Full-life-cycle intelligent management system for electric power tools and instruments

Abstract

The invention discloses a full-life-cycle intelligent management system for electric power tools and instruments. The system comprises a warehouse-in and warehouse-out detection module, a machine account checking module, a collaborative management module, a maintenance detection module, an intelligent reminding module and a data storage and calling module. The system can complete warehouse-in and warehouse-out code scanning, safety registration inspection, temperature and humidity adjustment, demand response borrowing and collaborative management of the electric power tools and instruments, so that the tools and instruments can be fully used, maintenance demand prompts can be given in time, the fine, intelligent and informationized management requirements of the electric power tools and instruments in the working process of an electric power grid are met, and the working efficiency of the electric power grid is improved. And full-life-cycle intelligent management of the electric tools and instruments is realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent tool management systems, and more particularly, to an intelligent management system for the whole life cycle of electric power tools. Background Art

[0002] The daily operation and development of the power industry are inseparable from live working and the use of safety tools. Due to the particularity of power operations, the safety performance of electric power tools is crucial to the life safety of operation and maintenance personnel. Therefore, strict tool management systems are implemented in power units such as power enterprises, power supply stations, and substations to track and record the usage and status of electric power tools, ensuring that the tools can be used safely.

[0003] To facilitate the management of electric power tools, existing electric power tools either still use manual ledger methods to manage incoming and outgoing, or in the process of adopting full life cycle management, they cannot achieve intelligent management throughout the process, cannot dynamically update the index data of electric power tools, and cannot timely understand the usage of electric power tools, implementing a rough management method. At the same time, the storage environment of electric power tools is relatively random, and the loss of electric power tools is closely related to the storage environment and usage. Currently, there is a lack of a scientific and effective intelligent management technology means to reduce the loss of electric power tools during storage, and to update the loss information of electric power tools in real time according to the demand usage, and to timely respond to the usage requirements of electric power tools, so as to better manage electric power tools intelligently. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent management system for the whole life cycle of electric power tools to solve the above problems existing in the prior art.

[0005] Specifically, this application is as follows:

[0006] An intelligent management system for the whole life cycle of electric power tools, characterized in that the system includes:

[0007] An inbound and outbound detection module for reading the information of electric power tools and implementing inbound and outbound management;

[0008] A ledger inspection module for parameter configuration, requisition reduction and / or intelligent verification of electric power tools;

[0009] A collaborative management module for automatically reading requirements to achieve coordinated use of internal and external electric power tools;

[0010] A maintenance detection module for automatically identifying the loss situation of electric power tools;

[0011] An intelligent reminder module for realizing status monitoring during the use of electric power tools;

[0012] A data storage and call module for processing data in the whole life cycle of electric power tools;

[0013] All the above modules are electrically connected to each other.

[0014] The incoming and outgoing warehouse detection module includes an API interface, a temperature and humidity sensor, a barcode generation library, and a laser scanner; the API interface is connected to an external procurement terminal to obtain the name, procurement time, location, price, and material information of electric power tools; the temperature and humidity sensor obtains the temperature and humidity information of electric power tools; the barcode generation library generates barcodes from the information obtained by the API interface and the temperature and humidity sensor; the laser scanner reads the incoming and outgoing warehouse data of electric power tools by scanning the barcodes and writes the read information into the data storage and call module.

[0015] The ledger inspection module includes a data acquisition end, an intelligent analysis module, and a visual display; the data acquisition end, based on semantic parsing and matching technology, realizes automatic data entry of electric power tools and configures the parameters of electric power tools; the intelligent analysis module analyzes the incoming and outgoing warehouse information of electric power tools, calculates the usage and loss rate of electric power tools, and conducts requisition reduction; the visual display displays the usage and loss rate of electric power tools in the form of progress bars and / or icons.

