JP2020140599A - Water distribution management system - Google Patents

Abstract

To solve a problem that it is difficult to efficiently operate water distribution pipeline network in a wide area because operational data and information handled in a water distribution management system differ depending on a user environment and were treated as confidential information.SOLUTION: A water distribution management system includes: an anonymization unit that anonymizes water distribution operation data of a plurality of users; a data storage unit that stores the anonymized data, which is the water distribution operation data that has been anonymized, for each user; and a data provision unit that provides the anonymized data stored in the data storage unit to another user.SELECTED DRAWING: Figure 1

Description

The present application relates to a water distribution management system.

As a water distribution management system, it is important to operate water resources efficiently and to supply them stably. Especially for the efficient operation of the water distribution pipeline network over a wide area, we collect, accumulate, and monitor fluctuating water distribution flow rate, pressure, and water quality measurement values as real-time information, and when an abnormality occurs. Needs a quick response.

Such a water distribution management system involves a plurality of users (local governments). Patent Document 1 proposes a technique of using a cloud server in order to collectively manage data of a plurality of users and improve the efficiency of services to a plurality of users. The technique shown in Patent Document 1 relates to a plant monitoring support system, and in order to maintain the soundness of equipment, monitoring data relating to a plurality of users corresponding to a plurality of systems is accumulated in a database and displayed by the user. It provides monitoring data in response to the inquiry of. In particular, a device that authenticates a user when a request from a user is received and transmits the processing result of data processing is shown.

Japanese Unexamined Patent Publication No. 2011-198236

The data handled in the water distribution management system varies depending on the user's environment. If the user is a water supply municipality, the operation is performed according to the regional characteristics, the operational data and information are treated as confidential information, and each user (for example, a municipality, but other than the municipality is also applicable). Since the water distribution operation system of (hereinafter referred to as user) is dispersed in the area, there was no mechanism to collect the operation data of individual users and operate it in a wide area. Therefore, it has not been realized to manage the water distribution by using the technique of Patent Document 1. On the other hand, with the progress of IoT and AI technologies, it is being considered to utilize these systems, but it has not been realized yet.

An object of the present application is to provide a water distribution management system capable of efficiently operating a water distribution pipeline network over a wide area by collectively providing a plurality of users.

The water distribution management system of the present application has an anonymization unit that anonymizes the water distribution operation data in the water distribution operation system of a plurality of users, and anonymization data that is the water distribution operation data that has been anonymized for each user. It includes a data storage unit for storing data and a data providing unit for providing anonymized data stored in the data storage unit to another user.

According to the water distribution management system of the present application, by providing the water distribution operation data for each user to other users after performing anonymity processing, the users related to the water distribution management system are provided with a common service. , Efficient operation of the water distribution pipeline network in a wide area becomes possible.

It is explanatory drawing which shows the structure of the water distribution management system which concerns on Embodiment 1 of this application. It is explanatory drawing which shows the structure of the water distribution management system which concerns on Embodiment 1 of this application. It is a figure which shows the hardware configuration of the water distribution management system which concerns on Embodiment 1 of this application. It is explanatory drawing which shows the structure of the water distribution management system which concerns on Embodiment 2 of this application. It is a block diagram of the water distribution operation system which concerns on Embodiment 3 of this application. It is a block diagram of the water distribution operation system which concerns on Embodiment 4 of this application. It is explanatory drawing which shows the structure of the billing system in the water distribution management system which concerns on Embodiment 4 of this application.

Hereinafter, embodiments of the water distribution operation service providing device according to the present application will be described with reference to the drawings. The same or corresponding parts in each figure are designated by the same reference numerals, and duplicate description will be omitted.

