Electric power construction operation guidance method based on artificial intelligence

Abstract

The invention discloses an electric power construction operation guidance method based on artificial intelligence, and relates to the technical field of electric power construction, and the method comprises the following steps: 1, building an equipment side system, simulating problems existing in the electric power construction operation through equipment, and obtaining data generated by the equipment in the electric power construction operation process; step 2, acquiring feedback data generated by personnel in the power construction operation process through a personnel side system; 3, feedback information obtained in the equipment side system and the personnel side system is transmitted to the management and control system, and data are processed through the management and control system; and step 4, classifying and storing the data processed in the management and control system into a local database according to different personnel and different equipment types, and uploading the data to a platform guidance system. The problem that in an existing construction operation guidance method, only viscosity operation guidance operation in electric power construction can be widely achieved, and targeted operation guidance cannot be conducted on a single person is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power construction, and in particular to an electric power construction operation guidance method based on artificial intelligence. Background Art

[0002] Power construction refers to a series of work related to the construction, installation, maintenance and overhaul of power equipment and facilities. It includes the planning, design, construction, supervision and acceptance of power projects, and is an important part of ensuring power supply and safe operation.

[0003] Announcement No.: CN106803162A, a three-dimensional construction work guidance method based on BIM technology, comprising the following steps: establishing a BIM three-dimensional model; optimizing and improving the established BIM three-dimensional model; managing the model with related documents and audio; uploading the model to the Internet and generating a QR code for the download address; distributing the QR code for the download address to download the model and view the simulation; this method can ensure the quality of the project, improve construction efficiency, and reduce the overall construction cost.

[0004] The above-mentioned existing construction work guidance methods can only broadly implement viscosity work guidance operations in power construction, but cannot provide targeted work guidance to individual individuals, thereby affecting the actual operation effect of the final operator. For this purpose, an artificial intelligence-based power construction work guidance method is provided. Summary of the Invention

[0005] The purpose of the present invention is to provide an artificial intelligence-based power construction operation guidance method to solve the problem that the existing construction operation guidance method proposed in the above background technology can only broadly implement viscosity operation guidance operations in power construction, but cannot provide targeted operation guidance to individual individuals, thereby affecting the actual operation effect of the final operator.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an artificial intelligence-based power construction operation guidance method, comprising the following steps:

[0007] Step 1: Establish an equipment-side system, simulate problems existing in power construction operations through equipment, and obtain data generated by the equipment during power construction operations;

[0008] Step 2: Obtain feedback data generated by personnel during the power construction operation process through the personnel-side system;

[0009] Step 3: The feedback information obtained from the equipment-side system and the personnel-side system is transmitted to the control system, and the control system processes the data;

[0010] Step 4: The data processed in the management and control system is classified and stored in the local database according to different personnel and different equipment types, and then uploaded to the platform guidance system;

[0011] Step 5: The platform guidance system displays guidance data for users to review, and implements guidance assignments on the platform through teaching guidance.

[0012] Preferably, the equipment side system includes an internal sensing module, an equipment monitoring module, a clocking-in module, a simulation module and an equipment feedback module. The simulation module is used to simulate different problems existing in the equipment during power construction operations. The internal sensing module is used to detect corresponding changes in equipment during power construction by personnel through sensors. The equipment monitoring module is used to obtain environmental monitoring data at the location of the equipment. The clocking-in module is used for users to record operation time and number of times by swiping a card, and obtain user information based on information pre-stored in the card. The equipment feedback module is used to output pre-entered feedback voice reminders corresponding to the corresponding changes according to the equipment change status.

[0013] Preferably, the internal sensing module includes a voltage sensor for monitoring temperature and humidity changes in transformers, cables, and generators, a pressure sensor for monitoring pressure changes in pipelines, containers, and oil tank equipment, a flow sensor for measuring flow changes in water, gas, and oil media, a level sensor for monitoring liquid level changes in oil pumps, oil tanks, batteries, and water pool containers, and a current and voltage sensor for measuring current and voltage status.

