JP2020042472A - Energy saving diagnostic system - Google Patents

Abstract

To provide an energy saving diagnostic system capable of further reducing the time required from the start of a field survey to the creation of a report.SOLUTION: A tablet terminal 2 transmits image data obtained by imaging to a server on the basis of the fact that operating equipment is imaged by a camera in order to detect the operating state of the equipment. A server 2A generates, based on the image data, state information in which the operating state is represented by numerical values. The server 2A calculates the energy amount estimated to be excessively consumed by the equipment on the basis of the state information. The server 2A creates report data of energy saving diagnosis including the calculated energy amount as a diagnosis result.SELECTED DRAWING: Figure 10

Description

  The present disclosure relates to an energy saving diagnosis system, an energy saving diagnosis method, and a program.

  2. Description of the Related Art Conventionally, in order to achieve energy saving of client equipment, energy saving diagnosis is performed as a consultation business. The energy saving diagnosis is divided into a simple diagnosis (preliminary diagnosis) and a detailed diagnosis.

  In the simple diagnosis, consultants (investigators and workers) conduct on-site investigations where the equipment is installed. Specifically, the consultant investigates the equipment specifications, operation status, and energy consumption. The survey includes a hearing. This survey is also called a “walk-through survey”.

  After that, the consultant formulates an improvement plan after organizing, analyzing, and evaluating the data obtained by the survey. Furthermore, the consultant calculates the countermeasure effect and countermeasure cost of the proposed improvement measure. The consultant will prepare a report based on these activities and report it to the client. After the simple diagnosis is performed, if a more detailed investigation is required, a detailed diagnosis is performed.

  By the way, in the above-described simple diagnosis method, it takes time from the start of the walk-through survey to the creation of a report because it involves various processes such as a walk-through survey, data arrangement, planning of improvement measures, calculation of countermeasure effects, etc. .

  Therefore, in recent years, a mobile terminal equipped with a program for performing a simple diagnosis has been introduced into a field survey (walk-through survey). In this case, the consultant manually inputs the data obtained by the on-site survey on the input screen of the mobile terminal at the site. Thereafter, the mobile terminal executes the program. Thereby, the mobile terminal calculates a simple diagnosis result. The consultant returns the mobile terminal to his or her office and prints out report data describing the diagnosis result at the office.

  Patent Document 1 discloses that a mobile terminal collects diagnostic data of a device, compares the diagnostic data with normal data, and determines whether or not the device is abnormal.

JP 2015-64766 A

  Even if a mobile terminal is introduced for simple diagnosis as described above, it takes several days (about two days) from the start of the field survey to the creation of a report.

  The present disclosure has been made in view of the above-described object, and an object of the present disclosure is to provide an energy-saving diagnostic system capable of further shortening a period required from the start of a field survey to the creation of a report. .

  According to an aspect of the present disclosure, an energy saving diagnostic system includes a mobile terminal and a server. The mobile terminal has a camera. The mobile terminal transmits the first image data obtained by the imaging to the server based on the fact that the operating equipment is imaged by the camera in order to detect the operating state of the equipment. The server generates, based on the first image data, state information in which the operating state is represented by a numerical value. The server calculates, based on the state information, an amount of energy that is estimated to be consumed extra by the facility. The server creates report data of the energy saving diagnosis including the calculated energy amount as a diagnosis result.

  Preferably, the server calculates, based on the state information, an energy amount estimated to be excessively consumed by the facility and an energy amount after the energy saving measure. The energy-saving diagnosis report data includes, as a diagnosis result, the calculated energy amount estimated to be excessively consumed by the facility and the calculated energy amount after the energy-saving measures.

  Preferably, the installation has a meter in analog or digital form. The first image data is meter image data. The status information is an indicated value of the meter.

  Preferably, the equipment has a valve and an opening meter indicating the opening of the valve. The first image data is image data of an opening meter. The state information is the indicated value of the opening meter.

  Preferably, the installation has a gate valve whose flow varies with the position of the spindle. The first image data includes image data of the spindle. The status information is the position of the spindle.

  Preferably, the mobile terminal further transmits the second image data obtained by the imaging to the server based on that the nameplate of the facility is further imaged by the camera. On the nameplate, identification information of the equipment is described. The server specifies the type of the facility based on the identification information. The server calculates an energy amount by executing a calculation process associated with the specified type.

  Preferably, the mobile terminal is equipped with an infrared thermography camera for measuring the surface temperature of the object. The mobile terminal further transmits the measurement result to the server based on the measurement of the surface temperature of the facility by the infrared thermography camera. The server further calculates the surface area of the facility based on the first image data. The server generates state information based on the calculated surface area and the measurement result.

  Preferably, the mobile terminal receives at least one input of the name of the facility and information relating to the operation of the facility as audio information. The mobile terminal transmits the input voice information to the server. The server calculates an energy amount estimated to be excessively consumed in the facility based on the voice information and the state information.

  Preferably, the mobile terminal further includes a self-propelled robot that operates the mobile terminal. The self-propelled robot travels to the facility position based on the designation of the facility, and operates the mobile terminal at the position to image the facility.

  According to another aspect of the present disclosure, an energy saving diagnostic system includes a mobile terminal and a server. An ultrasonic sensor for detecting the operation state of the equipment is connected to the mobile terminal. The mobile terminal transmits the sound data obtained by the sound collection to the server based on the sound generated by the facility being collected by the ultrasonic sensor. The server generates, based on the sound data, state information in which the operating state is represented by a numerical value. The server calculates, based on the state information, an energy amount estimated to be excessively consumed by the facility and an energy amount after energy saving measures. The server creates report data of the energy saving diagnosis including the calculated energy amount as a diagnosis result.

  According to still another aspect of the present disclosure, an energy saving diagnostic system includes a mobile terminal and a server. The mobile terminal has a microphone. The mobile terminal transmits the sound data obtained by the sound collection to the server based on the fact that the utterance related to the operation state of the facility is collected by the microphone. The server generates, based on the audio data, state information indicating the operation state by a numerical value. The server calculates, based on the state information, an energy amount estimated to be excessively consumed by the facility and an energy amount after energy saving measures. The server creates report data of the energy saving diagnosis including the calculated energy amount as a diagnosis result.

  Preferably, the server transmits the created report data to an address registered in advance by e-mail.

  According to still another aspect of the present disclosure, an energy saving diagnosis method includes a step in which a mobile terminal captures an image of an operating facility in order to detect an operating state of the facility, and a step in which the server performs processing on image data obtained by the imaging. A step of generating state information in which the operating state is expressed numerically, and a step of the server calculating an amount of energy that is estimated to be excessively consumed in the facility based on the state information. Generating report data of the energy saving diagnosis including the energy amount as the diagnosis result.

