Automatic sorting method for tools and instruments in electric power storeroom

Abstract

The invention belongs to the technical field of tool warehouse management, and particularly relates to an automatic sorting method for tools in an electric power warehouse, which provides a non-inductive intelligent identification channel for daily storage and use of the tools through a tool in-out warehouse management and control solution based on RFID, face identification, AI video identification, intelligent sensing and other technologies. On the basis of warehouse management and control construction and related expansion, data collaboration is realized through an edge intelligent sensing terminal and a safety tool data center, and the efficiency and the normalization of daily management are improved, so that the management level of the electric power tools is comprehensively improved, and the electric power safety production work is further protected. A full-life-cycle and full-process seamless management and control system for the electric power safety tools and instruments is constructed, and business such as purchase warehousing management, warehouse-in and warehouse-out management, use process management, inspection test management and data analysis is covered.

Description

Technical Field

[0001] The invention belongs to the technical field of tool warehouse management, and in particular relates to an automatic sorting method for tools in a power warehouse. Background Art

[0002] The existing technology for the management of power safety tools mainly revolves around informatization and intelligence, focusing on modularization of the management process according to the system design technology route. The advanced intelligent safety tool management system also has an in-cabinet mode and a warehouse entry and exit management mode, and can be connected to the security control platform to realize advanced management functions for safety tools.

[0003] The existing technology of intelligent use of power safety tools and real-time correspondence with staff is mainly based on radio frequency identification technology and Internet of Things technology. One implementation method is to use radio frequency identification (RFID) electronic tags as a unique "electronic ID card" for each tool, which can realize the "unconscious" efficient use and return of tools, anti-misidentification of placement positions, and one-key automatic inventory and other special functions. Management efficiency and safety can also be improved by developing a smart grid safety tool management system. This system can be fully applied to the entire life cycle of power transmission and asset management, including equipment status monitoring, fault diagnosis, predictive maintenance and other aspects.

[0004] Another way is to use face recognition technology. Operators can enter the warehouse to collect / return safety tools through face recognition authorization without manual registration, saying goodbye to the traditional paper registration operation of entering and leaving the warehouse. At the same time, the system automatically checks the task list, voice prompts the collection status, and intelligently corrects errors to prevent collection errors and eliminate the situation of collecting expired tools or tools that have not been inspected after the expiration date. This is the latest technology for the information and intelligent management of power safety tools.

[0005] However, the technology only realizes the "unconscious" efficient use and return of tools, the anti-misidentification of placement and one-click automatic inventory, the farewell to the traditional paper registration of entry and exit, voice prompts of use, intelligent error correction, to prevent use errors, and to eliminate expired and overdue uninspected tools. However, it is impossible to use deep learning and machine learning methods. Artificial intelligence can learn and understand the use rules and operating procedures of power safety tools, so as to accurately judge the work content and automatically recommend suitable equipment categories according to the specific work content. The application of big data technology is based on massive data processing and analysis to provide accurate decision-making support for power safety tools. Summary of the invention

[0006] The object of the present invention is to provide an automatic sorting method for tools and equipment in a power storage warehouse in view of the problems existing in the prior art. The method is configured with a face recognition and tool recognition device to digitally label the tools and equipment, and realizes the intelligent recognition of materials such as personnel, tools and equipment, spare parts, etc. entering and leaving the warehouse.

[0007] The technical solution of the present invention is as follows:

[0008] An automatic sorting method for tools and equipment in a power storage warehouse includes the following steps:

[0009] S1. Digitally label the tools. RFID radio frequency tags are respectively installed or implanted on all power tools and equipment in the warehouse. Each RFID radio frequency tag corresponds to the complete information of the power tool and equipment to which it is attached, and is collected and input into the main control system through the RFID tag information processor.

[0010] S2. Use contactless face recognition technology to transform the automatic control intelligent lock. When a staff member with the permission to receive assets arrives at the warehouse, the warehouse door will automatically sense and open. After the staff member enters the warehouse to receive materials and leaves, a staff member's material receiving record will be formed in the management background, and the material receiving record will be automatically associated with the work order information.

[0011] S3. Perform face recognition on all incoming personnel and input them into the main control system, and establish a face feature template.

[0012] S4. Use the established face feature template to perform feature analysis on the face image of the person to be measured, and give a similarity value according to the analysis result. Through this value, it can be determined whether it is the same person, trigger the opening of the intelligent lock of the power warehouse, and the personnel recognition is linked to the automatic switch of the lights. The lights turn on when people come and turn off when people leave.

[0013] S5. When lending tools, the warehouseman logs in and authorizes through face recognition or swiping the employee ID card, selects the tools and equipment to be borrowed and the quantity. After confirming the identity is correct, the main control system automatically controls the intelligent lock to open.

