Remote intelligent metrology method and system

Abstract

A remote intelligent metrology method and system. The method comprises: S0, calibration application and mailing of a blind sample of a reference material; S1, personnel identity authentication; S2, verification of information of a submitting organization and information of a submitted instrument; S3, verification of the blind sample of the reference material; S4, a video verification operation; S5, uploading of a measurement value of the submitted instrument; and S6, certificate authorization. An independent metrological calibration platform is established; on the basis of the platform, calibration application, mailing of a blind sample of a reference material and identity authentication are completed; a submitting customer operator of a metrology institution completes prerequisite work such as uploading information of a submitting organization and information of a submitted instrument again on the basis of the platform, and then uploads a serial number of the blind sample of the reference material to a cloud computing platform; the cloud computing platform retrieves a calibration value of a reference material corresponding to the uploaded serial number; under the guidance and video monitoring of metrology personnel of the metrology institution, the submitting customer operator uses an instrument under test to measure the blind sample of the reference material, obtains measurement data, and uploads same to the cloud computing platform; and the cloud computing platform automatically performs calculation to obtain an uncertainty, and generates a calibration certificate.

Description

Remote intelligent metering method and system

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 202311580991.0, filed on November 24, 2023, entitled “A Remote Intelligent Metering Method and System,” which is incorporated herein by reference in its entirety. Technical Field

[0003] The present invention relates to the field of measurement and calibration technology, and in particular to a remote intelligent measurement method and system. Background Art

[0004] The accuracy of instruments used for testing is prone to change during long-term use. Generally, customers are required to send the instruments to the testing agency, or the testing agency sends personnel to the site for measurement and calibration.

[0005] The process of sending instruments for inspection is cumbersome and time-consuming. At the same time, when dispatching personnel to the site for calibration, it is necessary to coordinate and arrange measurement and inspection personnel, which consumes a lot of manpower costs.

[0006] However, automated testing equipment operated by the client applying for testing offers advantages such as greater flexibility and shorter calibration cycles. Furthermore, relevant metrology personnel can participate remotely via the network, providing voice guidance and video monitoring to address potential errors during the calibration process. Therefore, based on current technology, using remote network communication to reduce the number of personnel dispatched to the site is a feasible technical solution.

[0007] Summary of the Invention

[0008] The purpose of the present invention is to provide a remote intelligent measurement method and system to solve the problem in the prior art that the process of sending instruments for inspection is cumbersome and consumes a lot of manpower costs.

[0009] In order to solve the above technical problems, the present invention specifically provides the following technical solutions:

[0010] A remote intelligent metering method comprises the following steps:

[0011] S0: Application for calibration and mailing of blind standard samples: The inspection personnel of the relevant inspection client upload the application for calibration and personnel information to the cloud server; the metrology personnel of the measurement unit access the corresponding calibration equipment library and standard material library based on the uploaded information, select the corresponding blind standard sample, and mail the blind standard sample to the inspection client operator of the measurement unit;

[0012] S1: Personnel identity authentication: The operator of the customer who submits the inspection arrives at the customer's unit and uses a personal terminal to perform double identity authentication and obtains authorization after passing the identity authentication;

[0013] S2: Verification of the inspection unit information and the inspection instrument information: The inspection client operator uses the personal terminal to upload the inspection unit information and the inspection instrument information to the cloud server for verification;

[0014] S3: Blind sample verification of the standard: The operator of the customer uses the personal terminal to scan and decode the QR code of the blind sample of the standard, obtains the corresponding serial number and uploads it to the cloud computing platform, and the cloud computing platform retrieves the calibration value of the standard corresponding to the uploaded serial number;

[0015] S4: Video verification operation: The operator of the customer uses the instrument to measure the blind sample of the standard object, and uses the personal terminal and the cloud platform camera to form a dual-camera shooting process, and uploads the video stream to the cloud database and the TV wall of the measurement unit;

[0016] S5: The instrument to be tested uploads the measurement value: The operator of the customer uses the instrument to be tested to measure the blind sample of the standard object, obtains the measurement data and uploads it to the cloud computing platform, which automatically calculates the uncertainty and automatically generates a calibration certificate to be authorized;

[0017] S6: Certificate Authorization: The metrologist observes the operation process of calibrating the instrument to be tested and the measurement data through the TV wall, and after confirming that the operation process is correct and the measurement data has not been tampered with, approves and authorizes the calibration certificate to be authorized and uploads it to the cloud server.

