Intelligent construction equipment monitoring system supporting biological recognition

Abstract

The invention discloses an intelligent construction equipment monitoring system supporting biological recognition, and relates to the field of engineering equipment safety control. The system comprises a working condition acquisition module, a risk judgment module, a biological recognition permission determination module, a permission matching module, an active safety control module and a safety state machine building module. A risk value is calculated by collecting operation parameters and environment parameters of the tower crane, a target permission level is determined when the risk value crosses a preset risk threshold value, and equipment control parameters are automatically adjusted when the current permission is insufficient, so that equipment enters a limited operation state, a safe waiting state or a locked state. The system establishes a constraint relationship between the authority level and the maximum operation capability of the equipment, so that the executable action range of the equipment is dynamically shrunk along with the change of the authority, and the safety state is driven to migrate based on a hierarchical risk judgment mechanism, thereby realizing the conversion from passive alarm to active control. Therefore, the operation safety and controllability of the tower crane in a complex construction environment are improved.

Description

Technical Field

[0001] This invention relates to the field of safety control of engineering equipment, and in particular to a smart construction equipment monitoring system that supports biometric identification. Background Technology

[0002] With the development of smart construction technology, tower cranes, as key large-scale lifting equipment on construction sites, are directly related to the efficiency of construction and the safety of personnel. Current technologies typically monitor the operating status of tower cranes in real time by installing load sensors, wind speed sensors, and attitude detection devices, and issue alarms to operators when abnormal parameters are detected to reduce the probability of accidents.

[0003] On the other hand, some construction sites have begun to introduce biometric technology to authenticate equipment operators and prevent unauthorized personnel from operating the equipment. However, existing biometric systems are mostly used for equipment start-up and shutdown control or personnel management, and their permission settings are usually statically configured, meaning that after authentication is completed once before the equipment is started, the operator is automatically granted continuous operating privileges.

[0004] The inventors' research found that tower cranes have significant dynamic risk characteristics in actual construction. For example, when the lifting weight approaches the rated load, the working height increases, the environmental wind speed changes suddenly, or multiple devices work together, the overall danger level of the equipment will increase rapidly. The static authorization mechanism cannot impose higher requirements on the operator's qualifications according to the changes in risk, which may lead to low-authority operators working continuously in high-risk conditions, increasing the probability of misoperation and safety accidents.

[0005] Furthermore, existing safety control methods largely rely on manual judgment or alarm alerts, lacking proactive safety control mechanisms that can automatically adjust equipment operating capabilities based on changes in risk. When risks suddenly escalate, allowing equipment to continue operating at its original capacity can easily lead to problems such as inertial runaway or structural overload, failing to meet the inherent safety control requirements for large lifting equipment.

[0006] Therefore, how to construct an active safety control system that can link real-time equipment operating conditions, biometric permissions, and operation control strategies, so that the equipment's operating capabilities can be dynamically adjusted according to risk levels and operator permissions, thereby improving the safety and controllability of tower cranes in complex construction environments, has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0007] The main objective of this invention is to provide a smart construction equipment monitoring system that supports biometric identification, which can effectively solve the problems in the background art.

[0008] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0009] A smart construction equipment monitoring system supporting biometrics includes:

[0010] The operating condition acquisition module is used to collect the operating parameters and environmental parameters of the tower crane in real time. The operating parameters include at least one or more of the following: lifting capacity, lifting speed, slewing angular velocity, luffing amplitude, and hook height.

[0011] The risk assessment module is used to calculate the current risk value of the tower crane based on the operating parameters and environmental parameters, and to generate a risk transition signal when the risk value crosses at least one dynamic risk threshold.

[0012] The biometric permission determination module is used to obtain the operator's biometric information and determine the corresponding permission level;

[0013] The permission matching module is used to determine the target permission level based on the risk transition signal and to determine whether the current permission level meets the operational requirements.

