Measurement asset receiving double-binding double-control mechanism method

Abstract

The invention relates to a metering asset receiving double-binding double-control mechanism method, and belongs to the technical field of asset metering. Comprising the following steps: S01, when a receiving person receives required assets, performing face recognition verification through an intelligent terminal, determining information of the receiving person, entering an asset receiving interface if the verification is passed, and re-verifying if the verification is not passed; s02, after the information of the receiving person is confirmed, scanning the receiving asset through a scanning module of the intelligent terminal, completing the binding of the asset number and the information of the receiving person, and automatically generating an electronic file; and S03, the receiving person completes installation of the receiving assets within the specified time. According to the application, a two-way binding mechanism of'receiver-metering assets' is adopted, the limitation of traditional single identity verification or asset identification is broken through, and accurate correspondence between the receiver and the assets is realized. The information input efficiency and the business processing efficiency are improved, and the workload of managers is greatly reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of asset measurement, and particularly relates to a kind of measurement asset taking mechanism method. BACKGROUND

[0002] In the operation process of power system, as the key basis for carrying out measurement work, the standardization and effectiveness of the management of measurement assets directly affect the quality and efficiency of power supply. Currently, the measurement professional power supply is facing more prominent problems in the management link of measurement asset taking: there is a phenomenon of long-term taking of measurement assets without installation and timely return to the warehouse. Due to the lack of effective supervision means for such cases, when the measurement assets are lost, it is difficult to accurately trace the person in charge, which not only causes waste of assets and confusion of management, but also brings potential risks to the safe and stable operation of the power system. The traditional measurement asset management mode mainly relies on paper account book for recording and tracing, which has obvious disadvantages of easy error and difficult tracing, and cannot meet the requirements of modern power management for precision and efficiency.

[0003] With the continuous advancement of the intelligent construction of power system, it is urgent to introduce advanced technical means to optimize the management process of measurement asset taking. Based on this, in order to solve the problems of unclear responsibility and inadequate supervision in the process of measurement asset taking, improve the standardization rate of measurement asset management, and ensure the safe and reasonable use of measurement assets, it is of great practical significance to carry out the measurement asset taking double-binding and double-control mechanism project. SUMMARY

[0004] The technical problem to be solved by the present application is to overcome the shortcomings of the prior art, and to provide a kind of measurement asset taking double-binding and double-control mechanism method. The present application adopts a two-way binding mechanism of "taker-measurement asset", breaks through the limitation of traditional single identity verification or asset identification, and realizes the accurate correspondence between the taker and the asset. The information input efficiency and business processing efficiency are improved, and the workload of management personnel is greatly reduced.

[0005] The technical solution adopted by the present application to solve the problems existing in the prior art is:

[0006] A kind of measurement asset taking double-binding and double-control mechanism method, comprising the following steps:

[0007] S01, when the taker takes the required assets, the face recognition verification is carried out through the intelligent terminal to determine the taker information, and the taker information is verified to enter the asset taking interface. If the verification fails, re-verification is required.

[0008] S02, after the taker information is confirmed, the scanning module of the intelligent terminal is used to scan the taken assets, the binding of asset number and taker information is completed, and the electronic file is automatically generated.

[0009] S03. The user completes the installation of the borrowed asset within the specified time.

[0010] Preferably, in step S03, after the installation of the borrowed asset is completed, the user takes a photo or video of the installation site through the mobile terminal, and then uploads the information to the system. The system associates the uploaded use proof with the corresponding electronic file in step S02, so as to facilitate the administrator to conduct auditing and inquiry.

[0011] Preferably, the uploaded use proof further includes corresponding installation information, and the installation information at least includes installation time and installation location.

[0012] Preferably, the specified time in step S03 is 24 hours.

[0013] Preferably, in step S03, if the installation of the borrowed asset is not completed within 24 hours, the system automatically sends a message to the user for prompting.

[0014] Preferably, in step S03, if the installation of the borrowed asset is not completed within 48 hours, the system generates a supervision single and pushes it to the head of the department.

