Intelligent risk management and control system for operation process of new energy industry project

Abstract

The invention provides an intelligent risk management and control system for an operation process of a new energy industry project, and relates to the technical field of operation project safety management, and the system comprises an operation plan management module which is used for making an operation plan and automatically issuing a task; the entrance third-level safety education management and control module is used for realizing safety education and safety assessment qualification management of operators; the three-person qualification examination management and control module is used for managing the three-person qualification examination process and result of the operating personnel; the security qualification management module is used for performing security management and approval of the site; the pre-start safety technical disclosure management and control module is used for carrying out risk management on site safety; the field operation management and control module is used for carrying out risk management on field safety; and the unsafe behavior intelligent identification and alarm module is used for carrying out identification and early warning on unsafe behaviors of the site. The method has the advantages.

Description

Technical Field

[0001] The present invention relates to the technical field of safety management for operation projects, and more specifically, to an intelligent risk control system for the operation process of new energy industry projects. Background Art

[0002] In today's society, with the continuous growth of the demand for clean energy, the new energy industry has developed vigorously, and the construction and operation and maintenance operations of various new energy projects such as wind power generation and photovoltaic power generation have become increasingly frequent. However, these operation processes often face many complex and severe safety risk challenges.

[0003] The traditional operation management mode of new energy industry projects is relatively extensive. The operation plans mostly rely on manual formulation and supervision. Due to the lack of effective real-time monitoring means at the construction site, it is difficult for managers to detect the unsafe behaviors of operators in a timely manner, and phenomena such as not wearing safety helmets correctly are common. At the same time, the assessment and early warning of on-site operation risks are not timely and accurate, mostly relying on the experience judgment of on-site managers. When encountering emergencies such as sudden bad weather, it is difficult to initiate effective countermeasures in a timely manner, which is extremely likely to cause the expansion of accidents. Moreover, the information transmission between different levels of management departments is not smooth. Higher-level management units such as group companies cannot understand the on-site operation situation of projects in real time and intuitively, making it difficult to provide accurate basis for decision-making, and it is also not conducive to the overall planning and optimization of safety management strategies.

[0004] In summary, the existing operation management methods for new energy industry projects urgently need an intelligent, integrated, efficient and accurate risk control system to fill the above-mentioned many technical gaps and improve the operation safety level and management efficiency. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent risk control system for the operation process of new energy industry projects, which realizes an intelligent, integrated, efficient and accurate risk control system.

[0006] The present invention is realized through the following technical solutions:

[0007] An intelligent risk control system for the operation process of new energy industry projects, comprising:

[0008] An operation plan management module, which is used to formulate operation plans and automatically issue tasks;

[0009] An on-site three-level safety education control module, which is used to implement safety education for operators and manage safety assessment qualifications;

[0010] A three-person qualification examination control module, which is used to manage the process and results of the three-person qualification examinations of operators;

[0011] The safety qualification management module is used to conduct safety management and approval of the site based on the stored data of the operation plan management module, the three-level safety education control module for entering the site, and the qualification examination control module for three types of personnel.

[0012] The pre-operation safety technical disclosure control module is used to conduct risk management of site safety before operation.

[0013] The on-site operation control module is used to conduct risk management of site safety during operation according to the operation plan.

[0014] The intelligent identification and alarm module for unsafe behaviors is used to identify and give early warnings of unsafe behaviors on the site during operation.

[0015] Preferably, the method for conducting risk management of site safety before operation is as follows:

[0016] Set the minimum temperature threshold δ tem,min 、the maximum temperature threshold δ tem,max 、the maximum rainfall threshold δ pa and the maximum wind speed threshold δ ws ;

[0017] Obtain the minimum temperature γ tem,min 、the maximum temperature γ tem,max 、the maximum rainfall γ pa and the maximum wind speed γ ws on the operation day;

[0018] Obtain the environmental evaluation parameter α env :

[0019]

[0020] where h is an intermediate parameter, e is the natural constant, and max() is a function to find the maximum value;

[0021] Set the first environmental evaluation threshold, the second environmental evaluation threshold, and the third environmental evaluation threshold, and the first environmental evaluation threshold < the second environmental evaluation threshold < the third environmental evaluation threshold;

[0022] When α env is not greater than the first environmental evaluation threshold, issue an environmental safety notice. When α env is greater than the first environmental evaluation threshold and not greater than the second environmental evaluation threshold, issue an environmental risk notice. When α env is greater than the second environmental evaluation threshold and not greater than the third environmental evaluation threshold, issue a high environmental risk notice. When α env is greater than the third environmental evaluation threshold, issue a notice prohibiting operation.