Embodiment 1.
Hereinafter, the configuration of the water distribution management system according to the first embodiment of the present application will be described with reference to FIG.
As shown in the figure, the water distribution management system 1 provides a plurality of users 540 with data for efficiently operating the water distribution pipeline network.
In general, the user 540 who provides water distribution has a population with important issues such as sustaining the minimum necessary water supply, developing emergency water supply activities in the event of a water outage, building a backup system, and supplying water to important water supply bases in the event of a disaster. It also holds information on water supply and geographical information on water supply. However, from the viewpoint of protecting personal information and maintaining safe water distribution, the information held has not been shared. In this embodiment, the user 540 is integrated into one system, the data held by the user 540 is collected by the management device 1000, the data is processed into the information necessary for the water distribution operation system, and the data or the information is anonymous. It is configured to be processed and provided to users who need the data or information.

The management device 1000 includes a data collection unit 11, a data processing unit 12, an anonymization unit 13, a data storage unit 14, and a data providing unit 15 by sharing and distribution. In particular, the anonymization unit 13 anonymizes the collected data so that the information on the source of the data does not go out. That is, the water distribution operation data for each user accumulated by performing anonymity processing in the water distribution operation system is provided to another user, and the data provided by a plurality of users and the information created by analyzing the data are used. It is designed so that it can be shared by multiple users and distributed as needed. In the following description, the water distribution management system will be described as a “water distribution operation sharing system”.

Next, the relationship between the management host and the user in the water distribution operation sharing system will be described with reference to FIG.
FIG. 2 is an explanatory diagram showing the configuration of the water distribution management system according to the first embodiment, and as shown in FIG. 2, the water distribution operation sharing system includes hardware 10, a virtual machine monitor 20, and a management host. It is composed of OS100, a first guest OS200, and a second guest OS300.
The hardware 10 is the main body of the virtual cloud. The virtual machine monitor 20 is a control program (virtualization OS) for realizing virtualization, and corresponds to, for example, the Xen virtual machine monitor. The management host OS 100 is an OS for managing the first guest OS 200 and the second guest OS 300. The first guest OS 200 and the second guest OS 300 are equipped with a water distribution operation system for users.

In the wastewater management system according to the first embodiment, the management device 1000 realizes the functions of the respective parts shown in FIG. 1 by executing the management host OS 100 by using the hardware 10.

The management host OS 100 has a data processing function 120 that processes the water distribution operation data of the first guest OS 200 for information provision, an anonymization function 130 that anonymizes the information of the provider user for information provision, and anonymization. A data storage unit 110 that stores water distribution operation data, a device driver 150 that exchanges information with the hardware 10, a front-end driver 250 of the first guest OS 200 through the virtual machine monitor 20, and a front-end driver of the second guest OS 300. It consists of a backend driver 160 that communicates with 350.

The first guest OS 200 includes a communication function 210 that communicates with a terminal device installed in each user, a monitoring function 220 that monitors the status of pumps and valves, and a control function 230 that remotely controls pumps and valves. It includes a storage function 240 for storing form data such as monitored and controlled past data, flow rate and water distribution amount, and a front-end driver 250 for communicating with the back-end driver 160 of the management host OS 100.

The second guest OS 300 includes a communication function 310 for communicating with a terminal device installed in each user, a monitoring function 320 for monitoring the status of pumps and valves, and a control function 330 for remotely controlling pumps and valves. It includes a storage function 340 for storing form data such as monitored and controlled past data, flow rate and water distribution amount, and a front-end driver 350 for communicating with the back-end driver 160 of the management host OS 100.

FIG. 3 is a diagram showing the hardware configurations of the management host 100A, the first guest 200A, and the second guest 300A of the water distribution management system. The management host 100A includes a processor 100A1, a memory 100A2, an interface 100A3, and a program storage medium 100A4, and they are connected via a bus 100A5. Here, the program storage medium 100A4 of the management host 100A stores the control software including the management host OS 100 described with reference to FIG.
Further, the first guest 200A includes a processor 200A1, a memory 200A2, an interface 200A3, and a program storage medium 200A4, and they are connected via a bus 200A5. Further, the second guest 300A includes a processor 300A1, a memory 300A2, an interface 300A3, and a program storage medium 300A4, and they are connected via a bus 300A5. Here, the program storage media 200A4 and 300A4 of the first guest 200A and the second guest 300A store control software including the first guest OS 200 and the second guest OS 300, respectively.

