Whole-process management method and system for intelligent port personnel training and electronic equipment

Abstract

The invention provides an intelligent port personnel training whole-process management method and system and electronic equipment, and relates to the technical field of computers, and the method comprises the steps: carrying out the information collection of related personnel entering a port area, and obtaining the whole-process data information of the related personnel; the whole-process data information comprises admission data information, training examination data information and video data information; according to the method, SSD target detection is carried out based on whole-process data information, CRC cyclic redundancy check is carried out on a detection result, and target personnel are determined, so that whole-process target tracking and identification are realized, the technical problems that a training mode in the prior art is relatively inflexible, the training flexibility is low, and the personnel management difficulty is high are solved, and the training efficiency is improved. The technical effects of personnel full-process management, training flexibility improvement and management difficulty reduction are achieved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a full-process management method, system and electronic equipment for smart port personnel training. Background Art

[0002] At present, the digital economy has entered a stage of rapid development, the digital transformation of traditional industries is accelerating, the digital economic infrastructure has achieved leapfrog progress, and new formats and models are booming. In the process of advancing digital transformation, the digitization of safety management can make up for many shortcomings in previous management, especially in safety education and training. In the traditional way, many companies lack consistency and uniformity in personnel training, examinations, assessments, and practical operations. The training content is mostly traditional, teaching PPT, key points of laws and regulations, etc. The requirements for the factory area are also explained based on the management system, and the examination and assessment adopt the method of answering questions on paper and manual marking, which has low overall efficiency.

[0003] At present, the port industry is still using traditional classroom teaching training. As the demand for smart port construction by port enterprises becomes more diversified and the smart construction business continues to advance, the personnel structure at the production site has become more complex, including not only its own employees and long-term contractors, but also more temporary contractors entering the site to carry out work. Different users have different ways and means of managing personnel. In other words, the existing technology used in the method of personnel training for smart port construction has technical problems such as relatively rigid training methods, low training flexibility, and difficulty in personnel management. Summary of the invention

[0004] The purpose of the present invention is to provide a full-process management method and system for smart port personnel training, so as to alleviate the technical problems existing in the prior art, such as relatively rigid training methods, low training flexibility and great difficulty in personnel management.

[0005] In a first aspect, an embodiment of the present invention provides a method for managing the entire process of smart port personnel training, which is applied to the management system for the entire process of smart port personnel training. The method includes:

[0006] Collect information on relevant personnel entering the port area and obtain full-process data information of the above-mentioned relevant personnel; the above-mentioned full-process data information includes: admission data information, training and assessment data information, and video data information;

[0007] Based on the above-mentioned full-process data information, SSD target detection is performed, and CRC cyclic redundancy check is performed on the detection results to determine the target personnel, so as to realize full-process target tracking and identification.

[0008] In some optional implementations, information is collected from relevant personnel entering the port area to obtain full-process data information of the relevant personnel, including:

[0009] Collect entry data information of relevant personnel entering the port area to obtain the entry data information of the above-mentioned relevant personnel; the above-mentioned entry data information includes: entry certificate information, personnel information verification results, and person-certificate verification sign-in information;

[0010] Collect entry post information of relevant personnel entering the port area, and obtain entry post information and job type information of the above-mentioned relevant personnel; the above-mentioned job type information includes trainees and staff;

[0011] Conduct full-process video collection on relevant personnel entering the port area to obtain full-process video data information of the above-mentioned relevant personnel.

[0012] In some optional implementations, the above method further includes:

[0013] Based on the above job information and the above admission position information, determine the positions of the above trainees;

[0014] Manage the training material library according to the positions of the above trainees, and update the above training material library to match the actual needs of the positions of the above trainees;

[0015] Based on the above job information and the above entry position information, determine the work scope of the above staff;

[0016] According to the above work scope and the pre-set plant hazard source information, the risk identification management rules are set and announced;

[0017] The assessment system is managed according to the updated training material library mentioned above.

[0018] In some optional implementations, the assessment system is managed according to the updated training material library, including:

[0019] According to the updated training material library, the test question bank is managed to realize test question management, global settings and test question settings;

[0020] The test paper information is managed according to the above test question bank to realize the test paper setting, question type setting and question drawing rule setting.

