CN111651648A - Method and device for intelligent generation of inspection plan for key components of towers - Google Patents
Method and device for intelligent generation of inspection plan for key components of towers Download PDFInfo
- Publication number
- CN111651648A CN111651648A CN202010280951.4A CN202010280951A CN111651648A CN 111651648 A CN111651648 A CN 111651648A CN 202010280951 A CN202010280951 A CN 202010280951A CN 111651648 A CN111651648 A CN 111651648A
- Authority
- CN
- China
- Prior art keywords
- inspected
- tower
- inspection
- key component
- key
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 139
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000005457 optimization Methods 0.000 claims abstract description 17
- 230000008859 change Effects 0.000 claims description 11
- 230000005611 electricity Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000013480 data collection Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
本发明公开了一种杆塔关键部件巡检计划的智能化生成方法和装置，属于无人机巡检领域。所述方法包括：为一个杆塔的每一个关键部件建立一个对应的数字化档案；获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中；确定待巡检关键部件；根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测；根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划。所述装置包括：建立模块、获取模块、确定模块、预测模块和生成模块。本发明能够保证巡检时关键部件的正常运作，提高了巡检的成功率。
The invention discloses an intelligent generation method and device of an inspection plan for key components of a tower and belongs to the field of unmanned aerial vehicle inspection. The method includes: establishing a corresponding digital file for each key part of a tower; acquiring information of each key part of the tower and saving it in the corresponding digital file; determining the key parts to be inspected; Based on the information in the digital files of the key components to be inspected, the intelligent optimization algorithm is used to predict the state changes of the key components to be inspected; the inspection time that can ensure the normal operation of the key components to be inspected is determined according to the prediction results, Generate the corresponding inspection plan. The device includes: establishing module, acquiring module, determining module, predicting module and generating module. The invention can ensure the normal operation of the key components during the inspection, and improve the success rate of the inspection.
Description
技术领域technical field
本发明涉及无人机巡检领域，特别涉及一种杆塔关键部件巡检计划的智能化生成方法和装置。The invention relates to the field of unmanned aerial vehicle inspection, in particular to an intelligent generation method and device of an inspection plan for key components of a tower.
背景技术Background technique
无人机执行巡检电力杆塔任务通常包括多种应用场景。例如，对一个杆塔进行巡检，对一个巡检区域内的多个杆塔进行巡检，以及对一个杆塔上的一个或多个关键部件进行巡检等等。当对一个杆塔上的关键部件进行巡检时，如何制定合适的巡检计划至关重要，针对杆塔的关键部件制定智能化的巡检计划是迫切需要解决的问题。The task of inspecting power towers by drones usually includes a variety of application scenarios. For example, inspection of one tower, inspection of multiple towers in an inspection area, inspection of one or more key components on a tower, and so on. When inspecting the key components of a tower, it is very important to formulate an appropriate inspection plan. The development of an intelligent inspection plan for the key components of the tower is an urgent problem to be solved.
发明内容SUMMARY OF THE INVENTION
本发明提供了一种杆塔关键部件巡检计划的智能化生成方法和装置。所述技术方案如下：The invention provides a method and device for intelligently generating an inspection plan for key components of a tower. The technical solution is as follows:
第一方面，本发明提供了一种杆塔关键部件巡检计划的智能化生成方法，所述方法包括：In a first aspect, the present invention provides an intelligent method for generating an inspection plan for key components of a tower, the method comprising:
为一个杆塔的每一个关键部件建立一个对应的数字化档案；Create a corresponding digital file for each key component of a tower;
获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中；Obtain the information of each key component of the tower and save it in the corresponding digital archives;
确定待巡检关键部件；Determine the key components to be inspected;
根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测；According to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected;
根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划。According to the prediction result, an inspection time that can ensure the normal operation of the key components to be inspected is determined, and a corresponding inspection plan is generated.
可选地，根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，包括：Optionally, according to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected, including:
预先将所述杆塔所处地域的气候划分为多个时期；The climate of the area where the tower is located is divided into multiple periods in advance;
确定所述杆塔当前所在的气候时期，在所述待巡检关键部件的数字化档案中，获取不同年份在所述气候时期的历史巡检数据，根据所述历史巡检数据和预设的算法预测所述待巡检关键部件的状态变化。Determine the current climatic period of the tower, obtain historical inspection data in the climatic period in different years from the digital archives of the key components to be inspected, and predict based on the historical inspection data and a preset algorithm The state changes of the key components to be inspected.
