A building project laborer full-life-cycle digital management method and device and medium

Abstract

This invention discloses a method, device, and medium for digital management of the entire lifecycle of construction project workers, including: publishing labor recruitment information based on project progress; automatically verifying the identity and qualifications of workers to obtain compliance review results; signing electronic labor contracts based on passing compliance review results; uploading the hash value of the electronic labor contracts to a blockchain network to obtain the workers' entry qualifications; for workers with entry qualifications, obtaining attendance data through attendance tracking; obtaining performance scores based on tiered training and performance appraisal and implementing dynamic management; collecting blood pressure and heart rate to obtain physiological parameters; responding to departure trigger events, verifying the workers' departure to obtain verification results; triggering smart contracts based on passing verification results; automatically settling wages according to attendance data and performance scores; encrypting and archiving departure records; and analyzing the entire lifecycle data to generate recruitment strategies and training plans.

Description

Technical Field

[0001] This invention discloses a method, device, and medium for digital management of the entire life cycle of construction project workers, belonging to the field of digital life cycle technology. Background Technology

[0002] Traditional construction labor management employs a fragmented approach. The recruitment phase relies on paper-based document verification and offline contract signing. On-site management is conducted in a crude manner through access control cards and manual attendance. Salary settlement is prone to disputes at the departure stage, and data from each stage is isolated and cannot form a closed-loop optimization. Although existing information systems have digitized some aspects, they lack dynamic tracking of the entire life cycle of workers, real-time intervention for health risks, and tamper-proof evidence storage based on blockchain. As a result, it is difficult to solve the problems of frequent labor disputes, high accident rates, and low management efficiency.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a digital management method, device, and medium for the entire lifecycle of construction workers, aiming to at least solve the technical problems in existing construction labor management methods, such as unauthorized entry due to lax identity verification, proxy clocking and absenteeism due to limited attendance and location methods, inability to promptly shut down equipment to ensure personnel safety during high-risk operations due to lack of real-time monitoring of physiological parameters, disputes arising from reliance on manual calculation for salary settlement, and the inability to form a closed-loop optimization decision-making mechanism due to fragmented data across management stages.

[0005] According to one aspect of the present invention, in order to achieve the above-mentioned objective, a method for digital management of the entire life cycle of construction project workers is provided, comprising:

[0006] Based on the project progress, labor recruitment information is released, and the identity and qualifications of laborers are automatically verified to obtain compliance review results. If the compliance review results are passed, an electronic labor contract is signed, and the hash value of the electronic labor contract is uploaded to the blockchain network to obtain the laborer's entry qualification.

[0007] For qualified workers, attendance data is obtained through attendance tracking, performance scores are obtained based on graded training and performance appraisal and dynamic management is implemented, physiological parameters such as blood pressure and heart rate are collected, and work interruption instructions are generated to cut off the power source of high-risk equipment in response to any parameter exceeding the threshold, and rescue dispatch instructions are generated based on real-time location.

[0008] In response to a departure trigger event, the system verifies the departure of workers to obtain the verification results. Based on the verification results, the system triggers a smart contract to automatically calculate wages according to attendance data and performance scores, and encrypts and archives the departure files. The system also analyzes the full lifecycle data to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or illegal dismissal.

[0009] Furthermore, compliance audit results are obtained based on automated verification, including:

[0010] The system collects ID cards, special operation certificates, health certificates, and skill level certificates through a human verification terminal.

[0011] Automatically compare the validity period of ID cards, special operation certificates, health certificates, and skill level certificates with the official database to obtain the validity period comparison results;

[0012] Based on the validity period comparison results, the consistency between the certificate holder and the photo on the ID card is verified to obtain the result of identity verification.

[0013] Furthermore, signing an electronic employment contract includes generating an electronic employment contract with a digital signature in response to a successful compliance audit.

[0014] Furthermore, based on attendance location to obtain attendance data, including:

[0015] Achieve seamless attendance tracking by using location services to obtain attendance records;

[0016] The location of workers can be tracked in real time through attendance and location tracking to obtain location trajectory data;

[0017] In response to the detection of abnormal absences or failure to clock in within the specified time based on clock-in records and location trajectory data, an early warning message is generated.