[0021] In some optional implementations, SSD target detection is performed based on the above-mentioned full-process data information, and a CRC cyclic redundancy check is performed on the detection result to determine the target person, including:

[0022] Based on the pre-set data extraction rules, the above-mentioned full-process data information is sampled;

[0023] The sampled data is classified and regressed through a convolutional neural network model to obtain classification results;

[0024] A CRC cyclic redundancy check is performed on each of the above classification results to determine the target person, so as to achieve target tracking and identification at each location.

[0025] In some optional implementations, based on pre-set data extraction rules, sampling the above-mentioned full-process data information includes:

[0026] The above-mentioned full-process data information is divided into different layers according to the stratified sampling principle; the above-mentioned stratified sampling principle includes: stratification according to data structure, field type, field label, and actual system application situation;

[0027] Random sampling is performed in different layers of the above-mentioned full-process data information.

[0028] In a second aspect, an embodiment of the present invention provides a full-process management system for smart port personnel training, the system comprising a personnel information management unit and an intelligent tracking and identification unit;

[0029] The personnel information management unit is used to collect information about relevant personnel entering the port area and obtain the full-process data information of the above-mentioned relevant personnel; the above-mentioned full-process data information includes: admission data information, training and assessment data information, and video data information;

[0030] The intelligent tracking and identification unit is used to perform SSD target detection based on the above-mentioned full-process data information, and perform CRC cyclic redundancy check on the detection results to determine the target person, so as to realize full-process target tracking and identification.

[0031] In some optional implementations, the above system further includes: an information early warning unit;

[0032] The information warning unit is used to match the corresponding warning level based on the recognition result of the intelligent tracking and recognition unit, and to perform information warnings of different levels.

[0033] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the steps of any one of the methods described in the first aspect are implemented.

[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores machine-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to execute any method described in the first aspect.

[0035] The present invention provides a full-process management method, system and electronic equipment for smart port personnel training. The method includes: collecting information on relevant personnel entering the port area, and obtaining full-process data information of the relevant personnel; the full-process data information includes: admission data information, training assessment data information, and video data information; SSD target detection is performed based on the full-process data information, and CRC cyclic redundancy check is performed on the detection results to determine the target personnel, so as to achieve full-process target tracking and identification, which solves the technical problems of the existing technical training methods being relatively rigid, low training flexibility, and great difficulty in personnel management, and achieves the technical effects of full-process personnel management, improving training flexibility, and reducing management difficulty. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A flowchart of a full-process management method for smart port personnel training provided by an embodiment of the present invention;

[0038] Figure 2 A flowchart of an application method combined with a full-process management system for smart port personnel training provided by an embodiment of the present invention;

[0039] Figure 3 A schematic diagram of the structure of another full-process management system for smart port personnel training provided by an embodiment of the present invention;

[0040] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0042] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. Some embodiments of the present invention are described in detail below in conjunction with the drawings. The following embodiments and features in the embodiments can be combined with each other without conflict.

[0044] At present, the digital economy has entered a stage of rapid development, the digital transformation of traditional industries is accelerating, the digital economic infrastructure has achieved leapfrog progress, and new formats and models are booming. In the process of advancing digital transformation, the digitization of safety management can make up for many shortcomings in previous management, especially in safety education and training. In the traditional way, many companies lack consistency and uniformity in personnel training, examinations, assessments, and practical operations. The training content is mostly traditional, teaching PPT, key points of laws and regulations, etc. The requirements of the factory area are also explained according to the management system, and the examination and assessment adopt the method of answering questions in the paper and manual marking, which has low overall efficiency. At present, the port field is still using traditional classroom teaching training. With the more diversified needs of port enterprises for smart port construction and the continuous advancement of smart construction business, the personnel structure at the production site has become more complex, including not only own employees and long-term contractors, but also more temporary contractors entering the site to carry out work. Different users have different ways and means of managing personnel. In other words, the existing technology used in the method of personnel training for smart port construction has technical problems such as relatively rigid training methods, low training flexibility, and difficult personnel management.

[0045] With the increasing demand for smart port construction and the development of technologies such as big data, private cloud, and cloud desktop, the conditions for forming an autonomous and controllable full-business system by using a series of technical solutions such as identity authentication, face recognition, scenario-based training content, online examinations, and one-click certificate issuance have become reliable.

[0046] Based on this, an embodiment of the present invention provides a full-process management method and system for smart port personnel training to alleviate the technical problems existing in the prior art, such as relatively rigid training methods, low training flexibility, and great difficulty in personnel management.