[0014] Preferably, the personnel-side system includes a head monitoring module, a hand motion capture module and a position detection module. The head monitoring module is a monitoring probe installed on the operator's head, which is used to monitor the operator's operation process in real time. The hand motion capture module is a motion capture device installed on the personnel's hand, which is used to detect the user's hand operation process during the power construction operation. The position detection module is a monitoring probe installed in the operating environment, which is used to obtain the user's location information during the operation.

[0015] Preferably, the management and control system includes a model building module, a data comparison module, a data processing module and a data screening module. The model building module builds a personal model of the personnel based on the acquired device-side data and personnel-side data. The data comparison module is used to compare the personnel data with the standard guidance data to obtain the errors therein. The data processing module is used to package and decompress the data and perform transcoding processing operations according to the type of data. The data screening module is used for management personnel to screen out obvious erroneous data in the data segment.

[0016] Preferably, the model building module is used to establish a personal model of the user, establish an initial model through data input, and judge the user's construction operation according to the data obtained from the operation feedback during the user's construction operation, based on whether there are different operations during the operation, whether there are safety risks, and whether it complies with the specifications and standards. The model is updated based on the final judgment result.

[0017] Preferably, the criterion for judging whether there is a differential operation is whether it matches the operating procedures, operating techniques, and operating tools in the existing demonstration cases; the criterion for judging whether there is a safety risk is whether the differential operation is likely to cause direct or indirect safety risks to equipment and personnel; the inspection standard for whether it complies with the specification standards is based on whether it complies with the industry standards of the equipment and the construction process, and the industry standards are various industry specifications and equipment manuals.

[0018] Preferably, the platform guidance system includes an exhibition and review module, a rating and evaluation module, a teaching and guidance module, and a user authority module. The exhibition and review module includes exhibiting standard demonstration cases in the power construction operation process for visiting users to review, wherein the exhibition methods include practical operation videos, pictures and texts, and three-dimensional simulation animations, including the use of one-to-many public guidance methods and one-to-one non-public guidance methods.

[0019] Preferably, the user authority module is divided into two main authorities, one is the guiding authority for use by the guiding user group, and the other is the authority for use by the guided user group. The guided user authority can be upgraded to the guiding user group through the accumulation of scores at the rating and evaluation module, thereby achieving advancement of authority.

[0020] Preferably, the rating and evaluation module is divided into two parts based on user permissions, including the rating operation of the guiding user group by the guiding user group, and the evaluation operation of the guided user group on the guiding user group. The rating operation is based on the monitoring data, operation process data, and equipment feedback data uploaded by the guided user group. According to the actual operation of the guided user group itself, the guiding user group is rated, and the score of the guided user group's power construction operation process is determined according to the rating, so that the guided user group can obtain the deficiencies in the construction operation according to the score and deduction. The evaluation operation is used to enable the guided user group to score and evaluate the guiding user group in reverse, so that the guiding user group can obtain the score and deduction of the guidance performance according to the scoring and evaluation, and then enable the guiding user group to improve its own subsequent guidance based on the evaluation.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] In the present invention, intelligent collection is carried out in the equipment side system and the personnel side system to obtain various data changes in the equipment and personnel operations, the data is processed by the management and control system, and based on the acquired data, a personal AI intelligent model of the operator is established, and the processed data is classified and stored in the local database, and uploaded to the platform guidance system. In the platform guidance system, the weaknesses of the operators are targeted and improved through teaching guidance and reference. At the same time, an operation guidance system can be established, so that the guidance and guidance processes are comprehensively based on different operators themselves, thereby realizing targeted operation guidance operations for individuals, and improving the guidance standards of enterprises and even industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is the overall principle diagram of the present invention;

[0024] Figure 2 Schematic diagram of the equipment side system of the present invention;

[0025] Figure 3 Schematic diagram of the personnel side system of the present invention;

[0026] Figure 4 Schematic diagram of the control system of the present invention;

[0027] Figure 5 is a schematic diagram of the platform guidance system of the present invention;

[0028] Figure 6 A flow chart is provided for establishing a model of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0030] See also Figure 1-6 The present invention provides an embodiment of an artificial intelligence-based power construction operation guidance method, comprising the following steps:

[0031] Step 1: Establish an equipment-side system, simulate problems existing in power construction operations through equipment, and obtain data generated by the equipment during power construction operations;