[0018] Furthermore, based on the generation of early warning information, it also includes:

[0019] The notification will be sent to both the workers' terminals and the monitoring center.

[0020] Violation records will be synchronized to the workers' personal electronic files.

[0021] Furthermore, performance scores are obtained based on tiered training and performance appraisal, including:

[0022] Pre-job theoretical training and pre-job practical training are set up based on the job risk level to obtain pre-job assessment results;

[0023] Establish daily pre-shift risk briefings to obtain briefing confirmation records;

[0024] Specialized skills training for special operations is provided to obtain specific assessment results;

[0025] Link the pre-employment assessment results, briefing confirmation records, and special assessment results to the electronic files of the workers to obtain training qualification records;

[0026] Based on the construction progress completion rate, quality acceptance pass rate, and safety compliance inspection records, a performance score is generated quantitatively.

[0027] Furthermore, after obtaining physiological parameters based on collected blood pressure and heart rate, the following is also included:

[0028] Blood pressure and heart rate indicators are linked to the real-time location of workers and stored on a blockchain network to obtain health certificate data.

[0029] According to one embodiment of the present invention, a digital management device for the entire life cycle of construction project workers is also provided, comprising:

[0030] The recruitment access unit is used to release labor recruitment information based on project progress, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications;

[0031] The on-site control unit is used to obtain attendance data by tracking and locating qualified workers, obtain performance scores based on graded training and performance appraisal and implement dynamic control, collect blood pressure and heart rate to obtain physiological parameters, generate work interruption instructions to cut off the power source of high-risk equipment in response to any parameter exceeding the threshold, and generate rescue dispatch instructions based on real-time location.

[0032] The departure and optimization unit is used to respond to departure trigger events, verify the departure of workers to obtain verification results, and based on the verification results, automatically calculate wages according to attendance data and performance scores by triggering smart contracts, encrypt and archive departure files, and analyze full life cycle data to generate recruitment strategies and training plans; wherein, departure trigger events include at least one of voluntary application, contract expiration, or illegal dismissal.

[0033] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0034] According to another aspect of the present invention, an electronic device is provided, comprising:

[0035] One or more processors;

[0036] Memory for storing the one or more processor-executable instructions;

[0037] Wherein, the one or more processors are configured as follows:

[0038] Perform the method described in the first aspect of the embodiments of the present invention.

[0039] In this embodiment of the invention, by signing electronic labor contracts based on compliance audit results and uploading hash values ​​to the blockchain, the immutable and traceable verification of entry qualifications is achieved. Attendance data is obtained through attendance tracking and location tracking, and performance scores are generated and dynamically managed in conjunction with tiered training and performance appraisal. Simultaneously, physiological parameters such as blood pressure and heart rate are collected to generate work interruption commands when thresholds are exceeded, enabling proactive safety intervention in high-risk work scenarios. By triggering smart contracts for automatic salary settlement through departure verification, and by analyzing data throughout the entire lifecycle to generate recruitment strategies and training plans, a digital closed-loop management system is formed, from recruitment and on-site management to departure optimization. This significantly improves the safety, compliance, and efficiency of labor management, thereby solving the technical problems in existing construction labor management methods, such as unauthorized entry due to lax identity verification, proxy clocking and absenteeism due to the single method of attendance and location tracking, inability to promptly interrupt equipment to ensure personnel safety in high-risk operations due to the lack of real-time monitoring of physiological parameters, disputes arising from manual salary settlement, and the inability to form closed-loop optimization decisions due to data fragmentation at each management stage. Attached Figure Description

[0040] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0041] Figure 1 This is a flowchart of a digital management method for the entire life cycle of construction project workers according to one embodiment of the present invention;

[0042] Figure 2 This is a structural block diagram of a digital management device for the entire life cycle of construction project workers according to one embodiment of the present invention. Detailed Implementation

