Security and protection equipment construction site safety early warning system based on artificial intelligence

Abstract

The invention relates to the technical field of security and protection equipment construction, and discloses a security and protection equipment construction site safety early warning system based on artificial intelligence, which comprises a construction site data acquisition module, a construction site risk assessment and judgment module and a construction safety execution module, the construction site data acquisition module performs data acquisition and integration on an electrical data set, a mechanical data set and an environment data set through an electrical data acquisition unit, a mechanical data acquisition unit and an environment data acquisition unit, and the construction site risk assessment and judgment module assesses an electrical operation index according to the electrical data set. The construction site risk assessment module assesses a mechanical operation index according to the mechanical data set, assesses an environmental influence index according to the environmental data set, calculates an electrical risk index according to the electrical operation index, the mechanical operation index and the environmental influence index, and assesses electrical risks and mechanical risks according to the mechanical risk index. And the construction safety execution module sends out early warning according to the received signal.

Description

Technical Field

[0001] The present invention relates to the technical field of security equipment construction, and in particular to an artificial intelligence-based security equipment construction site safety early warning system. Background Art

[0002] Security equipment refers to various equipment designed to protect people's lives and property safety. Its main purpose is to prevent crime, reduce safety accidents, and protect the safety of people and property. Through monitoring, alarm, access control and other means, security equipment can monitor and record the on-site situation in real time, provide strong evidence for the police, help quickly solve the case, and thus maintain social order and public safety.

[0003] With the rapid development of digitalization and intelligence, security equipment has become an important technical barrier to maintain social order and protect personal and property safety. From family homes to commercial centers, from urban transportation to national key infrastructure, various types of security equipment have continuously upgraded the security protection system through technological innovation, and built an all-weather, multi-dimensional intelligent defense network. The modern security system is mainly composed of four subsystems: video surveillance, intrusion alarm, access control, and fire warning. Each system operates independently and is deeply integrated. As the "visual center", the video surveillance system has developed from analog cameras to intelligent devices that support 4K ultra-high definition and thermal imaging technology. Security equipment is an important tool to protect people's lives and property safety. It has a wide variety of types and different functions. When selecting and installing security equipment, it is necessary to fully consider the actual needs and site characteristics to ensure the safety, advancement, reliability and applicability of the equipment. At the same time, with the continuous development of science and technology and the progress of society, security equipment will continue to be updated to provide more comprehensive and efficient security for people's lives and work.

[0004] The construction site of security equipment needs to come into contact with a large number of electrical and mechanical equipment. During the long-term use of electrical and mechanical equipment, due to various reasons, they are prone to performance degradation, failures and other problems, which makes it easy for a series of safety accidents to occur at the construction site of security equipment, causing certain injuries and losses to personnel and the site. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides an artificial intelligence-based security equipment construction site safety warning system, which has multiple data combining multiple parameters of electrical equipment and mechanical equipment, comprehensively understands and grasps the operation status of electrical equipment and mechanical equipment, promptly discovers early fault hazards, and makes corresponding warnings to avoid greater losses caused by sudden failures, promptly discovers and eliminates potential safety hazards, reduces the accident rate, and creates a safer working environment for the construction site.

[0007] (2) Technical solution

[0008] To achieve the above object, the present invention provides the following technical solution: a safety warning system for the construction site of security equipment based on artificial intelligence, including a construction site data collection module, a construction site risk assessment and judgment module, and a construction safety execution module;

[0009] The construction site data collection module integrates the electrical data set, mechanical data set, and environmental data set through an electrical data collection unit, a mechanical data collection unit, and an environmental data collection unit, and stores and sends the collected electrical data set, mechanical data set, and environmental data set to the construction site risk assessment and judgment module;

[0010] The construction site risk assessment and judgment module evaluates the electrical operation index according to the electrical data set, evaluates the mechanical operation index according to the mechanical data set, evaluates the environmental impact index according to the environmental data set, and calculates the electrical risk index and mechanical risk index according to the electrical operation index, mechanical operation index, and environmental impact index to evaluate the electrical risk and mechanical risk, and sends a signal to the construction safety execution module according to the evaluation result;

[0011] The construction safety execution module issues a warning according to the received signal.

