Electric power engineering safety supervision system based on artificial intelligence

Abstract

The invention relates to the field of engineering safety supervision, and discloses an artificial intelligence-based electric power engineering safety supervision system, which comprises a personnel image acquisition module, a vehicle information acquisition module, a construction position acquisition module, a construction personnel acquisition module, a data processing module and an information sending module, the personnel image acquisition module is used for acquiring construction personnel image information during electric power engineering construction, the vehicle information acquisition module is used for acquiring vehicle information entering an electric power engineering construction site, the construction position acquisition module is used for acquiring construction site position information, and the construction personnel acquisition module is used for acquiring construction personnel information. And the data processing module is used for processing the construction personnel image information to generate personnel protection supervision information, processing the construction personnel information to obtain construction personnel supervision information, and processing the vehicle information to obtain entering vehicle supervision information. The electric power engineering safety supervision system can perform electric power engineering safety supervision more comprehensively.

Description

Technical Field

[0001] The present invention relates to the field of engineering safety supervision, and in particular to an artificial intelligence-based power engineering safety supervision system. Background Art

[0002] Power engineering refers to engineering related to the production, transmission and distribution of electric energy. In a broad sense, it also includes engineering that uses electricity as power and energy in various fields. At the same time, it can be understood as power transmission and transformation expansion engineering. During the construction of power engineering, it is necessary to carry out comprehensive construction supervision to ensure the safety of power engineering construction. However, the power engineering safety supervision system in the existing technology has a single supervision type, resulting in insufficient supervision and safety effect, which has brought certain impacts on the use of the power engineering safety supervision system; Therefore, an artificial intelligence-based power engineering safety supervision system is proposed. Summary of the invention

[0003] The technical problem to be solved by the present invention is: how to solve the problem that the power engineering safety supervision system in the prior art has a single supervision type, resulting in insufficient supervision safety effect, which has brought certain impacts on the use of the power engineering safety supervision system, and provides an artificial intelligence-based power engineering safety supervision system.

[0004] The present invention solves the above technical problems through the following technical solutions, which include a personnel image acquisition module, a vehicle information acquisition module, a construction location acquisition module, a construction personnel acquisition module, a data processing module and an information sending module; The personnel image acquisition module is used to collect image information of construction personnel during the construction of the power project, the vehicle information acquisition module is used to collect vehicle information entering the power project construction site, the construction location acquisition module is used to collect construction site location information, and the construction personnel acquisition module is used to collect construction personnel information; The data processing module is used to process the construction personnel image information to generate personnel protection supervision information, process the construction personnel information to obtain the construction personnel supervision information, process the vehicle information to obtain the entry vehicle supervision information, upload the construction location to the Internet, collect the construction location related information, and process the construction location related information to obtain the construction location supervision information; The information sending module is used to send the personnel protection supervision information, construction personnel supervision information, vehicle supervision information and construction location supervision information to a preset receiving terminal after the above information is generated.

[0005] Furthermore, the personnel protection supervision information includes single prompt information and overall warning information, and the specific processing process of the personnel protection supervision information is as follows: extracting the collected construction personnel image information, extracting the number of safety protection equipment from the construction personnel image information to obtain the number of safety protection equipment, and then extracting the number of construction personnel from the construction personnel image information; The difference between the number of construction personnel and the number of safety protection equipment is calculated to obtain an evaluation parameter. When the evaluation parameter is greater than a preset value a1, a single warning message is generated; when the evaluation parameter is greater than a preset value a2, an overall warning message is generated.

[0006] Furthermore, the process of obtaining the number of safety protection equipment and the number of construction personnel is as follows: extracting the collected image information of the construction personnel, importing the preset safety protection equipment model into the image information of the construction personnel, and retrieving the number of models whose similarity with the safety protection equipment model is greater than a preset value from the image information of the construction personnel, that is, obtaining the number of safety protection equipment; The preset human body model is imported into the construction personnel image information, and the number of human body models whose human body model similarity is greater than a preset value is retrieved from the construction personnel image information, that is, the number of construction personnel is obtained.

[0007] Furthermore, the construction worker supervision information includes construction time warning information and human body status warning information, and the specific processing process of the construction worker is as follows: extracting the collected construction worker information, the construction worker information includes the construction time information of a single construction worker and the human body status information of the construction worker; Extract the construction time information of a single construction worker. When the construction time information of a single construction worker is greater than a preset value, a construction time warning message is generated. When the construction time information of a single construction worker is greater than a preset value and the construction worker's human state information is abnormal, a human state warning message is generated.