[0043] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0044] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0045] According to an embodiment of the present invention, a method for digital management of the entire life cycle of construction project workers is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer device such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0046] This method embodiment can be executed in an electronic device or similar computing device that includes a memory and a processor. Taking operation on a vehicle terminal as an example, the vehicle terminal may include one or more processors (processors may include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), digital signal processing (DSP) chips, microcontroller units (MCUs), field-programmable gate arrays (FPGAs), neural network processors (NPUs), tensor processors (TPUs), artificial intelligence (AI) type processors, etc.) and a memory for storing data. Optionally, the vehicle terminal may also include transmission devices, input / output devices, and display devices for communication functions. Those skilled in the art will understand that the above structural description is merely illustrative and does not limit the structure of the vehicle terminal. For example, the vehicle terminal may include more or fewer components than described above, or have a different configuration than described above.

[0047] The memory can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the digital management method for the entire lifecycle of construction project laborers in this embodiment of the invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, thereby realizing the aforementioned digital management method for the entire lifecycle of construction project laborers. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0048] The transmission device is used to receive or send data via a network. Specific examples of the network mentioned above may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0049] Display devices can be, for example, touchscreen liquid crystal displays (LCDs) and touch displays (also referred to as "touchscreens" or "touch displays"). The LCD allows users to interact with the user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), which allows users to interact with the GUI through finger contact and / or gestures on a touch-sensitive surface. Optional human-computer interaction functions include: creating web pages, drawing, word processing, creating electronic documents, playing games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital video, playing digital music, and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in one or more processor-executable computer program products or readable storage media.

[0050] Figure 1 This is a flowchart of a digital management method for the entire lifecycle of construction project workers according to one embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0051] Step S110: Based on the project progress, release labor recruitment information, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on the compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications. The specific steps are as follows:

[0052] In step S110, the project management platform automatically generates and publishes labor recruitment information based on the overall construction schedule and the actual needs of different trades. This information specifies the required job types, skill levels, qualification requirements, and health standards, and is pushed to potential workers via mobile devices or the web.

[0053] Subsequently, an automatic verification process for the identity and qualifications of the workers is initiated. Workers use a verification terminal to read images of their ID card, special operation certificate, health certificate, and skill level certificate. The system automatically compares the name and document number on the documents with the official database to verify the validity period. Simultaneously, the terminal's built-in camera captures a real-time facial image of the worker and cross-compares it with the ID photo, outputting a consistency result. If the document has expired, the document information does not match the database, or the facial comparison fails, the compliance review is deemed unsuccessful, the worker is directly blocked, and a notification message is issued.

[0054] When the aforementioned automatic verification results in a successful compliance audit, the electronic labor contract signing process is further executed. Specifically, an electronic labor contract text is automatically generated based on a preset contract template, project employment terms, and the worker's identity information. A legally binding electronic signature is then affixed to the contract using a digital signature service. After signing, the hash value of the electronic labor contract is uploaded to a consortium blockchain or public blockchain via a blockchain network node, forming an immutable record. Once the hash value is successfully uploaded, a unique access qualification identifier is generated for the worker, and this identifier is linked to and stored in conjunction with the worker's facial features and electronic file. This completes the granting of access qualification, granting the worker permission to enter the construction site.

[0055] Step S120: For qualified workers, attendance data is obtained through attendance tracking and location tracking. Performance scores are obtained based on tiered training and performance appraisal, and dynamic management is implemented. Physiological parameters such as blood pressure and heart rate are collected. In response to any parameter exceeding a threshold, a work interruption command is generated to cut off the power source of high-risk equipment. A rescue dispatch command is generated based on real-time location. The specific steps are as follows:

[0056] In step S120, for workers who have obtained entry qualifications, a fully digital attendance and location management system is initiated after they enter the construction site. Specifically, workers clock in seamlessly each day using an attendance module installed at the site entrance or on a mobile terminal. This module uses biometric recognition technology to automatically collect facial features and compare them with a face template associated with their entry qualifications to generate a clock-in record. Simultaneously, a wearable positioning device tracks the workers' spatial location in real time. This device can be integrated into a positioning tag on a safety helmet or work badge, forming continuous location trajectory data. When abnormal absence from duty or failure to clock in within the specified working hours is detected based on the clock-in records and location trajectory data, an alert is automatically generated containing the worker's identity, event type, and time of occurrence, and pushed to the mobile terminal of the site management personnel. Abnormal absence from duty refers to workers leaving the designated work area without authorization for more than a set time; failure to clock in within the specified time refers to no clock-in record during the morning or afternoon clock-in period.