[0032] Step 2: Obtain feedback data generated by personnel during the power construction operation process through the personnel-side system;

[0033] Step 3: The feedback information obtained from the equipment-side system and the personnel-side system is transmitted to the control system, and the control system processes the data;

[0034] Step 4: The data processed in the management and control system is classified and stored in the local database according to different personnel and different equipment types, and then uploaded to the platform guidance system;

[0035] Step 5: The platform guidance system displays guidance data for users to review, and implements guidance assignments on the platform through teaching guidance;

[0036] In the above steps: through intelligent collection in the equipment side system and the personnel side system, various data changes in the equipment and personnel operations are obtained, the data is processed through the management and control system, and based on the obtained data, a personal model of the operator is established, the processed data is classified and stored in the local database, and uploaded to the platform guidance system. In the platform guidance system, through teaching guidance and reference, the weaknesses of the operators are targeted and improved. At the same time, an operation guidance system can be established, so that the guidance and guidance process are fully based on different operators themselves, thereby realizing targeted operation guidance operations for individuals, and improving the guidance standards of the enterprise and even the industry;

[0037] Among them, the equipment side system disclosed in the above steps includes an internal sensing module, an equipment monitoring module, a clocking module, a simulation module and an equipment feedback module. The simulation module is used to simulate different problems existing in the equipment during power construction operations, such as simulating how to complete the corresponding detection and judgment operations when the equipment is in a power-off state. In this case, the user can directly make judgments by selecting questions and answers on the display screen. For problems arising during the installation process, the equipment monitoring module can be used to monitor the installation operation status of the personnel at the equipment. At the same time, the monitoring module under the personnel side system can be used to more comprehensively and intuitively obtain the actual operation status of the operator.

[0038] The internal sensing module is used to detect the corresponding changes in equipment during power construction by personnel through sensors. The equipment monitoring module is used to obtain environmental monitoring data at the location of the equipment. The clock-in module is used for users to record the operation time and number of times by swiping a card, and obtain user information based on the information pre-stored in the card. The equipment feedback module is used to output pre-recorded feedback voice reminders corresponding to the corresponding changes according to the equipment change status. The internal sensing module includes voltage sensors for monitoring temperature and humidity changes in transformers, cables, and generators, pressure sensors for monitoring pressure changes in pipelines, containers, and oil tank equipment, flow sensors for measuring changes in the flow of water, gas, and oil media, liquid level sensors for monitoring liquid level changes in oil pumps, oil tanks, batteries, and water tank containers, and current and voltage sensors for measuring current and voltage status;

[0039] The personnel-side system includes: a head monitoring module, a hand motion capture module, and a position detection module. The head monitoring module is a monitoring probe installed on the operator's head, used to monitor the operator's operation process in real time. The hand motion capture module is a motion capture device installed on the operator's hand, used to detect the user's hand operation process during power construction work. The position detection module is a monitoring probe installed in the operating environment, used to obtain the user's location information during operation.

[0040] Based on the monitoring of the personnel-side system and the equipment-side system, the operator's operating techniques, operating steps, and operating positions during the operation are monitored in real time to fully understand the operator's operating habits and lay the foundation for establishing the operator's own personal model;

[0041] The management and control system includes: a model building module, a data comparison module, a data processing module and a data screening module. The model building module builds the personnel's own personal model based on the acquired equipment-side data and personnel-side data. The data comparison module is used to compare the personnel data with the standard guidance data to obtain the errors therein. The data processing module is used to package and decompress the data and perform transcoding processing operations according to the data type. The data screening module is used for management personnel to screen out obvious erroneous data in the data segment. Specifically, the model building module is used to build the user's personal model, establish the initial model through data input, and judge the user's construction operation according to the data obtained from the user's operation feedback during the construction operation according to three aspects: whether there are different operations during the operation, whether there are safety risks, and whether it complies with the specifications and standards. The model is updated based on the final judgment result.

[0042] The criterion for judging whether there are discrepancies in operation is whether they match the operating procedures, operating techniques, and operating tools in existing demonstration cases. The criterion for judging whether there are safety risks is whether the discrepancies in operation are likely to cause direct or indirect safety risks to equipment and personnel. The inspection standard for compliance with specifications and standards is based on whether the equipment and construction operations comply with industry standards, which are various industry specifications and equipment manuals.