[0016] The realization of automatic data entry and parameter configuration of electric power tools based on semantic parsing and matching technology includes:

[0017] The data of electric power tools includes text data and image data. Text recognition is performed on the image data of electric power tools to obtain image text data;

[0018] Semantic recognition is performed on the data information to obtain the semantic information of the electric power tools, which is compared with a pre-defined semantic template to obtain the standardized information of the electric power tools data;

[0019] The standardized information of the electric power tools data is input into a pre-trained parameter configuration model to obtain the parameter configuration information of the electric power tools.

[0020] The collaborative management module includes a temperature regulator, a demand acquisition module, and a communication port; the temperature regulator obtains the temperature and humidity information of electric power tools through a temperature and humidity sensor for automatic temperature adjustment; the demand acquisition module analyzes the usage requirements of electric power tools to realize the coordinated use of electric power tools inside and outside; the communication port can conduct real-time and non-real-time communication during the use of electric power tools.

[0021] The requirement acquisition module analyzes the usage requirements of electric power tools to achieve coordinated use inside and outside the electric power tools, including:

[0022] Obtain demand responses through interfaces, and establish a loss calculation model for electric power tools according to the intelligent management measures of electric power tools and the requirements of demand responses;

[0023] Based on the loss calculation model of electric power tools, with the comprehensive loss considering winding loss, core loss, and port loss as the basis, combined with the electric power demand response, establish an objective function with the minimum loss of electric power tools as the goal;

[0024] For the objective function of electric power tools, set demand constraint conditions to construct a demand response coordination model; use mathematical software to solve the model to obtain the optimal lending plan.

[0025] The winding loss is:

[0026]

[0027] Among them, P loss,cu represents the winding loss, I dc is the effective value of the winding harmonic current, R dc is the DC resistance of the winding, I n is the effective value of the nth harmonic current, F R,n is the AC-DC resistance ratio of the winding under the excitation of the nth harmonic;

[0028] The core loss is:

[0029]

[0030] Among them, P loss,Fe represents the core loss, p Fe is the core loss power density, V is the effective volume of the high-frequency core, F eq is the magnetic flux waveform coefficient in the case of a square wave, K, α, β are constants, f is the frequency of the square wave, B max is the maximum magnetic induction intensity;

[0031] The port loss is:

[0032] P loss,k =ai 2 +bi+c

[0033] Among them, P loss,k represents the port loss, i is the port current, and a, b, c are the corresponding coefficients;

[0034] With the minimum loss of electric power tools as the goal, the objective function is:

[0035]

[0036] Among them, P is the total loss of the electric power tool, and n represents the number of times.

[0037] After obtaining the demand response of the electric power tool, consider the demand constraint conditions.

[0038] The demand duration constraint condition of the electric power tool is:

[0039]

[0040] Among them, E t represents the demand duration of the electric power tool, P cu is the initial winding load, P Fe is the initial core load, P k is the initial port load;

[0041] The load demand constraint condition of the electric power tool is:

[0042]

[0043] Among them, P i (t), P i (t + 1) are the load outputs of the i-th electric power tool at times t and (t + 1) respectively; are respectively the maximum loads during the load increase and load decrease processes of the i-th electric power tool during the demand conversion process; Construct a demand response coordination model, obtain the coordinated optimization result with the minimum demand response and electric power tool loss, and obtain the optimal borrowing plan.

[0044] The maintenance and detection module intelligently detects the usage of the electric power tool through intelligent diagnosis technology, obtains the loss situation of the electric power tool, and outputs the detection information to the intelligent reminder module.

[0045] The intelligent reminder module includes a status monitoring module, a prediction and evaluation module, and a real-time reminder module; The status monitoring module monitors the usage of the electric power tool; The prediction and evaluation module processes the usage information data of the electric power tool; The real-time reminder module reminds the electric power tools that need to be replaced or scrapped.

[0046] The data storage and call module stores and calls the data during the whole life cycle management of the electric power tool.