[0018] As a preferred solution of the present invention, in said S0, an independent instrument account is established in said cloud server for integrating the uploaded information of said inspection instrument;

[0019] The calibration application information includes: the name of the inspection unit, the location data of the inspection unit and the information of the inspection instrument;

[0020] The information of the instrument to be inspected includes: the name of the instrument, manufacturer, inspection object, product type, product serial number, and a picture of the instrument appearance;

[0021] The personnel information includes: the identification card information and facial information of the detection personnel.

[0022] As a preferred solution of the present invention, in S1, the double identity authentication includes account password authentication and face recognition authentication. The specific steps of using the personal terminal to perform the double identity authentication are:

[0023] S101: Obtaining in advance from the cloud server the account passwords and facial images of n authorized operators of the inspection clients, where n≥1;

[0024] S102: The customer operator uses the personal terminal to enter the account number and password, and uses the front camera of the personal terminal to take a facial image and upload it to the cloud server. The cloud server matches the uploaded account number and password with the facial image to obtain a matching result;

[0025] S103: If the matching result matches any authorized operator of the inspection client, it is determined that the inspection client operator has passed the verification; otherwise, it is determined that the inspection client operator has not passed the verification.

[0026] As a preferred solution of the present invention, in S1, the operator of the customer submitting the inspection also performs location verification at the same time. The specific steps of the location verification are: the operator of the customer submitting the inspection uses the personal terminal to upload the current location data to the cloud server, and the cloud server matches the location data uploaded by the personal terminal with the stored location data of the corresponding customer submitting the inspection unit. If they match, the location verification is passed; otherwise, the location verification is not passed.

[0027] As a preferred solution of the present invention, S2 specifically includes:

[0028] S201: The inspection client operator uses the personal terminal to input the name and location data of the inspection unit and uploads them to the cloud server;

[0029] S202: The operator of the customer using the rear camera of the personal terminal takes a picture of the appearance of the instrument and the model nameplate of the instrument, and uploads the picture to the cloud server;

[0030] The instrument model nameplate image includes: instrument name, manufacturer, test object, product type and product serial number;

[0031] S203: Compare the inspection unit information and the inspection instrument information uploaded to the cloud server with the data in the independent account of the instrument in the cloud server. If all items match, the information verification is passed; otherwise, the information verification fails.

[0032] As a preferred solution of the present invention, in S3, the step of the cloud computing platform retrieving the calibration value of the standard object corresponding to the uploaded serial number is:

[0033] S301: pre-registering the blind sample serial number and calibration value of the standard in the cloud database;

[0034] S302: A dynamic lookup table is maintained in the cloud computing platform, and the dynamic lookup table is used to match the serial number of the blind sample of the standard object with the calibration value of the corresponding standard object in the cloud database.

[0035] As a preferred solution of the present invention, in S4, the video wall of the measurement unit is connected to the cloud database, the cloud database stores the captured video stream within a specified time, and the video wall can replay the captured video stream through the cloud database at any time;

[0036] The operator of the customer submitting the inspection uses the personal terminal or portable recording device to communicate with the metrology personnel in real time, and the metrology personnel guides the operator of the customer submitting the inspection to operate;

[0037] The personal terminal or the portable recording device has a two-way voice communication function.

[0038] As a preferred solution of the present invention, in S5, the calculation of the uncertainty and the generation of the calibration certificate to be authorized are both completed on the cloud computing platform, and the operator of the customer submitting the sample cannot observe the calibration value of the blind sample of the standard.