可选地，根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，包括：Optionally, according to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected, including:
预先将所述杆塔所在地区按照电力的使用情况划分为多个时期；The area where the tower is located is divided into a plurality of periods in advance according to the usage of electricity;
确定所述杆塔当前电力的使用时期，在所述待巡检关键部件的数字化档案中，获取不同年份在所述使用时期的历史巡检数据，根据所述历史巡检数据和预设的算法预测所述待巡检关键部件的状态变化。Determine the current power usage period of the tower, obtain historical inspection data during the use period in different years from the digital archives of the key components to be inspected, and predict based on the historical inspection data and a preset algorithm The state changes of the key components to be inspected.
可选地，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，包括：Optionally, obtain the information of each key component of the tower and save it in the corresponding digital file, including:
获取所述杆塔的每一个关键部件的如下一种或多种信息：ID编码、名称、材质、功能、已使用时长、中心经度、中心纬度、中心高度、巡检历史数据，将获取的每一个关键部件的信息保存在对应的数字化档案中。Obtain one or more of the following information of each key component of the tower: ID code, name, material, function, used time, center longitude, center latitude, center height, inspection history data, each of the acquired Information on key components is stored in corresponding digital archives.
可选地，所述方法还包括：Optionally, the method further includes:
在所述巡检计划执行完成后，将本次的巡检信息记录到所述关键部件对应的数字化档案中。After the execution of the inspection plan is completed, the inspection information of this time is recorded in the digital file corresponding to the key components.
第二方面，本发明还提供了一种杆塔关键部件巡检计划的智能化生成装置，所述装置包括：In a second aspect, the present invention also provides an intelligent generating device for an inspection plan for key components of a tower, the device comprising:
建立模块，用于为一个杆塔的每一个关键部件建立一个对应的数字化档案；Establishing a module for establishing a corresponding digital file for each key component of a tower;
获取模块，用于获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中；an acquisition module, used to acquire the information of each key component of the tower and save it in a corresponding digital file;
确定模块，用于确定待巡检关键部件；A determination module is used to determine the key components to be inspected;
预测模块，用于根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测；a prediction module, configured to use an intelligent optimization algorithm to predict the state change of the key components to be inspected according to the information in the digital archives of the key components to be inspected;
生成模块，用于根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划。The generating module is configured to determine the inspection time that can ensure the normal operation of the key components to be inspected according to the prediction result, and generate a corresponding inspection plan.
可选地，所述预测模块用于：Optionally, the prediction module is used to:
预先将所述杆塔所处地域的气候划分为多个时期；The climate of the area where the tower is located is divided into multiple periods in advance;
确定所述杆塔当前所在的气候时期，在所述待巡检关键部件的数字化档案中，获取不同年份在所述气候时期的历史巡检数据，根据所述历史巡检数据和预设的算法预测所述待巡检关键部件的状态变化。Determine the current climatic period of the tower, obtain historical inspection data in the climatic period in different years from the digital archives of the key components to be inspected, and predict based on the historical inspection data and a preset algorithm The state changes of the key components to be inspected.
可选地，所述预测模块用于：Optionally, the prediction module is used to:
预先将所述杆塔所在地区按照电力的使用情况划分为多个时期；The area where the tower is located is divided into a plurality of periods in advance according to the usage of electricity;
确定所述杆塔当前电力的使用时期，在所述待巡检关键部件的数字化档案中，获取不同年份在所述使用时期的历史巡检数据，根据所述历史巡检数据和预设的算法预测所述待巡检关键部件的状态变化。Determine the current power usage period of the tower, obtain historical inspection data during the use period in different years from the digital archives of the key components to be inspected, and predict based on the historical inspection data and a preset algorithm The state changes of the key components to be inspected.
可选地，所述获取模块用于：Optionally, the obtaining module is used for:
获取所述杆塔的每一个关键部件的如下一种或多种信息：ID编码、名称、材质、功能、已使用时长、中心经度、中心纬度、中心高度、巡检历史数据，将获取的每一个关键部件的信息保存在对应的数字化档案中。Obtain one or more of the following information of each key component of the tower: ID code, name, material, function, used time, center longitude, center latitude, center height, inspection history data, each of the acquired Information on key components is stored in corresponding digital archives.