  According to still another aspect of the present disclosure, the program is based on that the operating equipment is imaged by the camera to detect the operating state of the equipment, receiving image data obtained by the imaging, A step of generating state information representing a numerical value of the operation state based on the image data; a step of calculating an amount of energy estimated to be excessively consumed by the facility based on the state information; and a step of calculating the calculated amount of energy. Generating the report data of the energy-saving diagnosis including the diagnostic result as a result of the diagnosis.

  According to the present disclosure, it is possible to further shorten the period required from the start of a field survey to the creation of a report.

It is a figure for explaining a schematic structure of an energy saving diagnostic system. It is a figure for explaining a tablet terminal and a device connected to a tablet terminal. It is a figure showing one aspect of a field survey in simple diagnosis. FIG. 3 is a diagram illustrating an example of a subject imaged by a camera. FIG. 9 is a diagram illustrating another example of a subject imaged by a camera. It is the figure showing the state which is investigating the piping of equipment. This shows a state where the piping of the facility is being measured by the ultrasonic sensor 5. This shows a state in which voice input is being performed on the tablet terminal. FIG. 9 is a diagram for describing an outline of processing of a server. It is a flow chart showing the whole flow of processing of simple diagnosis. FIG. 11 is a flowchart illustrating a specific example of a process of step S13 in FIG. 10. It is a figure for explaining a detailed flow of processing performed in an energy saving diagnostic system. It is a figure for explaining the detailed flow of other processings performed in an energy saving diagnostic system. FIG. 4 is a flowchart illustrating a flow of a process for obtaining a diagnosis result for a pump. It is a figure showing the input screen of common information. It is a figure showing the selection screen of the equipment menu. It is a figure showing the input screen of equipment information. FIG. 7 is a diagram illustrating an example of a diagnosis result displayed on the tablet terminal. It is a figure showing the detail of the item of the measure. It is the figure showing the detail of the item of the examination result. FIG. 3 is a block diagram illustrating a functional configuration of the tablet terminal. FIG. 3 is a block diagram illustrating a functional configuration of a server. FIG. 3 is a diagram illustrating a typical example of a hardware configuration of a server. FIG. 3 is a diagram illustrating a typical example of a hardware configuration of a tablet terminal.

  Hereinafter, an energy-saving diagnostic system according to each embodiment of the present invention will be described with reference to the drawings. In the following description, the same members are denoted by the same reference numerals. Their names and functions are the same. Therefore, detailed description thereof will not be repeated.

  In the following, of the simple diagnosis (preliminary diagnosis) and the detailed diagnosis in the energy-saving diagnosis, processing relating to the simple diagnosis will be described. The definition of the simple diagnosis (simple energy-saving diagnosis) is defined by the “ESCO / Energy Management Promotion Council” and the like, and will not be repeated here.

  The report data (report) transmitted to the client typically includes the diagnosis result of the energy saving diagnosis and other accompanying information. For example, as accompanying information, consultation item name, diagnosis date and time, diagnosis place, diagnosis target equipment name, client name, consultant name, consultation company name, reference data (for example, graph of performance curve of target equipment), report Various information such as a creation date is included.

<A. Overview>
FIG. 1 is a diagram for explaining a schematic configuration of an energy-saving diagnostic system 1 according to the present embodiment.

  Referring to FIG. 1, the energy saving diagnosis system 1 is configured to include, as an example, at least servers 2A and 2B in the cloud 2 and a tablet terminal 3 as an example of a mobile terminal. The server 2A is a management server, and the server 2B is a Web server. In this example, two servers 2A and 2B are described, but the number of servers configuring the energy saving diagnostic system 1 is not limited to two.

  Although details will be described later, the tablet terminal 3 is used in a field survey for a simple diagnosis. That is, the tablet terminal 3 is used by a consultant at a site (field) where the equipment is installed. The tablet terminal 3 communicates with the servers 2A and 2B in the cloud 2 via the base station 9 and the network NW.

  The PC 4 is typically a terminal device of a client who has requested consulting. The PC 4 receives report data including the diagnosis result of the simple diagnosis from the server 2A via the server 2B and the network NW.

  Hereinafter, processing between the servers 2A and 2B and the tablet terminal 3 will be mainly described. Specifically, the processing from the field survey to the creation of report data will be mainly described. Note that the server 2B is a Web server as described above, and among the processes executed in the cloud 2, characteristic processes according to the present embodiment are executed by the server 2A.

  FIG. 2 is a diagram for explaining the tablet terminal 3 and devices connected to the tablet terminal 3.

  Referring to FIG. 2, tablet terminal 3 includes camera 359 on the back surface of the housing. Further, the tablet terminal 3 includes a microphone 360 and a speaker 361. The energy-saving diagnostic system 1 includes an ultrasonic sensor 5 and an infrared thermography camera 6 as a temperature sensor as the above devices.

  The ultrasonic sensor 5 detects an ultrasonic wave emitted from the equipment. The detection result (sound data) by the ultrasonic sensor 5 is sent to the server 2A via the tablet terminal 3.

  The infrared thermography camera 6 measures the surface temperature of the equipment. The detection result (image data) by the infrared thermography camera 6 is sent to the server 2A via the tablet terminal 3.

  Note that, in the present example, a configuration is described in which the ultrasonic sensor 5 and the infrared thermography camera 6 are directly connected to the tablet terminal 3, but the present invention is not limited to this. For example, each of the ultrasonic sensor 5 and the infrared thermography camera 6 may communicate with the server 2A in the cloud 2 via a gateway (not shown). Further, the tablet terminal 3 may have (built-in) an ultrasonic sensor and an infrared thermography camera.

  FIG. 3 is a diagram showing one aspect of a field survey (walk-through survey) in a simple diagnosis. FIG. 4 is a diagram illustrating an example of a subject imaged by the camera 359. FIG. 5 is a diagram illustrating another example of the subject imaged by the camera 359.

  As illustrated in FIG. 3A, the consultant takes an image of the operating facility 701 with the camera 359 of the tablet terminal 3 in order to detect the operating state of the facility 701. For example, as shown in FIG. 4A, the consultant images the dial of the analog meter 711 of the facility 701 as a subject. The tablet terminal 3 transmits the image data obtained by the imaging to the server 2A.

  Further, as shown in FIG. 3B, the consultant takes an image of the operating facility 702 with the camera 359 of the tablet terminal 3 in order to detect the operating state of the facility 702. For example, as illustrated in FIG. 4B, the consultant captures an image of the dial of the valve opening meter 713 provided in the facility 702 as a subject.

  Further, as shown in FIG. 5, the consultant takes an image of a nameplate 714 installed on the surface of the facility 702 as a subject. The tablet terminal 3 transmits the image data obtained by the imaging to the server 2A. The nameplate 714 describes various information such as equipment identification information and rated output.

  In the case where the facilities 701 and 702 have digital meters, the consultant takes an image of the display unit of the digital meter 712 as a subject in order to detect the operation state of the facility 701 as shown in FIG.

  FIG. 6 is a diagram illustrating a state in which a consultant (not shown) is investigating the pipe 715 of the facility 701 (or the facility 702).