[0012] Preferably, the expression of the electrical data set is: , in the expression, represents the first electrical data collected, represents the last electrical data collected, represents the number of data collected, represents the specific parameters of the electrical data, including voltage data, current data, power data, electrical temperature data, leakage current value, insulation resistance value, grounding resistance value, and harmonics.

[0013] Preferably, the expression of the mechanical data set is: , in the expression, represents the first mechanical data collected, represents the last mechanical data collected, represents the number of data collected, represents the specific parameters of the mechanical data, including mechanical operation time, vibration, mechanical temperature, pressure, rotational speed, mechanical current, mechanical voltage, mechanical power, lubricating oil level, noise, displacement, and torque.

[0014] Preferably, the expression of the environmental data set is: , in the expression, Represents the ambient temperature, Represents the ambient humidity, Represents the dust concentration, Represents the gas concentration, Represents the wind speed, Represents the light intensity, Represents the rainfall, Represents the ground stability.

[0015] Preferably, the calculation formula of the electrical operation index is;

[0016]

[0017] In the calculation formula, Represents the electrical operation index, Represents the current electrical data, Represents the current operation time, Represents the th electrical data in the electrical data set, Represents the th operation time, Represents the sum of the ratios of the th to th electrical data to the th to th operation time in the electrical data set starting from Represents the mean value of the sum of the ratios of the th electrical data to the th operation time, representing the average operation state of historical data.

[0018] Preferably, the calculation formula of the mechanical operation index is;

[0019]

[0020] In the calculation formula, Represents the mechanical operation index, Represents the current mechanical data, Represents the current operation time, Represents the th mechanical data, Represents the th operation time, Represents the sum of the ratios of the th to th mechanical data to the th to th operation time starting from Represents the mean value of the sum of the ratios of the th mechanical data to the th operation time.

[0021] Preferably, the calculation formula of the environmental impact index is;

[0022]

[0023] In the calculation formula, represents the environmental impact index, represents the ratio between the th environmental data in the environmental dataset and the standard value of the th environmental data, reflecting the deviation degree of the actual environmental data from the standard environmental state;

[0024] represents the sum from to of all environmental data in the environmental dataset and their ratios, which is the environmental impact index.

[0025] Preferably, the calculation formula of the electrical risk index is;

[0026]

[0027] In the calculation formula, represents the electrical risk index, represents the impact on electricity considering the influence of environmental factors.

[0028] Preferably, the calculation formula of the mechanical risk index is;

[0029]

[0030] In the calculation formula, represents the mechanical risk index, represents the impact on electricity considering the influence of environmental factors.

[0031] Preferably, the construction site risk assessment and judgment module internally sets a low electrical risk threshold, a medium electrical risk threshold, and a high electrical risk threshold;

[0032] When the electrical risk index is lower than the low risk threshold, it is determined that the electrical equipment is in a low risk state; when the electrical risk index is between the low risk and medium risk thresholds, it is determined to be in a medium risk state; when the electrical risk index is higher than the medium risk threshold, it is determined to be in a high risk state;

[0033] The construction site risk assessment and judgment module also internally sets a low mechanical risk threshold, a medium mechanical risk threshold, and a high mechanical risk threshold;

[0034] When the mechanical risk index is lower than the low-risk threshold, it is determined that the mechanical equipment is in a low-risk state; when the mechanical risk index is between the low-risk and medium-risk thresholds, it is determined to be in a medium-risk state; when the mechanical risk index is higher than the medium-risk threshold, it is determined to be in a high-risk state.