可选地，所述获取模块还用于：Optionally, the obtaining module is also used for:
在所述巡检计划执行完成后，将本次的巡检信息记录到所述关键部件对应的数字化档案中。After the execution of the inspection plan is completed, the inspection information of this time is recorded in the digital file corresponding to the key components.
本发明提供的技术方案带来的有益效果是：通过为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，确定待巡检关键部件；根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划，从而能够在关键部件可能发生故障前提前检查，保证了巡检时关键部件的正常运作，提高了巡检的成功率。The beneficial effects brought by the technical solution provided by the present invention are: by establishing a corresponding digital file for each key component of a tower, obtaining the information of each key component of the tower and saving it in the corresponding digital file, determining The key components to be inspected; according to the information in the digital files of the key components to be inspected, the intelligent optimization algorithm is used to predict the state changes of the key components to be inspected, and it is determined according to the prediction results that the inspection can be guaranteed. The inspection time for the normal operation of the key components will generate the corresponding inspection plan, so that the key components can be inspected in advance before they may fail, which ensures the normal operation of the key components during the inspection and improves the success rate of the inspection.
附图说明Description of drawings
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.
图1是本发明一实施例提供的杆塔关键部件巡检计划的智能化生成方法流程图；1 is a flowchart of an intelligent generation method for an inspection plan for key components of a tower provided by an embodiment of the present invention;
图2是本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成方法流程图；2 is a flowchart of an intelligent generation method for an inspection plan for key components of a tower provided by another embodiment of the present invention;
图3是本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成流程示意图；3 is a schematic flowchart of an intelligent generation of an inspection plan for key components of a tower provided by another embodiment of the present invention;
图4是本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成装置结构图；4 is a structural diagram of an intelligent generating device for an inspection plan for key components of a tower provided by another embodiment of the present invention;
图5是本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成流程应用场景示意图。FIG. 5 is a schematic diagram of an application scenario of an intelligent generation process of an inspection plan for key components of a tower provided by another embodiment of the present invention.
具体实施方式Detailed ways
为使本发明的目的、技术方案和优点更加清楚，下面将结合附图对本发明实施方式作进一步地详细描述。In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
本发明实施例提供了一种杆塔关键部件巡检计划的智能化生成方法和装置，用于对杆塔的关键部件进行巡检。针对一座杆塔上若干的关键部件，可以智能化制定各自具体的巡检计划。不同关键部件的功能和材料不同，相同关键部件的使用情况不同，基于关键部件状态变化的预测，判定巡检频率，从而保证巡检时关键部件的正常运作，提高巡检的成功率。The embodiments of the present invention provide a method and device for intelligently generating an inspection plan for key components of a tower, which are used for inspecting the key components of a tower. For several key components on a tower, specific inspection plans can be intelligently formulated. The functions and materials of different key components are different, and the usage of the same key components is different. Based on the prediction of the state changes of the key components, the inspection frequency is determined, so as to ensure the normal operation of the key components during the inspection and improve the success rate of the inspection.
参见图1，本发明一实施例提供了一种杆塔关键部件巡检计划的智能化生成方法，包括：Referring to FIG. 1, an embodiment of the present invention provides a method for intelligently generating an inspection plan for key components of a tower, including:
101：为一个杆塔的每一个关键部件建立一个对应的数字化档案；101: Establish a corresponding digital file for each key component of a tower;
102：获取杆塔的每一个关键部件的信息并保存在对应的数字化档案中；102: Obtain the information of each key component of the tower and save it in the corresponding digital file;
103：确定待巡检关键部件；103: Determine the key components to be inspected;
104：根据待巡检关键部件的数字化档案中的信息，使用智能优化算法对待巡检关键部件的状态变化进行预测；104: According to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected;
其中，所使用的待巡检关键部件的数字化档案中的信息为关键部件的历史巡检数据，包括巡检视频和图像。通常，这些视频和图像是按时间顺序排列的，通过这些有序的数据预测关键部件在不同时期内随时间流逝的状态变化，从而在其可能发生故障前及时检查并发现。Among them, the information in the digital archives of the key components to be inspected is the historical inspection data of the key components, including inspection videos and images. Usually, these videos and images are arranged in chronological order, and the state changes of key components over time are predicted through this ordered data, so that they can be checked and detected in time before they may fail.
105：根据预测结果判定能够保证待巡检关键部件正常运作的巡检时间，生成相应的巡检计划。105: Determine the inspection time that can ensure the normal operation of the key components to be inspected according to the prediction result, and generate a corresponding inspection plan.