[0015] Preferably, in step S03, if the installation of the borrowed asset is not completed within 72 hours, the system will forcibly freeze the user's permission, trigger the withdrawal instruction, and require the measurement asset to be withdrawn within the specified time.

[0016] Preferably, in step S01, the intelligent terminal retrieves the matched worker ID information from the enterprise human resource database through the communication module based on the face recognition information, and completes the identity confirmation.

[0017] Preferably, the administrator conducts asset activity management through the computer terminal, including use record management and early warning.

[0018] Preferably, the asset activity management includes asset activity assessment, and the asset state quantitative monitoring is realized through the asset activity assessment.

[0019] Compared with the prior art, the present application has the following beneficial effects:

[0020] (1) The face recognition technology based on convolutional neural network, the worker ID system database and the bar code scanning technology are deeply integrated into the intelligent terminal to form a two-way binding mechanism of "user-measurement asset", which breaks through the limitation of traditional single identity verification or asset identification, realizes the accurate correspondence between the user and the asset through the triple correlation of biological characteristics, identity code and asset physical identification, and is a fundamental innovation of the traditional paper-based account management mode. The traditional scheme mostly adopts manual recording or single identity verification mode, which is low in information input efficiency and easy to make mistakes, and is difficult to realize accurate tracing.

[0021] (2) Based on the big data analysis of the establishment of the asset activity model and three early warning mechanism, the whole process dynamic monitoring system from asset use, installation to the warehouse is constructed, and the passive management is changed into active prevention and control. The traditional management mode lacks real-time tracking of asset state, and cannot timely find the problems such as long-term idle of assets, resulting in high risk of asset loss.

[0022] (3) Compared with the traditional scheme, through multi-technology fusion and multi-terminal collaborative work, the information input efficiency is improved by more than 80%, the business processing efficiency is improved by more than 50%, the asset allocation efficiency is improved by 30%, the workload of management personnel is greatly reduced, and the management efficiency is improved. Avoid the error of traditional manual record, the data consistency and accuracy are effectively guaranteed, through the data consistency verification mechanism, the real-time consistency of three-end data is ensured, and accurate data support is provided for management decision. BRIEF DESCRIPTION OF DRAWINGS

[0023] The application will be further described below in combination with the drawings and examples.

[0024] Figure 1 A flow chart of a metering asset use double binding and double control mechanism method of the application,

[0025] Figure 2 A smart terminal interface diagram in a metering asset use double binding and double control mechanism method of the application,

[0026] Figure 3 A computer terminal interface diagram in a metering asset use double binding and double control mechanism method of the application,

[0027] Figure 4 A mobile terminal interface diagram in a metering asset use double binding and double control mechanism method of the application. DETAILED DESCRIPTION

[0028] The application will be further described below in combination with the drawings and examples.

[0029] A metering asset use double binding and double control mechanism method, relates to a smart terminal, a computer terminal and a mobile terminal, wherein the smart terminal is a core equipment for realizing two-way binding of metering asset use. The smart terminal integrates multiple modules, including a camera, a computing terminal, a touch display screen, a Wi-Fi communication module, a scanning module and a built-in security chip.

[0030] The camera is a 5 million pixel automatic focusing camera for accurate collection of face images; a high-performance portable computing terminal supports local real-time processing of data; a touch display screen realizes man-machine interaction; a Wi-Fi communication module ensures real-time data transmission; a scanning module quickly identifies asset labels through a high-performance barcode scanning engine; and an identity verification unit with a built-in security chip encrypts and compares face templates to ensure that the borrowing process is safe and efficient.

[0031] The working interface of the intelligent terminal is shown in Figure 2 and includes three press points, i.e., "start identification", "scan assets", and "complete binding". An identification box is arranged in the area of the three press points for displaying face recognition images and asset barcode images.