[0057] Further implement tiered safety training, assessment, and dynamic management. Upon initial entry into the work area, workers are automatically assigned pre-job theoretical training courses and on-site practical assessments based on the risk level of their job. Risk levels include high-altitude operations, hot work, and general operations. Workers must complete all courses and pass the practical assessment before entering the work area. Every day before the shift, workers receive a daily risk briefing via voice broadcast or mobile push notification, requiring them to confirm receipt and create a briefing confirmation record. For workers engaged in special operations, an additional specialized skills training module is provided, requiring them to regularly complete refresher training and pass specialized assessments. Special operations include high-altitude operations and electric welding. All training records and assessment results are linked to the workers' electronic files in real time.

[0058] Performance scores are generated weekly or monthly based on construction progress completion rate, quality acceptance pass rate, and safety compliance inspection records. The construction progress completion rate is the ratio of the actual amount of work completed by the worker to the planned amount; the quality acceptance pass rate is the first-time acceptance rate for the section the worker participated in; and the safety compliance inspection records document whether any violations or failure to wear protective equipment occurred during daily inspections. This performance score serves not only as a basis for salary calculation but also for dynamically adjusting job assignments. Specifically, workers whose performance scores are below a set threshold for three consecutive months will be automatically marked as requiring retraining and their eligibility for key positions will be suspended; workers with excellent performance scores will have priority for reassignment to highly skilled jobs.

[0059] In terms of health risk monitoring, smart bracelets worn by workers or physiological sensors integrated into their safety equipment continuously collect physiological parameters such as blood pressure and heart rate, and upload them to the backend in real time via short-range wireless communication. Dynamic thresholds for each parameter are preset, such as a heart rate exceeding 140 beats per minute or a systolic blood pressure exceeding 140 mmHg for more than five minutes. When any collected physiological parameter exceeds the corresponding threshold, the work risk is deemed unacceptable, and a work interruption command is generated. This command directly triggers the control logic of the high-risk equipment operated by the worker via a wireless control protocol, forcibly cutting off the equipment's power source and immediately stopping its operation. High-risk equipment includes tower cranes, construction hoists, and welding machines. Simultaneously, based on real-time location tracking, the worker's precise location is obtained, and a rescue dispatch command is automatically generated, including the worker's identity, current location, and the type and value of abnormal physiological parameters. This command is simultaneously sent via audio and text to the site medical duty terminal, the on-site safety officer's mobile terminal, and the project emergency command center, ensuring that rescue resources can reach the incident site in the shortest possible time.

[0060] Step S140: In response to the departure trigger event, the departure of the worker is verified to obtain the verification result. Based on the verification result, the smart contract is triggered to automatically calculate the salary according to the attendance data and performance score, and the departure file is encrypted and archived. The entire life cycle data is analyzed to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or violation-related dismissal. The specific steps are as follows:

[0061] In step S140, when a worker needs to leave the project for any reason, the type of departure trigger event is first detected. Departure trigger events include at least one of the following: the worker voluntarily submits a departure application, the labor contract expires automatically, or the worker is removed from the site due to violations. If the worker voluntarily applies to leave, they can fill out a departure application form via a mobile terminal or on-site self-service terminal, recording the application time and reason. If the work period stipulated in the labor contract expires, the contract expiration event is automatically marked as a departure trigger condition. If a worker commits serious violations during construction, such as multiple violations or failure to pass safety retraining, they can be marked as being removed due to violations according to management regulations.