[0039] As a preferred solution of the present invention, in S6, the cloud computing platform and the video wall can simultaneously receive multiple landmark blind sample accounts, and the video wall has multiple independent TVs. The monitoring video streams of the inspection customer operators of multiple inspection customer units are displayed on different TVs on the video wall respectively;

[0040] The calibration certificate that has been approved and authorized is uploaded to the independent account of the instrument established in the cloud server. The independent account also includes the time of the last calibration of the instrument, the electronic certificate of the last calibration visa authorization of the instrument, and the time when the instrument needs to be calibrated next;

[0041] The operator of the customer submitting the instrument for inspection affixes the QR code for accessing the independent account to the calibrated instrument.

[0042] A remote smart metering system, using the remote smart metering method described above, includes a personal terminal, a portable recording device, a cloud platform camera, a cloud server, a cloud computing platform, a cloud database, and a metering unit:

[0043] The personal terminal is equipped with front and rear cameras for collecting facial information of personnel and scanning QR code information; the personal terminal is also equipped with positioning software for sending location information to the cloud server; the personal terminal is also equipped with a communication module for real-time communication with the measurement personnel;

[0044] The portable recording device is wearable and has front and rear cameras for recording, voice communication, and can take photos and videos and upload them to the cloud computing platform;

[0045] The cloud platform camera is connected to the cloud database data and has front and rear cameras for shooting;

[0046] The cloud computing platform is connected to the cloud server and the personal terminal for data exchange between the personal terminal and the cloud server;

[0047] The cloud server: The cloud server has access rights only to internal personnel involved in the calibration process and is used to store authorized personnel information; it is also connected to the measurement unit data to output electronic certificates;

[0048] The cloud database: The cloud database has access rights for all personnel; it is also connected to the central traceability laboratory data to store standard spectra and video stream information of the standard objects;

[0049] The measurement unit: is connected to the cloud server to search for the corresponding standard equipment library and standard material library, select and mail blind samples of standard materials; is also connected to the personal terminal data to guide and review calibration operations; and is also connected to the cloud database data to upload authorized electronic certificates.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] (1) The present invention establishes an independent platform for metrological calibration. The metrological personnel of the metrological unit complete the application for calibration and the mailing of the blind sample of the standard object and identity authentication based on this platform. The operator of the customer who submits the sample for inspection uploads the unit and instrument information again based on this platform, and then uploads the serial number of the blind sample of the standard object to the cloud computing platform to retrieve the calibration value of the corresponding standard library. The detection operation is completed under the voice guidance and video monitoring of the metrological personnel. Then, the measurement data obtained by measuring the blind sample of the standard object using the instrument to be tested and uploaded to the cloud computing platform, and the cloud computing platform automatically calculates the uncertainty and automatically generates the calibration certificate.

[0052] (2) In the present invention, the operator of the customer who submits the test uses the instrument to be tested to measure the blind sample of the standard object on site, and directly uploads the measurement data to the cloud computing platform after the instrument obtains the measurement data. During this process, the operator of the customer who submits the test cannot observe the calibration value of the blind sample of the standard object, thereby preventing the operator of the customer from making calculation errors and falsifying data.

[0053] (3) The metrology personnel of the metrology unit shall review whether the operator’s calibration process of the instrument is standardized, and check whether the uploaded measurement data is tamper-free. After passing the review, the electronic certificate shall be stamped and signed, and then uploaded to an independent account on the cloud server. The independent account can be accessed through the QR code attached to the instrument. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0055] FIG1 is a schematic flow chart of the method according to the first embodiment of the present invention.

[0056] FIG2 is a schematic diagram of a system according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0058] The following first describes the concepts involved in this application with reference to the accompanying drawings. It should be noted that the following description of each concept is intended only to make the content of this application easier to understand and does not limit the scope of protection of this application. At the same time, the embodiments and features in the embodiments of this application can be combined with each other unless there is a conflict. The following detailed description of this application will be made with reference to the accompanying drawings and in conjunction with the embodiments.