[0047] To facilitate understanding of this embodiment, firstly, a full-process management method for smart port personnel training disclosed in an embodiment of the present invention is described in detail, see Figure 1 The flowchart of a method for managing the whole process of smart port personnel training is shown. The method is applied to the whole process management system of smart port personnel training and can be executed by an electronic device. The method mainly includes the following steps S110 to S120:

[0048] S110: Collect information on relevant personnel entering the port area and obtain full-process data information of relevant personnel; the full-process data information includes: entry data information, training and assessment data information, and video data information;

[0049] S120: Perform SSD target detection based on the full-process data information, and perform CRC cyclic redundancy check on the detection results to determine the target person, so as to achieve full-process target tracking and identification.

[0050] In one embodiment, information is collected from relevant personnel entering the port area to obtain full-process data information of the relevant personnel, including:

[0051] Collect entry data information of relevant personnel entering the port area and obtain entry data information of relevant personnel; entry data information includes: entry certificate information, personnel information verification results, and person-certificate verification sign-in information;

[0052] Collect entry post information of relevant personnel entering the port area, and obtain entry post information and job type information of relevant personnel; job type information includes trainees and staff;

[0053] Conduct full-process video collection on relevant personnel entering the port area to obtain full-process video data information of relevant personnel.

[0054] In one embodiment, the method further includes:

[0055] Determine the positions of trainees based on job type information and entry position information;

[0056] Manage the training material library according to the positions of trainees and update the training material library to match the actual needs of trainees' positions;

[0057] Determine the work scope of the staff based on the job type information and entry position information;

[0058] Set and announce risk identification management rules based on the scope of work and pre-set plant hazard information;

[0059] Manage the assessment system according to the updated training material library.

[0060] In one embodiment, the assessment system is managed according to the updated training material library, including:

[0061] Manage the exam question bank based on the updated training material library to achieve question management, global settings and question settings;

[0062] The test paper information is managed according to the test question bank to achieve test paper setting, question type setting, and question drawing rule setting. In one embodiment, SSD target detection is performed based on the full process data information, and a CRC cyclic redundancy check is performed on the detection result to determine the target personnel, including:

[0063] Based on the pre-set data extraction rules, sample the whole process data information;

[0064] The sampled data is classified and regressed through a convolutional neural network model to obtain classification results;

[0065] A CRC cyclic redundancy check is performed on each classification result to determine the target person, so as to achieve target tracking and identification at each location.

[0066] In one embodiment, sampling the full-process data information based on a pre-set data extraction rule includes:

[0067] Divide the whole process data information into different layers according to the stratified sampling principle; the stratified sampling principle includes: stratification based on data structure, field type, field label, and actual system application situation;

[0068] Random sampling is performed at different layers of data information throughout the entire process.

[0069] The present invention provides a full-process management method for smart port personnel training. By collecting information on relevant personnel entering the port area, the full-process data information of the relevant personnel is obtained, and then SSD target detection is performed based on the full-process data information. CRC cyclic redundancy check is performed on the detection results to determine the target personnel, so as to achieve full-process target tracking and identification, which solves the technical problems of the existing technical training methods being relatively rigid, low training flexibility, and great difficulty in personnel management, and achieves the technical effects of full-process personnel management, improving training flexibility, and reducing management difficulty.

[0070] As a specific example, combining Figure 2 As shown, the present invention is based on the intelligent tracking, identification and early warning technology of the entire process of smart port personnel training and examination. By deploying and applying private cloud and cloud desktop technology, identity authentication, face recognition, scenario-based training content, online examinations, one-click certificate issuance and other functions are integrated with the actual management points in the factory to form a realistic training system, thereby realizing electronic file traceability and information sharing throughout the entire process of training, examinations and business scenarios.

[0071] Software development relies on a private cloud platform, and the new and efficient and flexible B / S model establishes a training material library and a test question bank. The training and assessment are carried out step by step with emphasis on the key points according to the order of general safety training, job training, construction equipment training, typical accident case training, common safety accident animation training and on-site hazard source list. Combined with industry requirements and the company's past experience, an examination question database is established. Only when the trainees have completed the previous training can they enter the examination stage. The examination content is linked to the training content in real time to ensure that what is trained is what is tested.