[0062] In response to any of the aforementioned departure trigger events, the departure verification process is immediately initiated. Departure verification includes checking the completeness of the worker's attendance records, whether there are any unfinished work tasks or unreturned equipment and materials, whether there are any outstanding violations or unresolved safety hazard rectification issues, and whether there are any disputes with other personnel or the project party. By accessing the worker's electronic file, each of the above verification elements is compared to generate a departure verification result. Only when all verification items meet the requirements is the verification result considered passed; if any item fails verification, a failure result is output along with a detailed list of failures, and the departure process is suspended until the relevant matters are resolved.

[0063] Provided the verification result is successful, a smart contract pre-deployed on the blockchain network is automatically triggered. The smart contract specifies the salary calculation formula, settlement cycle, and payment account information. Based on the worker's actual attendance data, including working hours during normal working hours, overtime hours, and holiday hours, as well as their historical performance rating, the total salary payable is automatically calculated according to the rules defined in the smart contract. After deducting legally mandated deductions, the net pay is obtained. The smart contract automatically initiates a transfer to the worker's linked bank electronic account and synchronizes the transfer record and electronic payslip to the worker's personal center and blockchain evidence. The entire settlement process requires no manual intervention, and all operation records are stored on the blockchain, ensuring the transparency and immutability of salary settlement.

[0064] Upon completion of settlement, all electronic files of the worker, including identity information, qualification certificates, training records, attendance data, performance ratings, reward and punishment records, pay slips, and health monitoring data, will be packaged and encrypted to form a departure archive dataset. This archive dataset will be stored encrypted using a preset encryption algorithm and can only be accessed by authorized personnel after verification. Simultaneously, key characteristics such as the worker's skill level, performance, and specialized training results will be included in the company's talent pool for future cross-project use or priority recruitment.

[0065] Further multi-dimensional analysis of the entire lifecycle data is conducted. Specifically, indicators such as the turnover rate of all departing workers, training coverage rate for each job type, departure rate due to safety accidents or health problems, and wage compliance rate are statistically analyzed within a certain period, generating a visual analysis report. Based on the big data analysis results, recruitment strategies are automatically optimized. For example, if a certain job type frequently suffers from low performance due to insufficient skills, the skill requirements for that job are increased or the pre-job assessment difficulty is increased in subsequent recruitment information. At the same time, training plans are adjusted. For example, if data shows that violations by workers operating at heights occur frequently in a specific training batch, the practical assessment standards for that batch are strengthened or the frequency of retraining is increased. In this way, a complete closed-loop management system is formed from recruitment and on-site management to departure optimization, continuously improving the level of digital management of construction project workers.

[0066] Based on steps S110 to S180 above, in this embodiment of the invention, by signing electronic labor contracts based on compliance audit results and uploading hash values ​​to the blockchain, the immutable and traceable verification of entry qualifications is achieved; attendance data is obtained through attendance location, and performance scores are generated and dynamically managed in conjunction with tiered training and performance appraisal; simultaneously, physiological parameters such as blood pressure and heart rate are collected to generate work interruption instructions when thresholds are exceeded, realizing proactive safety intervention in high-risk work scenarios; and automatic salary settlement is triggered by smart contracts through departure verification, and recruitment strategies and training plans are generated through full lifecycle data analysis, forming a digital closed-loop management system from recruitment and on-site management to departure optimization. This significantly improves the safety, compliance, and efficiency of labor management, thereby solving the technical problems in existing construction labor management methods, such as unauthorized entry due to lax identity verification, proxy clocking and absenteeism due to single attendance and location methods, inability to promptly interrupt equipment to ensure personnel safety in high-risk operations due to lack of real-time monitoring of physiological parameters, disputes arising from reliance on manual salary settlement, and the inability to form closed-loop optimization decisions due to fragmented data at each management stage.

[0067] The method of this invention, based on automatic verification to obtain compliance audit results, includes: collecting ID cards, special operation certificates, health certificates, and skill level certificates through a person verification terminal; automatically comparing the validity period of the ID cards, special operation certificates, health certificates, and skill level certificates with the official database to obtain a validity period comparison result; and verifying the consistency between the certificate holder and the photo on the ID card based on the validity period comparison result to obtain a person-certificate consistency result.