[0008] Furthermore, the determination of whether the construction worker's human body state information is abnormal is as follows: the collected human body state information of the construction worker is extracted, the human body state information includes body temperature information, heart rate information and blood pressure information, and when any one of the body temperature information, heart rate information and blood pressure information exceeds a preset range, it indicates that the construction worker's human body state information is abnormal.

[0009] Furthermore, the vehicle supervision information includes abnormal vehicle entry information and abnormal vehicle driving information, and the process of obtaining the vehicle supervision information is as follows: extract the collected vehicle information, the vehicle information includes vehicle information and vehicle speed information, verify the vehicle information to obtain vehicle verification information, when the vehicle verification information is verification failure, vehicle abnormal information is generated, when the vehicle verification information is verification success, it is allowed to enter the power engineering construction site, and then collect its vehicle speed information in real time, when the vehicle speed is greater than a preset value, vehicle driving abnormal information is generated.

[0010] Furthermore, the construction location supervision information includes weather warning information and construction warning information of the construction location, and the specific processing of the construction location supervision information is as follows: extracting the collected construction location related information, the construction location related information includes weather information of the construction site and distance information of the nearest residential building of the construction site; Extract weather information of the construction site. When the estimated precipitation in the weather information of the construction site is greater than a preset value or the wind speed is greater than a preset value, weather warning information of the construction location is generated; The distance information of the nearest residential building of the construction site is extracted. When the distance information of the nearest residential building of the construction site is less than the preset value, the construction noise information of the construction site is collected. When the construction noise information of the construction site is greater than the preset value of decibels within the preset time period, a construction warning information is generated.

[0011] Compared with the prior art, the present invention has the following advantages: The artificial intelligence-based power engineering safety supervision system can generate personnel protection supervision information by processing the image information of construction personnel, and can timely understand whether the construction personnel have worn protective equipment as required, so as to better ensure the safety of construction personnel. By processing the information of construction personnel to obtain the supervision information of construction personnel, it can understand the physical condition of construction personnel, and issue timely warnings when abnormalities are found, further ensuring the safety of construction personnel. By processing the vehicle information to obtain the entry vehicle supervision information, it can be understood whether the vehicles entering the construction site are allowed to pass. The construction location is uploaded to the Internet, the relevant information of the construction location is collected, and the relevant information of the construction location is processed to obtain the supervision information of the construction location. It can understand the weather and other factors at the construction location, issue warnings when abnormalities are found, ensure construction safety, and realize more comprehensive power engineering safety supervision, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0013] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0014] like Figure 1 As shown, this embodiment provides a technical solution: an artificial intelligence-based power engineering safety supervision system, including a personnel image acquisition module, a vehicle information acquisition module, a construction location acquisition module, a construction personnel acquisition module, a data processing module and an information sending module; The personnel image acquisition module is used to collect image information of construction personnel during the construction of the power project. The vehicle information acquisition module is used to collect vehicle information entering the power project construction site. The construction location acquisition module is used to collect construction site location information. The construction personnel acquisition module is used to collect construction personnel information. The data processing module is used to process the image information of the construction personnel to generate personnel protection supervision information, process the information of the construction personnel to obtain the supervision information of the construction personnel, process the vehicle information to obtain the supervision information of the entering vehicles, upload the construction location to the Internet, collect the relevant information of the construction location, and process the relevant information of the construction location to obtain the supervision information of the construction location; The information sending module is used to send the personnel protection supervision information, construction personnel supervision information, vehicle supervision information and construction location supervision information to a preset receiving terminal after the above information is generated.