[0014] S6. When returning tools and equipment, log in through face recognition or swiping the employee ID card. Automatically read the RFID information of the tools and equipment through the RFID tag information processor, automatically identify the tools and equipment, put the tools and equipment into the storage cabinet, confirm the successful return, and then the warehouse door will automatically close.

[0015] Specifically, the RFID tag information processor adopts data compression technology, and can understand the tool and equipment information by scanning the tag once, realizing accurate identification of tools and equipment and inventory counting.

[0016] Specifically, the main control system includes a PC and a switch output module, the output end of the PC is connected to the alarm through the switch output module, and the PC is communicatively connected to the RFID tag information processor.

[0017] Specifically, the RFID radio frequency tag includes a second antenna and a processor chip, and the processor chip is wirelessly connected to the RFID tag information processor via the antenna.

[0018] Specifically, the RFID tag information processor includes a main control chip, a communication interface and a first antenna. The main control chip is connected to the main control system through the communication interface, and the main control chip is connected to the RFID radio frequency tag through wireless communication through the first antenna.

[0019] Specifically, the PC is connected to the RFID tag information processor via RS232 communication.

[0020] The beneficial effects of the present invention are: through the tool in and out warehouse control solution based on RFID, face recognition, AI video recognition, intelligent sensing and other technologies, a "non-sensing" intelligent identification channel is provided for the daily storage and use of tools, the efficiency and standardization of daily management are improved, the management level of electric tools is comprehensively improved, and then the safety production of electric power is protected. Based on the warehouse control construction and related extensions, data collaboration is achieved with edge intelligent sensing terminals and safety tool data centers to build a seamless control system for the entire life cycle of electric safety tools, covering procurement and warehousing management, in and out warehouse management, use process management, inspection and test management, and data analysis. Through the Internet of Things and mobile Internet technology, the system automatically collects data from various links such as the use, return, inspection, and on-site use of safety tools, and realizes the traceability of the status information of the entire life cycle of electric safety tools. By summarizing and analyzing the grassroots application data, the configuration and use of the entire network can be accurately grasped, a tool health status evaluation system can be built, product family defects and safety hazards can be discovered in a timely manner, and the safety risk control ability can be improved to ensure personal safety. Based on RFID, facial recognition, Internet of Things, smart terminals and other advanced technical equipment, automatic registration of in and out of the warehouse and usage tracking and control are realized to improve work efficiency, ensure the consistency of accounts, cards and objects, and ensure that all data and information are complete, effectively prevent unqualified equipment or insufficient carrying, and strengthen safety risk warning.

[0021] Through the digital intelligent identification and control of tools and the informatization resource management, an intensive, efficient and intelligent power supply management and service mode is formed. Using RFID radio frequency tags in combination with face recognition and tool recognition devices, the digital label transformation and upgrade of tools is carried out to realize the intelligent identification of personnel and tools entering and leaving the warehouse. Based on business requirements, intelligent matching of personnel, materials and work orders is carried out to realize the non-sense requisition of tools, intelligent entry and exit records and accurate account checking. Build a modern and digital power supply station warehouse. Reduce the work burden of the warehouse management department, optimize the resource allocation of the power supply station, and improve the efficiency of resource investment. Detailed implementation manners

[0022] The technical solutions of the present invention will be described in detail below in conjunction with the specific implementation manners.

[0023] An automatic sorting method for tools in a power warehouse includes the following steps:

[0024] S1. Carry out digital label transformation on the tools, install or implant RFID radio frequency tags on all power tools in the warehouse respectively, and each RFID radio frequency tag corresponds to the complete information of the power tool to which it is attached and is collected and entered into the main control system through the RFID tag information processor;

[0025] S2. Adopt non-sense face recognition technology to realize the transformation of the automatic control intelligent lock;

[0026] S3. Enter the face recognition of all warehousing personnel into the main control system and establish a face feature template;

[0027] S4. Use the established face feature template to perform feature analysis on the face image of the person to be measured, and give a similarity value according to the analysis result. Through this value, it can be determined whether it is the same person, trigger the opening of the intelligent lock of the power warehouse, and the personnel recognition is linked to the automatic switch of the light. The light comes on when people come and goes off when people leave;

[0028] S5. When borrowing tools, the warehousing staff logs in and authorizes through face recognition or swiping the employee ID card, selects the tools and quantities to be borrowed, and after confirming the identity is correct, the main control system automatically controls the opening of the intelligent lock;

[0029] S6. When returning tools, log in through face recognition or swiping the employee ID card, automatically read the RFID information of the tool through the RFID tag information processor, automatically identify the tool, put the tool into the storage cabinet, confirm the successful return, and then the warehouse door will automatically close.