[0023] Preferably, the method for risk management of site safety during operations is as follows:

[0024] Configure an electronic work badge for each operator, and the information of the electronic work badge includes the operator's identity information and real-time positioning information;

[0025] Obtain the map information of the site, and the map information includes the risk level of each coordinate position;

[0026] Obtain the information of the operator's electronic work badge through multiple samplings within a period;

[0027] Obtain the safety risk parameter β of the operator within the period:

[0028]

[0029] where i represents the sampling number, x i and y i respectively represent the abscissa and ordinate of the operator in the site during the i-th sampling, f(x i , y i ) represents the risk level of the coordinate (x i , y i ), g(x i , y i ), g(x i , y i ) represent the position rationality parameters of the coordinate point (x i , y i ), and g(x i , y i ) is obtained according to the operation plan, β1 and β2 are intermediate parameters, and e is the natural constant:

[0030]

[0031] If β is greater than the preset threshold, it is determined that the operator has an operation risk; otherwise, it is determined that there is no operation risk.

[0032] Preferably, the method for identifying and warning unsafe behaviors in the site during operations is as follows:

[0033] Set up multiple camera devices in the site, and the multiple camera devices cover the entire site;

[0034] The camera devices periodically obtain site images;

[0035] Perform human face recognition on the site images, obtain all operator images, and perform face recognition;

[0036] Determine whether all the face information is in the pre-stored face information database of the operators. If not, issue an abnormal intrusion warning; otherwise, do nothing.

[0037] Preferably, helmet wearing recognition is also performed based on the operator image. The method is as follows:

[0038] Respectively identify the central coordinates (x s , y s ) of the two ends of the line connecting the shoulders in the operator image, and identify the coordinates (x h , y h ) of the vertex of the operator's head;

[0039] Connect (x s , y s ) and (x h , y h ), and obtain the total number of pixel points A all on the line and the number of pixel points A th whose RBG values of the pixels are within the preset threshold range. The threshold range is set according to the color of the safety helmet;

[0040] Obtain the safety helmet recognition parameter θ:

[0041]

[0042] If the safety helmet recognition parameter θ is less than the preset recognition threshold, it is determined that the operator is not wearing a safety helmet and a non-standard operation warning is issued; otherwise, do nothing.

[0043] Preferably, the method for site safety management and approval includes:

[0044] Identify the identity of the operator entering the site;

[0045] Judge whether the identity information of the operator conforms to the operators planned by the operation plan management module. If so, proceed to the next authentication; otherwise, the authentication fails and entry is not allowed;

[0046] Judge whether the operator has passed both the safety assessment and the three-person qualification examination. If so, the verification passes; otherwise, the authentication fails and entry is not allowed.

[0047] Preferably, the method for realizing operator safety education and safety assessment qualification management is:

[0048] Match the skill requirements based on the operator's position information, and select the corresponding course units according to the skill requirements;

[0049] Set the training duration for each course and conduct training and assessment.

[0050] Preferably, the method for formulating the operation plan is as follows:

[0051] Obtain all sub-projects of the operation project and sort them from the highest to the lowest risk.

[0052] Establish an alternative library of operation personnel and obtain the sub-projects that each operation personnel can operate and the corresponding proficiency levels.

[0053] Starting from the sub-project with the highest risk, perform the following operations for each sub-project:

[0054] Obtain all matching operation personnel who can operate the sub-project.

[0055] Determine that the number of operation personnel required for the sub-project is M, select the M operation personnel with the highest proficiency levels from the matching operation personnel and assign them to the sub-project, and delete the operation personnel from the alternative library of operation personnel.