[0035] Compared with the prior art, the present invention provides a safety warning system for the construction site of security equipment based on artificial intelligence, which has the following beneficial effects:

[0036] 1. By combining multiple data of a number of parameters of electrical equipment and mechanical equipment, the present invention comprehensively understands and masters the operating conditions of electrical equipment and mechanical equipment. At the same time, considering the impacts of multiple environmental factors on electrical equipment and mechanical equipment, it provides objective data support for the management and maintenance of electrical equipment and mechanical equipment, avoiding subjective assumptions and blind operations, predicting the operating conditions of electrical equipment and mechanical equipment, timely discovering early fault hidden dangers, and making corresponding warnings, avoiding greater losses caused by sudden failures, timely discovering and eliminating potential safety hazards, reducing the accident rate, and creating a safer working environment for the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1 , a safety warning system for the construction site of security equipment based on artificial intelligence, including a construction site data acquisition module, a construction site risk assessment and judgment module, and a construction safety execution module;

[0040] The construction site data acquisition module integrates data acquisition of electrical data sets, mechanical data sets, and environmental data sets through an electrical data acquisition unit, a mechanical data acquisition unit, and an environmental data acquisition unit;

[0041] The expression of the electrical data set is: , in the expression, represents the first electrical data collected, represents the last electrical data collected, represents the number of data collected, Specific parameters representing electrical data, including voltage data, current data, power data, electrical temperature data, leakage current value, insulation resistance value, ground resistance value, harmonics. Multiple parameters are combined for monitoring to comprehensively display the operating conditions of electrical equipment;

[0042] The expression of the mechanical data set is: , in the expression, represents the first mechanical data collected, represents the last mechanical data collected, represents the number of data collected, represents the specific parameters of mechanical data, including mechanical operating time, vibration, mechanical temperature, pressure, rotational speed, mechanical current, mechanical voltage, mechanical power, lubricating oil level, noise, displacement, torque. Multiple parameters are combined for monitoring to comprehensively display the operating conditions of mechanical equipment;

[0043] The expression of the environmental data set is: , in the expression, represents the environmental temperature, represents the environmental humidity, represents the dust concentration, represents the gas concentration, represents the wind speed, represents the light intensity, represents the rainfall, represents the ground stability. Multiple factors are integrated to monitor the environment and understand the impact of the environment on equipment operation;

[0044] The construction site data acquisition module stores and sends the collected electrical data set, mechanical data set, and environmental data set to the construction site risk assessment and judgment module;

[0045] The construction site risk assessment and judgment module evaluates the electrical operation index based on the electrical data set, evaluates the mechanical operation index based on the mechanical data set, and evaluates the environmental impact index based on the environmental data set;

[0046] The calculation formula of the electrical operation index is;

[0047]

[0048] In the calculation formula, represents the electrical operation index, represents the current electrical data, represents the current operating time, represents the th electrical data in the electrical data set, represents the th operating time, Represents the sum between the starting point and ending point in the electrical data set, for the th electrical data and the th running time ratio. Represents the mean of the sum of the th electrical data and the th running time ratio, representing the average operating state of historical data.

[0049] The current formula shows the difference between the current electrical data and the historical average operating state. By comparing the current electrical data with historical data, changes in the operating state of the electrical system can be captured in a timely manner. Whether it is fluctuations in voltage and current, or changes in power factor, etc., they can all be reflected in the operating index, enabling managers to quickly understand the real-time situation of the electrical system, providing a quantitative evaluation standard for the performance of the electrical system. Calculated based on the actual collected electrical data, it provides objective data support for the management and maintenance of the electrical system, avoiding subjective assumptions and blind operations, predicting the operating conditions of the electrical system, helping to detect potential problems in advance, formulating preventive measures, avoiding the occurrence of electrical faults, and improving the reliability and stability of the electrical system;

[0050] The calculation formula for the mechanical operating index is;

[0051]

[0052] In the calculation formula, represents the mechanical operating index, represents the current mechanical data, represents the current running time, represents the th mechanical data, represents the th running time, represents the sum of the ratios of the starting point to ending point, for the th mechanical data and the th running time, represents the mean of the sum of the ratios of the th mechanical data and the th running time;