[0047] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0048] The present invention provides an intelligent management system for the whole life cycle of electric power tools, including an inbound and outbound detection module, an inventory inspection module, a collaborative management module, a maintenance detection module, an intelligent reminder module, and a data storage and call module, which meet the refined, intelligent, and information-based management requirements for electric power tools during the operation of the power grid, and realize the intelligent management of the whole life cycle of electric power tools; temperature and humidity sensors and regulators are set in the intelligent management system to obtain the storage environment of electric power tools in real time and adjust the temperature and humidity according to the storage condition standards of electric power tools, reducing the loss of electric power tools during storage; according to the demand response of electric power tools, the loss of electric power tools is calculated and updated in real time, an optimal borrowing and lending plan is realized, and the electric power tools that need to be maintained and scrapped are identified in a timely and effective manner to ensure the safety during the electric power operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 FIG. is a functional module diagram of an intelligent management system for the whole life cycle of electric power tools provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] The present invention will be described in detail below with reference to the accompanying drawings.

[0051] Embodiment 1

[0052] An embodiment of the present invention provides an intelligent management system for the whole life cycle of electric power tools, as Figure 1 shown, including the following modules:

[0053] An inbound and outbound detection module, an inventory inspection module, a collaborative management module, a maintenance detection module, an intelligent reminder module, and a data storage and call module, which realize the refined, intelligent, and information-based management requirements for electric power tools;

[0054] Specifically, the electric power tools include personal protective equipment, basic insulation safety tools, auxiliary insulation safety tools, climbing tools, electric power safety detectors, and others that are well-known to those skilled in the art. The system realizes the refined, intelligent, and information-based management requirements for them.

[0055] The incoming and outgoing inspection module reads the information of power tools and realizes the incoming and outgoing management; the ledger inspection module configures parameters for power tools, conducts requisition deduction and / or intelligent verification; the collaborative management module automatically reads requirements to realize the coordinated use of power tools inside and outside; the maintenance inspection module automatically identifies the loss condition of power tools; the intelligent reminder module realizes the status monitoring during the use of power tools, and the data storage and call module conducts data processing during the whole life cycle of power tools. The incoming and outgoing inspection module, the ledger inspection module, the collaborative management module, the maintenance inspection module, the intelligent reminder module and the data storage and call module are electrically connected to each other.

[0056] The incoming and outgoing inspection module includes an API interface, a temperature and humidity sensor, a barcode generation library, and a laser scanner; the API interface is connected to the external procurement end to obtain the name, procurement time, location, price, and material information of power tools; the temperature and humidity sensor obtains the temperature and humidity information of power tools; the barcode generation library generates barcodes based on the information obtained by the API interface and the temperature and humidity sensor; the laser scanner reads the incoming and outgoing data of power tools by scanning the barcodes and writes the read information into the data storage and call module;

[0057] The barcode generation library generates barcodes based on the information obtained by the API interface and the temperature and humidity sensor. The information stored in the barcodes includes the name, procurement time, location, price, material information, suitable storage temperature, and humidity, etc., which are related information involved in the whole life cycle management of power tools.

[0058] The ledger inspection module includes a data acquisition end, an intelligent analysis module, and a visual display; the data acquisition end, based on semantic parsing and matching technology, realizes the automatic input of power tool data and conducts parameter configuration for power tools; the intelligent analysis module analyzes the incoming and outgoing information of power tools, calculates the usage and loss rate of power tools, and conducts requisition deduction; the visual display shows the usage and loss rate of power tools in the form of progress bars and / or icons.

[0059] The realization of automatic data input and parameter configuration for power tools based on semantic parsing and matching technology includes:

[0060] The power tool data includes text data and image data. Text recognition is performed on the image data of power tools to obtain image text data;

[0061] Semantically recognize the data information to obtain the semantic information of the electric power tool, compare it with a predefined semantic template to obtain the standardized information of the electric power tool data; input the standardized information of the electric power tool data into a pre-trained parameter configuration model to obtain the parameter configuration information of the electric power tool.