[0056] Preferably, a mobile terminal application module is further provided for providing a remote push function for operation personnel and management personnel.

[0057] Preferably, an emergency management module is further included for allocating resources to handle risks when any of the pre-construction safety technical disclosure control module, the on-site operation control module, and the intelligent identification and alarm module for unsafe behaviors identifies risks.

[0058] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0059] The system of the present invention realizes the automatic formulation and distribution of operation tasks through the operation plan management module, avoids omissions in manual operations, ensures that all sub-projects have undergone sufficient safety management and risk assessment and are implemented by appropriate operation personnel;

[0060] The pre-construction safety technical disclosure control module of the present invention can conduct environmental assessment on the site before operation. The assessment method is comprehensive and the assessment results are accurate, realizing the prediction of potential risks of the operation, ensuring that the operation environment and safety measures meet the standards, and preventing possible safety accidents in real time;

[0061] The intelligent identification and alarm module for unsafe behaviors of the present invention can automatically identify and give early warnings to unsafe behaviors during the operation process, reduce human errors and blind spots, take measures in time to avoid accidents. At the same time, the calculation method for identifying the wearing of safety helmets of the present invention can achieve simple and reliable behavior identification through the simplest feature data extraction, saving computing power and calculating accurately;

[0062] Through the three - level safety education control module for entry and the qualification examination control module for three types of personnel, the present invention ensures that the skills and safety knowledge of operators meet the requirements and standards through automated management, further improving the standardization and safety of operations.

[0063] Through the data collection and analysis of multiple modules, the present invention provides comprehensive data support for safety management, helping managers make more scientific decisions in terms of operation assignment and safety, and ensuring that both operation task planning and safety management are based on evidence. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a schematic diagram of the principle of the intelligent risk control system for the operation process of a new - energy industry project provided in Embodiment 1 of the present invention;

[0065] Figure 2 It is a schematic flowchart of the method for risk management of site safety before operation provided in Embodiment 1 of the present invention;

[0066] Figure 3 It is a schematic flowchart of the method for risk management of site safety during operation provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0067] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the accompanying drawings here can be arranged and designed in various different configurations.

[0068] Embodiment 1

[0069] This embodiment provides an intelligent risk control system for the operation process of a new - energy industry project. Refer to Figure 1 , including:

[0070] An operation plan management module, which is used to formulate an operation plan and automatically issue tasks;

[0071] A three - level safety education control module for entry, which is used to implement safety education for operators and manage safety assessment qualifications;

[0072] A qualification examination control module for three types of personnel, which is used to manage the process and results of the qualification examinations for three types of personnel of operators;

[0073] A safety qualification management module, which is used to conduct safety management and approval of the site according to the stored data of the operation plan management module, the three - level safety education control module for entry, and the qualification examination control module for three types of personnel;

[0074] The pre - construction safety technical disclosure control module is used to conduct risk management on site safety before operation;

[0075] The on - site operation control module is used to conduct risk management on site safety during operation according to the operation plan;

[0076] The intelligent identification and alarm module for unsafe behaviors is used to identify and give early warnings of unsafe behaviors on the site during operation.

[0077] In this embodiment, the method for conducting risk management on site safety before operation is as follows:

[0078] Set the minimum temperature threshold δ tem,min 、the maximum temperature threshold δ tem,max 、the maximum rainfall threshold δ pa and the maximum wind speed threshold δ ws ;

[0079] Obtain the minimum temperature γ tem,min 、the maximum temperature γ tem,max 、the maximum rainfall γ pa and the maximum wind speed γ ws on the operation day;

[0080] Obtain the environmental evaluation parameter α env :

[0081]

[0082] where h is an intermediate parameter, e is the natural constant, and max() is a function to find the maximum value;

[0083] Set the first environmental evaluation threshold, the second environmental evaluation threshold and the third environmental evaluation threshold, and the first environmental evaluation threshold < the second environmental evaluation threshold < the third environmental evaluation threshold;

[0084] When α env is not greater than the first environmental evaluation threshold, issue an environmental safety notice. When α env is greater than the first environmental evaluation threshold and not greater than the second environmental evaluation threshold, issue an environmental risk notice. When α env is greater than the second environmental evaluation threshold and not greater than the third environmental evaluation threshold, issue a high - risk environmental notice. When α env is greater than the third environmental evaluation threshold, issue a notice prohibiting operation.