[0068] This embodiment achieves rapid, accurate, and tamper-proof compliance verification of workers' identities and qualifications through a collaborative mechanism that automatically collects information from multiple documents, compares the validity period of documents with official databases, and verifies the consistency of person and document photos. This effectively eliminates the risk of illegal entry such as forged, expired, or mismatched documents.

[0069] Furthermore, signing an electronic labor contract includes generating an electronic labor contract with a digital signature in response to a successful compliance review. This embodiment generates an electronic labor contract with a digital signature immediately after the compliance review is passed, ensuring the legality, non-repudiation, and automated processing of the contract signing, thus avoiding the problems of long signing cycles, susceptibility to tampering, and insufficient legal effect associated with traditional paper contracts.

[0070] Furthermore, based on attendance data obtained through attendance location tracking, the system includes: achieving seamless check-in through attendance location tracking to obtain check-in records; tracking the location of workers in real time through attendance location tracking to obtain location trajectory data; and generating early warning information in response to the detection of abnormal absences or overdue check-in events based on check-in records and location trajectory data.

[0071] This embodiment employs a dual attendance mechanism combining contactless check-in and real-time location tracking. It automatically acquires check-in records and location trajectory data, and generates immediate warning information in response to abnormal absences or overdue check-in events. This effectively eliminates management loopholes such as proxy check-in and absenteeism, and improves the real-time performance and accuracy of on-site management.

[0072] Furthermore, after generating the early warning information, the process also includes: pushing the notification to the workers' terminals and the monitoring center respectively; and synchronizing the violation records to the workers' personal electronic files.

[0073] After generating the early warning information, this embodiment will simultaneously push the notification to the worker's terminal and the monitoring center, and archive the violation record to the individual's electronic file in real time. This realizes the instant transmission of early warning information and the full-process traceability of violations, and strengthens the closed-loop traceability capability of on-site management and the basis for defining responsibilities.

[0074] Furthermore, performance scores are obtained based on tiered training and performance appraisal, including: setting up pre-job theoretical training and pre-job practical training based on the job risk level to obtain pre-job assessment results; setting up daily pre-shift risk briefings to obtain briefing confirmation records; setting up special operation-specific skills training to obtain special assessment results; linking pre-job assessment results, briefing confirmation records, and special assessment results to the electronic files of laborers to obtain training qualification records; and quantifying and generating performance scores based on construction progress completion rate, quality acceptance pass rate, and safety compliance inspection records to obtain performance scores.

[0075] This embodiment links the results of multi-level training, such as pre-job theoretical and practical assessments, daily pre-shift risk briefings, and special operations training, to electronic files to form training qualification records. It also integrates construction progress completion rate, quality acceptance pass rate, and safety compliance inspection records to quantify and generate performance scores, thereby realizing the linkage management of training and performance and ensuring that the skills of laborers and their work behavior can be quantitatively evaluated.

[0076] Furthermore, after obtaining physiological parameters based on collected blood pressure and heart rate, the process also includes: associating blood pressure and heart rate indicators with the real-time location of the workers and storing them on a blockchain network to obtain health certificate data.

[0077] This embodiment obtains health evidence data by associating blood pressure and heart rate indicators with the real-time location of workers and storing them on a blockchain network. This achieves reliable anchoring and tamper-proof evidence storage of physiological parameters and spatial trajectories, providing a verifiable data foundation for the traceability analysis and responsibility determination of abnormal health events.

[0078] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0079] This invention also provides a digital management device for the entire lifecycle of construction project workers, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0080] Figure 2 According to one embodiment of the present invention, a digital management device for the entire life cycle of construction project workers includes:

[0081] Recruitment access unit 201 is used to release labor recruitment information based on project progress, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on compliance review results, and upload the hash value of electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications;

[0082] The on-site control unit 202 is used to obtain attendance data by tracking and locating qualified workers, obtain performance scores based on graded training and performance appraisal and implement dynamic control, collect blood pressure and heart rate to obtain physiological parameters, generate work interruption instructions to cut off the power source of high-risk equipment in response to any parameter exceeding the threshold, and generate rescue dispatch instructions based on real-time location.