本实施例中，可选的，根据待巡检关键部件的数字化档案中的信息，使用智能优化算法对待巡检关键部件的状态变化进行预测，包括：In this embodiment, optionally, according to the information in the digital archives of the key components to be inspected, an intelligent optimization algorithm is used to predict the state changes of the key components to be inspected, including:
预先将杆塔所处地域的气候划分为多个时期；The climate of the area where the tower is located is divided into multiple periods in advance;
确定杆塔当前所在的气候时期，在待巡检关键部件的数字化档案中，获取不同年份在气候时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化。Determine the current climate period of the tower, obtain historical inspection data in different years in the climatic period from the digital archives of the key components to be inspected, and predict the state changes of the key components to be inspected according to the historical inspection data and preset algorithms .
本实施例中，可选的，根据待巡检关键部件的数字化档案中的信息，使用智能优化算法对待巡检关键部件的状态变化进行预测，包括：In this embodiment, optionally, according to the information in the digital archives of the key components to be inspected, an intelligent optimization algorithm is used to predict the state changes of the key components to be inspected, including:
预先将杆塔所在地区按照电力的使用情况划分为多个时期；The area where the tower is located is divided into multiple periods in advance according to the usage of electricity;
确定杆塔当前电力的使用时期，在待巡检关键部件的数字化档案中，获取不同年份在使用时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化。Determine the current power usage period of the tower, obtain the historical inspection data of different years in the period of use in the digital archives of the key components to be inspected, and predict the state changes of the key components to be inspected according to the historical inspection data and preset algorithms .
本实施例中，可选的，获取杆塔的每一个关键部件的信息并保存在对应的数字化档案中，包括：In this embodiment, optionally, the information of each key component of the tower is obtained and stored in the corresponding digital file, including:
获取杆塔的每一个关键部件的如下一种或多种信息：ID编码、名称、材质、功能、已使用时长、中心经度、中心纬度、中心高度、巡检历史数据，将获取的每一个关键部件的信息保存在对应的数字化档案中。Obtain one or more of the following information about each key component of the tower: ID code, name, material, function, used time, center longitude, center latitude, center height, inspection history data, and each key component to be acquired The information is stored in the corresponding digital archives.
本实施例中，可选的，上述方法还包括：In this embodiment, optionally, the above method further includes:
在巡检计划执行完成后，将本次的巡检信息记录到关键部件对应的数字化档案中。After the implementation of the inspection plan is completed, the inspection information of this time is recorded in the digital file corresponding to the key components.
本实施例提供的上述方法，通过为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，确定待巡检关键部件；根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划，从而能够在关键部件可能发生故障前提前检查，保证了巡检时关键部件的正常运作，提高了巡检的成功率。In the above method provided in this embodiment, a corresponding digital file is established for each key component of a tower, the information of each key component of the tower is acquired and stored in the corresponding digital file, and the key components to be inspected are determined. ; According to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected, and determine, according to the prediction results, which can ensure the normal operation of the key components to be inspected. According to the inspection time, the corresponding inspection plan can be generated, so that the key components can be checked in advance before the possible failure, which ensures the normal operation of the key components during the inspection, and improves the success rate of the inspection.
参见图2，本发明另一实施例提供了一种杆塔关键部件巡检计划的智能化生成方法，包括：Referring to FIG. 2 , another embodiment of the present invention provides a method for intelligently generating an inspection plan for key components of a tower, including:
201：为一个杆塔的每一个关键部件建立一个对应的数字化档案；201: Establish a corresponding digital file for each key component of a tower;
202：获取杆塔的每一个关键部件的如下一种或多种信息：ID编码、名称、材质、功能、已使用时长、中心经度、中心纬度、中心高度、巡检历史数据，将获取的每一个关键部件的信息保存在对应的数字化档案中；202: Obtain one or more of the following information of each key component of the tower: ID code, name, material, function, used time, center longitude, center latitude, center height, and inspection history data, each acquired The information of key components is stored in the corresponding digital archives;
本实施例中，关键部件的ID编码是唯一的ID标识，即使是相同部件其数字化档案也不同。具体的，该ID编码可以按照如下编码规则进行编码：省、市、区、所属杆塔编号以及位置代码。巡检历史数据可以包括：何时巡检，巡检时部件状态如何等等，且巡检历史数据可以按照时间线的顺序依次排列，具体不限定。In this embodiment, the ID code of the key components is a unique ID identification, and even the digital files of the same components are different. Specifically, the ID code can be coded according to the following coding rules: province, city, district, number of the tower to which it belongs, and location code. The inspection history data may include: when the inspection is performed, the status of the components during the inspection, etc., and the inspection history data may be arranged in the order of the time line, which is not specifically limited.