[0062] In this embodiment, the predefined semantic template includes the standards and specification information in the whole life cycle management process of electric power tools. The standard information tags are used to divide the standard information into different categories. The standard information tags generally include technical standard tags and specification tags, which can be refined according to the actual situation. The standard information to be compared is the technical standard obtained in real time, such as the standard information about electric power tools. The following are some key standards and specifications: "Technical Requirements for the Configuration and Storage of Electric Power Safety Tools (DL / T 1475-2015)", "National Electrical Equipment Safety Technical Specification (GB 19517-2023)", "Preventive Test Regulations for Electric Power Safety Tools (DL / T 1476-2023)". These standards and specifications provide detailed technical requirements and operating procedures for the design, configuration, storage and testing of electric power tools, ensuring the safety and efficiency of electric power operations. The standard information blocks obtained by splitting the standard information to be compared are vectorized. The semantic comparison indicators are set by preset personnel. The standard information to be compared that meets the semantic comparison indicators is placed in the corresponding standard information tags and tag feedback is carried out, realizing the accuracy in the comparison process of electric power tools. And the standard information tags are input into the pre-trained parameter configuration model to configure the parameters of the electric power tool, obtaining the parameter configuration information of the electric power tool.

[0063] The collaborative management module includes a temperature regulator, a demand acquisition module and an AC port; the temperature regulator obtains the temperature and humidity information of the electric power tool through a temperature and humidity sensor to automatically adjust the temperature; the demand acquisition module analyzes the usage requirements of the electric power tool to realize the coordinated use inside and outside the electric power tool; the AC port can conduct real-time and non-real-time communication during the use of the electric power tool.

[0064] The specific control process is as follows: Detect the temperature value and humidity value in the electric power tool storage system through a temperature and humidity sensor, input and store the obtained data, and then output the data to the processor for comparison and analysis of the technical standards for the configuration and storage of electric power safety tools. All data are stored in the data memory in real time. Transmit the obtained data analysis result to the controller, and then control the temperature and humidity sensor to work. When the temperature and humidity in the system meet the standard range, stop working.

[0065] The requirement acquisition module analyzes the usage requirements of electric power tools to achieve coordinated use inside and outside the electric power tools, including:

[0066] Obtain demand response through the interface, and establish a loss calculation model of electric power tools according to the intelligent management measures of electric power tools and the requirements of demand response;

[0067] Based on the loss calculation model of electric power tools, with the comprehensive loss considering winding loss, core loss and port loss as the basis, combined with power demand response, and aiming at the minimum loss of electric power tools, establish an objective function;

[0068] For the objective function of electric power tools, set demand constraint conditions to construct a demand response coordination model; use mathematical software to solve the model to obtain the optimal borrowing and lending plan.

[0069] The winding loss is:

[0070]

[0071] Among them, P loss,cu represents the winding loss, I dc is the effective value of the winding harmonic current, R dc is the DC resistance of the winding, I n is the effective value of the nth harmonic current, F R,n is the AC-DC resistance ratio of the winding under the excitation of the nth harmonic;

[0072] The core loss is:

[0073]

[0074] Among them, P loss,Fe represents the core loss, p Fe is the core loss power density, V is the effective volume of the high-frequency core, F eq is the flux waveform coefficient in the case of a square wave, K, α, β are constants, f is the frequency of the square wave, B max is the maximum magnetic induction intensity;

[0075] The port loss is:

[0076] P loss,k =ai 2 +bi + c

[0077] Among them, P loss,k represents the port loss, i is the port current, and a, b, c are the corresponding coefficients;

[0078] Aiming at the minimum loss of electric power tools, the objective function is:

[0079]

[0080] Among them, P is the total loss of the electric power tool, and n represents the number of times.

[0081] After obtaining the demand response of the electric power tool, consider the demand constraint conditions.

[0082] The demand duration constraint condition of the electric power tool is:

[0083]

[0084] Among them, E t represents the demand duration of the electric power tool, P cu is the initial winding load, P Fe is the initial core load, P k is the initial port load;

[0085] The load demand constraint condition of the electric power tool is:

[0086]

[0087] Among them, P i (t), P i (t + 1) are the load outputs of the i-th electric power tool at time t and (t + 1) respectively; are the maximum loads during the load increase and load decrease processes of the i-th electric power tool during the demand conversion process respectively; construct a demand response coordination model, obtain the coordinated optimization result with the minimum demand response and electric power tool loss, and obtain the optimal borrowing and lending plan.