[0015] Furthermore, the personnel protection supervision information includes single prompt information and overall warning information. The specific processing process of the personnel protection supervision information is as follows: extracting the collected construction personnel image information, extracting the number of safety protection equipment from the construction personnel image information to obtain the number of safety protection equipment, and then extracting the number of construction personnel from the construction personnel image information; Calculate the difference between the number of construction personnel and the number of safety protection equipment to obtain an evaluation parameter. When the evaluation parameter is greater than a preset value a1, a single warning message is generated. When the evaluation parameter is greater than a preset value a2, an overall warning message is generated. The present invention generates personnel protection supervision information by processing the image information of the construction personnel, and can timely understand whether the construction personnel are wearing protective equipment as required, so as to better ensure the safety of the construction personnel. By processing the construction personnel information to obtain the construction personnel supervision information, the physical condition of the construction personnel can be understood, and timely warnings can be issued when abnormalities are found, thereby further ensuring the safety of the construction personnel. By processing the vehicle information to obtain the entry vehicle supervision information, it can be understood whether the vehicle entering the construction site is a permitted vehicle, the construction location is uploaded to the Internet, the relevant information of the construction location is collected, and the relevant information of the construction location is processed to obtain the construction location supervision information, so that the weather and other factors at the construction location can be understood, and warnings can be issued when abnormalities are found to ensure construction safety, thereby achieving more comprehensive power engineering safety supervision.

[0016] The process of obtaining the number of safety protection equipment and the number of construction personnel is as follows: extract the collected construction personnel image information, import the preset safety protection equipment model into the construction personnel image information, retrieve the number of models with a similarity greater than a preset value with the safety protection equipment model from the construction personnel image information, and obtain the number of safety protection equipment; Importing the preset human body model into the construction personnel image information, retrieving the number of human body models whose human body model similarity is greater than a preset value from the construction personnel image information, that is, obtaining the number of construction personnel; By analyzing the images of people at the power engineering construction site, we can understand whether the construction workers have worn chemical protection equipment such as safety helmets as required, thereby ensuring the safety of the construction workers.

[0017] The supervision information of construction personnel includes construction time warning information and human body status warning information. The specific processing process of construction personnel is as follows: extracting the collected construction personnel information, which includes the construction time information of a single construction personnel and the human body status information of the construction personnel; Extract the construction time information of a single construction worker. When the construction time information of a single construction worker is greater than a preset value, a construction time warning message is generated. When the construction time information of a single construction worker is greater than the preset value and the construction worker's body state information is abnormal, a body state warning message is generated; Through the above process, it is possible to understand whether there are any abnormalities in the physical condition of the construction workers, and to issue timely warnings when abnormalities are found, thereby avoiding accidents caused by abnormalities in the physical condition of the construction workers.

[0018] The determination of abnormality of the human body state information of the construction personnel is as follows: extracting the collected human body state information of the construction personnel, the human body state information includes body temperature information, heart rate information and blood pressure information. When any one of the body temperature information, heart rate information and blood pressure information exceeds a preset range, it indicates that the human body state information of the construction personnel is abnormal; Through the above process, it is possible to make a more accurate judgment on whether there is any abnormality in the physical condition of the construction worker.

[0019] The vehicle supervision information includes abnormal vehicle entry information and abnormal vehicle driving information. The acquisition process of the vehicle supervision information is as follows: extract the collected vehicle information, which includes vehicle information and vehicle speed information, verify the vehicle information to obtain vehicle verification information, and when the vehicle verification information is a verification failure, generate vehicle abnormal information, and when the vehicle verification information is a verification success, allow it to enter the power engineering construction site, and then collect its vehicle speed information in real time. When the vehicle speed is greater than a preset value, generate vehicle driving abnormal information; Through the above process, vehicles entering the power engineering construction site can be monitored and warnings can be given in a timely manner when abnormalities are found.

[0020] The construction location supervision information includes the weather warning information and the construction warning information of the construction location. The specific processing of the construction location supervision information is as follows: extracting the collected construction location related information, the construction location related information includes the weather information of the construction site and the distance information of the nearest residential building of the construction site; Extract weather information of the construction site. When the estimated precipitation in the weather information of the construction site is greater than a preset value or the wind speed is greater than a preset value, weather warning information of the construction location is generated; Extract the distance information of the nearest residential building of the construction site. When the distance information of the nearest residential building of the construction site is less than the preset value, collect the construction noise information of the construction site. When the construction noise information of the construction site is greater than the preset decibel value within the preset time period, generate construction warning information; Through the above process, it is possible to understand whether there are any abnormal weather conditions at the construction location, as well as the construction noise status during preset time periods such as at night, and to issue timely warnings to achieve comprehensive construction supervision.