203：确定待巡检关键部件；203: Determine the key components to be inspected;
204：预先将杆塔所处地域的气候划分为多个时期；204: The climate of the area where the tower is located is divided into multiple periods in advance;
其中，可以将气候划分为四季，或者划分为雨季和旱季等等。Among them, the climate can be divided into four seasons, or divided into rainy season and dry season and so on.
205：确定杆塔当前所在的气候时期，在待巡检关键部件的数字化档案中，获取不同年份在气候时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化；205: Determine the current climate period of the tower, obtain historical inspection data in different years in the climatic period from the digital archives of the key components to be inspected, and predict the key components to be inspected according to the historical inspection data and preset algorithms. state change;
本实施例中，上述步骤204和205还可以由以下步骤来替换：In this embodiment, the
预先将杆塔所在地区按照电力的使用情况划分为多个时期；The area where the tower is located is divided into multiple periods in advance according to the usage of electricity;
确定杆塔当前电力的使用时期，在待巡检关键部件的数字化档案中，获取不同年份在使用时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化。Determine the current power usage period of the tower, obtain the historical inspection data of different years in the period of use in the digital archives of the key components to be inspected, and predict the state changes of the key components to be inspected according to the historical inspection data and preset algorithms .
其中，可以划分时期为：如在夏季7、8月份，划分为用电高峰期，春秋季则划分为用电平稳期等等。Among them, the period can be divided into: for example, in July and August in summer, it is divided into peak electricity consumption period, spring and autumn are divided into stable electricity consumption period and so on.
206：根据预测结果判定能够保证待巡检关键部件正常运作的巡检时间，生成相应的巡检计划；206: Determine the inspection time that can ensure the normal operation of the key components to be inspected according to the prediction result, and generate a corresponding inspection plan;
其中，能够保证待巡检关键部件正常运作的巡检时间，就是指待巡检关键部件在一定时期内的巡检频率，即多久巡检一次才能保证该关键部件在出故障或问题之前被发现，从而进行排除。Among them, the inspection time that can ensure the normal operation of the key components to be inspected refers to the inspection frequency of the key components to be inspected within a certain period of time, that is, how often the inspection is required to ensure that the key components are found before failure or problems. , to exclude.
207：在巡检计划执行完成后，将本次的巡检信息记录到关键部件对应的数字化档案中。207: After the execution of the inspection plan is completed, record the inspection information of this time in the digital file corresponding to the key components.
其中，上述巡检信息包括但不限于：巡检日期、巡检的视频和图像、无人机的ID、所述关键部件的ID和巡检数据类别。其中，巡检日期可以为精确的时间戳、巡检数据类别是指视频或图像两种类别，巡检得到的视频和图像都会带有精确的拍摄时间的时间戳。另外，数字化档案中的巡检视频和图像可以按时间戳的时间顺序保存。而且，本实施例中的数字化档案是持续更新维护的。Wherein, the above-mentioned inspection information includes but is not limited to: inspection date, inspection videos and images, the ID of the drone, the ID of the key components, and the inspection data category. Wherein, the inspection date can be an accurate time stamp, the inspection data category refers to two categories of video or image, and the video and image obtained from the inspection will have the time stamp of the precise shooting time. In addition, inspection videos and images in digitized archives can be saved in time-stamped chronological order. Moreover, the digital archives in this embodiment are continuously updated and maintained.