[0014] The active safety control module is used to adjust the control parameters of the tower crane without manual intervention when the current permission level does not meet the target permission level, so that the tower crane enters a controlled and safe operating state.

[0015] The access control mapping module is used to establish a constraint relationship between the access level and the maximum operating capacity of the tower crane, so that as the access level decreases, the range of actions that the tower crane can perform shrinks synchronously.

[0016] The security state mechanism construction module is used to construct multi-level security states and trigger state transitions under the combined effect of risk transition signals and permission matching results. The security states include at least a normal operation state, a restricted operation state, a security waiting state, and a locked state. In the security waiting state, the tower crane will only lift the operation restriction after detecting that an operator with the target permission level has completed biometric authentication.

[0017] Furthermore, the risk assessment module calculates the risk value based on a multi-parameter coupled risk model. The risk model is as follows:

[0018]

[0019] in, This refers to the actual lifting capacity; Rated lifting capacity; This refers to the actual operating speed; To allow the maximum operating speed; This refers to the height of the hook. For safety height threshold; Environmental wind speed risk coefficient; , , , These are the weighting coefficients;

[0020] The weighting coefficients are preset based on the structural characteristics, stability requirements and construction safety specifications of the tower crane, and can be adjusted according to changes in the construction stage, so that the risk value can reflect the comprehensive degree of danger of the tower crane under different load combinations and environmental conditions.

[0021] The risk thresholds include at least an early warning threshold, a high-risk threshold, and a lockout threshold, with each threshold increasing sequentially according to the magnitude of the risk value, to form a graded risk assessment mechanism for driving the transition of a safe state.

[0022] When the risk value continuously crosses multiple risk thresholds, the system triggers a step-by-step transition of the safety state to avoid sudden risk changes that could cause the equipment to enter an uncontrollable operating state.

[0023] Furthermore, target permission level Determined dynamically based on risk value:

[0024]

[0025] in: Basic permission level; Basic risk threshold; This is the privilege escalation factor;

[0026] When the risk value continues to rise, the system automatically raises the target permission level and restricts low-permission operators from continuing to perform high-risk actions through the permission matching module. This establishes a dynamic constraint relationship between risk level and operator qualification, enabling tower cranes to be operated by personnel with higher safety qualifications under high-risk conditions.

[0027] Furthermore, the maximum operating capacity of the tower crane meets the following requirements:

[0028]

[0029] in: This represents the maximum allowed operating capacity at present. Rated operating capacity; Target access level; The current permission level; This is the capacity attenuation coefficient;

[0030] The capacity attenuation coefficient is set according to the inertial characteristics and braking response time of the tower crane, so that the operating capacity of the equipment is reduced gradually when the authority is insufficient, thereby improving the operational safety while ensuring the continuity of construction.

[0031] Furthermore, the permitted operating speed of tower cranes meets the following requirements:

[0032]

[0033] in: For the permitted speed; For maximum safe speed; This is the velocity decay factor; This is a high-risk threshold;

[0034] When the risk value exceeds the high-risk threshold, the permissible speed decreases exponentially, causing the tower crane to enter a low-speed operating zone before approaching a dangerous condition, thus providing a safe buffer time for equipment braking and operator reaction.

[0035] Furthermore, when the risk value reaches the preset high-risk range, the system requires at least two operators with corresponding permission levels to complete biometric authentication. The system can only release the safety waiting state after the authentication results are consistent. At least one of the operators must be an on-site commander or safety manager to form a dual operation confirmation mechanism, thereby reducing the probability of safety accidents caused by single-person misjudgment or misoperation.

[0036] Furthermore, the active safety control module is located in the local controller of the tower crane and is directly connected to the equipment drive control unit, enabling the system to independently complete risk calculation, permission judgment and control command output even when the external network is interrupted or the remote platform fails, thereby ensuring the continued effectiveness of the safety interlocking mechanism.