  FIG. 6A illustrates a state in which a consultant (not illustrated) is capturing an image of the surface of the pipe 715 with the camera 359 of the tablet terminal 3. The reason for imaging the surface of the pipe 715 is to obtain the surface area of the pipe 715. FIG. 6B shows a state in which a consultant (not shown) is measuring the surface temperature of the pipe 715 with the infrared thermography camera 6.

  Image data of the pipe 715 taken by the camera 359 is transmitted from the tablet terminal 3 to the server 2A. The measurement result (specifically, image data indicating the temperature distribution) obtained by the infrared thermography camera 6 is transmitted to the server 2A via the tablet terminal 3.

  FIG. 7 shows a state in which the pipe 715 of the facility 701 (or the facility 702) is being measured by the ultrasonic sensor 5.

  The ultrasonic sensor 5 collects sound emitted from the pipe 715 of the facility 701 (or the facility 702). The sound data obtained by the sound collection is transmitted by the tablet terminal 3 to the server 2A. By the measurement (inspection) by the ultrasonic waves, for example, an air leak or the like can be detected.

  FIG. 8 illustrates a state in which the consultant is performing voice input to the tablet terminal 3.

  For data that is difficult to collect using devices (imaging by camera 359, detection by ultrasonic sensor 5, detection by infrared thermography camera 6, etc.), the user uses voice input as an auxiliary input method. . The voice of the consultant collected by the microphone 360 of the tablet terminal 3 is sent to the server 2A.

  For example, the name of the facility, the number of facilities, unit price information of gas and water charges used by the client, and the like are input by voice. An example of the information input by voice will be described separately with reference to the screen of the tablet terminal 3.

  The information input by the consultant by voice is not limited to information for which data collection using a device is difficult. For example, the configuration may be such that the consultant reads the value of the analog meter with his own eyes and inputs the read value by voice.

  As described above, from the tablet terminal 3 to the server 2A, the image data obtained by the camera 359 and the infrared thermography camera 6, the sound data obtained by the ultrasonic sensor 5, and the voice data obtained by the voice input to the tablet terminal 3 are obtained. The transmitted audio data is transmitted to the server 2A.

  The image data and the sound data described above are examples, and various image data and sound data are transmitted to the server 2A according to the type of the facility. What kind of subject is imaged by the consultant and what kind of equipment is measured by the ultrasonic sensor 5 differs depending on the type of equipment.

FIG. 9 is a diagram for explaining an outline of the processing of the server 2A.
Referring to FIG. 9, server 2A receives image data and executes image processing (S1A). Note that, as described above, examples of the image data include the image data obtained by the camera 359 and the image data obtained by the infrared thermography camera 6. Thereby, the server 2A obtains numerical data (state information). When the image data is the image data of the nameplate, the server 2A obtains the character data. An example of the image processing will be described later.

  The server 2A receives the sound data and executes an analysis process (S1B). Note that, as described above, the sound data obtained by the ultrasonic sensor 5 is an example of the sound data. The analysis processing includes frequency analysis. The server 2A receives the voice data and performs a voice recognition process (S1C).

  The server 2A determines the energy loss of the facility to be diagnosed (for example, the facility 701 or the facility 702) based on at least one of the above-described numerical data (state information) and the numerical data (state information) obtained by voice recognition. Calculation is performed (S2). Specifically, the server 2A stores a calculation program (calculation PG) for executing a simple diagnosis, and energy loss is output by inputting numerical data and the like to the calculation program. Specifically, the server 2A calculates the amount of energy that is estimated to be consumed extra by the facility to be diagnosed. Furthermore, the server 2A calculates the energy amount after the energy saving measure based on the energy amount estimated to be consumed extra by the diagnostic target facility.

  In calculating the energy loss, data (for example, a performance curve) on the equipment provided by the equipment maker of the equipment to be diagnosed or the “Energy Conservation Center” can be used. Since the calculation uses a conventionally known method, the details of the processing in step S2 will not be described in the present embodiment.

  Further, when receiving the image data of the nameplate 714, the server 2A identifies the type of the facility based on the identification information of the facility described on the nameplate 714, and performs an arithmetic process (corresponding to the identified type) By executing an arithmetic program corresponding to the equipment, the energy loss in the equipment can be calculated.

  After calculating the energy loss, the server 2A automatically creates the energy saving diagnosis report data based on the calculation result (S3). Specifically, the server 2A automatically creates the energy-saving diagnosis report data including the calculated energy loss (the amount of energy that is estimated to be excessively consumed in the facility) as a diagnosis result. More specifically, the server 2A automatically creates report data including, as a diagnosis result, an energy amount estimated to be excessively consumed in the facility and an energy amount after energy saving measures.

  The server 2A transmits the automatically created report data (report) to the client (S4). More specifically, server 2A transmits the report data by e-mail to a pre-registered destination. In the case of this example, the report data is browsed and output by, for example, the PC 4.

(Brief Summary)
As described above, the energy-saving diagnostic system 1 includes the tablet terminal 3 and the server 2A. The tablet terminal 3 and the server 2A execute the following processes (1) to (3).

  (1) The tablet terminal 3 has a camera 359. The tablet terminal 3 transmits the image data obtained by the imaging or the image data obtained by the infrared thermography camera 6 to the server based on the fact that the operating equipment is imaged by the camera 359 in order to detect the operation state of the equipment. Send to 2A.

  The server 2 </ b> A generates numerical data (state information) representing the operating state by numerical values based on the image data sent from the tablet terminal 3. In addition, the server 2A calculates the amount of energy estimated to be excessively consumed in the facility based on the state information. Further, the server 2A automatically creates the energy saving diagnosis report data including the calculated energy amount as the diagnosis result.

  According to such a system configuration, just by the consultant taking an image of the facility with the camera 359, the server 2A makes the server 2A report data (report) including the amount of energy estimated to be excessively consumed in the facility as a diagnostic result. Automatically create

  Therefore, it is not necessary for the consultant to check the state of the equipment by himself / herself (for example, to read a numerical value) and to manually input data obtained by the check into the tablet terminal. In addition, report data can be created without the consultant bringing the tablet terminal 3 back to the company. Therefore, the time required from the start of the field survey to the preparation of the report can be made shorter than before.

  The state information is, for example, an indicated value of an analog meter, an indicated value of a digital meter, or an indicated value of a valve opening meter.

  (2) The tablet terminal 3 is connected with an ultrasonic sensor 5 for detecting the operation state of the equipment. The tablet terminal 3 transmits the sound data obtained by the sound collection to the server 2A based on the sound generated by the facility being collected by the ultrasonic sensor 5.

  The server 2 </ b> A generates numerical data (state information) representing the operating state by numerical values based on the sound data transmitted from the tablet terminal 3. In addition, the server 2A calculates the amount of energy estimated to be excessively consumed in the facility based on the state information. The server 2A automatically creates the report data of the energy saving diagnosis including the calculated energy amount as the diagnosis result.