[0059] Example 1

[0060] As shown in FIG1 , the present invention provides a remote intelligent metering method, comprising the following steps:

[0061] S0: Application for calibration and mailing of blind standard samples: The inspection personnel of the relevant inspection client upload the application for calibration information and personnel information to the cloud server; the metrology personnel of the measurement unit enter the corresponding calibration equipment library and standard material library according to the uploaded information, select the corresponding blind standard sample, and mail the blind standard sample to the operator of the inspection client of the measurement unit.

[0062] Specifically, in S0, an independent instrument account is established in the cloud server for integrating the uploaded information of the inspection instrument, so that the inspection unit personnel or the inspection customer operator can access the account at any time to obtain relevant information of the instrument.

[0063] The calibration application information includes: the name of the inspection unit, the location data of the inspection unit and the information of the inspection instrument;

[0064] The information of the instrument to be inspected includes: the name of the instrument, manufacturer, inspection object, product type, product serial number, and a picture of the instrument appearance;

[0065] The personnel information includes: the identification card information and facial information of the detection personnel.

[0066] All operations of the testing personnel of the above-mentioned client units are completed through the APP or WeChat mini-program on their personal terminals. The dedicated APP or WeChat mini-program is developed by the measurement unit, and all operations of the measurement personnel are based on the dedicated APP management terminal or WeChat mini-program management terminal.

[0067] S1: Personnel identity authentication: The operator of the customer who submits the inspection arrives at the customer's unit, and uses a personal terminal to perform double identity authentication, and obtains authorization after passing the identity authentication.

[0068] Specifically, before calibrating an instrument, it is necessary to verify that the operator is qualified. If an unqualified operator is operating the instrument, the subsequent verification process related to the calibration process cannot be carried out. By verifying the qualification of the operator, the reliability of the calibration process and results is guaranteed.

[0069] In S1, the dual identity authentication includes account password authentication and face recognition authentication. The specific steps of using the personal terminal to perform the dual identity authentication are:

[0070] S101: Obtaining the account passwords and facial images of n authorized inspection client operators in advance from the cloud server, where n≥1;

[0071] S102: The customer operator uses the personal terminal to enter the account number and password, and uses the front camera of the personal terminal to take a facial image and upload it to the cloud server. The cloud server matches the uploaded account number and password with the facial image to obtain a matching result;

[0072] S103: If the matching result matches any authorized operator of the inspection client, it is determined that the inspection client operator has passed the verification; otherwise, it is determined that the inspection client operator has not passed the verification.

[0073] In S1, the operator of the customer submitting the inspection also performs location verification at the same time. The specific steps of the location verification are: the operator of the customer submitting the inspection uses the personal terminal to upload the current location data to the cloud server, and the cloud server matches the location data uploaded by the personal terminal with the stored location data of the corresponding customer submitting the inspection unit. If they match, the location verification is passed; otherwise, the location verification is not passed.

[0074] S2: Verification of the inspection unit information and the inspection instrument information: The inspection client operator uses the personal terminal to upload the inspection unit information and the inspection instrument information to the cloud server for verification.

[0075] Specifically, the S2 specifically includes:

[0076] S201: The inspection client operator uses the personal terminal to input the name and location data of the inspection unit and uploads them to the cloud server;

[0077] S202: The operator of the customer using the rear camera of the personal terminal takes a picture of the appearance of the instrument and the model nameplate of the instrument, and uploads the picture to the cloud server;

[0078] The instrument model nameplate image includes: instrument name, manufacturer, test object, product type and product serial number;

[0079] S203: Compare the inspection unit information and the inspection instrument information uploaded to the cloud server with the data in the independent account of the instrument in the cloud server. If all items match, the information verification is passed; otherwise, the information verification fails.