[0030] The regional feature analysis algorithm using face recognition integrates computer image processing technology and biostatistics principles. It uses computer image processing technology to extract portrait feature points from videos and uses biostatistics principles to analyze and establish a mathematical model, that is, a face feature template. The established face feature template is used to perform feature analysis on the face image of the person to be measured, and a similarity value is given according to the analysis result. Through this value, it can be determined whether it is the same person, triggering the opening of the intelligent lock of the power storage warehouse, and the personnel recognition is linked to the automatic switch of the lights, the lights turn on when people come and turn off when people leave.

[0031] In the present invention, the RFID tag information processor includes a main control chip, a communication interface, and a first antenna. The main control chip is communicatively connected to the main control system through the communication interface, and the main control chip is wirelessly communicatively connected to the RFID radio frequency tag through the first antenna. The RFID tag information processor adopts data compression technology, and can understand the tool information by scanning the tag once, realizing accurate tool identification and inventory counting, achieving fast and accurate tool identification and inventory counting, and realizing reliable, efficient, and accurate management of the tools in the warehouse.

[0032] The RFID radio frequency tag includes a second antenna and a processor chip. The processor chip is wirelessly communicatively connected to the RFID tag information processor through the antenna.

[0033] The main control system includes a PC and a digital output module. The output end of the PC is connected to the alarm through the digital output module, and the PC is communicatively connected to the RFID tag information processor. The PC is communicatively connected to the RFID tag information processor through the RS232 communication method. After the RFID tag information processor reads the RFID radio frequency tag set on the tool, it can obtain the relevant information of the tool, and then sends the relevant information to the main control system for corresponding processing. The main control system records the lending and returning information of the tool, and can also record the maintenance or good condition of the tool, so as to give an alarm prompt for the safety situation when lending and using. Then there is no need to record and transmit information through manual operation, which can greatly improve the convenience of operation, reduce the workload of staff, and improve work efficiency.

[0034] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that: it is still possible to modify the specific implementation manners of the present invention or perform equivalent replacements on some technical features; without departing from the spirit of the technical solutions of the present invention, they should all be covered within the scope of the technical solutions claimed by the present invention.

Claims

1. An automatic sorting method for tools and instruments in a power storage warehouse, characterized in that, The steps are as follows: S1. Digitally label the tools by installing or implanting RFID radio frequency tags on all electrical tools in the warehouse. Each RFID radio frequency tag corresponds to the complete information of the attached electrical tool, and the information is collected and entered into the main control system through the RFID tag information processor; S2. Use contactless face recognition technology to transform the automatic control intelligent lock; S3. Enter the face recognition of all warehousing personnel into the main control system and establish a face feature template; S4. Use the established face feature template to perform feature analysis on the face image of the person to be measured, and give a similarity value based on the analysis result. Through this value, it can be determined whether it is the same person, trigger the opening of the intelligent lock of the electrical warehouse, and the personnel recognition is linked to the automatic switch of the lights. The lights turn on when people come and turn off when people leave; S5. When borrowing tools, the warehousing staff logs in and authorizes through face recognition or swiping the employee ID card, selects the tools and quantity to be borrowed, and after confirming the identity is correct, the main control system automatically controls the opening of the intelligent lock; S6. When returning tools, log in through face recognition or swiping the employee ID card, automatically read the RFID information of the tool through the RFID tag information processor, automatically identify the tool, put the tool into the storage cabinet, confirm the successful return, and then the warehouse door will automatically close.

2. The automatic sorting method of power storage tools according to claim 1, characterized in that, The RFID tag information processor adopts data compression technology, scans the tag once to understand the tool information, and realizes accurate tool identification and inventory check.

3. The automatic sorting method for power storage warehouse tools according to claim 1, wherein The main control system includes a PC and a switch quantity output module. The output end of the PC is connected to the alarm through the switch quantity output module, and the PC is communicatively connected to the RFID tag information processor.

4. The automatic sorting method for tools in a power storage warehouse according to claim 1, wherein, The RFID radio frequency tag includes a second antenna and a processor chip, and the processor chip is wirelessly communicatively connected to the RFID tag information processor through the antenna.

5. The automatic sorting method for power storage tools according to claim 1, wherein The RFID tag information processor includes a main control chip, a communication interface, and a first antenna. The main control chip is communicatively connected to the main control system through the communication interface, and the main control chip is wirelessly communicatively connected to the RFID radio frequency tag through the first antenna.

6. The automatic sorting method for tools and instruments in a power storage warehouse according to claim 3, wherein, The PC is communicatively connected to the RFID tag information processor through the RS232 communication method.