[0083] The departure and optimization unit 203 is used to respond to departure trigger events, verify the departure of workers to obtain verification results, and based on the verification results, trigger a smart contract to automatically settle wages according to attendance data and performance scores, encrypt and archive departure files, and analyze full life cycle data to generate recruitment strategies and training plans; wherein, departure trigger events include at least one of voluntary application, contract expiration, or illegal dismissal.

[0084] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0085] According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described digital management method for the entire lifecycle of construction project laborers during runtime.

[0086] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0087] Step S1: Based on the project progress, release labor recruitment information, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on the compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications;

[0088] Step S2: For workers with entry qualifications, attendance data is obtained through attendance location tracking, performance scores are obtained based on graded training and performance appraisal and dynamic management is implemented, blood pressure and heart rate are collected to obtain physiological parameters, and an operation interruption command is generated in response to any parameter exceeding the threshold to cut off the power source of high-risk equipment, and a rescue dispatch command is generated based on real-time location.

[0089] Step S3: In response to the departure trigger event, the departure of the workers is verified to obtain the verification result. Based on the verification result, the smart contract is triggered to automatically settle the salary according to the attendance data and performance score, and the departure file is encrypted and archived. The entire life cycle data is analyzed to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or illegal dismissal.

[0090] According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to execute the above-described digital management method for the entire life cycle of construction project laborers.

[0091] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0092] Step S1: Based on the project progress, release labor recruitment information, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on the compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications;

[0093] Step S2: For workers with entry qualifications, attendance data is obtained through attendance location tracking, performance scores are obtained based on graded training and performance appraisal and dynamic management is implemented, blood pressure and heart rate are collected to obtain physiological parameters, and an operation interruption command is generated in response to any parameter exceeding the threshold to cut off the power source of high-risk equipment, and a rescue dispatch command is generated based on real-time location.

[0094] Step S3: In response to the departure trigger event, the departure of the workers is verified to obtain the verification result. Based on the verification result, the smart contract is triggered to automatically settle the salary according to the attendance data and performance score, and the departure file is encrypted and archived. The entire life cycle data is analyzed to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or illegal dismissal.

[0095] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0096] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described digital management method for the entire lifecycle of construction project laborers.

[0097] Optionally, in this embodiment, the above-mentioned computer program product can be configured as a computer program that performs the following steps:

[0098] Step S1: Based on the project progress, release labor recruitment information, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on the compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications;

[0099] Step S2: For workers with entry qualifications, attendance data is obtained through attendance location tracking, performance scores are obtained based on graded training and performance appraisal and dynamic management is implemented, blood pressure and heart rate are collected to obtain physiological parameters, and an operation interruption command is generated in response to any parameter exceeding the threshold to cut off the power source of high-risk equipment, and a rescue dispatch command is generated based on real-time location.

[0100] Step S3: In response to the departure trigger event, the departure of the workers is verified to obtain the verification result. Based on the verification result, the smart contract is triggered to automatically settle the salary according to the attendance data and performance score, and the departure file is encrypted and archived. The entire life cycle data is analyzed to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or illegal dismissal.

[0101] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0102] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0104] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0105] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0106] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0107] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for digital management of the entire lifecycle of construction project workers, characterized in that, include: Based on the project progress, labor recruitment information is released, and the identity and qualifications of the laborers are automatically verified to obtain compliance review results. If the compliance review results are passed, an electronic labor contract is signed, and the hash value of the electronic labor contract is uploaded to the blockchain network to obtain the laborers' entry qualifications. For the workers who have the aforementioned entry qualifications, attendance data is obtained through attendance tracking and location tracking. Performance scores are obtained based on graded training and performance appraisal, and dynamic management is implemented. Physiological parameters are obtained by collecting blood pressure and heart rate data. In response to any parameter exceeding the threshold, an operation interruption command is generated to cut off the power source of high-risk equipment, and a rescue dispatch command is generated based on the real-time location. In response to a departure trigger event, the departure of the worker is verified to obtain a verification result. Based on the verification result, a smart contract is triggered to automatically calculate the salary according to the attendance data and the performance score, and the departure file is encrypted and archived. Full life cycle data is analyzed to generate recruitment strategies and training plans. The departure trigger event includes at least one of the following: voluntary application, contract expiration, or violation-related dismissal.