[0080] S3: Blind sample verification of the standard object: The customer operator uses the personal terminal to scan the QR code of the blind sample of the standard object and decode it, obtains the corresponding serial number and uploads it to the cloud computing platform, and the cloud computing platform retrieves the calibration value of the standard object corresponding to the uploaded serial number.

[0081] Specifically, in S3, the cloud computing platform retrieves the calibration value of the standard object corresponding to the uploaded serial number in the following steps:

[0082] S301: Register the blind sample serial number and calibration value of the standard in the cloud database in advance;

[0083] S302: A dynamic lookup table is maintained in the cloud computing platform, and the dynamic lookup table is used to match the serial number of the blind sample of the standard object with the calibration value of the corresponding standard object in the cloud database.

[0084] The operator of the customer who submits the test will use the instrument to be tested to measure the blind sample of the standard on site, and directly upload the measurement data to the cloud computing platform after the instrument obtains it. During this process, the operator of the customer who submits the test cannot observe the calibration value of the blind sample of the standard (or standard instrument).

[0085] S4: Video verification operation: The customer operator uses the instrument to be tested to measure the blind sample of the standard object, and uses the personal terminal and the cloud platform camera to form a dual-camera shooting overall operation process, and uploads the video stream to the cloud database and the TV wall of the measurement unit.

[0086] Specifically, the personal terminal and the cloud platform camera constitute a dual camera position, and both have a two-way voice call function. The instrument to be tested is operated under the voice guidance of the measurement personnel, and the operation screen and the operation space including the instrument to be tested, the operator, and the operating computer are photographed separately to record the entire process of operating the instrument.

[0087] In S4, the video wall of the measurement unit is connected to the cloud database, the cloud database stores the captured video stream within a specified time, and the video wall can replay the captured video stream through the cloud database at any time;

[0088] The operator of the customer submitting the inspection uses the personal terminal or portable recording device to communicate with the metrology personnel in real time, and the metrology personnel guides the operator of the customer submitting the inspection to operate;

[0089] The personal terminal or the portable recording device has a two-way voice communication function.

[0090] S5: The instrument to be tested uploads the measurement value: After the operator of the customer uses the instrument to be tested to measure the blind sample of the standard object, the measurement data is obtained and uploaded to the cloud computing platform. The cloud computing platform automatically calculates the uncertainty and automatically generates a calibration certificate to be authorized.

[0091] Specifically, in S5, the calculation of the uncertainty and the generation of the calibration certificate to be authorized are both completed on the cloud computing platform, and the operator of the customer submitting the sample for inspection cannot observe the calibration value of the blind sample of the standard.

[0092] After the corresponding pre-job training, the operators of the customer who submits the test materials for inspection will not be able to know the calibration value information of the blind standard sample when operating the instrument to be tested to measure the blind standard sample at the inspection site. They can only use the instrument to be tested to test the blind standard sample and upload the test results to the cloud computing platform to automatically calculate the uncertainty and automatically generate a certificate to prevent the operators of the customer who submits the test materials from making calculation errors and falsifying the data.

[0093] S6: Certificate Authorization: The metrologist observes the operation process of calibrating the instrument to be tested and the measurement data through the TV wall, and after confirming that the operation process is correct and the measurement data has not been tampered with, approves and authorizes the calibration certificate to be authorized and uploads it to the cloud server.

[0094] In S6, the cloud computing platform and the video wall can simultaneously receive multiple landmark blind sample accounts. The video wall has multiple independent TVs, and the monitoring video streams of the inspection client operators of multiple inspection client units are displayed on different TVs on the video wall respectively.

[0095] The approved calibration certificate is uploaded to the independent account of the instrument established in the cloud server. The independent account also includes the time of the last calibration of the instrument, the electronic certificate of the last calibration visa authorization of the instrument, and the time when the instrument needs to be calibrated next;

[0096] The operator of the customer submitting the instrument for inspection affixes the QR code for accessing the independent account to the calibrated instrument.