  According to such a system configuration, only when the consultant collects the sound of the facility using the ultrasonic sensor 5, the server 2A reports the amount of energy estimated to be excessively consumed in the facility as a diagnostic result. Automatically create data (reports).

  Therefore, it is not necessary for the consultant to check the measurement result by the ultrasonic sensor 5 by himself / herself (for example, to read a numerical value) and to manually input data obtained by the check into the tablet terminal. In addition, report data can be created without the consultant bringing the tablet terminal 3 back to the company. Therefore, the time required from the start of the field survey to the preparation of the report can be made shorter than before.

  (3) The tablet terminal 3 has the microphone 360. The tablet terminal 3 transmits the audio data obtained by the sound collection to the server 2A based on the fact that the utterance related to the operation state of the facility is collected by the microphone 360.

  The server 2 </ b> A generates numerical data (state information) representing the operating state by numerical values based on the audio data transmitted from the tablet terminal 3. The server 2A calculates the amount of energy estimated to be excessively consumed in the facility based on the state information. The server 2A automatically creates the report data of the energy saving diagnosis including the calculated energy amount as the diagnosis result.

  According to such a system configuration, the server 2A includes, as a diagnosis result, the amount of energy estimated to be excessively consumed in the facility only by the consultant collecting the utterance relating to the operation state of the facility by the microphone 360. Automatically create report data (report).

  Therefore, it is not necessary for the consultant to manually input data obtained by confirming the equipment into the tablet terminal. In addition, report data can be created without the consultant bringing the tablet terminal 3 back to the company. Therefore, the time required from the start of the field survey to the preparation of the report can be made shorter than before.

<B. Details of processing flow>
First, the overall flow of the simple diagnosis process including the process of the server 2A described above will be described. Thereafter, the flow of processing in each phase of the simple diagnosis will be described with a specific example.

(B1. Overall flow)
FIG. 10 is a flowchart showing the overall flow of the simple diagnosis process.

  Referring to FIG. 10, in step S11, tablet terminal 3 accepts a voice input by a consultant. In step S11, for example, information for identifying the client, the location of the simple diagnosis, the date and time of the simple diagnosis, and information obtained by the consultant in advance among the client information may be input.

  In step S12, the tablet terminal 3 accepts the facility selection process by the consultant. An input example in step S12 will be described later (FIG. 16).

  In step S13, input processing of information (diagnosis information) used for diagnosis is performed using the tablet terminal 3. For example, as described above, input of image data using the camera 359 or the like, input of sound data using the ultrasonic sensor 5, and voice input using the microphone 360 are performed. Each input data is sequentially transmitted from the tablet terminal 3 to the server 2A.

  In step S14, the server 2A calculates an energy loss based on various data transmitted from the tablet terminal 3. In step S15, the server 2A outputs an energy diagnosis report (report data). In the case of the example of FIG. 1, the server 2A transmits the report data to the PC 4.

(B2. Input operation based on voice guidance)
FIG. 11 is a flowchart showing a specific example of the process of step S13 in FIG. Specifically, FIG. 11 shows a case where a plurality of facilities 702 (specifically, pumps) as shown in FIG. 3B are selected as the facilities in step S12 of FIG.

  More specifically, FIG. 11 mainly shows a guidance process for guiding the operation of a consultant. Therefore, in FIG. 11, the description of the communication between the tablet terminal 3 and the server 2A is omitted. Note that the voice input shown in FIG. 11 is typically performed by a consultant.

  Referring to FIG. 11, in step S21, tablet terminal 3 uses speaker 361 to make an utterance saying "Please input the number of pumps." In step S22, the tablet terminal 3 receives a voice input for the number of pumps (N units) such as “○○○ units” using the microphone 360.

  In step S23, the tablet terminal 3 utters "Please enter the name of the pump". In step S24, the tablet terminal 3 accepts a voice input of the name of the pump, such as “Pump”.

  In step S25, the tablet terminal 3 utters "Please image the nameplate of the pump". In step S26, the name plate 714 is imaged by the consultant as shown in FIG. When the imaging of the nameplate 714 is completed, in step S27, the tablet terminal 3 utters "Pump nameplate data has been accepted".

  In step S28, the tablet terminal 3 makes an utterance saying, "Please image the opening meter of the outlet valve of the pump." In step S29, as shown in FIG. 4B, the consultant images the opening meter 713 (specifically, the dial). When the imaging of the opening meter 713 is completed, in step S30, the tablet terminal 3 utters "Accepting the data of the opening meter".

  If the server 2A determines that there is no pump to be input-processed, the tablet terminal 3 proceeds to step S31 where the tablet terminal 3 reads "All pumps have been input. Please move on to the next facility. " Thereafter, the consultant moves to the installation position of another facility (for example, the facility 701 shown in FIG. 3A). On the other hand, when the server 2A determines that there is a pump to be input-processed, the tablet terminal 3 utters "move to the next pump and enter the pump name" in step S32. . After step S32, the tablet terminal 3 advances the process to step S24.

  When step S22 is completed, the tablet terminal 3 transmits the number of pumps to the server 2A. Thereby, the server 2A can know the total number of pumps to be imaged. Further, the tablet terminal 3 displays the number of pumps on the screen of the tablet terminal 3 (see FIG. 17). Further, each time step S24 is completed, the tablet terminal 3 transmits the name of the pump to the server 2A. In addition, the tablet terminal 3 displays the name of the pump on the screen of the tablet terminal 3 (see FIG. 17). Further, the tablet terminal 3 transmits the image data obtained by the imaging in steps S26 and S29 to the server 2A each time.

(B3. Processing of image data)
The server 2A generates numerical data (state information) by performing image processing on the image data as shown in step S1A of FIG. Thereafter, the server 2A calculates the energy loss based on the numerical data (S2), and automatically creates and transmits the report data (S3, S4). Hereinafter, the details of this series of processing will be described with reference to FIG.

  FIG. 12 is a diagram for explaining a detailed flow of processing executed in the energy saving diagnostic system 1. Specifically, FIG. 12 is a diagram mainly illustrating a phase in which numerical data is generated from image data, a phase in which energy loss is calculated from the generated numerical data, and a phase in which report data is transmitted to the PC 4. is there.

  Referring to FIG. 12, image data of an image captured by camera 359 and image data of an image captured by infrared thermography camera 6 are transmitted from tablet terminal 3 to cloud 2 (specifically, server 2A). Is performed (S101). These image data are stored in the image data DB 291 of the server 2A.

  Thereafter, different processes (S110, S120, S130, S140) are executed according to the type of image data (specifically, the type of the subject). For example, when the image of the opening meter 713 is captured in step S29 of FIG. 11, the tablet terminal 3 can recognize that the obtained image data is the image data of the opening meter 713. Therefore, the tablet terminal 3 adds the identification information of the opening meter 713 to the image data and transmits the image data to the server 2A, whereby the server 2A can determine which processing should be executed.