[0088] The maintenance and detection module intelligently detects the usage situation of the electric power tool through intelligent diagnosis technology, obtains the loss situation of the electric power tool, and outputs the detection information to the intelligent reminder module.

[0089] The intelligent reminder module includes a status monitoring module, a prediction and evaluation module, and a real-time reminder module; the status monitoring module monitors the usage situation of the electric power tool; the prediction and evaluation module processes the usage information data of the electric power tool; the real-time reminder module reminds the electric power tools that need to be replaced or scrapped.

[0090] The data storage and call module stores and calls the data in the whole life cycle management process of the electric power tool.

[0091] This embodiment provides an intelligent management system for the whole life cycle of electric power tools. The system includes an inbound and outbound detection module, an inventory check module, a collaborative management module, a maintenance detection module, an intelligent reminder module, and a data storage and call module. The system can complete the scanning of electric power tools for inbound and outbound, safety registration inspection, temperature and humidity adjustment, demand response borrowing, and collaborative management, enabling each tool to be fully utilized and timely giving maintenance requirement prompts, meeting the refined, intelligent, and information-based management requirements for electric power tools during the operation of the power grid, realizing the intelligent management of the whole life cycle of electric power tools. At the same time, temperature and humidity sensors and regulators are set in the system to obtain the storage environment of electric power tools in real time and adjust the temperature and humidity according to the storage condition requirements of electric power tools, reducing the loss of electric power tools during storage. According to the demand response of electric power tools, the loss situation of electric power tools is calculated and updated in real time, realizing the optimal borrowing plan, timely and effectively identifying the electric power tools that need maintenance and scrapping, and ensuring the safety during the power operation process.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent management system for the whole life cycle of electric power tools, characterized in that The system includes: An inbound and outbound detection module, which is used to read the information of electric power tools and implement inbound and outbound management; An inventory check module, which configures parameters for electric power tools, conducts issuance deduction and / or intelligent verification; A collaborative management module, which automatically reads requirements to achieve coordinated use of electric power tools inside and outside; A maintenance detection module, which automatically identifies the loss situation of electric power tools; An intelligent reminder module, which realizes the status monitoring during the use of electric power tools; A data storage and call module, which processes data during the whole life cycle of electric power tools; All the above modules are electrically connected to each other.

2. The intelligent management system for the whole life cycle of electric power tools according to claim 1, characterized in that, The inbound and outbound detection module includes an API interface, a temperature and humidity sensor, a barcode generation library, and a laser scanner; the API interface is connected to an external procurement terminal to obtain the name, procurement time, location, price, and material information of electric power tools; the temperature and humidity sensor obtains the temperature and humidity information of electric power tools; the barcode generation library generates barcodes based on the information obtained by the API interface and the temperature and humidity sensor; the laser scanner reads the inbound and outbound data of electric power tools by scanning barcodes and writes the read information into the data storage and call module.

3. The intelligent management system for the whole life cycle of a power tool according to claim 1, characterized in that The inventory check module includes a data acquisition end, an intelligent analysis module, and a visual display; the data acquisition end, based on semantic parsing and matching technology, realizes automatic data entry of electric power tools and configures parameters for electric power tools; the intelligent analysis module analyzes the inbound and outbound information of electric power tools, calculates the usage and loss rate of electric power tools, and conducts issuance deduction; the visual display shows the usage and loss rate of electric power tools in the form of progress bars and / or icons.