[0085] In this embodiment, the standard suitable climate values are used as a control. Before the operation, the climate environment on the operation day is evaluated, and different risk levels are divided through the design of multiple thresholds for pre-operation warning, enabling the operators to respond to the climate risk situation on the day. When the climate conditions exceed a certain level, it will automatically judge and force a shutdown. Specifically, this module can implement an online on-site safety disclosure and corresponding signature approval process during implementation, forming a safety disclosure record. This module provides a visual safety disclosure interface, which can explain in detail to the operators the environmental evaluation, safety risks, operating procedures, and emergency measures at the operation site in various forms such as pictures, videos, and texts. After the operators confirm their understanding, they can sign electronically, and the signature records and disclosure content are automatically saved as an important basis for subsequent safety management.

[0086] On the other hand, the method for risk management of site safety during the operation is as follows:

[0087] An electronic work card is configured for each operator, and the information of the electronic work card includes the operator's identity information and real-time positioning information;

[0088] The map information of the site is obtained, and the map information includes the risk level of each coordinate position;

[0089] The information of the operator's electronic work card is obtained by sampling multiple times within a period;

[0090] The safety risk parameter β of the operator within the period is obtained:

[0091]

[0092] Among them, i represents the sampling number, x i and y i respectively represent the abscissa and ordinate of the operator within the site during the i-th sampling, f(x i , y i ) represents the risk level of the coordinate (x i , y i ), g(x i , y i ), g(x i , y i ) represent the position reasonable parameters of the coordinate point (x i , y i ), and g(x i , y i ) is obtained according to the operation plan, β1 and β2 are intermediate parameters, and e is the natural constant:

[0093]

[0094] If β is greater than the preset threshold, it is determined that there is an operation risk for the operator, otherwise it is determined that there is no operation risk.

[0095] In this embodiment, when managing the risk of site safety during operations, the risk level of the operator's location and whether it is within the reasonable operation range are comprehensively considered, and the location control is carried out more accurately and reasonably. The longer the operator stays in a place with a high risk level or the longer the location exceeds the reasonable range, the greater the safety risk parameter β will be. It should be noted that the risk level within the site can be divided according to the actual situation and the setting of the overall level. The higher the value, the more dangerous it is, and the preset threshold for comparing β is also set according to the risk level setting. This module can support real-time viewing of the on-site construction situation. The on-site operation control module can also obtain the location information of the operator in real time. Combining with the electronic fence technology, the activity range of the operator is restricted to prevent them from entering the dangerous area. At the same time, the intelligent recognition algorithm is used to monitor and analyze the equipment status and environmental parameters of the operation site in real time, and potential safety hazards are detected in time and warning signals are sent. In further optimization, the operation process can be closed-loop controlled by combining the electronic positioning work card, camera, and intelligent recognition algorithm. The camera intelligent AI algorithm is started and stopped according to the start and end construction times of the construction work ticket.

[0096] In addition, the method for identifying and warning unsafe behaviors on the site during operations is preferably:

[0097] Set up multiple camera devices within the site, and the multiple camera devices cover the entire site;

[0098] The camera device periodically acquires site images;

[0099] Perform human face recognition on the site image, obtain all operator images, and perform face recognition;

[0100] Judge whether all face information is in the pre-stored operator face information database. If not, an abnormal intrusion warning is issued, otherwise no operation is performed.

[0101] Furthermore, helmet wearing recognition is also performed based on the operator image. The method is:

[0102] Respectively identify the center coordinates (x s , y s ) of the two ends of the shoulder connection in the operator image, and identify the coordinates (x h , y h ) of the vertex of the head in the operator image;

[0103] Connect (x s , y s ) and (x h , yh ) to obtain the total number of pixels A on the connection line all and the number of pixels A whose RGB values of the pixels are within a preset threshold range th , where the threshold range is set according to the color of the safety helmet;

[0104] Obtain the safety helmet recognition parameter θ:

[0105]

[0106] If the safety helmet recognition parameter θ is less than the preset recognition threshold, it is determined that the operator is not wearing a safety helmet and a non-standard operation warning is issued; otherwise, no operation is performed.