[0053] This formula shows the difference between the current mechanical data and the historical average operating state. By comparing the current mechanical data with the historical data, the operating state of the mechanical system can be monitored in real time, which helps to detect potential faults or abnormal conditions in a timely manner, so as to take corresponding measures to avoid more serious problems. The formula is calculated based on the actual collected data, providing an objective basis for decision-making. By analyzing the mechanical operation index, more informed maintenance and operation decisions can be made, improving the reliability and efficiency of the mechanical system. When the mechanical operation index is abnormal, it can be an important clue for fault diagnosis, avoiding downtime and production delays caused by equipment failures, helping to improve construction efficiency and reduce project costs;

[0054] The calculation formula for the environmental impact index is;

[0055]

[0056] In the calculation formula, represents the environmental impact index, represents the ratio between the th environmental data in the environmental dataset and the standard value of the th environmental data, reflecting the deviation degree of the actual environmental data from the standard environmental state;

[0057] represents the sum from to of all environmental data in the environmental dataset and their ratios, which is the environmental impact index;

[0058] Calculating the environmental impact index by integrating multiple environmental factors overcomes the limitations of single environmental factor assessment, comprehensively reflects the impact of the environmental situation on the construction site of security equipment, comprehensively considers multiple factors such as temperature, humidity, and dust concentration, and provides a more comprehensive evaluation result;

[0059] The construction site risk assessment and judgment module calculates the electrical risk index and mechanical risk index based on the electrical operation index, mechanical operation index, and environmental impact index, evaluates the electrical risk and mechanical risk, and sends a signal to the construction safety execution module according to the evaluation results;

[0060] The calculation formula for the electrical risk index is;

[0061]

[0062] In the calculation formula, represents the electrical risk index, represents the impact on electricity under the influence of environmental factors;

[0063] The calculation formula for the mechanical risk index is;

[0064]

[0065] In the calculation formula, represents the mechanical risk index, represents the impact on electricity under the influence of environmental factors;

[0066] Inside the construction site risk assessment and judgment module, there are set low-level electrical risk thresholds, medium-level electrical risk thresholds, and high-level electrical risk thresholds;

[0067] When the electrical risk index is lower than the low-risk threshold, it is determined that the electrical equipment is in a low-risk state; when the electrical risk index is between the low-risk and medium-risk thresholds, it is determined to be in a medium-risk state; when the electrical risk index is higher than the medium-risk threshold, it is determined to be in a high-risk state;

[0068] Inside the construction site risk assessment and judgment module, there are also set low-level mechanical risk thresholds, medium-level mechanical risk thresholds, and high-level mechanical risk thresholds;

[0069] When the mechanical risk index is lower than the low-risk threshold, it is determined that the mechanical equipment is in a low-risk state; when the mechanical risk index is between the low-risk and medium-risk thresholds, it is determined to be in a medium-risk state; when the mechanical risk index is higher than the medium-risk threshold, it is determined to be in a high-risk state;

[0070] By combining environmental factors to evaluate electrical equipment and mechanical equipment, adverse factors that may affect the operation of electrical equipment and mechanical equipment can be discovered in advance, early fault hidden dangers can be detected in time, and corresponding warnings can be given to avoid greater losses caused by sudden failures, timely discover and eliminate potential safety hazards, reduce the accident rate, and create a safer working environment for the construction site;

[0071] The construction safety execution module issues a warning according to the received signal.

[0072] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence-based safety warning system for the construction site of security equipment, characterized in that: It includes a construction site data collection module, a construction site risk assessment and judgment module, and a construction safety execution module; The construction site data collection module collects and integrates electrical data sets, mechanical data sets, and environmental data sets through an electrical data collection unit, a mechanical data collection unit, and an environmental data collection unit. The construction site data collection module stores the collected electrical data sets, mechanical data sets, and environmental data sets and sends them to the construction site risk assessment and judgment module; The construction site risk assessment and judgment module evaluates the electrical operation index based on the electrical data set, evaluates the mechanical operation index based on the mechanical data set, and evaluates the environmental impact index based on the environmental data set. The construction site risk assessment and judgment module calculates the electrical risk index and the mechanical risk index based on the electrical operation index, the mechanical operation index, and the environmental impact index to evaluate the electrical risk and the mechanical risk, and sends a signal to the construction safety execution module according to the evaluation result; The construction safety execution module issues a warning according to the received signal.