参见图3，为本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成流程示意图。该流程具体如下：首先进行数据收集，为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，并进行数据预处理，包括：数据清理，如补齐缺失数据、识别并删除异常的数据、清楚重复数据等，还有数据集成和变换，如将多个数据源中的数据结合并统一，通过规范化处理使得它们能用于算法分析等。其次，确定待巡检关键部件，根据待巡检关键部件的数字化档案中的信息，使用智能算法对待巡检关键部件的状态变化进行预测，得到预测结果。然后，根据预测结果判定能够保证待巡检关键部件正常运作的巡检时间，生成相应的巡检计划并显示在巡检人员的移动终端上。最终，巡检人员将无人机带到现场，由移动终端驱动无人机按照巡检计划执行相应的巡检操作。Referring to FIG. 3 , it is a schematic diagram of an intelligent generation process of an inspection plan for key components of a tower according to another embodiment of the present invention. The process is as follows: First, data collection is performed, a corresponding digital file is established for each key component of a tower, the information of each key component of the tower is obtained and stored in the corresponding digital file, and data preprocessing is performed. , including: data cleaning, such as filling missing data, identifying and removing abnormal data, clearing duplicate data, etc., as well as data integration and transformation, such as combining and unifying data from multiple data sources, and normalizing them so that they can be For algorithm analysis, etc. Secondly, determine the key components to be inspected, and use intelligent algorithms to predict the state changes of the key components to be inspected according to the information in the digital archives of the key components to be inspected, and obtain the prediction result. Then, according to the prediction result, the inspection time that can ensure the normal operation of the key components to be inspected is determined, and the corresponding inspection plan is generated and displayed on the mobile terminal of the inspector. Finally, the inspectors bring the drone to the scene, and the mobile terminal drives the drone to perform the corresponding inspection operation according to the inspection plan.
本实施例提供的上述方法，通过为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，确定待巡检关键部件；根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划，从而能够在关键部件可能发生故障前提前检查，保证了巡检时关键部件的正常运作，提高了巡检的成功率。In the above method provided in this embodiment, a corresponding digital file is established for each key component of a tower, the information of each key component of the tower is acquired and stored in the corresponding digital file, and the key components to be inspected are determined. ; According to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected, and determine, according to the prediction results, which can ensure the normal operation of the key components to be inspected. According to the inspection time, the corresponding inspection plan can be generated, so that the key components can be checked in advance before the possible failure, which ensures the normal operation of the key components during the inspection, and improves the success rate of the inspection.
参见图4，本发明另一实施例提供了一种杆塔关键部件巡检计划的智能化生成装置，包括：Referring to FIG. 4 , another embodiment of the present invention provides an intelligent generating device for an inspection plan for key components of a tower, including:
建立模块401，用于为一个杆塔的每一个关键部件建立一个对应的数字化档案；The
获取模块402，用于获取杆塔的每一个关键部件的信息并保存在对应的数字化档案中；The
确定模块403，用于确定待巡检关键部件；A
预测模块404，用于根据待巡检关键部件的数字化档案中的信息，使用智能优化算法对待巡检关键部件的状态变化进行预测；The
生成模块405，用于根据预测结果判定能够保证待巡检关键部件正常运作的巡检时间，生成相应的巡检计划。The
本实施例中，可选的，预测模块用于：In this embodiment, optionally, the prediction module is used for:
预先将杆塔所处地域的气候划分为多个时期；The climate of the area where the tower is located is divided into multiple periods in advance;
确定杆塔当前所在的气候时期，在待巡检关键部件的数字化档案中，获取不同年份在气候时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化。Determine the current climate period of the tower, obtain historical inspection data in different years in the climatic period from the digital archives of the key components to be inspected, and predict the state changes of the key components to be inspected according to the historical inspection data and preset algorithms .
本实施例中，可选的，预测模块用于：In this embodiment, optionally, the prediction module is used for:
预先将杆塔所在地区按照电力的使用情况划分为多个时期；The area where the tower is located is divided into multiple periods in advance according to the usage of electricity;
确定杆塔当前电力的使用时期，在待巡检关键部件的数字化档案中，获取不同年份在使用时期的历史巡检数据，根据历史巡检数据和预设的算法预测待巡检关键部件的状态变化。Determine the current power usage period of the tower, obtain the historical inspection data of different years in the period of use in the digital archives of the key components to be inspected, and predict the state changes of the key components to be inspected according to the historical inspection data and preset algorithms .
本实施例中，可选的，获取模块用于：In this embodiment, optionally, the obtaining module is used for:
获取杆塔的每一个关键部件的如下一种或多种信息：ID编码、名称、材质、功能、已使用时长、中心经度、中心纬度、中心高度、巡检历史数据，将获取的每一个关键部件的信息保存在对应的数字化档案中。Obtain one or more of the following information about each key component of the tower: ID code, name, material, function, used time, center longitude, center latitude, center height, inspection history data, and each key component to be acquired The information is stored in the corresponding digital archives.