[0107] This embodiment simplifies the image processing method. Based on object recognition, the safety helmet recognition parameter can be quickly calculated, with rapid response and calculation and saving computing power resources. It is especially suitable for target operators in any posture. Many traditional image processing methods for recognizing safety helmets may be limited by the actions, postures, and shooting angles of the target, and it is easy to have inaccurate recognition. The center coordinates of the two ends of the connection line of the shoulders in the operator image and the coordinates (x h , y h ) of the vertex of the head in the operator image. There must be a pixel group of the safety helmet on the connection line between them. Therefore, the judgment method of this embodiment has stronger adaptability. After discovering unsafe behaviors, it supports real-time viewing and historical playback. According to the construction work ticket, the intelligent AI algorithm of the camera is started and stopped, and on-site violation behaviors are reported in real time and voice alarms are given. Extensibly, it can also realize the recognition of smoking at the work site, staff falling, the work leader leaving the site, non-staff entering the work area, and on-site fires, and also includes the recognition of dangerous behaviors such as not wearing a safety belt during high-altitude operations, not operating according to operating procedures during electrical operations, and not performing gas detection during confined space operations. Once a violation behavior is discovered, alarm information is immediately sent to relevant personnel in multiple ways such as voice, text message, and APP push.

[0108] As a preferred solution, the method for conducting safety management and approval of the site may include:

[0109] Identify the identity of the operator entering the site;

[0110] Judge whether the identity information of the operator conforms to the operators planned by the operation plan management module. If so, proceed to the next authentication; otherwise, the authentication fails and entry is not allowed;

[0111] Judge whether both the safety assessment and the three-person qualification examination of the operator have passed. If so, the verification passes; otherwise, the authentication fails and entry is not allowed.

[0112] Here, in addition to automatically obtaining the qualification certificate information of personnel, the safety qualification management module can also obtain the inspection reports of special equipment, the qualification certificates of tools, and the driving license information of construction vehicles, conduct strict reviews and approvals, and prohibit personnel and equipment that do not meet safety requirements from entering the operation site.

[0113] In addition, the method for implementing safety education and safety assessment qualification management for operating personnel is as follows:

[0114] Match the skill requirements based on the position information of the operating personnel, and select the corresponding course units according to the skill requirements;

[0115] Set the training duration for each of the courses and conduct training and assessment.

[0116] In specific implementation, the on-site three-level safety education control module supports three-level safety education examinations at the station level, maintenance center level, and regional company level, which are conducted through the computer terminal or mobile terminal, and automatically generates a safety education record file. The on-site three-level safety education control module can provide personalized training courses and examination content according to the requirements of different levels of safety education. The examination results are automatically recorded and linked to the personnel qualifications. Personnel who fail the examination cannot enter the next link. After passing the three-level safety education, personnel can apply for the corresponding three-person qualification examination. The three-person examination control module can verify the personnel in real time by obtaining the examination camera. During the examination process, the behavior of the examinees is monitored in real time by the camera to prevent cheating. After the examination, the papers are automatically graded and a score report is generated. Only personnel with qualified scores can obtain the corresponding qualification certificate.

[0117] In further optimization, the method for formulating the operation plan is as follows:

[0118] Obtain all the sub-projects of the operation project and sort them from the greatest risk to the smallest;

[0119] Establish a candidate library for operating personnel, and obtain the sub-projects that each operating personnel can operate and the corresponding proficiency levels;

[0120] Starting from the sub-project with the greatest risk, perform the following operations on each sub-project:

[0121] Obtain all the matching operating personnel who can operate the sub-project;

[0122] Determine that the number of operating personnel required for the sub-project is M, select the M operating personnel with the highest proficiency levels from the matching operating personnel and assign them to the sub-project, and delete the operating personnel from the candidate library for operating personnel.