[0021] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An artificial intelligence-based power engineering safety supervision system, characterized in that: It includes personnel image acquisition module, vehicle information acquisition module, construction location acquisition module, construction personnel acquisition module, data processing module and information sending module; The personnel image acquisition module is used to collect image information of construction personnel during the construction of the power project, the vehicle information acquisition module is used to collect vehicle information entering the power project construction site, the construction location acquisition module is used to collect construction site location information, and the construction personnel acquisition module is used to collect construction personnel information; The data processing module is used to process the construction personnel image information to generate personnel protection supervision information, process the construction personnel information to obtain the construction personnel supervision information, process the vehicle information to obtain the entry vehicle supervision information, upload the construction location to the Internet, collect the construction location related information, and process the construction location related information to obtain the construction location supervision information; The information sending module is used to send the personnel protection supervision information, construction personnel supervision information, vehicle supervision information and construction location supervision information to a preset receiving terminal after the above information is generated.

2. The power engineering safety supervision system based on artificial intelligence according to claim 1 is characterized by: The personnel protection supervision information includes single prompt information and overall warning information. The specific processing process of the personnel protection supervision information is as follows: extracting the collected construction personnel image information, extracting the number of safety protection equipment from the construction personnel image information to obtain the number of safety protection equipment, and then extracting the number of construction personnel from the construction personnel image information; The difference between the number of construction personnel and the number of safety protection equipment is calculated to obtain an evaluation parameter. When the evaluation parameter is greater than a preset value a1, a single warning message is generated; when the evaluation parameter is greater than a preset value a2, an overall warning message is generated.

3. The power engineering safety supervision system based on artificial intelligence according to claim 2 is characterized by: The process of obtaining the number of safety protection equipment and the number of construction personnel is as follows: extracting the collected construction personnel image information, importing the preset safety protection equipment model into the construction personnel image information, and retrieving the number of models whose similarity with the safety protection equipment model is greater than a preset value from the construction personnel image information, that is, obtaining the number of safety protection equipment; The preset human body model is imported into the construction personnel image information, and the number of human body models whose human body model similarity is greater than a preset value is retrieved from the construction personnel image information, that is, the number of construction personnel is obtained.

4. The power engineering safety supervision system based on artificial intelligence according to claim 1 is characterized by: The construction worker supervision information includes construction time warning information and human body status warning information. The specific processing process of the construction worker is as follows: extracting the collected construction worker information, the construction worker information includes the construction time information of a single construction worker and the human body status information of the construction worker; Extract the construction time information of a single construction worker. When the construction time information of a single construction worker is greater than a preset value, a construction time warning message is generated. When the construction time information of a single construction worker is greater than a preset value and the construction worker's human state information is abnormal, a human state warning message is generated.

5. The power engineering safety supervision system based on artificial intelligence according to claim 4 is characterized by: The determination of whether the construction worker's human body state information is abnormal is as follows: the collected human body state information of the construction worker is extracted, the human body state information includes body temperature information, heart rate information and blood pressure information. When any one of the body temperature information, heart rate information and blood pressure information exceeds a preset range, it indicates that the construction worker's human body state information is abnormal.

6. The power engineering safety supervision system based on artificial intelligence according to claim 1 is characterized by: The vehicle supervision information includes abnormal vehicle entry information and abnormal vehicle driving information. The process of obtaining the vehicle supervision information is as follows: extract the collected vehicle information, the vehicle information includes vehicle information and vehicle speed information, verify the vehicle information to obtain vehicle verification information, when the vehicle verification information is a verification failure, the vehicle abnormal information is generated, when the vehicle verification information is a verification success, it is allowed to enter the power engineering construction site, and then collect its vehicle speed information in real time. When the vehicle speed is greater than a preset value, the vehicle driving abnormal information is generated.

7. The power engineering safety supervision system based on artificial intelligence according to claim 1 is characterized by: The construction location supervision information includes weather warning information and construction warning information of the construction location. The specific processing of the construction location supervision information is as follows: extracting the collected construction location related information, the construction location related information includes weather information of the construction site and distance information of the nearest residential building of the construction site; Extract weather information of the construction site. When the estimated precipitation in the weather information of the construction site is greater than a preset value or the wind speed is greater than a preset value, weather warning information of the construction location is generated; The distance information of the nearest residential building of the construction site is extracted. When the distance information of the nearest residential building of the construction site is less than the preset value, the construction noise information of the construction site is collected. When the construction noise information of the construction site is greater than the preset value of decibels within the preset time period, a construction warning information is generated.

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