[0072] As a specific example, combining Figure 2 As shown in the figure, information collection of relevant personnel entering the port area and acquisition of full-process data information of relevant personnel can be achieved through the full-process information platform, that is, the full-process information platform includes the following information collection units: personnel information verification, identity verification and sign-in, data sharing information, training material information, site risk identification, test question bank information, test paper information, and entry certificate information. After obtaining the corresponding information, the above-mentioned information collection units uniformly decompose the information into a table, that is, extract the unified information and fill it into a pre-defined table, and then the full-process information platform performs subsequent processing.

[0073] This embodiment includes the following key processes:

[0074] 1) Full-process system construction

[0075] This embodiment uses digital on-site personnel management to better support the construction of smart ports. By building a training platform system, establishing personnel information verification, training material library, examination question bank, personnel field reward and punishment record information library, etc., it fully records the full process management data and assessment and evaluation data of trainees in the field area, and achieves the goal of building a full-process system.

[0076] (1) Personnel information verification;

[0077] After the personnel admission materials are imported into the system according to the format requirements or the personnel log in to the system to enter the materials according to the format requirements, the system will automatically archive and match the previous personnel admission information, violation information, and penalty information, and will not allow the various types of unqualified personnel to enter the training venue. The information of unqualified personnel is reserved for interfaces with other systems, and this system realizes the function of manual information entry.

[0078] (2) ID verification and sign-in;

[0079] When people enter the venue, their ID card information and photo information are compared with the information extracted from the entry ID card and video recognition equipment, and information technology is used to verify and sign in people.

[0080] The ID card recognition device uses mainstream domestic products. The product has passed China's testing and certification. It is a multifunctional intelligent device that integrates live face recognition, body temperature detection, fingerprint recognition, second-generation ID card verification, and OCR recognition. It can read ID card / passport / social security card and other ID card information, and compare it with the fingerprint / face information collected on site to realize ID card verification. At the same time, it supports face recognition with masks, detection reminders for not wearing masks, non-contact rapid human temperature detection, registration, upload and other functions. It has been applied to government affairs, finance, education, transportation, medical care, social security and other industries that require real-person verification.

[0081] (3) Data sharing;

[0082] The data asset center includes data cataloging management, metadata management, dictionary management, inventory of platform data assets, construction of data asset catalog, management of platform metadata, sorting out data lineage relationships, data maps, and data dictionaries.

[0083] (4) Training materials management;

[0084] Manage training materials, label training materials, add, delete, modify and check materials, and set training material management rules based on personnel positions and types of work to meet the actual needs of the training participants' positions.

[0085] (5) Site risk identification;

[0086] It can input / import the hazardous source list of the factory area, and perform addition, deletion, modification and check, and set the risk identification management rules according to the personnel entry positions, work scope, hazardous source location information, etc., to meet the actual needs of the training personnel's positions.

[0087] (6) Examination question bank management;

[0088] Manage knowledge points, set question types, manage question bank information, manage exam categories, and set exam paper management rules. Including question management, global settings, question settings, etc.

[0089] (7) Examination paper management;

[0090] Manage test paper information, including random test papers, manual test papers, and fixed (random) test papers. Administrators can set test papers, question types, and question drawing rules.

[0091] (8) Certificate management;

[0092] Score confirmation and certificate printing: You can set up the test score to be associated with one-click certificate issuance, or you can set up the administrator to ultimately review the score and print the certificate with one click.

[0093] Combination Figure 2As shown, after the full-process information platform completes the full-process information collection of personnel entering the port, intelligent tracking, identification and information warning are carried out inside the port based on the collected personnel information. Intelligent tracking and identification specifically include: first, extracting the collected information, and performing multi-target decomposition in combination with algorithm authentication for the extracted feature information, and importing the results into the full-process information library; then calling the platform data information, completing multi-target data comparison, and sending positive feedback to the full-process information platform. Information warning specifically includes: based on the results of multi-target data comparison, tuning the platform algorithm, and outputting warning information after information analysis; wherein, the results of information analysis after algorithm tuning are bidirectionally fed back to the full-process information platform, and outputting warning information to send positive feedback to the platform. This embodiment specifically includes the following key processes:

[0094] 2) Intelligent tracking and identification technology

[0095] Intelligent tracking and recognition technology uses advanced data analysis computing models, video image recognition, image analysis and tracking technologies, combined with precise authentication algorithm technology, to achieve continuous and rapid tracking and capture of targets in full-process scenarios.