[0123] The operation plan management module of this embodiment can automatically generate a detailed operation plan according to the characteristics and operation processes of new energy projects, such as personnel allocation. In addition, it can also include operation tasks, time arrangements, equipment requirements, etc., and accurately distribute tasks to the terminal devices of relevant personnel. At the same time, it can set task tracking and reminder functions to ensure the smooth execution of the operation plan.

[0124] Specifically, a mobile terminal application module is also set up to provide a remote push function for operators and managers. The mobile terminal application module here provides a convenient mobile terminal application for operators and managers, including functions such as operation plan viewing, safety disclosure confirmation, qualification certificate query, on-site violation reporting, and video monitoring viewing. It is convenient for operators to obtain the information required for work and conduct work reports at any time and place, and at the same time improves the work efficiency and management level of managers; the mobile terminal application module has an offline work function. In the case of poor network signals, operators and managers can still use some key functions to ensure the continuity and stability of work.

[0125] Finally, it can also include an emergency management module, which is used to allocate resources to handle risks when any of the pre-construction safety technical disclosure control module, the on-site operation control module, and the intelligent identification and alarm module for unsafe behaviors identifies risks. Specifically, the emergency management module has perfect emergency plan and emergency resource management functions. It can quickly start the emergency plan, allocate emergency resources, and organize rescue work when an accident occurs. At the same time, it can also record and analyze the accident, summarize experience and lessons, and continuously improve the emergency plan and emergency management measures; the emergency plan in the emergency management module can be automatically matched and adjusted according to the accident type, accident level, and actual on-site situation to ensure the pertinence and effectiveness of the emergency plan.

[0126] It should be specially noted that the intelligent risk control system for the operation process of the new energy industry project in this embodiment can be connected to the data analysis and decision support module to collect, organize, analyze, and mine a large amount of data generated during the operation process, and provide intuitive data analysis reports and visual decision support interfaces for managers to help managers timely understand the safety status of the operation site, personnel performance, equipment operation conditions, etc., so as to make scientific and reasonable decisions; the data analysis algorithm in the data analysis and decision support module can be customized according to the user's needs and business rules to meet the personalized needs of different users for data analysis and decision support.

[0127] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, various modifications and variations can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent risk control system for the operation process of a new energy industry project, characterized in that, Including: An operation plan management module, which is used to formulate an operation plan and automatically issue tasks; An entry three-level safety education control module, which is used to implement safety education for operating personnel and manage safety assessment qualifications; A three-types-of-person qualification examination control module, which is used to manage the process and results of the three-types-of-person qualification examinations for operating personnel; A safety qualification management module, which is used to conduct safety management and approval of the site according to the stored data of the operation plan management module, the entry three-level safety education control module, and the three-types-of-person qualification examination control module; A pre-operation safety technical disclosure control module, which is used to conduct risk management of site safety before operation; A on-site operation control module, which is used to conduct risk management of site safety during operation according to the operation plan; An intelligent identification and alarm module for unsafe behaviors, which is used to identify and give early warnings for unsafe behaviors on the site during operation.

2. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, characterized in that, The method for conducting risk management of site safety before operation is: Set the minimum temperature threshold for safe operation δ tem,min , maximum temperature threshold δ tem,max , maximum rainfall threshold δ pa and the maximum wind speed threshold δ ws ; Obtain the lowest temperature γ on the working day tem,min , the highest temperature γ tem,max , the maximum rainfall γ pa and the maximum wind speed γ ws ; Obtain the environmental evaluation parameter α env : Where h is an intermediate parameter, e is the natural constant, and max() is a function for finding the maximum value; Set a first environmental evaluation threshold, a second environmental evaluation threshold, and a third environmental evaluation threshold, and the first environmental evaluation threshold < the second environmental evaluation threshold < the third environmental evaluation threshold; When α env is not greater than the first environmental assessment threshold, an environmental safety notice is issued. When α env is greater than the first environmental assessment threshold and not greater than the second environmental assessment threshold, an environmental risk notice is issued. When α env is greater than the second environmental assessment threshold and not greater than the third environmental assessment threshold, a high environmental risk notice is issued. When α env is greater than the third environmental assessment threshold, a notice to prohibit operations is issued.

3. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, characterized in that, The method for conducting risk management of site safety during operation is: Configure an electronic work permit for each operating personnel, and the information of the electronic work permit includes the identity information and real-time positioning information of the operating personnel; Obtain the map information of the site, and the map information includes the risk level of each coordinate position; Sample the information of the electronic work permit of the operating personnel multiple times within a period; Obtain the safety risk parameter β of the operating personnel within the period: where i represents the sampling number, x i and y i represent the abscissa and ordinate of the operator in the site at the i-th sampling respectively, f(x i , y i ) represents the risk level of the coordinate (x i , y i ), g(x i , y i ), g(x i , y i ) represent the position reasonable parameters of the coordinate point (x i , y i ), and g(x i , y i ) is obtained according to the operation plan, β1 and β2 are intermediate parameters, and e is the natural constant: If β is greater than the preset threshold, it is determined that the operating personnel has an operation risk, otherwise it is determined that there is no operation risk.

4. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, wherein The method for identifying and giving early warnings for unsafe behaviors on the site during operation is: Set multiple camera devices in the site, and the multiple camera devices cover the entire site; The camera device periodically obtains site images; Perform portrait recognition on the site images, obtain all operating personnel images, and conduct face recognition; Judge whether all face information is in the pre-stored operating personnel face information database. If not, an abnormal intrusion warning is issued, otherwise no operation is performed.

5. The intelligent risk control system for the operation process of a new energy industry project according to claim 4, characterized in that, Also perform helmet wearing recognition based on the operating personnel images, and the method is: Respectively identify the central coordinates (x s , y s ) of the line connecting the two ends of the shoulders in the image of the operator, and identify the coordinates (x h , y h ) of the vertex of the head in the image of the operator; Connect (x s , y s ) and (x h , y h ), and obtain the total number of pixels A all on the connection line and the number of pixels B th whose RBG values of the pixels are within the preset threshold range, where the threshold range is set according to the color of the safety helmet; Obtain the helmet recognition parameter θ: If the helmet recognition parameter θ is less than the preset recognition threshold, it is determined that the operating personnel is not wearing a helmet and a non-standard operation warning is issued, otherwise no operation is performed.

6. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, characterized in that, The method for conducting safety management and approval of the site includes: Identify the identity of the operating personnel entering the site; Judge whether the identity information of the operating personnel conforms to the operating personnel planned by the operation plan management module. If so, proceed to the next authentication, otherwise the authentication fails and entry is not allowed; Judge whether the safety assessment and the three-types-of-person qualification examinations of the operating personnel have all passed. If so, the verification passes, otherwise the authentication fails and entry is not allowed.

7. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, wherein, The method for implementing safety education for operating personnel and managing safety assessment qualifications is: Match the skill requirements based on the position information of the operating personnel, and select the corresponding course units according to the skill requirements; Set the training duration for each of the said courses and conduct training and assessment.

8. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, wherein, The method for formulating the operation plan is as follows: Obtain all sub-items of the operation project and sort them from the highest risk to the lowest; Establish an alternative library of operation personnel and obtain the sub-items that each of the said operation personnel can operate and the corresponding proficiency levels; Starting from the sub-item with the highest risk, perform the following operations on each sub-item: Obtain all the matching operation personnel who can operate the said sub-item; Determine that the number of operation personnel required for the said sub-item is M, select the M operation personnel with the highest proficiency levels from the matching operation personnel and assign them to the sub-item, and delete the said operation personnel from the alternative library of operation personnel.

9. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, characterized in that, There is also a mobile terminal application module for providing a remote push function for operation personnel and management personnel.

10. The intelligent risk control system for the operation process of a new energy industry project according to claim 1, wherein, There is also an emergency management module for allocating resources to handle risks when any one of the pre-construction safety technical disclosure control module, the on-site operation control module, and the intelligent identification and alarm module for unsafe behaviors identifies risks.

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