[0043] During the establishment of the model, by adding judgment criteria, it is possible to detect whether the operator's operation meets the above standards, and by grading the judgment criteria, users can be more aware of the judgment criteria of different levels. Based on the judgment criteria, it is convenient for users to make improvements and further update their personal models based on the latest data. After passing the above multiple levels of standards, it can be determined that although the operation method is different, it does not pose a safety risk and meets industry standards. The operation process can then be added to the database and platform, thereby expanding the guidance operation data in the platform and database, achieving the effect of seeking common ground while reserving differences, and establishing a virtuous cycle for power construction operation guidance;

[0044] The platform guidance system includes: an exhibition and review module, a rating and evaluation module, a teaching and guidance module, and a user authority module. The exhibition and review module includes an exhibition of standard demonstration cases in the power construction process for visiting users to review. The exhibition methods include practical operation videos, pictures and texts, and three-dimensional simulation animations. It includes one-to-many public guidance methods and one-to-one private guidance methods. Among them, the user authority module is divided into two main permissions: one is the guidance permission for the guiding user group, and the other is the permission for the guided user group. The guided user's permission can be upgraded to the guiding user group through the accumulated scores in the rating and evaluation module, thereby achieving advanced permissions.

[0045] Specifically, the rating and evaluation module is divided into two parts based on user permissions, including the rating operation of the guiding user group on the guided user group, and the evaluation operation of the guided user group on the guiding user group. The rating operation is based on the monitoring data, operation process data, and equipment feedback data uploaded by the guided user group. According to the actual operation of the guided user group itself, the guiding user group is rated, and the score of the guided user group's power construction operation process is determined according to the rating, so that the guided user group can obtain the deficiencies in the construction operation according to the score and deduction. The evaluation operation is used to enable the guided user group to score and evaluate the guiding user group in reverse, so that the guiding user group can obtain the score and deduction of the guidance performance according to the score evaluation, and then enable the guiding user group to improve its own subsequent guidance based on the evaluation;

[0046] Under the guidance system of this platform, the instructor can effectively and quickly obtain detailed information on the operations of the instructors, and can quickly and efficiently provide targeted guidance and teaching on the weaknesses and deficiencies of the operators themselves. The operators can also use this method to conduct self-screening by comparing their own operation videos with other videos, and can store information data such as questions and answers, text, videos, etc. generated during the guidance process in the platform and database, so that the platform and database further enrich the reserves. Under this system, the instructors can gradually reduce the defects of their own operations, achieve authority upgrades, and can in turn provide guidance to new instructors. Based on the rating and evaluation module, it can also reduce the reference time of ordinary personnel, and can facilitate ordinary operators to quickly obtain high-quality guidance information flow. From small enterprises to entire industries, this guidance method and system can be used to standardize and improve the power construction operation process.

[0047] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. An artificial intelligence-based power construction operation guidance method, characterized by: The following steps are involved: Step 1: Establish an equipment-side system, simulate problems existing in power construction operations through equipment, and obtain data generated by the equipment during power construction operations; Step 2: Obtain feedback data generated by personnel during the power construction operation process through the personnel-side system; Step 3: The feedback information obtained from the equipment-side system and the personnel-side system is transmitted to the control system, and the control system processes the data; Step 4: The data processed in the management and control system is classified and stored in the local database according to different personnel and different equipment types, and then uploaded to the platform guidance system; Step 5: The platform guidance system displays guidance data for users to review, and implements guidance assignments on the platform through teaching guidance.

2. The method for guiding electric power construction work based on artificial intelligence according to claim 1, characterized in that: The equipment side system includes an internal sensing module, an equipment monitoring module, a clocking-in module, a simulation module and an equipment feedback module. The simulation module is used to simulate different problems existing in the equipment during power construction operations. The internal sensing module is used to detect the corresponding changes in equipment during power construction by personnel through sensors. The equipment monitoring module is used to obtain environmental monitoring data at the location of the equipment. The clocking-in module is used for users to record the operation time and number of times by swiping the card, and obtain user information based on the information pre-stored in the card. The equipment feedback module is used to output pre-entered feedback voice reminders corresponding to the corresponding changes according to the equipment change status.