[0096] The main idea of ​​the data analysis and calculation model is to adopt the SSD+CRC hybrid design method. At the SSD level, various types of information obtained through the front end cover the entire process of training and examination data (including personnel entry data information, examination process data information, video data information, examination result data information, and various text, pictures and other data information associated with the system). According to the set data extraction rules, dense sampling is performed at different positions of the data information. Different scales and byte width ratios can be used during sampling. The CNN convolutional neural network method is used to extract the effective features of the sampling and then directly perform classification and regression. The entire calculation process is quickly calculated in a fixed mode. When the result calculation is completed, each result is individually called by the CRC method for redundant verification, and the principle of CRC is used to detect errors in the calculation method.

[0097] When this embodiment enters the system embedded application, the service sending end collects information and performs SSD calculation, calculates the CRC value and sends it together with the data to the service receiving end, and the service receiving end recalculates the CRC of the received data and compares it with the received CRC. If the two CRC values ​​are the same, the sampling retrieval service is completed, and the main routine is entered to wait for the results of other sampling retrieval services. The main routine then performs a comprehensive result judgment of all sampling. If the main routine comprehensive result judges that the final CRC value identical rate reaches 100%, all data retrieval is normal and the information warning link is jumped out; if the main routine all sampling comprehensive judgment results CRC identical rate does not reach 100%, different levels of information warnings are performed according to different warning levels.

[0098] Intelligent tracking and identification technology can accurately scan and obtain data information within the entire process scenario, digitize the specific targets identified by the system according to the system-set strategies and algorithms, and then decompose them into multiple targets. The digital labels generated by different targets are used to detect, compare and analyze the data information of the entire process scenario, and the relevant functions are executed in the entire process system scenario.

[0099] 3) Information early warning technology

[0100] Through intelligent analysis of video information collected from training classroom cameras, identity verification equipment cameras, and external sources, data collection and classification of abnormal behaviors and events such as violations, prohibited entry, and venue irregularities are automatically carried out, and alarms are triggered. At the same time, the background can see the analysis data and image information in real time, and the system can extract information and collect evidence through event retrieval.

[0101] In addition, the embodiment of the present invention also provides a full-process management system for smart port personnel training, see Figure 3 As shown, the system includes a personnel information management unit 310 and an intelligent tracking and identification unit 320;

[0102] The personnel information management unit is used to collect information about relevant personnel entering the port area and obtain the full-process data information of relevant personnel; the full-process data information includes: admission data information, training and assessment data information, and video data information;

[0103] The intelligent tracking and identification unit is used to perform SSD target detection based on the full-process data information, and perform CRC cyclic redundancy check on the detection results to determine the target personnel, so as to realize full-process target tracking and identification.

[0104] In one embodiment, the system further includes: an information warning unit; the information warning unit is used to match corresponding warning levels based on the recognition results of the intelligent tracking and recognition unit, and to perform information warnings of different levels.

[0105] The full-process management system for smart port personnel training provided in the embodiment of the present application can be specific hardware on the equipment or software or firmware installed on the equipment, etc. The implementation principle and technical effects of the device provided in the embodiment of the present application are the same as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding contents in the aforementioned method embodiment. Technical personnel in the relevant field can clearly understand that for the convenience and conciseness of the description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. The full-process management system for smart port personnel training provided in the embodiment of the present application has the same technical features as the full-process management method for smart port personnel training provided in the above embodiment, so it can also solve the same technical problems and achieve the same technical effects.

[0106] The full-process management method and system for smart port personnel training provided in the embodiment of the present application are cost-effective, adopt a cloud desktop solution, and provide a high-performance, low-cost computing + storage solution through virtual storage technology, which can achieve independent storage effects while saving construction costs; it realizes continuous and rapid tracking of targets, and the system adopts an SSD+CRC hybrid design method. The use of efficient caching technology can improve system performance by many times, achieve continuous and rapid tracking of targets, and ensure smooth experience of system functions; it has strong anti-interference ability, and the system relies on a unique target decomposition algorithm to achieve strong anti-interference ability. At the same time, the adaptive target background map algorithm can be used to update the background in real time to filter out interference for stable tracking; it has high stability, adopts a full cluster architecture design, and both the hardware and software structures have redundant deployment mechanisms. The software data transmission and communication mechanisms all use redundant technology, which can realize automatic fault migration and ensure stable system operation; the system adopts full trusted innovation technology, from hardware equipment to databases, operating systems, etc., all use trusted innovation domestic environment to ensure product autonomy and controllability.