2. The safety early warning system for the construction site of the security equipment based on artificial intelligence according to claim 1, wherein: The expression of the electrical data set is as follows: , in the expression, represents the first electrical data collected, represents the last electrical data collected, represents the number of data collected, represents the specific parameters of the electrical data, including voltage data, current data, power data, electrical temperature data, leakage current value, insulation resistance value, grounding resistance value, harmonics.

3. The safety warning system for the construction site of security equipment based on artificial intelligence according to claim 2, wherein: The expression of the mechanical data set is as follows: , in the expression, represents the first mechanical data collected, represents the last mechanical data collected, represents the number of data collected, represents the specific parameters of the mechanical data, including mechanical running time, vibration, mechanical temperature, pressure, rotational speed, mechanical current, mechanical voltage, mechanical power, lubricating oil level, noise, displacement, torque.

4. The safety early warning system for the construction site of the security equipment based on artificial intelligence according to claim 3, characterized in that: The expression of the environmental data set is as follows: , in the expression, represents the environmental temperature, represents the environmental humidity, represents the dust concentration, represents the gas concentration, represents the wind speed, represents the light intensity, represents the rainfall, represents the ground stability.

5. The safety warning system for the construction site of the security equipment based on artificial intelligence according to claim 4, wherein: The calculation formula for the electrical operation index is; In the calculation formula, represents the electrical operation index, represents the current electrical data, represents the current operation time, represents the th electrical data in the electrical data set, represents the th operation time, represents the sum of the ratios between the -th and -th electrical data and the -th and -th operation time in the electrical data set starting from represents the average value of the sum of the ratios between the -th electrical data and the -th operation time, representing the average operation state of historical data.

6. The safety early warning system for the construction site of the security equipment based on artificial intelligence according to claim 5, wherein: The calculation formula for the mechanical operation index is; In the calculation formula, represents the mechanical operation index, represents the current mechanical data, represents the current operation time, represents the th mechanical data, represents the th operation time, represents the sum of the ratios of the th to the th mechanical data to the th to the th operation time, represents the mean value of the sum of the ratios of the th mechanical data to the th operation time.

7. The safety warning system for the construction site of security equipment based on artificial intelligence according to claim 6, wherein: The calculation formula for the environmental impact index is; In the calculation formula, represents the environmental impact index, represents the ratio between the th environmental data in the environmental dataset and the standard value of the th environmental data, reflecting the deviation degree of the actual environmental data from the standard environmental state; Represents from starting to ending, the sum of all environmental data in the environmental dataset and their ratios is the environmental impact index.

8. The safety warning system for the construction site of the security equipment based on artificial intelligence according to claim 7, characterized in that: The calculation formula for the electrical risk index is; In the calculation formula, represents the electrical risk index, represents the impact on electricity considering the influence of environmental factors.

9. The safety early warning system for the construction site of the security equipment based on artificial intelligence according to claim 8, wherein: The calculation formula for the mechanical risk index is; In the calculation formula, represents the mechanical risk index, represents the impact on electricity under the influence of environmental factors.

10. The safety early warning system for the construction site of security equipment based on artificial intelligence according to claim 9, wherein: The construction site risk assessment and judgment module internally sets an electrical low-risk threshold, an electrical medium-risk threshold, and an electrical high-risk threshold; When the electrical risk index is lower than the low-risk threshold, it is determined that the electrical equipment is in a low-risk state; When the electrical risk index is between the low-risk and medium-risk thresholds, it is determined to be in a medium-risk state; When the electrical risk index is higher than the medium-risk threshold, it is determined to be in a high-risk state; The construction site risk assessment and judgment module also internally sets a mechanical low-risk threshold, a mechanical medium-risk threshold, and a mechanical high-risk threshold; When the mechanical risk index is lower than the low-risk threshold, it is determined that the mechanical equipment is in a low-risk state; When the mechanical risk index is between the low-risk and medium-risk thresholds, it is determined to be in a medium-risk state; When the mechanical risk index is higher than the medium-risk threshold, it is determined to be in a high-risk state.

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