Next, the operation will be described.
The water distribution operation system of each user is installed in the first guest OS 200 and the second guest OS 300. The user accesses the first guest OS 200 through a VPN (Virtual Private Network) line provided by a telecommunications carrier, for example, using a terminal device installed in an operation monitoring room. The communication function 210 provides a function based on a separately contracted line contract according to access from each user. For example, VPN-IP and VPN lines are provided with various communication functions by setting service contents according to billing charges.

The monitoring function 220 has a monitoring function specialized for the user. The monitoring function of each user is not always common due to the regional characteristics peculiar to users such as plains, mountains, and urban areas, and requires special processing. Therefore, the monitoring function 220 and the monitoring function 320 are basically different monitoring functions, although they have some functional common parts.

The control function is different for each user as well as the monitoring function. Therefore, the control function 230 and the control function 330 are also different. The storage function 240 and the storage function 340 are also different.
The storage functions 240 and 340 start storage when the water distribution operation system is provided for each user. Therefore, the storage function 240 and the storage function 340 may have different storage periods. In addition, the contents of the accumulated information are also different as described above.
The operation between the management host OS and the guest OS is to send and receive stored data in a fixed cycle and a non-fixed cycle. Basically, the accumulated information is transmitted from the first guest OS 200 and the second guest OS 300 to the management host OS 100 at regular intervals. Further, the management host OS 100 has a function of requesting the guest OS by designating the period and contents of the stored data. The storage function 240 of the first guest OS 200 and the storage function 340 of the second guest OS 200 have a function of responding to a request from the management host OS 100.

The anonymized data A111 stored in the data storage unit 110 of the management host OS 100 is data obtained by processing and anonymizing the stored data acquired from the storage function 240 of the first guest OS 200 according to the information providing service. Data processing is performed by the data processing function 120. The anonymization function 130 uses k-anonymization technology to anonymize. Here, "k-anonymization" means that the data of the quasi-identifier (same attribute) is converted into k or more data, and the probability that the user is identified is reduced to 1 / k or less. It is a technology that makes it difficult. Data processing and anonymization process the data collected from the storage functions 240 and 340 by constant-period transmission / reception or non-periodic-period transmission / reception. Similarly, the anonymized data B112 stored in the data storage unit 110 is data obtained by processing and anonymizing the stored data acquired from the storage function 340 of the second guest OS according to the information providing service. Since the anonymized data A111 and the anonymized data B112 are information related to the water distribution operation peculiar to each user, the accumulation period and the accumulated contents after the data processing or the anonymization processing are set differently depending on the user.
Since the management host OS 100 associates each anonymized data with each user and stores them in the data storage unit 110, the user can be identified from the anonymized data.

When the user of the first guest OS 200 exits the virtual cloud due to the expiration of the contract, etc., the data accumulation of the anonymized data A111 is stopped, and the data accumulated up to that point is added with the file name etc. and is unique accumulated data. Is stored in the data storage unit 170. The Web function 180 is a function of providing anonymized data A111 and anonymized data B112 to users. The user will purchase the anonymized data A111 and the anonymized data B112 as needed.

The data collection unit 11 of the management device 1000 corresponds to the back-end driver 160 shown in FIG. 2, the data processing unit 12 corresponds to the data processing function 120 shown in FIG. 2, and the anonymization unit 13 corresponds to the anonymization unit 13. Corresponding to the anonymization function 130 shown in FIG. 2, the data storage unit 14 corresponds to the data storage unit 110 shown in FIG. 2, and the data providing unit 15 corresponds to the Web function 180 shown in FIG. There is.

Embodiment 2.
FIG. 4 is an explanatory diagram showing the configuration of the water distribution management system according to the second embodiment.
The water distribution operation sharing system 500 is the water distribution operation sharing system described in the first embodiment. Communication between the mobile edge computing 510 and the edge computing 515 is performed via the carrier line 505. The mobile edge computing 510 transmits and receives information from the terminal device 530 via the access point 520. The edge computing 515 transmits and receives information from the IoT device 535 via the access point / network device 525.