[0107] An embodiment of the present application further provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned embodiments.

[0108] Figure 4 A structural schematic diagram of an electronic device provided in an embodiment of the present application, the electronic device 400 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected via the bus 42; the processor 40 is used to execute an executable module stored in the memory 41, such as a computer program.

[0109] The memory 41 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0110] The bus 42 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0111] Among them, the memory 41 is used to store programs, and the processor 40 executes the program after receiving the execution instruction. The method executed by the process definition device disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 40 or implemented by the processor 40.

[0112] The processor 40 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 40. The above processor 40 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor to execute, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the above method in combination with its hardware.

[0113] Corresponding to the above method, an embodiment of the present application also provides a computer-readable storage medium, which stores machine-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the steps of the above method.

[0114] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0117] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, electronic device, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0118] It should be noted that similar numbers and letters represent similar items in the accompanying drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0119] 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 it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A full-process management method for smart port personnel training, characterized in that: Applied to the whole process management system of smart port personnel training, the method includes: Collect information on relevant personnel entering the port area to obtain full-process data information of the relevant personnel; the full-process data information includes: admission data information, training and assessment data information, and video data information; SSD target detection is performed based on the full-process data information, and a CRC cyclic redundancy check is performed on the detection results to determine the target personnel, so as to achieve full-process target tracking and identification.

2. The whole process management method of smart port personnel training according to claim 1 is characterized in that: Collect information about relevant personnel entering the port area and obtain the full-process data information of the relevant personnel, including: Collecting admission data information of relevant personnel entering the port area to obtain the admission data information of the relevant personnel; the admission data information includes: admission certificate information, personnel information verification results, and person-certificate verification sign-in information; Collect entry post information of relevant personnel entering the port area, and obtain entry post information and job type information of the relevant personnel; the job type information includes trainees and staff; Conduct full-process video collection on relevant personnel entering the port area to obtain full-process video data information of the relevant personnel.

3. The whole process management method of smart port personnel training according to claim 2 is characterized in that: The method further comprises: Determine the position of the trainee based on the job type information and the admission position information; Managing the training material library according to the positions of the trainees, and updating the training material library to match the actual position needs of the trainees; Determine the work scope of the staff member based on the job type information and the entry position information; According to the scope of work and the pre-set plant hazard source information, the risk identification management rules are set and announced; The assessment system is managed according to the updated training material library.

4. The whole process management method of smart port personnel training according to claim 3 is characterized in that: According to the updated training material library, the assessment system is managed, including: According to the updated training material library, the examination question bank is managed to realize examination question management, global setting and examination question setting; The test paper information is managed according to the test question bank to implement test paper setting, question type setting, and question drawing rule setting.

5. The whole process management method of smart port personnel training according to claim 1 is characterized in that: Based on the full process data information, SSD target detection is performed, and CRC cyclic redundancy check is performed on the detection result to determine the target personnel, including: Based on the pre-set data extraction rules, sampling the full process data information; The sampled data is classified and regressed through a convolutional neural network model to obtain classification results; A CRC cyclic redundancy check is performed on each of the classification results to determine the target person, so as to achieve target tracking and identification at each location.

6. The whole process management method of smart port personnel training according to claim 5 is characterized in that: Based on the pre-set data extraction rules, sampling the full process data information includes: Divide the whole process data information into different layers according to the stratified sampling principle; the stratified sampling principle includes: stratification according to data structure, field type, field label, and actual system application situation; Random sampling is performed in different layers of the full-process data information.

7. A full-process management system for smart port personnel training, characterized in that: The system includes a personnel information management unit and an intelligent tracking and identification unit; The personnel information management unit is used to collect information about relevant personnel entering the port area and obtain the full-process data information of the relevant personnel; The full-process data information includes: admission data information, training assessment data information, and video data information; The intelligent tracking and identification unit is used to perform SSD target detection based on the full-process data information, and perform CRC cyclic redundancy check on the detection results to determine the target person, so as to realize full-process target tracking and identification.

8. The smart port personnel training full-process management system according to claim 7 is characterized in that: The system further comprises: an information early warning unit; The information warning unit is used to match corresponding warning levels based on the recognition result of the intelligent tracking and recognition unit, and to perform information warnings of different levels.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores machine executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method according to any one of claims 1 to 6.

Images