[0097] The calibration personnel of the central traceability laboratory of the measurement unit will review the operator's calibration process of the spectrometer, and after passing the review, they will sign the electronic certificate and upload it to an independent account in the cloud database. The independent account can be accessed through the QR code attached to the instrument.

[0098] The entire process involves only two units: the client unit submitting the product for inspection and the measurement unit, which is a sub-unit of the central traceability laboratory.

[0099] Only three types of personnel are involved: the inspection personnel of the customer who submits the goods for inspection, the operator of the customer who submits the goods for inspection of the measurement unit, and the measurement personnel of the measurement unit;

[0100] The operations that the metrology personnel need to complete include: selecting blind samples of standard objects based on the information uploaded by the inspection personnel of the inspection customer, mailing blind samples of standard objects to the designated inspection customer operators, delegating the inspection customer operators to the required inspection customer units, communicating with the inspection customer operators in real time and guiding the operations, observing the instrument operation process and measurement data, authorizing unauthorized calibration certificates, etc.

[0101] Example 2

[0102] As shown in Figure 2, a remote smart metering system uses the remote smart metering method described above, including a personal terminal, a portable recording device, a cloud platform camera, a cloud server, a cloud computing platform, a cloud database, and a metering unit:

[0103] The personal terminal is equipped with front and rear cameras for collecting facial information of personnel and scanning QR code information; the personal terminal is also equipped with positioning software for sending location information to the cloud server; the personal terminal is also equipped with a communication module for real-time communication with the measurement personnel of the measurement unit;

[0104] The portable recording device is wearable and has front and rear cameras for recording, a voice call function, and can take photos and videos and upload them to the cloud computing platform;

[0105] The cloud platform camera is connected to the cloud database data and has front and rear cameras for shooting;

[0106] The cloud computing platform is connected to the cloud server and the personal terminal for data exchange between the personal terminal and the cloud server;

[0107] The cloud server: The cloud server has access rights only to internal personnel involved in the calibration process and is used to store authorized personnel information; it is also connected to the measurement unit data to output electronic certificates;

[0108] The cloud database: The access rights of the cloud database are open to all personnel; it is also connected to the central traceability laboratory data to store standard spectra and video stream information of the standard objects;

[0109] The measurement unit: is connected to the cloud server to search for the corresponding standard equipment library and standard material library, select and mail blind samples of standard materials; is also connected to the personal terminal data to guide and review calibration operations; and is also connected to the cloud database data to upload authorized electronic certificates.

[0110] Example 3

[0111] This embodiment includes a computer-readable storage medium, on which a data processing program is stored. The data processing program is executed by a processor to implement a remote intelligent metering method according to embodiment 1.

[0112] It will be understood by those skilled in the art that the embodiments herein may be provided as methods, devices (equipment), or computer program products. Therefore, this document may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Including but not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and may include any information delivery medium.

[0113] This article is described with reference to the flowcharts and / or block diagrams of the methods, devices (equipment) and computer program products according to the embodiments of this article. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the function specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0114] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the steps of the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0115] It should be noted that the terms used in this application are only for describing specific embodiments and are not intended to limit the scope of this application. As shown in the specification and claims of this application, unless the context clearly indicates an exception, the words "one", "an", "a kind of" and / or "the" do not specifically refer to the singular and may also include the plural. The terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of further restrictions, the elements defined by the sentence "comprise a..." do not exclude the presence of other identical elements in the process, method or device comprising the elements.

[0116] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the internal parts of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0117] The embodiments and / or implementation methods described above are only used to illustrate the preferred embodiments and / or implementation methods for realizing the technology of the present invention, and do not impose any form of limitation on the implementation methods of the technology of the present invention. Any person skilled in the art may make slight changes or modifications to other equivalent embodiments without departing from the scope of the technical means disclosed in the content of the present invention, but they should still be regarded as technologies or embodiments that are essentially the same as the present invention.