The water distribution operation sharing system 500 provides services to various users 540 based on information from mobile edge computing 510 and edge computing 515.
User A580 is a user corresponding to the first guest OS 200 in the first embodiment. Further, the user B581 is a user corresponding to the second guest OS 300 in the first embodiment.

Next, the operation will be described.
The water distribution operation sharing system 500 has a function of exchanging information and sharing information between mobile edge computing 510 and edge computing 515. Mobile edge computing is a technology for installing a processing server as close to a terminal device as possible, and what is required here is to place the processing server as close as possible. As a means to realize it, for example, there is a means called a connected car having a function of always connecting to the Internet. This is a technology to install a processing server as close to a terminal device as possible in order to realize low-delay communication. Therefore, the service (information) provided by the mobile edge computing 510 shown here means a processing server for satisfying the demands of real-time performance and low latency.
The water distribution operation sharing system 500 collects information that does not require real-time performance, such as user information and location information, from mobile edge computing 510 and utilizes it for providing services for users 540.

The specific utilization method of the information collected through the mobile edge computing 510 and the edge computing 515 will be described.
The anonymized data A111 and the anonymized data B112 described in the first embodiment are data based on the water distribution operation system of each user. Here, by combining the information collected from the mobile edge computing 510 and the edge computing 515, a certain rule analysis is performed and utilized for providing a service for the user 540. For example, if there is monthly data on the amount of water distributed in the area in the anonymized data A111, the density of the population can be obtained by combining the location information and time information of the terminal device 530 collected by Mobile Edge Computing 510. And the correlation of water distribution amount can be found. Such correlated and useful data is provided from the water distribution operation sharing system 500 to the user 540. The user 540 can use it as a parameter for improving the accuracy of water distribution prediction and controlling the pump (automatic operation) based on the provided data.

Embodiment 3.
FIG. 5 shows a configuration diagram of a water distribution operation system according to the third embodiment. The management host OS 100 has a host DPI 600 as a function of identifying the contents of communication packets. Similarly, the first guest OS 200 has a first guest DPI 610, and the second guest OS 300 has a second guest DPI 620. Here, DPI (Deep Packet Inspection) is a function of identifying the purpose (protocol) of the packet by looking at the payload portion of the packet header.
It has a QoS function to identify packets and then preferentially transmit them according to the priority of each packet. Quality of Service (QoS) is the quality of service provided on a network. By implementing QoS in network equipment, priority is given to transmission of specific communications and bandwidth is secured. Can be done. In the third embodiment, the management host OS 100 is provided with QoS605, the first guest OS200 is provided with QoS615, and the second guest OS300 is provided with QoS625.

The DPI 600 and QoS 605 identify and preferentially transfer packets for the user 540 to which the service is provided. For example, when the anonymized data A111 is provided to the user 540, necessary data is taken out from the anonymized data A111, encapsulated, and transmitted to the user 540. At this time, if the priority is high, QoS605 interrupts another packet transfer and performs priority transmission.

The DPI610 and QoS615 function exclusively for the first guest OS 200. The DPI 620 and QoS 625 function exclusively for the second guest OS 300. Therefore, each packet in the first guest OS 200 and the second guest OS 300 functions independently of the DPI 600 and the QoS 605 (does not pass through the DPI 600 and the QoS 605). The DPI function and the QoS function itself are functions implemented in dedicated devices and routers. However, when the DPI is combined with the water distribution operation sharing system by a dedicated device, all the packets of the management host OS100, the first guest OS200, and the second guest OS300 pass through the DPI device. It is not efficient because the DPI device performs the identification processing of all packets. Therefore, here, the management host OS 100, the first guest OS 200, and the second guest OS 300 are provided with the DPI function.

Embodiment 4.
FIG. 6 is a block diagram of the water distribution operation system according to the fourth embodiment. FIG. 7 shows the configuration of the billing system in the water distribution management system according to the fourth embodiment.
In the fourth embodiment, the billing function 700 is provided as one of the services provided to the user 540. FIG. 7 is an explanatory diagram showing a specific form of the billing function 700.
In the fourth embodiment, the service provision screen 710 for the user by the Web function 180, the data storage unit 110 for accumulating necessary data, the data storage unit 170, the QoS 605 for determining the priority of the packet, and the 605 for identifying the contents of the packet. It consists of a log 720 for billing.

