clients may be classified into, for example, the type of industry, the area where the equipment 132 is located, and the client group for each equipment 132 based on the client classification information. For example, one client may be classified in a plurality of client groups in duplicate.

Further, the equipment classification information is information for classifying the equipment 132 according to a predetermined rule (for example, type). Based on the equipment classification information, a plurality of equipment 132s are classified into equipment groups for each type.

The comparison generation unit 234 reads the measurement data from the storage unit 212, and classifies the measurement data for each client group based on the client identification information and the client classification information. For example, as described above, when one client is classified in a plurality of client groups in a duplicated manner, the measurement data is classified in a plurality of client groups in a duplicated manner. The comparison generation unit 234 classifies the measurement data classified for each client group into the equipment group based on the equipment identification information and the equipment classification information. The comparison generation unit 234 collects the past measurement data classified into the same equipment group for each client group and generates comparison data.

That is, the comparison generation unit 234 regards the past measurement data of the target client and the past measurement data measured in the same type of equipment 132 of a plurality of clients in the same industry as the measurement data of one equipment 132. Generate comparison data. For example, each client group is preset with a priority indicating priority. When the target client is classified into multiple client groups, the client group selected for comparison data is determined by the priority. However, the client group may be determined by means other than the priority.

FIG. 3 is a diagram for explaining comparative data. In FIG. 3, for example, a case where gas is used in the equipment 132 and the measurement data of the gas usage amount is generated by the sensor 110 will be taken as an example.

In FIG. 3, the measured value is a value indicated by the measurement data measured by the sensor 110 in the equipment 132 of the facility 130 of the target client (for example, the daily gas consumption of the equipment 132). The mean value, the first threshold value, and the second threshold value are comparison data generated from the past measurement data of the target client and the past measurement data of the same type of equipment 132 of the client of the same industry. The average value is the daily average value of the past measurement data. The first threshold value is the average value minus a predetermined value. The second threshold value is the sum of the average value and a predetermined value. Here, the comparison generation unit 234 statistically derives a predetermined value from, for example, variations in past measurement data.

However, as the measurement data or the comparison data, the gas usage amount for one hour may be shown, or the gas usage amount for one minute may be shown. Further, the measurement data and the comparison data are not limited to the gas usage amount, but the electricity usage amount may be shown, the water usage amount may be shown, or the flow rate of other fluids may be shown. , Reactor temperature may be indicated.

In the graph shown in FIG. 3, in addition to the latest measured value (the rightmost value among the measured values in the figure), the value of the past measured data within the same year is also shown in chronological order. Corresponding mean values, first thresholds, and second thresholds are also shown in chronological order according to past measurement data within the same year.

The data comparison unit 236 compares the latest measurement data (the latest value described above) with the comparison data (the first threshold value and the second threshold value on the same date as the latest value in FIG. 3). The data comparison unit 236 determines, for example, whether or not the measurement data is equal to or greater than the first threshold and equal to or less than the second threshold. The data comparison unit 236 determines that there is no abnormality (maintenance is not required) if the measurement data is equal to or greater than the first threshold value and is equal to or less than the second threshold value. If the measurement data is below the first threshold value or exceeds the second threshold value, the data comparison unit 236 determines that an abnormality may have occurred (maintenance required).

Here, the data comparison unit 236 compares, for example, the latest measurement data with the comparison data generated from the measurement data of the same date as the latest measurement data and before the last year. However, the measurement data that is the source of the comparison data may be appropriately changed depending on the periodicity of the measured values and the like. For example, when the measurement data is generated every hour and the measured values repeat approximately the same pattern in a 24-hour cycle, the comparison data is generated from the latest measurement data and the measurement data before the previous day in the same time zone.

The output unit 238 outputs the comparison result of the data comparison unit 236 as the result of the analysis process. For example, when the user terminal accesses a predetermined URL on the Internet by a browser, the output unit 238 transmits the data (browser display format) of the comparison result (for example, the graph shown in FIG. 3) to the user terminal. The comparison result is displayed on the browser of the user terminal from the received data. The user can grasp the comparison result (no abnormality, possibility of occurrence of abnormality, necessity of maintenance) of the data comparison unit 236 from the comparison result displayed on the browser. That is, the comparison result includes information indicating whether or not maintenance of the equipment 132 is necessary or whether or not the equipment 132 is abnormal (possible).

Further, when the browser of the user terminal accesses a predetermined URL on the Internet, a link is displayed on the page. When this link is selected (clicked), the output unit 238 transmits the comparison result data (spreadsheet software format) to the user terminal. The spreadsheet software on the user terminal can display the comparison result from the received data. For example, if a template is specified in advance by the user, the measurement data is written in the template, so that it is possible to output in a display format and an aggregation method that meet the user's request.

Here, the case where the comparison result of the data comparison unit 236 is displayed by both the browser and the spreadsheet software has been described. However, the comparison result of the data comparison unit 236 may be displayed by only one of the browser and the spreadsheet software. When the comparison result is displayed by the browser, for example, the graph shown in FIG. 3 may be updated to the latest one at predetermined intervals by a script language program running on the browser. In this case, once the comparison result is displayed on the browser, the comparison result is automatically updated, so that the burden of the user's confirmation work of the comparison result can be reduced.

Further, when it is determined that the measurement data is below the first threshold value or exceeds the second threshold value and there is a possibility that an abnormality has occurred (maintenance is required), the output unit 238 is a graph shown in FIG. In addition, it may be notified by text information or the like that an abnormality may occur (maintenance is required).