[0118] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. The above is only the preferred implementation method of this application. It should be pointed out that due to the limitations of textual expression, there are objectively infinite specific structures. For ordinary technicians in this technical field, without departing from the principles of this application, they can also make several improvements, modifications or changes, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the scope of protection of this application.

Claims

1. A remote intelligent metering method, characterized in that: The steps include: S0: Application for calibration and mailing of blind standard samples: The inspection personnel of the relevant inspection client upload the application for calibration information and personnel information to the cloud server; the metrology personnel of the measurement unit enter the corresponding calibration equipment library and standard material library according to the uploaded information, select the corresponding blind standard sample, and mail the blind standard sample to the inspection client operator of the measurement unit; The calibration application information includes: the name of the inspection unit, the location data of the inspection unit and the information of the inspection instrument; The information of the instrument to be inspected includes: the name of the instrument, the manufacturer, the inspection object, the product type, the product serial number, and the appearance picture of the instrument; The personnel information includes: the ID card information and face information of the detected personnel; Establishing an independent instrument account in the cloud server for integrating the uploaded information of the instrument to be inspected; S1: Personnel identity authentication: The inspection customer operator arrives at the inspection unit, and uses a personal terminal to perform double identity authentication. After passing the identity authentication, the inspection customer operator also performs location verification. The specific steps of the location verification are: the inspection customer operator uses the personal terminal to upload the current location data to the cloud server, and the cloud server matches the location data uploaded by the personal terminal with the stored location data of the corresponding inspection unit. If they match, the location verification is passed; otherwise, the location verification is not passed; S2: Verification of the inspection unit information and the inspection instrument information: The inspection customer operator uses the personal terminal to upload the inspection unit information and the inspection instrument information to the cloud server for verification, including: S201: The inspection client operator uses the personal terminal to input the name of the inspection unit and the location data of the inspection unit, and uploads them to the cloud server; S202: The operator of the customer using the rear camera of the personal terminal takes a photo of the appearance of the instrument pictures and instrument model nameplate pictures, and upload them to the cloud server; The instrument model nameplate image includes: instrument name, manufacturer, test object, product type and product serial number; S203: comparing the inspection unit information and the inspection instrument information uploaded to the cloud server with the data in the independent account of the instrument in the cloud server. If all items match, the information verification is passed; otherwise, the information verification is not passed; S3: Blind sample verification of the standard object: the operator of the customer uses the personal terminal to scan and decode the QR code of the blind sample of the standard object, obtains the corresponding serial number and uploads it to the cloud computing platform, and the cloud computing platform retrieves the calibration value of the standard object corresponding to the uploaded serial number; S4: Video verification operation: The operator of the customer uses the instrument to be tested to measure the blind sample of the standard object, and uses the personal terminal and the cloud platform camera to form a dual-camera to shoot the overall operation process, and uploads the video stream to the cloud database and the TV wall of the measurement unit. The personal terminal and the cloud platform camera form a dual-camera, and at the same time have a two-way voice call function. Under the voice guidance of the measurement personnel, the operator operates the instrument to be tested, and respectively shoots the operation screen and the operation space including the instrument to be tested, the operator, and the operation computer, and records the entire process of operating the instrument; S5: The instrument to be tested uploads the measurement value: After the operator of the customer uses the instrument to be tested to measure the blind sample of the standard object, the measurement data is obtained and uploaded to the cloud computing platform, and the cloud computing platform automatically calculates the uncertainty and automatically generates a calibration certificate to be authorized; S6: Certificate Authorization: The metrologist observes the operation process of calibrating the instrument to be tested and the measurement data through the TV wall, and after confirming that the operation process is correct and the measurement data has not been tampered with, approves and authorizes the calibration certificate to be authorized and uploads it to the cloud server.