3. The method for guiding electric power construction work based on artificial intelligence according to claim 2, characterized in that: The internal sensing module includes a voltage sensor for monitoring temperature and humidity changes in transformers, cables, and generators; a pressure sensor for monitoring pressure changes in pipelines, containers, and oil tank equipment; a flow sensor for measuring changes in the flow of water, gas, and oil media; a liquid level sensor for monitoring liquid level changes in oil pumps, oil tanks, batteries, and water pool containers; and current and voltage sensors for measuring current and voltage status.

4. The method for guiding electric power construction work based on artificial intelligence according to claim 1, characterized in that: The personnel-side system includes a head monitoring module, a hand motion capture module and a position detection module. The head monitoring module is a monitoring probe installed on the operator's head, which is used to monitor the operator's operation process in real time. The hand motion capture module is a motion capture device installed on the personnel's hand, which is used to detect the user's hand operation process during power construction operations. The position detection module is a monitoring probe installed in the operating environment, which is used to obtain the user's location information during operation.

5. The method for guiding electric power construction work based on artificial intelligence according to claim 1, characterized in that: The management and control system includes a model building module, a data comparison module, a data processing module and a data screening module. The model building module builds a personal model of the personnel based on the acquired device-side data and personnel-side data. The data comparison module is used to compare the personnel data with the standard guidance data to obtain the errors therein. The data processing module is used to package and decompress the data and perform transcoding processing operations according to the data type. The data screening module is used for management personnel to screen out obviously erroneous data in the data segment.

6. The artificial intelligence-based power construction work guidance method according to claim 5, characterized in that: The model building module is used to establish a personal model of the user. An initial model is established through data input. Based on the data obtained from the user's operational feedback during the construction operation, the user's construction operation is judged according to whether there are any discrepancies in the operation process, whether there are any safety risks, and whether the operation complies with the specifications and standards. The model is updated based on the final judgment result.

7. The artificial intelligence-based power construction work guidance method according to claim 6, characterized in that: The criterion for judging whether there is a differential operation is whether it matches the operating procedures, operating techniques, and operating tools in the existing demonstration case. The criterion for judging whether there is a safety risk is whether the differential operation is likely to cause direct or indirect safety risks to equipment and personnel. The inspection standard for whether it complies with the specification standards is based on whether it complies with the industry standards of the equipment and construction process. The industry standards are various industry specifications and equipment manuals.

8. The artificial intelligence-based power construction work guidance method according to claim 1, characterized in that: The platform guidance system includes an exhibition and review module, a rating and evaluation module, a teaching and guidance module, and a user authority module. The exhibition and review module includes exhibiting standard demonstration cases in the power construction process for visiting users to review. The exhibition methods include practical videos, pictures and texts, and three-dimensional simulation animations, including the use of one-to-many public guidance methods and one-to-one private guidance methods.

9. The artificial intelligence-based power construction work guidance method according to claim 8, characterized in that: The user authority module is divided into two main authorities: one is the guiding authority for use by the guiding user group, and the other is the authority for use by the guided user group. The guided user authority can be upgraded to the guiding user group through the accumulated scores in the rating and evaluation module, thereby achieving advanced authority.

10. The method for guiding electric power construction work based on artificial intelligence according to claim 9, characterized in that: The rating and evaluation module is divided into two parts based on user permissions, including the rating operation of the guiding user group on the guided user group, and the evaluation operation of the guided user group on the guiding user group. The rating operation is based on the monitoring data, operation process data, and equipment feedback data uploaded by the guided user group. According to the actual operation of the guided user group itself, the guiding user group is rated, and the score of the guided user group's power construction operation process is determined according to the rating, so that the guided user group can obtain the deficiencies in the construction operation according to the score and deduction. The evaluation operation is used to enable the guided user group to score and evaluate the guiding user group in reverse, so that the guiding user group can obtain the score and deduction of the guidance performance according to the scoring evaluation, and then enable the guiding user group to improve its own subsequent guidance based on the evaluation.

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