[0032] The computer terminal provides an asset activity management function for administrators, and the asset activity monitoring interface of the computer terminal is shown in Figure 3 which intuitively displays the global asset activity distribution. The computer terminal supports filtering and viewing according to asset categories, borrowing departments, and other dimensions. The early warning center module centrally processes multi-level early warnings, and can perform operations such as batch re-sending reminders, online approval reasons, and adjusting the estimated installation time. The borrowing record management module can be used to query according to multiple conditions such as borrowing time, borrower, asset type, and display the number, name, specification and model, borrower information, borrowing time, estimated installation time, and other detailed records of borrowed assets in table form. At the same time, the computer terminal provides borrowing record statistical analysis functions. Real-time data interaction with the intelligent terminal and the mobile terminal is realized to ensure data integrity and consistency.

[0033] Asset activity management includes asset activity assessment, which realizes quantitative monitoring of asset status through asset activity assessment.

[0034] In order to more comprehensively grasp the asset status, the asset activity assessment adopts a big data analysis-based method, including the following steps:

[0035] Step one, data preprocessing, standardizing historical use data, eliminating outliers, and unifying time data format to timestamp, while using mean filling, regression filling, and other algorithms to handle missing values;

[0036] Step two, time series analysis using an ARIMA model to mine the trend, seasonality, and random rules of historical installation time of similar assets, providing a benchmark for predicting reasonable installation time;

[0037]

[0038] where Δd represents the d-order difference; y t is the current value; c is the constant term; □ i is the autoregressive parameter; y t-i is the lagged dependent variable; θ jis the moving average coefficient; ∈ t is the error term; ∈ t-j is the error term of the previous period.

[0039] Output prediction value y t As a benchmark time for assets of the same kind, it is used for subsequent activity calculation.

[0040] Step three, using the K-means clustering algorithm, according to the asset specification model, use scene and historical installation time and other characteristics, divide the asset category, carry out quantitative evaluation, when the activity is lower than 80%, the system automatically marks, realizes the quantitative monitoring of asset state.

[0041] The mobile terminal is a smart phone, mainly used for uploading installation information, the mobile terminal application can facilitate the user to upload the use proof in time, improve the work efficiency. The working interface of the mobile terminal is shown in Figure 4 , including "to be installed product", "multimedia collection" and "information filling" several units, the asset information of the "to be installed product" is displayed, which can be searched through the search function. "Multimedia collection" contains two options of taking pictures and recording videos, which are used to record the picture and video information of the installation site. In "information filling", the installation time, installation place and other text information can be input.

[0042] A metering asset taking double binding and double control mechanism method, comprising the following steps:

[0043] S01, when the user takes the required asset, the face recognition verification is carried out through the intelligent terminal to determine the user information, and the verification is passed to enter the asset taking interface, and the verification is not passed, then re-verification;

[0044] S02, after the user information is confirmed, the scanning module of the intelligent terminal scans the taking asset, completes the binding of the asset number and the user information, and automatically generates an electronic file;

[0045] In the identity recognition and asset binding process, the face recognition technology and bar code scanning technology are combined. Based on convolutional neural network, a deep learning model is constructed, the face related data is first cleaned and normalized, and then converted into a format suitable for model input. Then, a classic LeNet structure is selected to build the network and adjust the parameters such as the number of layers and the size of the convolution kernel. The preprocessed data is used to train the model through the back propagation algorithm to minimize the loss function, so that the model learns the spatial distribution of facial feature points and texture details, forming a feature extraction and comparison mechanism. When the user aligns the face to the 5 million pixel automatic focusing camera of the intelligent terminal, the image collection and transmission to the edge computing chip will be triggered.

[0046] In the image preprocessing stage, the median filter algorithm is used to reduce noise, and the weighted average gray scale method is used to convert to a gray scale image; in the feature extraction stage, the active shape model is used to locate 106 facial key feature points, and then the principal component analysis algorithm is used to reduce dimensionality to generate a low-dimensional feature vector; in the feature comparison stage, the cosine similarity algorithm is used to calculate the similarity with the face template stored in the security chip memory, and if the threshold is higher than 95%, the recognition is successful.

[0047] The intelligent terminal retrieves the matching worker information from the enterprise human resource database through the communication module based on the face recognition information, and completes identity confirmation. After identity confirmation, the display screen will prompt "identity verification passed" and enter the asset taking interface. The user uses the high-performance barcode scanning engine of the scanning module to scan the asset barcode based on the photoelectric identification principle. The sensor converts the reflected light signal into an electrical signal, and the decoding software processes to obtain asset number information. After scanning all the taking assets, click the taking button to complete the binding of asset number and taker information, and automatically generate electronic files.