  The server 2A also executes a surface area calculation process (S110) for calculating the surface area based on the image data. Specifically, as shown in FIG. 6A, when the surface of the pipe 715 is imaged, the surface area calculation processing is executed. This processing is typically executed in combination with the thermal image processing (S120) from the viewpoint of calculating the energy loss due to heat radiation.

  Thermal image processing (S120) is performed on the image data obtained by the infrared thermography camera 6. Meter image processing (S130) is performed on digital meter image data, nameplate image data, and the like.

  Analog meter image processing (S140) is performed on the analog meter image data. The processes other than steps S141, S142, and S143 included in step S140 have been performed in advance.

Hereinafter, steps S110, S120, S130, and S140 will be described in this order.
Step S110 includes three steps S111, S112, and S113. In step S111, the server 2A detects a vertex of an object (for example, the pipe 715) included in the image data. In step S112, the server 2A calculates the length of each side of the object. In step S113, the surface area of the target object is calculated based on the coordinates of the vertices and the length of the side. The server 2A stores the calculated surface area in the processing result data DB 292.

  Step S120 includes two steps S121 and S122. In step S121, the server 2A performs a correction process on the obtained image data. In step S122, the server 2A analyzes the corrected image data and calculates the surface temperature of the object (for example, the pipe 715). The server 2A stores the calculated surface temperature in the processing result data DB 292.

  Step S130 includes three steps S131, S132, and S133. In step S131, the server 2A cuts out characters from the image data. In step S132, the server 2A performs character recognition on the extracted characters. In step S133, server 2A performs knowledge processing. The “knowledge process” is a process of correcting a recognized character by correlating a standard character registered in advance with a character having a low recognition rate. Thereby, highly accurate recognition becomes possible.

  The server 2A stores the recognized character as text data (character data or numerical data) in the processing result data DB 292. For example, server 2A stores the characters described on nameplate 714 (see FIG. 5) as character data in processing result data DB 292. Further, the server 2A stores the number displayed on the digital meter (see FIG. 4C) as numerical data in the processing result data DB 292.

  Step S140 includes three steps S141, S142, and S143 as steps executed in real time. In executing the analog meter image processing, the master of the analog meter is registered in another server (not shown), and the server 2A acquires the master data via the server 2B functioning as a Web server. The master data is stored in the master data DB 293 in advance. The master data is stored in the master data DB 293 for each analog meter model.

  As described above, the reason that the server 2A acquires the master data for each analog meter is that the measurement range and the memory position are different for each meter, and the indicated value of the needle cannot be grasped only by the rotation angle of the needle of the analog meter. .

  In step S141, the server 2A performs front correction on the image data. Specifically, server 2A corrects the image using the image correction program so that the dial of the analog meter faces the front.

  In step S142, the server 2A detects the rotation angle of the hand based on the image data after the front correction has been performed. In step S143, an instruction value indicated by the rotation angle of the hand is calculated with reference to the master data DB 293. In calculating the indicated value, by notifying the server 2A of the type of the analog meter in advance, the master data of the analog meter can be acquired from the master data DB 293. The server 2A stores the calculated instruction value in the processing result data DB 292 as numerical data.

  Processing result data such as numerical data can be displayed on the tablet terminal 3 by the Web server 2B (S104).

  The server 2A has an energy-saving diagnosis engine 250. The energy-saving diagnosis engine 250 has the above-described calculation PG 251 and a diagnosis result DB 252. The calculation PG 251 calculates an energy loss based on numerical data stored in the processing result data DB 292 or the like. In the case of the example shown in FIG. 6, the calculation PG 251 calculates the energy loss based on the calculated surface area and the measured surface temperature (measurement result). The calculation PG 251 stores the calculated energy loss in the diagnosis result DB 252.

  The report data including the diagnosis result can be displayed on the tablet terminal 3 by the Web server 2B (S105). The report data including the diagnosis result can be displayed on the PC 4 by the Web server 2B. The PC 4 that has received the report data displays the report data as an energy diagnosis report (S106).

  Note that the image data DB 291 and the processing result data DB 292 typically exist in the server 2A. However, the present invention is not limited to this, and the image data DB 291 and the processing result data DB 292 may exist in another server (not shown).

(B4. Processing of sound data and voice data)
The server 2A generates numerical data (state information) by performing an analysis process on the sound data as shown in step S1B of FIG. Further, the server 2A performs a voice recognition process on the voice data as shown in step S1C of FIG.

  FIG. 13 is a diagram for explaining a detailed flow of another process executed in the energy saving diagnostic system 1. Specifically, FIG. 13 mainly shows a phase in which numerical data is generated from sound data, a phase in which speech is recognized from voice data, a phase in which energy loss is calculated from the generated numerical data and voice recognition results, and report data. FIG. 9 is a diagram for explaining a situation of transmitting to PC4.

  Referring to FIG. 13, sound data detected by ultrasonic sensor 5 is transmitted via tablet terminal 3 to energy-saving diagnosis engine 250 in server 2A. Air leaks can be detected from the sound data.

  The voice data collected by the microphone 360 is converted into text data (character data, numerical data) by the voice recognition engine 260. The text data is sent to the energy-saving diagnosis engine 250.

  The energy saving diagnosis engine 250 calculates the energy loss using the sound data. The energy-saving diagnosis engine 250 calculates the energy loss using the text data.

  Report data including the diagnosis result can be displayed on the PC 4 by the Web server 2B. The report data including the diagnosis result can also be displayed on the tablet terminal 3 by the Web server 2B. In the PC 4 receiving the report data, the report data is displayed as an energy diagnosis report. The report data may be displayed on another tablet terminal (not shown) other than the tablet terminal 3 (specifically, a terminal communicably connected to the servers 2A and 2B by a login operation or the like).

  In the above description, the calculation of the energy loss based on the image data and the calculation of the energy loss based on the sound data or the sound data are described separately. However, the data used for calculating the energy loss is determined according to the type of the target equipment. Have been. More specifically, the energy-saving diagnosis engine 250 calculates the energy loss using at least one of the processing result data, the sound data, and the text data shown in FIG. I do. That is, the energy saving diagnosis engine 250 performs an energy saving diagnosis.

(B5. Specific example)
The processing performed when calculating the energy loss in the pump will be described using a more specific example. FIG. 14 is a flowchart showing a flow of a process for obtaining a diagnosis result for the pump.

  Referring to FIG. 14, in step S301, server 2A refers to processing result data DB 292, and outputs the pump motor output, the total head (calculated from the indicated value of the pressure gauge at the pump inlet / outlet), the rated flow rate, and the opening of the valve. The numerical data of the degree is input to the calculation PG 251 shown in FIG. The information on the rated flow rate can be obtained, for example, by imaging the nameplate 714. In step S302, the server 2A inputs the actual head into the calculation PG251.

In step S303, the computation PG 251 of the server 2A acquires the PQ characteristics from the pump characteristics master DB 294, and calculates the current flow rate from the PQ characteristics and the total head. Note that “P” in the PQ characteristic is the shaft power (kW), and “Q” is the discharge rate (m ³ / min).