As described above, the comparison data is generated by collecting the past measurement data for each of the facilities 130 of the same type in the client group classified by the client classification information. Therefore, for example, an appropriate value for each industry can be set as comparison data across clients, and the comparison data can be an appropriate value. Further, even if there is no past measurement data of the target facility 130, comparison data can be generated from the past measurement data of other clients in the same industry.

FIG. 4 is a flowchart showing the flow of equipment management processing. The process shown in FIG. 4 is repeatedly executed, for example, at a predetermined cycle.

(S300)
The communication control unit 230 determines whether or not the measurement data periodically transmitted from the relay device 120 via the network 140 is written (received) in the communication unit 210. If the measurement data has been received, the process is transferred to S302, and if the measurement data has not been received, the process is transferred to S304.

(S302)
The communication control unit 230 captures (acquires) the measurement data written in the communication unit 210.

(S304)
The comparison generation unit 234 determines whether or not there is an output request for the comparison result from the user terminal (for example, a data download request in the browser display format or the spreadsheet software format). If there is an output request, the process is transferred to S306. If there is no output request, the equipment management process is terminated.

(S306)
The comparison generation unit 234 generates comparison data from the past measurement data in the same type of equipment 132 of the same client group as the target client in response to the output request. Here, a case where the comparison generation unit 234 generates the comparison data in response to the output request of the comparison result has been described. However, when the measurement data is acquired, the comparison generation unit 234 may generate the corresponding comparison data and store it in the storage unit 212. In this case, the comparison result by the data comparison unit 236 may also be stored in the storage unit 212, and the output unit 238 may read the comparison result from the storage unit 212 in response to the output request of the comparison result.

(S308)
The data comparison unit 236 compares the latest measurement data with the comparison data.

(S310)
The output unit 238 outputs the latest measurement data and the comparison result data of the comparison data to the user terminal in a format corresponding to the output request of the comparison result from the user terminal.

Although the preferred embodiment of the present invention has been described above with reference to the accompanying drawings, it goes without saying that the present invention is not limited to such an embodiment. It is clear that a person skilled in the art can come up with various modifications or modifications within the scope of the claims, which naturally belong to the technical scope of the present invention. Understood.

For example, a program that causes a computer to function as the equipment management system 100 or server 200 of the above embodiment, or a computer-readable flexible disk, magneto-optical disk, ROM, CD, DVD, BD that records the program. Storage media such as are also provided. Here, the program refers to a data processing means described in any language or description method.

Further, in the above-described embodiment, the case where the comparison generation unit 234 collects the past measurement data for each of the plurality of equipment 132 classified by the equipment classification information and generates the comparison data has been described. However, the classification of equipment 132 (measurement data) based on the equipment classification information is not an essential configuration. For example, if there is only one type of target equipment 132, it is not necessary to classify the equipment 132 by the equipment classification information.

The present invention can be used for equipment management devices, equipment management methods, and programs for acquiring sensor measurement data via a network.

110 Sensor 132 Equipment 140 Network 200 Server (equipment management device)
230 Communication control unit (acquisition unit)
234 Comparison generation unit 236 Data comparison unit 238 Output unit

Claims (5)

An acquisition unit that acquires the client identification information that identifies the client and the measurement data to which the equipment identification information that identifies the equipment is added , measured by sensors arranged in the equipment of a plurality of clients, via a network. ,
The past measurement data is classified for each client group classified by the client classification information for classifying the client, and the past measurement data classified in the same client group is classified by the equipment classification information for classifying the equipment. A comparison generation unit that further classifies each of the equipment groups and collects the past measurement data classified into the same equipment group to generate comparison data.
A data comparison unit that compares the latest measurement data with the comparison data,
An output unit that outputs the comparison result of the data comparison unit and
Equipped with
Priorities are preset for each of the client groups.
When the client to be output of the comparison result is classified into a plurality of the client groups, the comparison generation unit obtains the past measurement data classified into the client group determined based on the priority. A facility management device that collectively generates the comparison data . The equipment management device according to claim 1, wherein the client group includes a plurality of the clients in the same industry. The equipment management device according to claim 1 or 2, wherein the comparison result includes information indicating the necessity of maintenance of the equipment or the presence or absence of an abnormality in the equipment. A process of acquiring client identification information for identifying the client and measurement data to which the equipment identification information for identifying the equipment is added , measured by sensors arranged in the equipment of a plurality of clients, via a network.
The past measurement data is classified for each client group classified by the client classification information for classifying the client, and the past measurement data classified in the same client group is classified by the equipment classification information for classifying the equipment. A process of further classifying each equipment group and collecting the past measurement data classified into the same equipment group to generate comparison data.
The process of comparing the latest measurement data with the comparison data,
The step of outputting the comparison result between the latest measurement data and the comparison data, and
Including
Priorities are preset for each of the client groups.
When the client to be output of the comparison result is classified into a plurality of the client groups, the past measurement data classified into the client group determined based on the priority is collected and the comparison data is obtained. Equipment management method to generate . Computer,
An acquisition unit that acquires the client identification information that identifies the client and the measurement data to which the equipment identification information that identifies the equipment is added , measured by sensors arranged in the equipment of a plurality of clients, via a network. ,
The past measurement data is classified for each client group classified by the client classification information for classifying the client, and the past measurement data classified in the same client group is classified by the equipment classification information for classifying the equipment. A comparison generation unit that further classifies each of the equipment groups and collects the past measurement data classified into the same equipment group to generate comparison data.
A data comparison unit that compares the latest measurement data with the comparison data,
An output unit that outputs the comparison result of the data comparison unit and
To make it work
Priorities are preset for each of the client groups.
When the client to be output of the comparison result is classified into a plurality of the client groups, the comparison generation unit obtains the past measurement data classified into the client group determined based on the priority. A program that collectively generates the comparison data .

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