[0037] Furthermore, when the risk value reaches the warning range but has not yet crossed the risk threshold, the system generates an authorization upgrade request signal in advance and sends a biometric authentication prompt to the high-authority operator, so that the equipment completes authorization preparation before entering a high-risk state, thereby avoiding emergency braking or operation interruption due to insufficient authorization.

[0038] Furthermore, when the risk value continues to rise and the current permission level has not reached the target permission level, the tower crane automatically moves to the locked state and prohibits the execution of at least one of the hoisting, slewing and luffing actions, while keeping the braking system in a state that can respond at any time to prevent the equipment from losing control due to inertia under high-risk working conditions.

[0039] A computer-readable storage medium having a computer program stored thereon, characterized in that, when executed by a processor, the computer program is able to control the processor to form the aforementioned monitoring system.

[0040] The present invention has the following beneficial effects:

[0041] Compared with existing technologies, this solution constructs a risk assessment mechanism to comprehensively analyze the operating parameters and environmental parameters of tower cranes, enabling the real-time quantification of equipment risk levels and using this as the basis for driving safety state transitions, thereby improving the accuracy and timeliness of risk identification.

[0042] This invention introduces biometric access control into the equipment control system, establishing a constraint relationship between access level and equipment operating capabilities. This allows the range of actions that a tower crane can perform to dynamically shrink as the operator's access changes, thereby preventing low-access personnel from performing high-risk operations under high-risk conditions and significantly improving equipment operating safety.

[0043] When insufficient permissions are detected, this invention can automatically adjust the equipment control parameters without human intervention, so that the tower crane enters a restricted operation state or a safe waiting state, realizing the transformation from "passive alarm" to "active control" and effectively reducing the safety risks caused by the lag in human judgment.

[0044] Furthermore, by constructing a multi-level safety state machine, this invention enables the equipment to gradually reduce its operational capacity based on risk transitions, rather than abruptly braking, thereby ensuring construction continuity while reducing structural impact and improving the overall stability of the equipment.

[0045] Furthermore, the safety control strategy of this invention can be deployed in a local controller, which can maintain the effectiveness of safety interlocks even in the event of communication interruption, thereby enhancing the reliability of system operation. It is particularly suitable for the safety management of large lifting equipment in complex construction environments.

[0046] Therefore, this invention can effectively solve the problem that static permissions are difficult to adapt to dynamic risks, and realize the coordinated control between equipment operating capabilities, risk levels and operator qualifications, and has good engineering application value. Attached Figure Description

[0047] Figure 1 This is a system module diagram of the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] Example 1

[0050] This embodiment takes tower cranes as the application object and constructs an intelligent construction equipment active safety control system that supports biometrics. It is used to dynamically adjust the operator's permissions according to the equipment operation risks during the construction process and link the control of equipment operation capabilities, thereby improving the inherent safety level of large lifting equipment.

[0051] This system includes a working condition acquisition module, a risk assessment module, a biometric permission determination module, a permission matching module, an active safety control module, a permission-control mapping module, and a safety state mechanism construction module. Each module is connected to the local controller of the tower crane.

[0052] In this embodiment:

[0053] The working condition acquisition module is installed on the key stress and moving parts of the tower crane; the local controller is located in the driver's control room and is electrically connected to each drive control unit; the biometric terminal is installed near the control panel for operator authentication.

[0054] The working condition acquisition module includes: lifting weight sensor, rotary encoder, lifting height detection device, and wind speed sensor;

[0055] The aforementioned sensors send operational data to the local controller at a sampling frequency of no less than 10Hz to ensure the real-time nature of risk calculation.

[0056] During equipment operation, the risk assessment module calculates the risk value based on the following model:

[0057]

[0058] For example, in a high-rise building hoisting operation:

[0059] The actual lifting capacity is 0.85 of the rated load; the slewing speed reaches 0.75 of the maximum permissible speed; the hook height is close to 0.9 of the safe height; and the wind speed risk factor is 0.6. , , , .

[0060] The calculated risk value is as follows:

[0061]

[0062] The system determines that the device has entered the risk range corresponding to the high-risk threshold.