  In step S304, the calculation PG251 sets the calculated current flow rate as a required circulation flow rate. In step S305, the calculation PG 251 outputs the required circulation flow rate, the actual head, and the PQ characteristics. In step S306, the calculation PG 251 calculates a pipe resistance curve with reference to an LCEM (Life Cycle Energy Management) DB 295, performs water supply control by an inverter, and calculates the power consumption when the flow rate is reduced. The calculation PG 251 calculates the flow rate when the valve is fully opened (when the valve is fully opened) from the current valve opening degree and the flow rate characteristic of the valve (for example, Cv value), and calculates the pipe resistance curve when the valve is fully opened. Calculate the electric energy when water supply control is performed up to the current flow rate by the inverter. The calculation result is stored in the diagnosis result DB 252, and the series of processing ends.

<C. User Interface (UI)>
Various screen examples (UI examples) displayed on the tablet terminal 3 will be described.

  FIG. 15 is a diagram showing an input screen for common information. Referring to FIG. 15, a plurality of input frames (cells) are displayed on the screen. A pull-down or voice input is performed for an input frame 1501 for a unit price of city gas, an input frame 1502 for a unit price of water supply, and an input frame 1503 for a unit price of industrial waste treatment. Typically, the consultant confirms this information with the client at the site, and then the consultant speaks the information. Note that input frames 1501, 1502, and 1503 hatched by dots correspond to yellow cells, and the other input frames correspond to white cells.

  For other input frames (white cells), default values are automatically input. The consultant changes the value of the white cell as needed.

  When the consultant selects button 1504, tablet terminal 3 causes the display screen to transition to the next screen.

  FIG. 16 is a diagram showing a selection screen of the equipment menu. Specifically, FIG. 16 shows an input screen displayed when the button 1504 is selected in FIG.

  Referring to FIG. 16, the consultant selects a target facility from a plurality of displayed items (objects). The selection operation can be performed by a touch operation or a voice input. In this example, the state after the item 1603 of the pump is selected is shown.

  FIG. 17 is a diagram showing a screen for inputting facility information. Specifically, FIG. 17 shows an input screen displayed based on the selection of the item 1603 in FIG. Referring to FIG. 17, the input screen for the equipment information includes a plurality of input frames 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708.

  For the input frames 1701 to 1704, after conducting a hearing with the client, the consultant inputs each data by voice. These voice inputs are performed in accordance with voice guidance as described with reference to FIG. The input frame 1701 is a cell for inputting the name of a pump, and the input frame 1702 is a cell for inputting the number of pumps. The input frame 1703 is a cell for inputting the operating time per day of the target facility, and the input frame 1704 is a cell for inputting the number of operating days per year of the target facility.

  The input frames 1705 to 1708 are input based on images captured by the camera 359. That is, the server 2A generates numerical data based on the image data, and the generated numerical data is displayed on the tablet terminal 3. That is, in the input frames 1705 to 1708, data from the server 2A is input and displayed.

  The input frame 1705 is a cell for inputting the output of the pump, and the input frame 1706 is a cell for inputting the total head of the pump. The input frame 1707 is a cell for inputting the flow rate of the pump, and the input frame 1708 is a cell for inputting the opening of the valve of the pump.

  After the input for all input frames 1701 to 1708 is completed, when the consultant selects a button 1709, a simulation result (diagnosis result) is displayed. Note that the diagnosis result is based on the energy loss calculated by the server 2A.

  The diagnosis result can be displayed on the tablet terminal 3. In addition, a report (report data) including the diagnosis result is transmitted from the tablet terminal 3 to the client PC 4 via the network NW (see FIG. 1). On PC4, a report is displayed.

FIG. 18 is a diagram illustrating an example of a diagnosis result displayed on the tablet terminal 3.
Referring to FIG. 18, tablet terminal 3 displays a diagnosis result obtained from server 2A. As an example, the tablet terminal 3 displays an item 1801 of the policy and an item 1802 of the examination result. The item 1801 has a current item and a policy item. The examination result item 1802 includes an item representing trial calculation conditions, an item (table) for explaining the reduction effect, and an item representing the economic effect of the countermeasure implementation.

  In FIG. 18, the diagnosis result itself is represented as “****” or “...”. More specifically, at least an item for describing the current description content in the item 1801, the description content of the measure in the item 1801, the description of two arrows in the graph in the item 1801, and the reduction effect in the item 1802 ( Of the descriptions in Table, the description contents of the current situation, countermeasure proposals and reduction effects, and items indicating the economic effects of implementing the countermeasures, represent the diagnosis results themselves.

  FIG. 19 is a diagram showing details of the item 1801 of the measure. With reference to FIG. 19, the current situation and the proposed measure are displayed, so that it is possible to grasp what kind of energy saving approach should be taken in the future.

  FIG. 20 is a diagram illustrating details of the item 1802 of the examination result. Referring to FIG. 20, by displaying the reduction effect and the economic effect by implementing the countermeasures from the viewpoint of economy and environment, it is possible to motivate the client to save energy. . In this example, the energy loss calculated by the calculation PG 251 is displayed as “reduction effect”.

  18, 19, and 20 have been described in the form in which the contents of the diagnosis result are displayed on the tablet terminal 3. The contents of the diagnosis result are also displayed on the client PC 4 as described above. Specifically, the report is transmitted to the PC 4 as a report including the diagnosis result, and is displayed on the PC 4.

<D. Functional configuration>
(D1. Tablet terminal 3)
FIG. 21 is a block diagram for explaining a functional configuration of the tablet terminal 3.

  Referring to FIG. 21, tablet terminal 3 includes control unit 30, a communication IF (Interface) 355, a camera 359, a microphone 360, a speaker 361, a display 3571, and a touch panel 3572.

  The control unit 30 controls the overall operation of the tablet terminal 3. The control unit 30 is typically realized by a processor such as a CPU executing an operation system and a program stored in a memory. The control unit 30 includes an imaging control unit 31, an audio input / output control unit 32, a display control unit 33, and a communication control unit 34.

  The imaging control unit 31 controls the operation of the camera 359. For example, the imaging control unit 31 activates the camera 359 based on a user operation via the touch panel 3572 to generate a through image. Note that this through image is displayed on the display 3571 by the display control unit 33. When a shooting instruction is input to the control unit 30 via the touch panel 3572, the imaging control unit 31 causes the camera 359 to capture a still image.

  The audio input / output control unit 32 controls the operation of the microphone 360. The audio input / output control unit 32 converts the collected audio (analog signal) into a digital signal. The audio input / output control unit 32 further controls the operation of the speaker 361. The voice input / output control unit 32 causes the speaker 361 to utter voice such as guidance.

  The display control unit 33 controls the display on the display 3571. The display control unit 33 causes the display 3571 to display various screens shown in FIGS. 15 to 18, for example.

  The communication control unit 34 controls the operation of the communication IF 355. Communication control unit 34 generates data (for example, a packet) to be transmitted to servers 2A and 2B. The generated data is subjected to predetermined signal processing by the communication IF 355, and then sent to the server 2A or the like via the network NW.

  In this example, the above-described image data, sound data, sound data, and the like are transmitted to the server 2A via the communication IF 355.

(D2. Server 2A)
FIG. 22 is a block diagram illustrating a functional configuration of server 2A.

Referring to FIG. 22, server 2A includes control unit 20 and communication IF 255.
The control unit 20 controls the overall operation of the server 2A. The control unit 20 is typically realized by a processor such as a CPU executing an operation system and a program stored in a memory. The control unit 20 includes an image processing unit 21, an analysis processing unit 22, an audio processing unit 23, an energy loss calculation unit 24, and a report data creation unit 25.

  The server 2A communicates with at least the tablet terminal 3 and the PC 4 using the communication IF 255. The control unit 20 receives the above-described image data, sound data, and sound data transmitted from the tablet terminal 3 via the network NW and the communication IF 255.

  The image processing unit 21 performs image processing on the image data, and acquires numerical data (state information) and character data as described above. That is, the image processing unit 21 executes the processing shown in step S1A of FIG. The image processing unit 21 sends the numerical data and the character data to the energy loss calculating unit 24.

  More specifically, the image processing unit 21 executes the processing of step S110, the processing of step S120, the processing of step S130, and the processing of steps S141, S142, and S143 of step S140 shown in FIG. I do.

  The analysis processing unit 22 performs an analysis process on the sound data, and acquires numerical data (state information) as described above. That is, the analysis processing unit 22 executes the processing shown in step S1B of FIG. The analysis processing unit 22 sends the numerical data to the energy loss calculation unit 24.

  The voice processing unit 23 performs a voice recognition process on the voice data, and sends the recognition result to the energy loss calculation unit 24 as described above. That is, the audio processing unit 23 executes the processing shown in step S1C of FIG. The voice processing unit 23 is specifically realized as the voice recognition engine 260 shown in FIG.

  The energy loss calculator 24 calculates an amount of energy (ie, energy loss) estimated to be excessively consumed in the facility based on numerical data, character data, and the like. The calculated energy loss is sent to the report data creation unit 25. Note that the energy loss calculator 24 corresponds to the calculation PG 251 of the energy saving diagnosis engine 250.

  The energy loss calculating unit 24 includes numerical data obtained from the image processing unit 21, character data obtained from the image processing unit 21, numerical data obtained from the analysis processing unit 22, text data obtained from the audio processing unit 23 (numeric data or The energy loss is calculated by using at least one of the character data. Which data to use depends on the type of equipment to be diagnosed.

  The report data creation unit 25 automatically creates report data based on the calculated energy loss. The automatically created report data is transmitted to the PC 4 or the like via the communication IF 255.

<E. Hardware Configuration>
FIG. 23 is a diagram illustrating a typical example of the hardware configuration of the server 2A.

  Referring to FIG. 23, server 2A includes, as main components, processor 251 for executing a program, ROM 252 for storing data in a nonvolatile manner, and data or an input device generated by execution of the program by processor 251. A RAM 253 for volatilely storing data input through the HDD, an HDD 254 for nonvolatilely storing data, a communication IF 255, an operation key 256, a power supply circuit 257, and a display 258 are included. Each component is mutually connected by a data bus. The communication IF 255 is an interface for performing communication with another device.

  The processing in the server 2A is realized by each hardware and software executed by the processor 251. Such software may be stored in the HDD 254 in advance. The software may be stored in another storage medium and distributed as a program product. Alternatively, the software may be provided as a downloadable program product by an information provider connected to the so-called Internet. Such software is temporarily stored in the HDD 254 after being read from the storage medium by the reading device or downloaded via the communication IF 255 or the like. The software is read from the HDD 254 by the processor 251 and stored in the RAM 253 in the form of an executable program. Processor 251 executes the program.

  Each component constituting the server 2A shown in the figure is a general one. Therefore, it can be said that an essential part of the present invention is software stored in the RAM 253, the HDD 254, the storage medium, or software downloadable via the network. Since the operation of each piece of hardware of server 2A is well known, detailed description will not be repeated.

  Since the server 2B and the PC 4 have the same configuration as the server 2A, the hardware configuration of the server 2B and the PC 4 will not be described repeatedly.

FIG. 24 is a diagram illustrating a typical example of a hardware configuration of the tablet terminal 3.
Referring to FIG. 24, tablet terminal 3 includes, as main components, processor 351 for executing a program, ROM 352 for storing data in a nonvolatile manner, and data generated by processor 351 executing the program, or an input device. RAM 353 for volatilely storing data input via the USB, a flash memory 354 for nonvolatilely storing data, a communication IF 355, a power supply circuit 356, a touch screen 357, operation keys 358, and a camera 359. , A microphone 360, a speaker 361, and an antenna 362. The components 351 to 361 are mutually connected by a data bus.

  The touch screen 357 includes a display 3571 and a touch panel 3572. The antenna 362 is an antenna for the communication IF 355. Communication IF 355 performs, for example, a process of transmitting data to server 2A and a process of receiving data transmitted from server 2A. The touch screen 357 is a device for displaying various data and receiving an operation input.

  The processing in the tablet terminal 3 is realized by each hardware and software executed by the processor 351. Such software may be stored in the flash memory 354 in advance. The software may be stored in another storage medium and distributed as a program product. Alternatively, the software may be provided as a downloadable program product by an information provider connected to the so-called Internet. Such software is temporarily stored in the flash memory 354 after being read from the storage medium by the reading device or downloaded via the communication IF 355 or the like. The software is read from the flash memory 354 by the processor 351 and stored in the RAM 353 in the form of an executable program. Processor 351 executes the program.

  Each component constituting the tablet terminal 3 shown in the figure is a general one. Therefore, it can be said that an essential part of the present invention is the software stored in the RAM 353, the flash memory 354, the storage medium, or the software downloadable via the network. Note that the operation of each piece of hardware of the tablet terminal 3 is well known, and thus detailed description will not be repeated.

<F. Modification>
(1) In the above example, the case where the consultant acquires the image data, the sound data, the sound data, and the like using the tablet terminal 3, the ultrasonic sensor 5, and the infrared thermography camera 6 on site has been described. However, it is not limited to this. The energy-saving diagnostic system 1 may be configured to further include a self-propelled robot, and the robot may perform imaging processing, measurement processing, and the like instead of the consultant.

  In this case, the arrangement of the equipment in the facility of the client and the inspection order may be previously learned by the robot. In one aspect, based on the designation of the location of the facility, the robot may travel to the location of the facility by itself and operate the tablet terminal 3 at the location to image the facility. According to such a configuration, further automation can be realized.