[0048] S03, the taker completes the installation of the taking assets within the specified time, which is 24 hours.

[0049] If the installation of the taking assets is not completed within 24 hours, it is not marked as running in the system, and the system will automatically send a message to the taker for prompting, and the prompt content is "the device needs to be installed within 48 hours".

[0050] If the installation of the taking assets is still not completed within 48 hours, the system generates a supervision single and pushes it to the department head in charge, requiring feedback of the reason and processing within a limited time;

[0051] If the reason and processing time are not fed back as required, and the installation of the taking assets is not completed within 72 hours, the system will forcibly freeze the taker's permission, trigger the withdrawal instruction, and require the metering assets to be withdrawn within the specified time. The specified time can be set to 24 to 48 hours, otherwise it will be included in the performance appraisal. After the withdrawal is completed, the taker's permission will be automatically unfrozen.

[0052] S04, after the installation of the taking assets is completed, the installation site photo or video is taken through the mobile terminal, and then the information is uploaded to the system. The system will associate the uploaded use proof with the corresponding electronic file in step S02, so that the administrator can audit and query. The uploaded use proof also includes the corresponding installation information, and the installation information at least includes the installation time and the installation location.

[0053] The embodiments of the application are described in detail above in combination with the drawings, but the application is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the purpose of the application.

Claims

1. A method for measuring asset use with a dual binding and dual control mechanism, characterized in that: The following steps are involved: S01. When the receiving personnel receive the required assets, they will use the smart terminal to perform facial recognition verification to confirm the receiving personnel information. If the verification passes, they will enter the asset receiving interface. If the verification fails, they will need to re-verify. S02. After the recipient's information is confirmed, the recipient scans the asset through the scanning module of the smart terminal, completes the binding of the asset number and the recipient's information, and automatically generates an electronic file; S03. The recipient shall complete the installation of the received assets within the specified time.

2. A dual-binding and dual-control mechanism method for metered asset use according to claim 1, characterized in that: In step S03, after the installation of the asset is completed, take photos or videos of the installation site through the mobile terminal, and then upload the information to the system. The system will associate the uploaded proof of use with the corresponding electronic file in step S02 for the administrator to review and query.

3. A dual-binding and dual-control mechanism method for metered asset use according to claim 2, characterized in that: The uploaded proof of use also includes corresponding installation information, which at least includes the installation time and installation location.

4. A method for a dual-binding and dual-control mechanism for metered asset use according to claim 1, 2, or 3, characterized in that: The time specified in step S03 is 24 hours.

5. A dual-binding and dual-control mechanism method for metered asset use according to claim 4, characterized in that: In step S03, if the installation of the received asset is not completed within 24 hours, the system will automatically send a text message to the recipient to remind him / her.

6. A dual-binding and dual-control mechanism method for metered asset use according to claim 4, characterized in that: In step S03, if the installation of the received assets is not completed within 48 hours, the system will generate a supervision form and send it to the head of the relevant department.

7. A dual-binding and dual-control mechanism method for metered asset use according to claim 4, characterized in that: In step S03, if the installation of the asset is not completed within 72 hours, the system will forcibly freeze the authority of the person who receives it, trigger a return instruction, and require the metered asset to be returned within the specified time.

8. A dual-binding and dual-control mechanism method for metered asset use according to claim 1, 2, 3, 5, 6, or 7, characterized in that: In step S01, the smart terminal retrieves the matching employee number information from the enterprise human resources database through the communication module using the facial recognition information to complete identity confirmation.

9. A method for a dual-binding and dual-control mechanism for metered asset use according to claim 1, 2, 3, 5, 6, or 7, characterized in that: Administrators manage asset activity through computers, including collection record management and early warning.

10. A dual-binding and dual-control mechanism method for metered asset use according to claim 9, characterized in that: Asset activity management includes asset activity assessment, which enables quantitative monitoring of asset status.

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