[0063] When the risk value crosses the high-risk threshold, the permission matching module automatically upgrades the target permission level.

[0064]

[0065] If the current operator's permissions are lower than the target's permissions: the system will immediately trigger the permission restriction process.

[0066] For example, if the original operator has ordinary driver privileges and is only allowed to perform low- to medium-risk lifting tasks, the system will automatically send an authentication request to personnel with advanced operator qualifications.

[0067] When insufficient permissions are detected, the proactive safety control module does not immediately shut down the device, but instead gradually reduces the device's operating capabilities based on the capability constraint model:

[0068]

[0069] Specifically, this manifests as: reduced lifting speed; limited slewing angular velocity; and a reduced maximum amplitude range.

[0070] By gradually reducing the braking force, structural impact caused by sudden braking can be effectively avoided.

[0071] When the risk value is close to the high-risk threshold but has not yet been crossed, the system generates a privilege escalation request signal in advance and prompts the high-privilege personnel to complete biometric authentication.

[0072] For example, before multi-machine collaborative hoisting begins, the system predicts the upward trend of risk and completes the authorization preparation in advance, thereby avoiding the swaying of the hoisting load caused by emergency braking during the operation.

[0073] In this embodiment, the device has the following safety status:

[0074] Normal operating state: The equipment operates at its rated capacity.

[0075] Restricted runtime state: When the risk increases or permissions are insufficient:

[0076] Allowed running speed meets:

[0077]

[0078] The equipment automatically enters the low-speed operating zone.

[0079] Safe wait state: If the permission is still not satisfied:

[0080] The system maintains the braking system in a responsive state and suspends high-risk actions, awaiting authentication from high-privilege personnel.

[0081] Locked state: When the risk continues to rise and privileges are not elevated:

[0082] The system prohibits lifting, slewing, and luffing operations to prevent inertial loss of control of the equipment.

[0083] In extreme working conditions, such as: hoisting of ultra-large components; nighttime high-altitude operations;

[0084] The system requires both the driver and the on-site commander to complete biometric authentication before the safe waiting state can be lifted.

[0085] This mechanism can significantly reduce the risk of misjudgment by a single person.

[0086] The risk calculation and control strategies of this system are all deployed in the local controller.

[0087] Even if the network is interrupted at the construction site: risk assessment continues to run; permission matching can still be executed; and control commands can still be issued.

[0088] This ensures that the security interlocking mechanism does not rely on a remote platform.

[0089] Through the above technical solutions, the present invention achieves: risk-driven permission adjustment; permission-constrained operation capability; state machine linkage control;

[0090] It effectively solves the technical shortcomings of traditional static permissions being unable to adapt to dynamic risks, enabling tower cranes to maintain controllable operation in complex construction environments.

[0091] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A smart construction equipment monitoring system supporting biometric identification, characterized in that, include: The operating condition acquisition module is used to collect the operating parameters and environmental parameters of the tower crane in real time. The operating parameters include at least one or more of the following: lifting capacity, lifting speed, slewing angular velocity, luffing amplitude, and hook height. The risk assessment module is used to calculate the current risk value of the tower crane based on the operating parameters and environmental parameters, and to generate a risk transition signal when the risk value crosses at least one dynamic risk threshold. The biometric permission determination module is used to obtain the operator's biometric information and determine the corresponding permission level; The permission matching module is used to determine the target permission level based on the risk transition signal and to determine whether the current permission level meets the operational requirements. The active safety control module is used to adjust the control parameters of the tower crane without manual intervention when the current permission level does not meet the target permission level, so that the tower crane enters a controlled and safe operating state. The access control mapping module is used to establish a constraint relationship between the access level and the maximum operating capacity of the tower crane, so that as the access level decreases, the range of actions that the tower crane can perform shrinks synchronously. The security state mechanism construction module is used to construct multi-level security states and trigger state transitions under the combined effect of risk transition signals and permission matching results. The security states include at least a normal operation state, a restricted operation state, a security waiting state, and a locked state. In the security waiting state, the tower crane will only lift the operation restriction after detecting that an operator with the target permission level has completed biometric authentication.

2. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, The risk assessment module calculates the risk value based on a multi-parameter coupled risk model. The risk model is as follows: in, This refers to the actual lifting capacity; Rated lifting capacity; This refers to the actual operating speed; To allow the maximum operating speed; This refers to the height of the hook. For safety height threshold; Environmental wind speed risk coefficient; , , , These are the weighting coefficients; The weighting coefficients are preset based on the structural characteristics, stability requirements and construction safety specifications of the tower crane, and can be adjusted according to changes in the construction stage, so that the risk value can reflect the comprehensive degree of danger of the tower crane under different load combinations and environmental conditions. The risk thresholds include at least an early warning threshold, a high-risk threshold, and a lockout threshold, with each threshold increasing sequentially according to the magnitude of the risk value, to form a graded risk assessment mechanism for driving the transition of a safe state. When the risk value continuously crosses multiple risk thresholds, the system triggers a step-by-step transition of the safety state to avoid sudden risk changes that could cause the equipment to enter an uncontrollable operating state.

3. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, Target privilege level Determined dynamically based on risk value: in: Basic permission level; Basic risk threshold; This is the privilege escalation factor; When the risk value continues to rise, the system automatically raises the target permission level and restricts low-permission operators from continuing to perform high-risk actions through the permission matching module. This establishes a dynamic constraint relationship between risk level and operator qualification, enabling tower cranes to be operated by personnel with higher safety qualifications under high-risk conditions.

4. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, The maximum operating capacity of the tower crane meets the following requirements: in: This represents the maximum allowed operating capacity at present. Rated operating capacity; Target access level; The current permission level; This is the capacity attenuation coefficient; The capacity attenuation coefficient is set according to the inertial characteristics and braking response time of the tower crane, so that the operating capacity of the equipment is reduced gradually when the authority is insufficient, thereby improving the operational safety while ensuring the continuity of construction.

5. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, Tower cranes are allowed to operate at the following speeds: in: For the permitted speed; For maximum safe speed; This is the velocity decay factor; This is a high-risk threshold; When the risk value exceeds the high-risk threshold, the permissible speed decreases exponentially, causing the tower crane to enter a low-speed operating zone before approaching a dangerous condition, thus providing a safe buffer time for equipment braking and operator reaction.

6. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, When the risk value reaches the preset high-risk range, the system requires at least two operators with corresponding permission levels to complete biometric authentication. The system can only release the safety waiting state after the authentication results are consistent. At least one of the operators must be an on-site commander or safety manager to form a dual operation confirmation mechanism, thereby reducing the probability of safety accidents caused by single-person misjudgment or misoperation.

7. A smart construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, The active safety control module is located in the local controller of the tower crane and is directly connected to the equipment drive control unit. This allows the system to independently perform risk calculations, permission judgments, and control command outputs even when the external network is interrupted or the remote platform fails, thereby ensuring the continued effectiveness of the safety interlocking mechanism.

8. The intelligent construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, When the risk value reaches the warning range but has not yet crossed the risk threshold, the system generates an authorization upgrade request signal in advance and sends a biometric authentication prompt to the high-authority operator, so that the equipment completes authorization preparation before entering a high-risk state, thereby avoiding emergency braking or operation interruption due to insufficient authorization.

9. A smart construction equipment monitoring system supporting biometrics according to claim 1, characterized in that, When the risk value continues to rise and the current permission level has not reached the target permission level, the tower crane will automatically move to the locked state and prohibit the execution of at least one of the hoisting, slewing and luffing actions. At the same time, the braking system will be kept in a state of being ready to respond at any time to prevent the equipment from losing control due to inertia under high-risk conditions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it is able to control the processor to form a monitoring system as described in any one of claims 1 to 9.

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