2. A remote intelligent metering method according to claim 1, characterized in that: In S1, the double identity authentication includes account password authentication and face recognition authentication. The specific steps of using the personal terminal to perform the double identity authentication are: S101: Obtaining n authorized customer operator accounts, passwords and facial images in advance in the cloud server, where n≥1; S102: The customer operator inputs the account number and password using the personal terminal, and uses the front camera of the personal terminal to take a facial image and upload it to the cloud server, and the cloud server matches the uploaded account number and password with the facial image to obtain a matching result; S103: If the matching result matches any authorized operator of the inspection customer, it is determined that the inspection customer operator has passed the verification; otherwise, it is determined that the inspection customer operator has not passed the verification.

3. A remote intelligent metering method according to claim 1, characterized in that: In S3, the cloud computing platform retrieves the calibration value of the standard object corresponding to the uploaded serial number in the following steps: S301: pre-registering the blind sample serial number of the standard object and the calibration value of the standard object in the cloud database; S302: A dynamic lookup table is maintained in the cloud computing platform, and the dynamic lookup table is used to match the blind sample serial number of the standard object with the calibration value of the corresponding standard object in the cloud database.

4. A remote intelligent metering method according to claim 1, characterized in that: In S4, the video wall of the measurement unit is connected to the cloud database, the cloud database saves the captured video stream within a specified time, and the video wall can play back the captured video stream through the cloud database at any time; The operator of the customer who submits the inspection uses the personal terminal or the portable recording device to communicate with the measurement personnel in real time, and the measurement personnel guides the operator of the customer who submits the inspection to operate; The personal terminal or the portable recording device has a two-way voice call function.

5. A remote intelligent metering method according to claim 1, characterized in that: In S5, the calculation of the uncertainty and the generation of the calibration certificate to be authorized are both completed on the cloud computing platform, and the operator of the customer submitting the sample for inspection cannot observe the calibration value of the blind sample of the standard.

6. A remote intelligent metering method according to claim 1, characterized in that: In S6, the cloud computing platform and the TV wall simultaneously receive multiple landmark blind sample accounts, the TV wall has multiple independent TVs, and the monitoring video streams of the inspection customer operators of multiple inspection units are displayed on different TVs on the TV wall respectively; The calibration certificate that has been approved and authorized is uploaded to the independent account of the instrument established in the cloud server. The independent account also includes the time of the last calibration of the instrument, the electronic certificate of the last calibration visa authorization of the instrument, and the time when the instrument needs to be calibrated next time; The operator of the customer submitting the test will attach the QR code for accessing the independent account to the calibrated instrument.

7. A remote intelligent metering system, using the remote intelligent metering method according to any one of claims 1 to 6, characterized in that: Including personal terminals, portable recording devices, cloud platform cameras, cloud servers, cloud computing platforms, cloud databases and measurement units: The personal terminal is provided with front and rear cameras, which are used to collect facial information of personnel and scan QR code information; the personal terminal is also provided with positioning software, which is used to send location information to the cloud server; the personal terminal is also provided with a communication module, which is used to communicate with the measurement personnel of the measurement unit in real time; The portable recording device can be worn, has front and rear cameras for filming, has voice calls, and can take photos and videos and upload them to the cloud computing platform; The cloud platform camera is connected to the cloud database data and has front and rear cameras for shooting; The cloud computing platform is connected to the cloud server and the personal terminal for data interaction between the personal terminal and the cloud server; The cloud server: The cloud server has access rights for internal personnel involved in the calibration process and is used to store information about authorized personnel; it is also connected to the measurement unit data for outputting electronic certificates; The cloud database: The cloud database has access rights for all personnel; it is also connected to the central traceability laboratory data to store standard spectra and video stream information of the standard objects; The measurement unit: is connected to the cloud server to search for the corresponding standard equipment library and standard material library, select and mail blind samples of standard materials; is also connected to the personal terminal data to guide and review calibration operations; is also connected to the cloud database data to upload authorized electronic certificates.

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