4. The intelligent management system for the whole life cycle of electric power tools according to claim 3, characterized in that, The realization of automatic data entry and parameter configuration for electric power tools based on semantic parsing and matching technology includes: The data of electric power tools includes text data and image data. Text recognition is performed on the image data of electric power tools to obtain image text data; Semantic recognition is performed on the data information to obtain the semantic information of the electric power tools, which is compared with a predefined semantic template to obtain the standardized information of the electric power tool data; The standardized information of the electric power tool data is input into a pre-trained parameter configuration model to obtain the parameter configuration information of the electric power tools.

5. An intelligent management system for the whole life cycle of electric power tools according to claim 1, characterized in that, The collaborative management module includes a temperature regulator, a demand acquisition module, and an AC port; the temperature regulator obtains the temperature and humidity information of electric power tools through a temperature and humidity sensor to automatically adjust the temperature; the demand acquisition module analyzes the usage requirements of electric power tools to achieve coordinated use of electric power tools inside and outside; the AC port can conduct real-time and non-real-time communication during the use of electric power tools.

6. The intelligent management system for the whole life cycle of electric power tools according to claim 5, characterized in that, The demand acquisition module analyzes the usage requirements of electric power tools to achieve coordinated use of electric power tools inside and outside, including: Obtaining a demand response through an interface, and establishing a loss calculation model for electric power tools according to the requirements of electric power tool intelligent management measures and the demand response. Based on the loss calculation model of electrical power tools, taking the comprehensive loss considering winding loss, core loss and port loss as the basis, combined with demand response of electric power, with the minimum loss of electrical power tools as the goal, an objective function is established; For the objective function of electrical power tools, demand constraint conditions are set to construct a demand response collaborative model; a mathematical software is used to solve the model to obtain the optimal lending plan.

7. An intelligent management system for the whole life cycle of electric power tools according to claim 6, characterized in that, The winding loss is: Among them, P loss,cu represents the winding loss, I dc is the effective value of the winding harmonic current, R dc is the DC resistance of the winding, I n is the effective value of the nth harmonic current, F R,n is the ratio of the AC and DC resistances of the winding under the excitation of the nth harmonic; The core loss is: Among them, P loss,Fe represents the core loss, p Fe is the core loss power density, V is the effective volume of the high-frequency core, F eq is the flux waveform coefficient at square wave, K, α, β are constants, f is the frequency of the square wave, B max is the maximum magnetic induction intensity; The port loss is: P loss,k = ai 2 + bi + c Among them, P loss,k represents the port loss, i is the port current, and a, b, c are the corresponding coefficients; With the minimum loss of electrical power tools as the goal, the objective function is: Wherein, P is the total loss of electrical power tools, and n represents the number of times; After obtaining the demand response of electrical power tools, demand constraint conditions are considered; The demand duration constraint condition of electrical power tools is: Among them, E t represents the demand duration of electrical tools, P cu is the initial load of the winding, P Fe is the initial load of the magnetic core, P k is the initial load of the port; The load demand constraint condition of electrical power tools is: Among them, P i (t), P i(t + 1) are the load outputs of the i-th electric power tool at time t and (t + 1) respectively; are the maximum loads during the load increase and load decrease processes of the i-th electric power tool during the demand conversion process respectively; construct a demand response coordination model, obtain the coordinated optimization results with the least demand response and power tool losses, and obtain the optimal borrowing plan.

8. An intelligent management system for the whole life cycle of electric power tools according to claim 1, characterized in that, The maintenance and detection module intelligently detects the usage of electrical power tools through intelligent diagnosis technology, obtains the loss situation of electrical power tools, and outputs the detection information to the intelligent reminder module.

9. The intelligent management system for the whole life cycle of a kind of electric power tool according to claim 1, characterized in that, The intelligent reminder module includes a status monitoring module, a prediction and evaluation module, and a real-time reminder module; the status monitoring module monitors the usage of electrical power tools; the prediction and evaluation module processes the usage information data of electrical power tools; the real-time reminder module reminds the electrical power tools that need to be replaced or scrapped.

10. An intelligent management system for the whole life cycle of electric power tools according to claim 1, characterized in that, The data storage and call module stores and calls the data in the whole life cycle management process of electrical power tools.

Images