本实施例中，可选的，获取模块还用于：In this embodiment, optionally, the obtaining module is also used for:
在巡检计划执行完成后，将本次的巡检信息记录到关键部件对应的数字化档案中。After the execution of the inspection plan is completed, the inspection information of this time is recorded in the digital file corresponding to the key components.
参见图5，为本发明另一实施例提供的杆塔关键部件巡检计划的智能化生成流程应用场景示意图。该流程具体如下：首先进行数据收集，为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中。其次，确定待巡检关键部件，根据待巡检关键部件的数字化档案中的信息，基于气候或用电情况使用智能算法对待巡检关键部件的状态变化进行预测，得到预测结果。然后，根据预测结果判定能够保证待巡检关键部件正常运作的巡检时间，生成相应的巡检计划并显示在巡检人员的移动终端上。最终，巡检人员将无人机带到现场，由移动终端驱动无人机按照巡检计划执行相应的巡检操作。Referring to FIG. 5 , it is a schematic diagram of an application scenario of an intelligent generation process of an inspection plan for key components of a tower according to another embodiment of the present invention. The specific process is as follows: firstly, data collection is performed, a corresponding digital file is established for each key component of a tower, and the information of each key component of the tower is obtained and stored in the corresponding digital file. Secondly, determine the key components to be inspected, and use intelligent algorithms to predict the state changes of the key components to be inspected based on the information in the digital archives of the key components to be inspected based on climate or electricity consumption, and obtain the prediction results. Then, according to the prediction result, the inspection time that can ensure the normal operation of the key components to be inspected is determined, and the corresponding inspection plan is generated and displayed on the mobile terminal of the inspector. Finally, the inspectors bring the drone to the scene, and the mobile terminal drives the drone to perform the corresponding inspection operation according to the inspection plan.
本实施例提供的上述装置可以执行上述任一方法实施例中提供的方法，详细过程见方法实施例中的描述，此处不赘述。The foregoing apparatus provided in this embodiment may execute the method provided in any of the foregoing method embodiments, and the detailed process can be found in the description in the method embodiment, which is not repeated here.
本实施例提供的上述装置，通过为一个杆塔的每一个关键部件建立一个对应的数字化档案，获取所述杆塔的每一个关键部件的信息并保存在对应的数字化档案中，确定待巡检关键部件；根据所述待巡检关键部件的数字化档案中的信息，使用智能优化算法对所述待巡检关键部件的状态变化进行预测，根据预测结果判定能够保证所述待巡检关键部件正常运作的巡检时间，生成相应的巡检计划，从而能够在关键部件可能发生故障前提前检查，保证了巡检时关键部件的正常运作，提高了巡检的成功率。The above-mentioned device provided in this embodiment, by establishing a corresponding digital file for each key component of a tower, obtains the information of each key component of the tower and saves it in the corresponding digital file, and determines the key components to be inspected. ; According to the information in the digital archives of the key components to be inspected, use an intelligent optimization algorithm to predict the state changes of the key components to be inspected, and determine, according to the prediction results, which can ensure the normal operation of the key components to be inspected. According to the inspection time, the corresponding inspection plan can be generated, so that the key components can be checked in advance before the possible failure, which ensures the normal operation of the key components during the inspection, and improves the success rate of the inspection.
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成，也可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，上述提到的存储介质可以是只读存储器，磁盘或光盘等。Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, etc.
