CN-122009979-A - Intelligent construction equipment monitoring system supporting biological recognition

CN122009979ACN 122009979 ACN122009979 ACN 122009979ACN-122009979-A

Abstract

The invention discloses an intelligent construction equipment monitoring system supporting biological identification, and relates to the field of engineering equipment safety control. The system comprises a working condition acquisition module, a risk judgment module, a biological identification permission determination module, a permission matching module, an active safety control module and a safety state machine construction module, wherein a risk value is calculated by acquiring operation parameters and environment parameters of the tower crane, a target permission level is determined when the risk value crosses a preset risk threshold, and equipment control parameters are automatically adjusted when the current permission is insufficient, so that the equipment enters a limited operation state, a safe waiting state or a locking state. The system establishes a constraint relation between the authority level and the maximum operation capacity of the equipment, so that the executable action range of the equipment dynamically contracts along with the authority change, and the safety state migration is driven based on a grading risk judging mechanism to realize the transition from passive alarm to active control, thereby improving the operation safety and controllability of the tower crane under a complex construction environment.

Inventors

ZHOU BING
YANG XIAOFEI
ZHAI GUOLIANG
CHEN HAIYANG
LI KUN
XU GUOWEI
DONG LI
ZHANG WEN

Assignees

上海民航新时代机场设计研究院有限公司
民航科研基地(北京)有限公司

Dates

Publication Date: 20260512
Application Date: 20260306

Claims (10)

1. An intelligent construction equipment monitoring system supporting biometric identification, comprising: the working condition acquisition module is used for acquiring the operation parameters and the environment parameters of the tower crane in real time, wherein the operation parameters at least comprise one or more of lifting capacity, lifting speed, rotation angular speed, amplitude of amplitude and lifting hook height; the risk judging module is used for calculating the current risk value of the tower crane based on the operation parameters and the environment parameters and generating a risk transition signal when the risk value crosses at least one dynamic risk threshold value; The biological identification permission determining module is used for acquiring biological characteristic information of an operator and determining a corresponding permission level; The permission matching module is used for determining a target permission level according to the risk transition signal and judging whether the current permission level meets the operation requirement or not; The active safety control module is used for adjusting the control parameters of the tower crane without depending on manual intervention when the current authority level does not meet the target authority level, so that the tower crane enters a controlled safety operation state; The permission control mapping module is used for establishing a constraint relation between the permission level and the maximum operation capacity of the tower crane, so that the executable action range of the tower crane is synchronously contracted along with the decrease of the permission level; The system comprises a safety state machine construction module, a control module and a control module, wherein the safety state machine construction module is used for constructing a multi-stage safety state and triggering state migration under the combined action of a risk transition signal and an authority matching result, the safety state at least comprises a normal operation state, a limited operation state, a safety waiting state and a locking state, and in the safety waiting state, the tower crane releases the operation limitation only after detecting that an operator meeting a target authority level completes biological authentication.
2. The intelligent construction equipment monitoring system supporting biological recognition according to claim 1, wherein the risk determination module calculates risk values based on a multiparameter coupled risk model The risk model is as follows: Wherein, the Is the actual lifting weight; is rated lifting weight; is the actual running speed; To allow maximum operating speed; The height of the lifting hook is set; is a safety height threshold; is an environmental wind speed risk coefficient; 、、、 Is a weight coefficient; The weight coefficient is preset according to the structural characteristics, stability requirements and construction safety specifications of the tower crane, and can be adjusted according to the construction stage change, so that the risk value can reflect the comprehensive risk degree of the tower crane under different load combinations and environmental conditions; The risk threshold at least comprises an early warning threshold, a high risk threshold and a locking threshold, and the thresholds are sequentially increased according to the size of the risk value to form a grading risk judging mechanism for driving the safety state to migrate. When the risk value continuously crosses a plurality of risk thresholds, the system triggers a gradual transition of the safety state to avoid the risk mutation causing the device to enter an uncontrollable operating state.
3. The intelligent construction equipment monitoring system supporting biological recognition of claim 1, wherein the target authority level Dynamically determining according to the risk value: Wherein: is the basic authority level; is a base risk threshold; is a rights-lifting coefficient; When the risk value continuously rises, the system automatically increases the target authority level, and the authority matching module limits the low-authority operator to continuously execute high-risk actions, so that a dynamic constraint relation between the risk level and the operation qualification is constructed, and the tower crane is operated by a person with higher safety qualification under the high-risk working condition.
4. The intelligent construction equipment monitoring system supporting biological recognition according to claim 1, wherein the maximum operating capacity of the tower crane satisfies the following conditions: Wherein: Is the maximum running capacity allowed currently; Is rated operational capacity; Is the target authority level; Is the current authority level; Is the capacity attenuation coefficient; The capacity attenuation coefficient is set according to the inertia characteristics and the braking response time of the tower crane, so that the equipment operation capacity is reduced in a progressive manner when the authority is insufficient, and the operation safety is improved while the construction continuity is ensured.
5. The intelligent construction equipment monitoring system supporting biological recognition of claim 1, wherein the tower crane allows the operating speed to be satisfied: Wherein: is an allowable speed; Is the maximum safe speed; is a speed decay factor; is a high risk threshold; When the risk value exceeds the high risk threshold, the allowable speed is reduced exponentially, so that the tower crane enters a low-speed running area before approaching a dangerous working condition, and safe buffering time is provided for equipment braking and operator reaction.
6. The intelligent construction equipment monitoring system supporting biological recognition according to claim 1, wherein when the risk value reaches a preset high risk interval, the system requires at least two operators with corresponding authority levels to finish biological authentication respectively, and can release a safety waiting state after the authentication results are consistent, wherein at least one operator is a site commander or a safety manager to form a double operation confirmation mechanism, so that the probability of safety accidents caused by single misjudgment or misoperation is reduced.
7. The intelligent building equipment monitoring system supporting biological recognition according to claim 1, wherein the active safety control module is arranged in a local controller of the tower crane and is directly connected with the equipment driving control unit in a communication manner, so that the system can independently complete risk calculation, authority judgment and control instruction output when an external network is interrupted or a remote platform fails, and the safety interlocking mechanism is ensured to be continuously effective.
8. The intelligent building equipment monitoring system supporting biological recognition according to claim 1, wherein when the risk value reaches the early warning interval and the risk threshold is not crossed yet, the system generates a permission lifting request signal in advance and sends a biological authentication prompt to a high-permission operator, so that the equipment completes permission preparation before entering a high-risk state, and emergency braking or operation interruption caused by insufficient permission is avoided.
9. The intelligent building equipment monitoring system supporting biological recognition according to claim 1, wherein when the risk value continuously rises and the current authority level does not reach the target authority level, the tower crane automatically moves to a locked state and at least one of lifting, turning and luffing actions is prohibited from being executed, and meanwhile, the braking system is kept in a state capable of being responded at any time so as to prevent inertial runaway of the equipment under high risk working conditions.
10. A computer readable storage medium having stored thereon a computer program, which, when executed by a processor, is capable of controlling said processor to constitute a monitoring system according to any of claims 1 to 9.

Description

Intelligent construction equipment monitoring system supporting biological recognition Technical Field The invention relates to the field of engineering equipment safety control, in particular to an intelligent building equipment monitoring system supporting biological identification. Background With the development of intelligent construction technology, the tower crane is used as key large-scale hoisting equipment of a construction site, and the operation safety of the tower crane is directly related to engineering construction efficiency and personnel safety. In the prior art, the running state of the tower crane is monitored in real time by installing a load sensor, a wind speed sensor, a gesture detection device and the like, and an alarm prompt is sent to an operator when abnormal parameters are detected, so that the accident occurrence probability is reduced. On the other hand, some construction sites begin to introduce biometric technology to authenticate the identity of the equipment operator to prevent unauthorized personnel from operating the equipment. However, existing biometric systems are commonly used for device start-stop control or personnel management, where the rights settings are typically static in configuration, i.e., the default operator qualifies for continued operation after one authentication before the device is started. The inventor researches and discovers that the tower crane has obvious dynamic risk characteristics in the actual construction process, for example, when the lifting capacity is close to the rated load, the operation height is increased, the environmental wind speed is suddenly changed or a plurality of devices are cooperatively operated, the whole risk degree of the devices can be rapidly improved, and a static authority mechanism can not put higher requirements on the qualification of operators according to the risk change, so that a low-authority operator can continuously operate under a high-risk working condition, and the occurrence probability of misoperation and safety accidents is increased. In addition, the existing safety control mode is mostly dependent on manual judgment or alarm reminding, and an active safety control mechanism capable of automatically adjusting the equipment operation capacity according to risk change is lacking. When the risk suddenly rises, if the equipment is still allowed to work according to the original operation capacity, the problems of inertial runaway or structural overload and the like are easily caused, and the requirement of the large-scale hoisting equipment on intrinsic safety control is difficult to meet. Therefore, how to construct an active safety control system capable of linking the real-time working condition, the biological identification authority and the operation control strategy of the equipment, so that the operation capacity of the equipment can be dynamically adjusted along with the risk level and the operator authority, and the safety and the controllability of the tower crane under a complex construction environment are improved, so that the technical problem to be solved in the field is urgent. Disclosure of Invention The invention mainly aims to provide an intelligent building equipment monitoring system supporting biological recognition, which can effectively solve the problems in the background technology. In order to achieve the above purpose, the invention adopts the technical proposal that, An intelligent construction equipment monitoring system supporting biometric identification, comprising: the working condition acquisition module is used for acquiring the operation parameters and the environment parameters of the tower crane in real time, wherein the operation parameters at least comprise one or more of lifting capacity, lifting speed, rotation angular speed, amplitude of amplitude and lifting hook height; the risk judging module is used for calculating the current risk value of the tower crane based on the operation parameters and the environment parameters and generating a risk transition signal when the risk value crosses at least one dynamic risk threshold value; The biological identification permission determining module is used for acquiring biological characteristic information of an operator and determining a corresponding permission level; The permission matching module is used for determining a target permission level according to the risk transition signal and judging whether the current permission level meets the operation requirement or not; The active safety control module is used for adjusting the control parameters of the tower crane without depending on manual intervention when the current authority level does not meet the target authority level, so that the tower crane enters a controlled safety operation state; The permission control mapping module is used for establishing a constraint relation between the permission level and the maximum operation capacity of the tower cr