2. The digital management method for the entire life cycle of construction project workers according to claim 1, characterized in that, The compliance audit results are obtained based on the automatic verification, including: The system collects ID cards, special operation certificates, health certificates, and skill level certificates through a human verification terminal. The validity periods of the ID card, the special operation certificate, the health certificate, and the skill level certificate are automatically compared with the official database to obtain the validity period comparison results; Based on the validity period comparison results, the consistency between the certificate holder and the photo on the ID card is verified to obtain the identity document consistency result.

3. The digital management method for the entire life cycle of construction project workers according to claim 2, characterized in that, The signing of the electronic labor contract includes: in response to the compliance review result being passed, generating the electronic labor contract with a digital signature.

4. The digital management method for the entire life cycle of construction project workers according to claim 1, characterized in that, Based on the attendance data obtained through attendance location tracking, the following are included: Achieve seamless attendance tracking by using location services to obtain attendance records; The attendance and location tracking system is used to track the location of the workers in real time to obtain location trajectory data. In response to the detection of abnormal absence from duty or failure to clock in within the specified time based on the clock-in records and the location trajectory data, an early warning message is generated.

5. The digital management method for the entire life cycle of construction project workers according to claim 4, characterized in that, After generating the warning information, the following is also included: The notification will be sent to both the worker's terminal and the monitoring center. The violation records will be synchronized to the personal electronic files of the aforementioned workers.

6. The method for digital management of the entire life cycle of construction project workers according to claim 1, characterized in that, The performance score is obtained based on the tiered training and the performance appraisal, including: Pre-job theoretical training and pre-job practical training are set up based on the job risk level to obtain pre-job assessment results; Establish daily pre-shift risk briefings to obtain briefing confirmation records; Specialized skills training for special operations is provided to obtain specific assessment results; The pre-employment assessment results, the briefing confirmation record, and the special assessment results are linked to the electronic files of the workers to obtain training qualification records; Based on the construction progress completion rate, quality acceptance pass rate, and safety compliance inspection records, a performance score is quantitatively generated to obtain the aforementioned performance score.

7. The method for digital management of the entire life cycle of construction project workers according to claim 1, characterized in that, After obtaining physiological parameters based on the collected blood pressure and heart rate, the following is also included: The blood pressure and heart rate indicators are associated with the real-time location of the workers and stored in a blockchain network to obtain health certificate data.

8. A digital management device for the entire life cycle of construction project workers, characterized in that, include: The recruitment access unit is used to release labor recruitment information based on project progress, automatically verify the identity and qualifications of laborers to obtain compliance review results, sign electronic labor contracts based on the compliance review results, and upload the hash value of the electronic labor contracts to the blockchain network to obtain the laborers' entry qualifications. The on-site control unit is used to obtain attendance data for the workers with the aforementioned entry qualifications through attendance location, obtain performance scores based on graded training and performance appraisal and implement dynamic control, collect blood pressure and heart rate to obtain physiological parameters, generate work interruption instructions to cut off the power source of high-risk equipment in response to any parameter exceeding the threshold, and generate rescue dispatch instructions based on real-time location. The departure and optimization unit is used to respond to a departure triggering event, verify the departure of the worker to obtain the verification result, and based on the verification result, automatically calculate the salary according to the attendance data and the performance score by triggering a smart contract, encrypt and archive the departure file, and analyze the full life cycle data to generate recruitment strategies and training plans; wherein, the departure triggering event includes at least one of voluntary application, contract expiration, or violation-related dismissal.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the digital management method for the entire life cycle of construction project laborers as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, include: One or more processors; Memory for storing the one or more processor-executable instructions; Wherein, the one or more processors are configured as follows: Implement a digital management method for the entire life cycle of construction project workers as described in any one of claims 1 to 7.

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