  (2) In the above example, as shown in FIGS. 3B and 4B, a configuration in which the dial of the valve opening meter 713 provided in the facility 702 is imaged as a subject is taken as an example. explained. However, it is not essential for the valve to image the opening meter. For example, in the case of a gate valve, the gate valve itself may be imaged as a subject as described below.

  The gate valve has a handle and a spindle. The tip of the spindle is fixed to the handle. The lower end of the spindle is located inside the gate valve. As the user turns the handle, the position of the spindle changes. The flow rate of the fluid flowing from the gate valve is adjusted according to the position of the spindle.

  For example, when the gate valve is installed so that the direction of the spindle is vertical, when the handle is rotated in a predetermined direction, the position of the spindle moves upward, and the handle is moved in the opposite direction to the predetermined direction. When rotated in the direction, the position of the spindle moves downward.

  By imaging the gate valve (particularly, the tip of the spindle) having such a configuration, the server 2A can determine the position of the spindle. According to this, the server 2A can obtain numerical data (that is, state information) representing the operating state of the equipment by numerical values, similarly to the case of the opening meter 713. More specifically, the server 2A stores data indicating the relationship between the position of the spindle (typically, the position of the tip in the height direction) and the flow rate (output condition), so that the operating state of the equipment is stored. Can be obtained as numerical data.

  The embodiment disclosed this time is an exemplification, and is not limited to the above contents. The scope of the present invention is defined by the terms of the claims, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  1 Energy-saving diagnostic system, 2 cloud, 2A, 2B server, 3 tablet terminal, 5 ultrasonic sensor, 6 infrared thermography camera, 9 base station, 20, 30 control unit, 21 image processing unit, 22 analysis processing unit, 23 voice processing Unit, 24 energy loss calculation unit, 25 report data creation unit, 31 imaging control unit, 32 voice input / output control unit, 33 display control unit, 250 energy saving diagnosis engine, 251 calculation PG, 252 diagnosis result DB, 260 voice recognition engine, 291 image data DB, 292 processing result data DB, 293 master data DB, 294 pump characteristics master DB, 295 LCEMDB, 359 camera, 360 microphone, 361 speaker, 701, 702 equipment, 711 analog meter, 712 digital meter, 713 Meter, 714 nameplate, 715 piping, 1501, 1502, 1503, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708 Input frame, 1504, 1709 button, 1603, 1801, 1802 items, NW network.

Claims (14)

An energy-saving diagnostic system including a mobile terminal and a server,
The mobile terminal,
Have a camera,
Based on that the equipment being operated by the camera has been imaged to detect the operating state of the equipment, the first image data obtained by the imaging is transmitted to the server,
The server is
Based on the first image data, generating state information representing the operating state by a numerical value,
Based on the state information, calculate the amount of energy that is estimated to be consumed extra in the facility,
An energy-saving diagnostic system that creates energy-saving diagnostic report data including the calculated energy amount as a diagnostic result. Based on the state information, the server calculates an energy amount estimated to be excessively consumed in the facility and an energy amount after energy saving measures,
2. The report data of the energy saving diagnosis includes, as the diagnosis result, the calculated energy amount estimated to be excessively consumed in the facility and the calculated energy amount after the energy saving measure. An energy-saving diagnostic system according to item 1. The facility has an analog or digital meter,
The first image data is image data of the meter,
The energy-saving diagnostic system according to claim 1, wherein the state information is an indication value of the meter. The facility has a valve and an opening meter indicating the opening of the valve,
The first image data is image data of the opening meter,
The energy-saving diagnostic system according to any one of claims 1 to 3, wherein the state information is an indication value of the opening meter. The equipment has a gate valve whose flow rate changes according to the position of the spindle,
The first image data includes image data of the spindle,
The energy-saving diagnostic system according to any one of claims 1 to 3, wherein the status information is a position of the spindle. The mobile terminal,
Based on that the nameplate of the facility is further imaged by the camera, the second image data obtained by the imaging is further transmitted to the server,
On the nameplate, identification information of the equipment is described,
The server is
Identifying the type of the equipment based on the identification information,
The energy saving diagnostic system according to any one of claims 1 to 5, wherein the energy amount is calculated by executing a calculation process associated with the specified type. The mobile terminal is equipped with an infrared thermography camera for measuring a surface temperature of an object,
The mobile terminal further transmits a measurement result to the server based on the surface temperature of the facility being measured by the infrared thermography camera,
The server is
Based on the first image data, further calculate the surface area of the equipment,
The energy-saving diagnostic system according to claim 1, wherein the state information is generated based on the calculated surface area and the measurement result. The mobile terminal,
Receiving at least one input of the name of the facility and information relating to the operation of the facility as audio information;
Transmitting the input voice information to the server,
The energy saving diagnosis according to any one of claims 1 to 7, wherein the server calculates an amount of energy estimated to be excessively consumed in the facility based on the audio information and the state information. system. Further comprising a self-propelled robot operating the mobile terminal,
2. The self-propelled robot, based on the position of the equipment being designated, self-propelled to the position of the equipment, and operates the mobile terminal at the position to image the equipment. 9. The energy-saving diagnostic system according to any one of items 1 to 8. An energy-saving diagnostic system including a mobile terminal and a server,
The mobile terminal is connected with an ultrasonic sensor for detecting an operation state of the facility,
The mobile terminal transmits sound data obtained by the sound collection to the server based on that sound emitted by the facility is collected by the ultrasonic sensor,
The server is
Based on the sound data, generates state information representing the operating state by numerical values,
Based on the state information, calculate the amount of energy estimated to be excessively consumed in the facility, and the amount of energy after energy saving measures,
An energy-saving diagnostic system that creates energy-saving diagnostic report data including the calculated energy amount as a diagnostic result. An energy-saving diagnostic system including a mobile terminal and a server,
The mobile terminal,
Have a microphone,
Based on the fact that the utterance related to the operation state of the equipment is collected by the microphone, the sound data obtained by the sound collection is transmitted to the server,
The server is
Based on the audio data, generates state information representing the operating state by a numerical value,
Based on the state information, calculate the amount of energy estimated to be excessively consumed in the facility, and the amount of energy after energy saving measures,
An energy-saving diagnostic system that creates energy-saving diagnostic report data including the calculated energy amount as a diagnostic result.   The energy saving diagnostic system according to claim 1, wherein the server transmits the created report data to a destination registered in advance by e-mail. A mobile terminal imaging the facility in operation to detect an operation state of the facility;
Server, based on the image data obtained by the imaging, generating state information numerically indicating the operating state,
The server, based on the state information, calculating an amount of energy that is estimated to be consumed extra in the equipment,
The server generating report data of the energy saving diagnosis including the calculated energy amount as a diagnosis result. A step of receiving image data obtained by the imaging based on that the equipment being operated by the camera is imaged to detect an operation state of the equipment,
Based on the image data, generating state information numerically representing the operating state,
Based on the state information, calculating an amount of energy that is estimated to be consumed extra in the equipment,
Generating report data of an energy-saving diagnosis including the calculated energy amount as a diagnosis result.