The operation of the fourth embodiment will be described.
The user 540 accesses the Web function 180 that provides the service. The Web function 180 makes the service provision screen 710 available for viewing by the user 540. User 540 selects and purchases desired data from the menu. The data posted on the service provision screen 710 is information such as anonymized data A111, and the provider is collected from the water distribution operation system of each user.
The data determined to be purchased by the user 540 is transmitted from the Web function 180 to the data storage unit 110 or the data storage unit 170 as "retrieval data designation". The data storage unit 110 or the data storage unit 170 takes out the data specified by the user 540 and adds a priority tag to the packet according to the charge of the menu of the service provision screen 710. The basic price is set as a flat rate for the data provided, and medium-price data or high-price data is set according to the degree of added value to the basic flat-rate data. ing. Further, the packet has a fixed length and is transmitted to DPI600 and QoS605 in the management host OS100.

In QoS605, the priority is determined from the tag and the log is output. The DPI 600 identifies the contents of the packet and leaves a log. The log 720 counts how many times a packet of which priority is transmitted to a certain user 540, and charges the user according to the number of times. That is, the charge is set according to the priority of the water distribution operation data to be provided and the number of transmissions. The log 720 also calculates the fee to be paid to the information providing organization (user). As a result, the amount of payment to the information provider is set, and transactions are performed according to the value of the information.

Although the present disclosure describes various exemplary embodiments and examples, the various features, embodiments, and functions described in one or more embodiments are applications of a particular embodiment. It is not limited to, but can be applied to the embodiment alone or in various combinations.
Therefore, innumerable variations not illustrated are envisioned within the scope of the techniques disclosed herein. For example, it is assumed that at least one component is modified, added or omitted, and further, at least one component is extracted and combined with the components of other embodiments.

1000 management device,
10 hardware, 11 data collection department, 12 data processing department,
13 Anonymization Department, 14 Data Storage Department, 15 Data Providing Department,
20 virtual machine monitor, 100 management host OS, 100A management host,
100A1, 200A1, 300A1 processor,
100A2, 200A2, 300A2 memory,
100A3, 200A3, 300A3 interface,
100A4, 200A4, 300A4 program storage medium,
100A5, 200A5, 300A5 bus, 110 data storage unit,
111 Anonymized data A, 112 Anonymized data B, 120 Data processing function,
130 anonymization feature, 150 device driver, 160 backend driver,
170 data storage, 180 Web function, 200 first guest OS,
210, 310 communication function, 220, 320 monitoring function, 230, 330 control function,
240, 340 storage function, 250, 350 front-end driver,
300 Second guest OS, 500 Water distribution operation sharing system,
505 Carrier Line, 510 Mobile Edge Computing,
515 Edge Computing, 520 Access Points,
525 access points / network equipment, 530 terminal equipment,
535 IoT devices, 540 users, 580 users A, 581 users B,
600, 610, 620 DPI, 605, 615, 625 QoS,
700 billing function, 710 service provision screen, 720 logs

Claims (5)

Anonymization department that anonymizes the water distribution operation data of multiple users,
A data storage unit that stores anonymized data, which is the water distribution operation data that has been anonymized, for each user.
A water distribution management system including a data providing unit that provides the anonymized data accumulated in the data storage unit to another user. The water distribution management system according to claim 1, wherein the data storage unit, the anonymization unit, and the data provision unit are constructed on a virtual cloud. The water distribution management system according to claim 1 or 2, wherein the data providing unit has a function of identifying the contents of the water distribution operation data to be provided, and transmits information according to the priority of the information. Any one of claims 1 to 3, wherein a charge is set for each data of the water distribution operation data to be provided in the data providing unit, and a charge is made according to the provision of the water distribution operation data. Water distribution management system described in. The water distribution management system according to claim 4, wherein the charge is set according to the priority of the water distribution operation data to be provided and the number of transmissions.

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