以上所述仅为本发明的较佳实施例，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010280951.4A CN111651648A (en) | 2020-04-10 | 2020-04-10 | Method and device for intelligent generation of inspection plan for key components of towers |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010280951.4A CN111651648A (en) | 2020-04-10 | 2020-04-10 | Method and device for intelligent generation of inspection plan for key components of towers |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111651648A true CN111651648A (en) | 2020-09-11 |
Family
ID=72352074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010280951.4A Pending CN111651648A (en) | 2020-04-10 | 2020-04-10 | Method and device for intelligent generation of inspection plan for key components of towers |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111651648A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115775088A (en) * | 2023-02-13 | 2023-03-10 | 成都秦川物联网科技股份有限公司 | Intelligent gas routing inspection plan determination method and Internet of things system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968878A (en) * | 2012-11-07 | 2013-03-13 | 中科华核电技术研究院有限公司 | Method, system and device for warning routing inspection of nuclear power station field device |
| WO2016034993A1 (en) * | 2014-09-02 | 2016-03-10 | Bombardier Inc. | Method and system for determining sampling plan for inspection of composite components |
| CN106600447A (en) * | 2015-10-14 | 2017-04-26 | 山东鲁能智能技术有限公司 | Transformer station inspection robot centralized monitoring system big data cloud analysis method |
| CN109359900A (en) * | 2018-12-13 | 2019-02-19 | 重庆赛科机电技术服务有限公司 | A kind of inspection management platform |
| CN109905885A (en) * | 2018-04-12 | 2019-06-18 | 华为技术有限公司 | A method for determining a list of base stations for inspection and inspection device |
| CN110674900A (en) * | 2019-09-19 | 2020-01-10 | 江苏濠汉信息技术有限公司 | RFID-based method and device for inspecting tower defects by unmanned aerial vehicle |
-
2020
- 2020-04-10 CN CN202010280951.4A patent/CN111651648A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968878A (en) * | 2012-11-07 | 2013-03-13 | 中科华核电技术研究院有限公司 | Method, system and device for warning routing inspection of nuclear power station field device |
| WO2016034993A1 (en) * | 2014-09-02 | 2016-03-10 | Bombardier Inc. | Method and system for determining sampling plan for inspection of composite components |
| CN106600447A (en) * | 2015-10-14 | 2017-04-26 | 山东鲁能智能技术有限公司 | Transformer station inspection robot centralized monitoring system big data cloud analysis method |
| CN109905885A (en) * | 2018-04-12 | 2019-06-18 | 华为技术有限公司 | A method for determining a list of base stations for inspection and inspection device |
| CN109359900A (en) * | 2018-12-13 | 2019-02-19 | 重庆赛科机电技术服务有限公司 | A kind of inspection management platform |
| CN110674900A (en) * | 2019-09-19 | 2020-01-10 | 江苏濠汉信息技术有限公司 | RFID-based method and device for inspecting tower defects by unmanned aerial vehicle |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115775088A (en) * | 2023-02-13 | 2023-03-10 | 成都秦川物联网科技股份有限公司 | Intelligent gas routing inspection plan determination method and Internet of things system |
| US12045837B2 (en) | 2023-02-13 | 2024-07-23 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods for determining smart gas inspection plans and internet of things systems thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111241154B (en) | Storage battery fault early warning method and system based on big data | |
| CN107436951A (en) | Substation inspection job management method, apparatus and system | |
| CN112115927A (en) | Intelligent machine room equipment identification method and system based on deep learning | |
| CN114419556A (en) | Abnormal drainage image identification method and system for drainage pipe network drainage port | |
| CN103235976A (en) | Patrol optimization management platform for 10kV user patrol | |
| CN119829988A (en) | Large-model-based power industry data analysis method, device, equipment and storage medium | |
| CN111651648A (en) | Method and device for intelligent generation of inspection plan for key components of towers | |
| CN115908263A (en) | Road pavement damage intelligent detection system and detection method and storage medium thereof | |
| CN115062178A (en) | Method and device for arranging inspection images of unmanned aerial vehicle equipment and computer equipment | |
| CN118130508B (en) | Method, device and computer equipment for detecting quality of excitation casting busbar | |
| CN118915963A (en) | Automatic storage method and system based on AI algorithm | |
| CN112073681A (en) | A method and system for processing images of overhead power line UAV patrolling, positioning, and shooting images | |
| CN117765375A (en) | Power grid inspection data management method and related device | |
| CN119301427A (en) | Predicting electrical component failure | |
| CN113298292B (en) | Power distribution line power tower inspection management and control method and system based on power Internet of things | |
| CN115617633A (en) | A method for maintaining an ice-covered monitoring terminal and related equipment | |
| CN115689206A (en) | Intelligent monitoring method for transformer substation infrastructure progress based on deep learning | |
| CN115187880A (en) | Communication optical cable defect detection method and system based on image recognition and storage medium | |
| CN118278822B (en) | Working data acquisition method and system based on image data analysis and electronic equipment | |
| CN116630543B (en) | A one-stop processing platform for 3D real scenes based on BS architecture | |
| CN115407115B (en) | Charging data test processing method, device and equipment | |
| CN117539674B (en) | Exception handling method, device, equipment and storage medium | |
| CN117408664A (en) | Intelligent perception test method and system based on spider web structure | |
| CN118964846A (en) | Carbon emission data processing method, device, equipment, and readable storage medium | |
| CN118233623A (en) | High-speed information board fault detection method, device, medium, terminal and system based on monitoring picture |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |