Planning method and device for line inspection

Abstract

The invention discloses a planning method and device for line inspection, the method is applied to an intelligent inspection machine, and the method comprises the steps: obtaining environmental factors of a target line, the environmental factors comprising construction information, the construction information comprising construction site information, and the construction site information comprising a construction site and a construction time period; according to the construction information, determining a risk level of a fault of the target line; and formulating an inspection work order of the target line according to the risk level of the fault of the target line and the construction time period, so that an administrator inspects the target line according to the inspection work order. According to the method and the device, the inspection work order corresponding to the fault risk level of the target line can be formulated, so that a line administrator can inspect the target line according to the inspection work order, hidden dangers existing in an optical cable line environment can be found in time, the risk that the optical cable line is damaged is reduced, and the network operation and maintenance management efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of network communication technology, and in particular to a planning method, device and electronic equipment for line inspection. Background Art

[0002] Regular inspections of communication optical cable lines can detect and resolve faults in the optical cable lines.

[0003] Usually, during the inspection of optical cable lines, optical cable inspectors will inspect the communication optical cable lines according to the formulated optical cable inspection plan to realize network operation and maintenance management.

[0004] However, in the prior art, the inspection plan of communication optical cable lines is formulated based on the network level within the optical cable line. However, the inspection plan formulated in this way is often not conducive to timely inspection of communication optical cables with hidden dangers, resulting in delayed discovery of hidden dangers in optical cable lines and low efficiency of network operation and maintenance management. Summary of the invention

[0005] The technical problem to be solved by the present application is to provide a planning method and device for line inspection in view of the above-mentioned deficiencies in the prior art. By using this method, communication optical cables with potential safety hazards can be inspected in a timely manner, and potential safety hazards in the optical cable lines can be discovered in a timely manner. Therefore, the inspection work orders formulated by this planning method can effectively improve the efficiency of network operation and maintenance management.

[0006] In a first aspect, the present application provides a line inspection planning method, which is applied to an intelligent inspection machine, and the method includes:

[0007] Acquire environmental factors of the target route, wherein the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period;

[0008] Determine the risk level of failure of the target line based on the construction information;

[0009] According to the risk level of failure of the target line and the construction time period, an inspection work order for the target line is formulated so that the administrator can inspect the target line according to the inspection work order.

[0010] In some embodiments, the acquiring of the environmental factors of the target line specifically includes:

[0011] Obtain web page information of the bidding website;

[0012] According to the construction keywords, identifying the construction information corresponding to the construction keywords from the web page information of the bidding website;

[0013] According to the construction information, the construction location and construction time period of the target line environment are extracted.

[0014] In some embodiments, extracting the construction location and construction time period of the target line environment according to the construction information specifically includes:

[0015] According to the construction location and construction time period in the construction information, determine whether the construction information appears repeatedly;

[0016] If yes, delete the duplicate construction information of the target line to keep one copy of the construction information of the target line;

[0017] If not, directly obtain the construction information of the target line.

[0018] In some embodiments, the construction keywords include at least two levels of keywords:

[0019] The step of identifying construction information corresponding to the construction keywords from web page information of the bidding website based on the construction keywords includes:

[0020] According to the primary keywords, construction information is identified; the primary keywords include at least one of communication relocation, communication pipeline relocation, communication guidance modification, communication dismantling and modification, communication relocation and modification, communication relocation and modification, weak current relocation, weak current pipeline relocation, weak current guidance modification, weak current dismantling and modification, weak current relocation and modification, weak current relocation and modification, undergrounding of overhead lines, line relocation, line relocation and modification, communication pipeline modification, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunication relocation, pipeline, and pipeline;

[0021] Construction information is identified based on secondary keywords; the secondary keywords include at least one of relocation, pipeline relocation, diversion, demolition, and comprehensive improvement of residential areas.

[0022] In some embodiments, the environmental factors also include weather information from a meteorological website.

[0023] Determining the risk level of a target line failure according to the construction information includes:

[0024] Extracting weather information of the environment where the target route is located from a meteorological website according to meteorological keywords, wherein the meteorological keywords include typhoon, hurricane, rainstorm, snowstorm, and mudslide;

[0025] Determine the risk level of failure of the target line based on construction information and weather information.

[0026] In some embodiments, the construction information also includes construction party information, and the construction site information also includes construction type.

[0027] Determining the risk level of a target line failure based on the construction information and weather information specifically includes:

[0028] Obtain construction party information, construction site information, target line pipeline information and weather information;

[0029] Configure weights for the construction party information, construction site information, pipeline information of the target line, and weather information respectively; among which, the weight of the construction site information is greater than the weight of the weather information, and the weight of the weather information is greater than the weight of the construction party information and the weight of the pipeline information;

[0030] According to the configured weight, the risk level of the target line failure is generated.

[0031] In some implementations, generating the risk level of the target route according to the configured weight includes:

[0032] According to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor, the risk level of the target line is generated.

[0033] The step of generating the risk level of the target route according to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor specifically includes:

[0034] According to the risk indicator conversion relationship corresponding to each environmental factor constructed, determine the construction party risk indicator corresponding to the construction party information, the construction site risk indicator corresponding to the construction site information, the pipeline risk indicator corresponding to the pipeline information, and the weather risk indicator corresponding to the weather information;

[0035] Calculate the product of the construction party risk index and the weight of the construction party information to obtain the construction party risk factor;

[0036] Calculate the product of the construction site risk index and the weight of the construction site information to obtain the construction site risk factor;

[0037] Calculate the product of the pipeline risk index and the weight of the pipeline information to obtain the pipeline risk factor;

[0038] Calculate the product of the meteorological risk index and the weight of weather information to obtain the meteorological risk factor;

[0039] Based on the sum of the construction party risk factor, construction site risk factor, pipeline risk factor and meteorological risk factor, a risk score of the target line is generated to determine the risk level of the target line.

[0040] In some embodiments, the risk level includes high risk and low risk;

[0041] According to the risk level and construction period of the target line, the inspection work order of the target line is formulated, which specifically includes:

[0042] For target lines with high risk levels, an inspection work order is prepared for inspection on the day of the construction period; the inspection work order includes the location of the target line and the inspection time of the target line;

[0043] For target lines with a low risk level, dynamic verification information is generated so that the management personnel of the target lines can formulate inspection work orders based on the dynamic verification information.

[0044] In a second aspect, the present application further provides a line inspection device, which is applied to an intelligent inspection machine, and the device comprises:

[0045] An acquisition module, which is configured to acquire environmental factors of a target route; the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period;

[0046] A determination module, connected to the acquisition module, configured to determine a risk level of a target line failure based on the construction information;

[0047] The planning module is connected to the determination module and is configured to formulate an inspection work order for the target line according to the risk level of failure of the target line and the construction time period, so that the administrator can inspect the target line according to the inspection work order.

[0048] In a third aspect, the present application also provides an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes a line inspection planning method according to any of the above items to obtain an inspection work order for the target line, so that an administrator can inspect the target line according to the inspection work order.

[0049] The line inspection planning method and device provided in the present application can formulate an inspection work order corresponding to the risk level of target line failure by acquiring the environmental factors of the target line and determining the risk level of target line failure. By timely inspecting the communication optical cables with safety hazards, the hidden dangers in the optical cable lines can be discovered in time. Therefore, the inspection work order formulated by the planning method can effectively improve the efficiency of network operation and maintenance management. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0051] Figure 1 A schematic diagram of a process flow of a line inspection planning method provided in an embodiment of the present application;

[0052] Figure 2A flowchart of an application example of a method for planning line inspection provided in an embodiment of the present application;

[0053] Figure 3 A schematic diagram of construction information identified in a line inspection planning method provided in an embodiment of the present application;

[0054] Figure 4 A schematic diagram of construction site information obtained in the line inspection planning method provided in an embodiment of the present application;

[0055] Figure 5 A schematic diagram of dynamic verification information formed in a line inspection planning method provided in an embodiment of the present application;

[0056] Figure 6 A schematic diagram of an inspection work order prepared in the line inspection planning method provided in an embodiment of the present application;

[0057] Figure 7 A schematic diagram of the structure of a line inspection planning device provided in an embodiment of the present application;

[0058] Figure 8 Another structural schematic diagram of a line inspection planning device provided in an embodiment of the present application.

[0059] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0060] In order to enable those skilled in the art to better understand the technical solution of the present application, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments and drawings described herein are only used to explain the present application, rather than to limit the present application.

[0061] It can be understood that, in the absence of conflict, the various embodiments in the present application and the various features in the embodiments can be combined with each other.

[0062] It can be understood that, for the convenience of description, the drawings of the present application only show the parts related to the present application, while the parts unrelated to the present application are not shown in the drawings.

[0063] It can be understood that each unit and module involved in the embodiments of the present application may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple units and modules may be integrated into one physical structure.

[0064] It can be understood that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0065] It is understandable that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present application may occur in an order different from that marked in the drawings.

[0066] It is understood that the flowcharts and block diagrams of the present application illustrate the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present application. Among them, each box in the flowchart or block diagram may represent a unit, module, program segment, code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based system that implements the specified functions, or by a combination of hardware and computer instructions.

[0067] It can be understood that the units and modules involved in the embodiments of the present application can be implemented by software or hardware, for example, the units and modules can be located in a processor.

[0068] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0069] In the related art, the inspection planning of communication optical cable lines is based on the network level within the optical cable line. The optical cable line with a higher network level has a shorter inspection cycle and a higher frequency. However, the inspection plan formulated in this way cannot predict the possible failures of the target line, which is often not conducive to timely inspection of optical cable lines with hidden dangers, resulting in delayed discovery of hidden dangers in optical cable lines and low efficiency of network operation and maintenance management.

[0070] The inventor has discovered through research that by obtaining local construction information of the target route from the bidding website, and obtaining local weather information of the target route from the meteorological station website, when encountering severe weather or construction activities, a line inspection work order that responds to severe weather or construction risks can be formulated, and possible failures of the target line can be predicted, guiding administrators to conduct inspections in a timely manner, reducing hidden dangers of the target line, and thereby improving the efficiency of network operation and maintenance management.

[0071] Based on this, in order to solve the problems in the prior art, the present invention proposes a line inspection planning method to improve the efficiency of network operation and maintenance management.

[0072] Embodiment 1:

[0073] like Figure 1 As shown, the present application provides a line inspection planning method, which is applied to an intelligent inspection machine. The method includes steps S1 to S3:

[0074] Step S1. Acquire environmental factors of a target line, wherein the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period.

[0075] Here, the environmental factors refer to factors that may cause damage to the line, such as construction information of construction activities being carried out around the target line.

[0076] Construction information includes construction site information, which represents the factors that may cause damage to the target line due to construction activities at the target line site. Construction site information includes construction location and construction time period. For example, the distance between the construction site and the target line can be used to represent the possibility of construction activities causing damage to the target line. The construction time period can be used to represent the duration of construction activities to determine the time point and duration of construction activities that may cause damage to the target line.

[0077] In some implementations, the environmental factors may also include weather information characterizing severe weather, for example, weather information about typhoons, hurricanes, rainstorms, snowstorms, mudslides, etc., occurring at the location of the target route.

[0078] During implementation, the construction information of the target line can be obtained through the bidding website, and the weather information of the target line can be obtained through the meteorological station website. Specifically, the information of the bidding website and the meteorological station website can be crawled by a crawler (for example, a program that can be edited by the Python programming language), and the construction location and construction time period of the construction site information, as well as the weather information, can be parsed. In some other implementations, the web page data can also be captured by other programming languages, such as JavaScript, browser extensions, etc.

[0079] In some other implementations, the construction information of the target line can also be obtained through social media industry forums; the construction information can also be obtained by establishing a method for sharing construction information with construction companies, etc., or by subscribing to emails that release construction information.

[0080] Step S2: Determine the risk level of a target line failure based on the construction information.

[0081] It is understandable that the construction information can represent the information of factors that may cause damage to the target line due to construction activities around the target line. The construction information includes construction site information (the construction site information includes the construction location and the construction time period). In some embodiments, the construction information also includes construction party information. For example, the construction party information includes production safety information and construction quality information, wherein the production safety information represents information on whether there are accidents, whether safety regulations are complied with, etc., and the construction quality information represents information on the construction quality of the construction party's past projects.

[0082] The risk level may include high risk and low risk. High risk indicates that the target line has a high probability of failure, and the corresponding target line has a high need for timely inspection; low risk indicates that the target line has a low probability of failure, and the corresponding target line has a low need for timely inspection. In some implementations, the risk level may also be divided into high risk, medium risk, and low risk.

[0083] During implementation, a risk assessment model can be constructed based on the construction location, construction time period, construction party and other information in the construction information, and each suspected risk can be calculated according to the risk assessment model to calculate the risk score. The risk level classification standard is obtained, and according to the risk level classification standard, the risk level corresponding to the risk score of the target line is determined.

[0084] In some implementations, the site can be continuously monitored during the construction process to update information such as the construction location, construction time period, and construction party to improve the accuracy of risk level prediction. Alternatively, actual stories or dangerous cases can be collected as new data for risk assessment model learning to continuously optimize the performance of the risk assessment model.

[0085] In some implementations, the risk level of a target line failure may also be determined based on construction information and weather information.

[0086] Step S3. According to the risk level of the target line failure and the construction time period, an inspection work order for the target line is formulated, so that the administrator can inspect the target line according to the inspection work order.

[0087] Here, the inspection work order includes the location of the target line and the inspection time of the target line. The inspection time of the target line includes the time point of the inspection and the inspection frequency of the target line within a certain period of time.

[0088] During implementation, an inspection work order for the target line can be formulated based on the risk level of failure of the target line and the construction time period. Dynamic verification information can also be generated based on the risk level of failure of the target line and the construction time period, so that the management personnel of the target line can formulate an inspection work order based on the dynamic verification information.

[0089] In this embodiment, by acquiring the environmental factors of the target line and determining the risk level of failure of the target line, an inspection work order that responds to the risk level of failure of the target line can be formulated. By timely inspecting the communication optical cables with safety hazards, the hazards of the optical cable lines can be discovered in time. Therefore, the inspection work order formulated by this planning method can effectively improve the efficiency of network operation and maintenance management.

[0090] In some embodiments, step S1 specifically includes steps S11 to S13:

[0091] Step S11. Obtain web page information of the bidding website.

[0092] Here, a crawler can be used to send an HTTP request to a bidding website in the area where the target line is located to obtain web page information of the bidding website. The number of bidding websites can be one or more.

[0093] In some implementations, the webpage data of the bidding website may be obtained according to a preset frequency. For example, the preset frequency is a frequency dynamically set every day.

[0094] Step S12: Based on the construction keywords, identify the construction information corresponding to the construction keywords from the web page information of the bidding website.

[0095] Here, the construction keywords include at least one of communication relocation, communication pipeline relocation, communication conductor modification, communication dismantling and modification, communication relocation, communication modification, weak current relocation, weak current pipeline relocation, weak current conductor modification, weak current dismantling and modification, weak current relocation, weak current modification, undergrounding of overhead lines, line relocation, line relocation, communication pipeline modification, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunications relocation, pipelines, and pipelines.

[0096] like Figure 3 As shown, based on the keyword "pipeline", a construction information of "xx sewage pump station pressure outlet pipeline construction project" corresponding to the keyword "pipeline" was identified from the bidding website.

[0097] Step S13: Extract the construction location and construction time period of the target line environment according to the construction information.

[0098] Here, after the construction information is identified, the specific webpage of the construction information is entered, the specific webpage information is parsed, and the construction location and construction time period included in the construction information are obtained.

[0099] Combination Figure 3 and Figure 4As shown, after identifying the construction information of "xx sewage pump station pressure outlet pipe construction project", enter the specific web page of the construction information, and obtain the construction location of "xx Road", and the operation time period is from December 8, 2023 to December 12, 2023.

[0100] In this embodiment, by acquiring web page information from the bidding website and identifying construction information, the construction location and construction time period of the target line's environment can be extracted to characterize the possibility that the construction activities of the target line at the construction location will cause damage to the target line, providing support for the subsequent determination of the risk level of failure of the target line.

[0101] In some embodiments, step S13 specifically includes steps S131 to S133:

[0102] Step S131. Determine whether the construction information is repeated based on the construction location and construction time period in the construction information.

[0103] Here, the repeated appearance of the construction information may be the repeated construction information obtained from multiple websites, that is, the construction location and construction time period in the construction information are the same.

[0104] In some other implementations, it is also possible to determine whether the weather information appears repeatedly. For example, if the weather information is repeatedly prompted within 24 hours, the same type of severe weather within 24 hours at the same place on the target route can be shielded.

[0105] During implementation, it is possible to compare a period of time to determine whether the same construction information or the same weather information appears repeatedly. For example, it is possible to determine whether the construction information appears repeatedly within 24 hours.

[0106] Step S132: If yes, delete the duplicate construction information of the target line to keep one copy of the construction information of the target line.

[0107] Step S133. If not, directly obtain the construction information of the target line.

[0108] Here, only one copy of the construction information of the target line is retained, which can be used to formulate a subsequent inspection work order for the target line. In some implementations, the repeated appearance of construction information may also be a duplicate of the construction information update on the same website, so the original construction information of the target line is deleted and only the latest construction information is retained to improve the accuracy of subsequent model predictions.

[0109] In this embodiment, by determining whether the construction information is repeated and deleting the repeated construction information of the target line when the construction information is repeated, it is possible to reduce repeated preparation of inspection work orders for inspection.

[0110] In some embodiments, the construction keywords include at least two levels of keywords:

[0111] Step S12 specifically includes steps S121 to S122:

[0112] Step S121. Identify construction information based on the first-level keywords; the first-level keywords include at least one of communication relocation, communication pipeline relocation, communication conduction modification, communication dismantling and modification, communication relocation and modification, communication modification and relocation, weak current relocation, weak current pipeline relocation, weak current conduction modification, weak current dismantling and modification, weak current relocation and modification, weak current relocation, undergrounding of overhead lines, line relocation, line relocation and modification, communication pipeline modification, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunications relocation, pipeline, and pipeline.

[0113] Step S122. Identify construction information based on secondary keywords; the secondary keywords include at least one of relocation, pipeline relocation, diversion, demolition, and comprehensive improvement of residential areas.

[0114] In some implementations, third-level keywords and / or fourth-level keywords may also be set, and construction information may be identified based on the third-level keywords and / or fourth-level keywords. For example, the third-level keywords include one of: subway, highway, engineering civil construction, and highway construction; and / or the fourth-level keywords include one of: primary land development and beautiful countryside.

[0115] In this embodiment, by setting multi-level keywords, the search scope is increased to obtain more effective construction information, improve the accuracy of risk level assessment, and provide support for formulating more efficient inspection work orders.

[0116] In some embodiments, the environmental factors also include weather information from a meteorological website.

[0117] Step S2, including step S21 to step S22:

[0118] Step S21. Extract weather information of the target route's environment from a meteorological website based on meteorological keywords, wherein the meteorological keywords include typhoon, hurricane, rainstorm, snowstorm, and mudslide.

[0119] Here, the information on the weather station website can be crawled by a crawler to parse out the weather information representing the severe weather. It can be understood that the severe weather is the weather information that may cause damage to the target route.

[0120] Step S22: Determine the risk level of a target line failure based on the construction information and weather information.

[0121] During implementation, construction information and weather information can be obtained separately, and risk indicators can be converted for construction information and weather information, and weights corresponding to each construction information and weather information can be configured. Then, the risk indicator of the construction information is multiplied by its weight, and the risk indicator of the weather information is multiplied by its weight, and the two are summed to obtain the risk score of the target line failure. Then, according to the risk level classification standard (for example, a risk score greater than the risk threshold is high risk, and less than or equal to the risk threshold is low risk. The risk threshold can be determined based on experience, for example, the risk threshold value range can be 10-90, for example, 50), determine the risk level of the target line failure (for example, if the risk score of the target line is 65, then the risk level of the target line is determined to be high risk).

[0122] In this embodiment, by extracting weather information and determining the risk level of failure of the target line, factors that may cause damage to the target line due to severe weather and construction activities can be formulated, and inspection work orders can be generated to efficiently guide management personnel to inspect and monitor the target line.

[0123] In some embodiments, the construction information also includes construction party information, and the construction site information also includes construction type.

[0124] Step S22 specifically includes steps S221 to S223:

[0125] Step S221. Obtain construction party information, construction site information, pipeline information of the target line and weather information;

[0126] Step S222. weights are respectively configured for the construction party information, the construction site information, the pipeline information of the target line and the weather information; wherein the weight of the construction site information is greater than the weight of the weather information, and the weight of the weather information is greater than the weight of the construction party information and the weight of the pipeline information;

[0127] Step S223: Generate the risk level of target line failure according to the configured weight.

[0128] Here, the weight of the construction site information is greater than the weight of the weather information, and the weight of the weather information is greater than the weight of the construction party information and the weight of the pipeline information. It can be understood that the distance between the construction site and the pipeline and the construction time in the construction site are important bases for risk assessment, and weather information is a secondary basis for wind direction assessment. Referring to Table 1, the risk indicator types include construction party information, construction site information, pipeline information of the target line, and weather information, and their corresponding weights are: 0.2, 0.35, 0.2, and 0.2, respectively.

[0129] Table 1 Risk indicators

[0130]

[0131]

[0132] During implementation, the obtained environmental factors can be converted into corresponding risk indicators, and each risk indicator can be multiplied with the corresponding weight to obtain the risk factor of each risk indicator. Then, the risk factors can be summed up to get the risk score, and then the risk level of the target line can be determined.

[0133] In this embodiment, by acquiring various environmental factors and configuring the weight of each environmental factor, the risk level of failure of the target line for factors such as construction information and weather information can be generated to provide support for the subsequent formulation of more efficient inspection work orders.

[0134] In some embodiments, step S223 includes generating a risk level of the target route according to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor.

[0135] According to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor, the risk level of the target route is generated, which specifically includes steps S2231 to S2236:

[0136] Step S2231. According to the risk index conversion relationship corresponding to each environmental factor, determine the construction party risk index corresponding to the construction party information, the construction site risk index corresponding to the construction site information, the pipeline risk index corresponding to the pipeline information, and the weather risk index corresponding to the weather information;

[0137] Step S2232. Calculate the product of the construction party risk index and the weight of the construction party information to obtain the construction party risk factor;

[0138] Step S2233. Calculate the product of the construction site risk index and the weight of the construction site information to obtain the construction site risk factor;

[0139] Step S2234. Calculate the product of the pipeline risk index and the weight of the pipeline information to obtain the pipeline risk factor;

[0140] Step S2235. Calculate the product of the meteorological risk index and the weight of the weather information to obtain the meteorological risk factor

[0141] Step S2236. Generate a risk score for the target line based on the sum of the construction party risk factor, the construction site risk factor, the pipeline risk factor and the meteorological risk factor to determine the risk level of the target line.

[0142] Here, the relationship between each environmental factor parameter and the risk index can be pre-constructed, and each risk index can be determined according to the obtained environmental factor parameters. Then, the corresponding risk factor can be obtained according to the relationship between each risk index and the corresponding weight.

[0143] Specifically, the risk index of the construction party includes a production safety index and a construction quality index. The production safety index can be determined based on whether there were accidents in the construction party's past projects and whether the safety regulations were complied with. For example, the construction party is divided into four ranges for whether there were accidents and whether the safety regulations were complied with, and a corresponding production safety index is set for each range. For example, if the construction party has no accidents and complies with safety regulations, the production safety index is 0. The construction quality index can be determined based on the construction quality score. There is a negative correlation between the past construction quality score and the construction quality information. For example, the sum of the past construction quality score and the construction quality information is a first fixed value (for example, 100). For example, if the past construction quality score is 80, the corresponding construction quality index is 20. Referring to the weight configuration in Table 1, the risk factor of the construction party (the case where the construction party has no accidents, complies with safety regulations, and the past construction quality score is 80) is calculated to be 1.

[0144] The construction site risk index includes the construction site index, the construction type index and the construction duration index. Among them, the construction site index can be determined according to the distance between the construction site and the pipeline. The distance between the construction site and the pipeline is negatively correlated with the construction site index, that is, the closer the distance between the construction site and the pipeline, the larger the construction site index. For example, the constructed construction site index is the ratio between the second fixed value (for example, 500) and the distance. For example, if the closest distance between the construction site and the pipeline is 25 meters, the corresponding construction site index is 20. The construction type index can set corresponding fixed values ​​for excavation, hoisting, and pavement paving (for example, 10, 5, and 5, respectively). For example, when the construction type is excavation, the corresponding construction type index is 10. The construction duration index is positively correlated with the construction duration. For example, the constructed construction duration index is the ratio of the construction duration to the third fixed value (for example, 4); for example, if the construction duration is 48 hours, the corresponding construction duration index is 12. Referring to the weight configuration in Table 1, the risk factor of the construction site (the closest distance between the construction site and the pipeline is 25 meters, the construction type is excavation, and the construction time is 48 hours) is calculated to be 5.6.

[0145] Pipeline risk indicators include service life indicators, pipeline laying method indicators and depth indicators. Among them, the service life indicator is positively correlated with the years of use of the pipeline. For example, the constructed service life indicator is the product of the years of use and the fourth fixed value (for example, 2). For example, if the years of use are 10 years, the service life indicator is 20. The pipeline laying method indicator can set corresponding fixed values ​​for concrete pipes, plastic pipes, metal pipes, and asbestos cement pipes (for example, 2, 10, 3, and 8, respectively). For example, if the pipeline laying method is plastic pipe, the pipeline laying method indicator is 10. The depth indicator is negatively correlated with the depth value. For example, the constructed depth indicator is the ratio of the fifth fixed value (for example, 50) to the depth value. When the depth value is 10 meters, the corresponding depth index is 5. Referring to the weight configuration in Table 1, the risk factor of the pipeline information (the years of use are 10 years, plastic pipes, and the depth value is 10 meters) is calculated to be 2.25.

[0146] Weather risk indicators include temperature indicators, precipitation indicators, wind indicators and special weather indicators. Among them, the temperature indicator can be divided into three corresponding temperature indicator values ​​according to the temperature range of extreme cold (less than the extreme cold temperature threshold, for example, the extreme cold temperature threshold is 40 degrees Celsius), normal, and extreme heat (greater than the extreme heat temperature threshold, for example, the extreme heat temperature threshold is 40 degrees Celsius). For example, the temperature indicators corresponding to extreme cold, normal, and extreme heat are 30, 0, and 30. The precipitation indicator can be divided into three corresponding precipitation indicators according to drought (annual precipitation is less than 200 mm), moderate, and flood (precipitation exceeds 100 mm within 24 hours). For example, the precipitation indicators corresponding to drought, moderate, and flood are 30, 0, and 30 respectively. The wind indicator is positively correlated with the typhoon level. For example, the constructed wind indicator is the product of the typhoon level and the sixth fixed value (for example, 4). Special weather indicators can configure fixed values ​​for sandstorms and acid rain (for example, 15 and 20, respectively). For example, when the temperature is within the normal range, there is a flood situation, the typhoon level is 10, and there are no other special weather conditions, referring to the weight configuration in Table 1, the risk factor of weather information is calculated to be 3.5.

[0147] Based on the above example, the risk score determined is 12.35. For example, if the risk threshold is set to 10, the risk level of the target line is determined to be high risk.

[0148] In this embodiment, the risk score of the target route is determined by transforming each risk indicator, calculating each risk factor, and summing each risk factor, and then the risk level of the target route is generated according to the risk score.

[0149] In some embodiments, the risk level includes high risk and low risk;

[0150] Step S4 specifically includes steps S41 to S42:

[0151] Step S41. For a target line with a high risk level, an inspection work order is prepared for inspection on the day of the construction period; the inspection work order includes the location of the target line and the inspection time of the target line.

[0152] In some implementations, for high-risk target lines, the occurrence range of high-risk concentration in the target lines can be further determined to determine the key areas to be inspected in the inspection work order.

[0153] like Figure 6 As shown in the figure, the inspection work order generated for the high-risk target line includes the nature of the inspection as daily, the selection of inspection personnel, and the inspection points of the target line (499 resource points), and further determines the scope of occurrence of medium and high risks in the target line (90 key points)

[0154] Step S42: For the target line with a low risk level, dynamic verification information is generated so that the management personnel of the target line can formulate an inspection work order according to the dynamic verification information.

[0155] like Figure 5 As shown, when the target line is low risk, the acquired construction information will generate three dynamic verification information. Each dynamic verification information includes the construction risk code and construction name, project time (construction time period), collection keywords and collection time. The management personnel will verify the dynamic verification information to determine the authenticity of the risk and whether it is possible to formulate an inspection plan for the target line. The safety patrol personnel will focus on the target line.

[0156] In this embodiment, by formulating inspection work orders for inspections conducted on the day of the construction period and generating dynamic verification information, different inspection work orders can be set for target lines with different risk levels, thereby improving the efficiency of inspection work order preparation, and effectively inspecting and monitoring possible destructive factors on the target lines, thereby improving the efficiency of network operation and maintenance management.

[0157] Embodiment 2:

[0158] The specific implementation process of the above method is described below in conjunction with specific application examples. The current optical cable inspection method and system have the following shortcomings in daily use:

[0159] 1. The selection of optical cable objects that need to be inspected is completely dependent on manual labor. The amount of data in the underlying optical cables of the entire communication network is huge, and the cost of manual operation is high.

[0160] 2. Line sections with severe weather or construction risks are not discovered in time, accurate inspections cannot be carried out, and targeted measures cannot be taken proactively.

[0161] 3. The inspection cycle is rigid, the inspection task content lacks specificity, the inspection effect cannot be effectively verified, and the authenticity and integrity of the inspection cannot be controlled, resulting in high inspection management costs.

[0162] In response to the above problems, Figure 2 As shown, this embodiment adopts the following method:

[0163] Step 1: Risk collection to screen preliminary risk data

[0164] The prerequisite for intelligent planning and inspection is to obtain line-related information required for big data analysis to establish a risk model. The line risks (environmental factors) analyzed in this embodiment include: bad weather and construction conditions.

[0165] Through the collection system, the following information is dynamically crawled from the bidding and tendering websites and the meteorological station website every day: construction information and weather information.

[0166] First, filter by keywords to form a risk list data after initial judgment, such as:

[0167] Does the construction information on the bidding website contain the following keywords:

[0168] First-level keywords include: communication relocation, communication pipeline relocation, communication conductor modification, communication dismantling and modification, communication relocation, communication relocation, weak current relocation, weak current pipeline relocation, weak current conductor modification, weak current dismantling and modification, weak current relocation, weak current relocation, overhead line undergrounding, line relocation, line relocation, communication pipeline transformation, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunications relocation, pipeline, pipeline;

[0169] Secondary keywords include: relocation, pipeline relocation, diversion, demolition, comprehensive renovation of residential areas, back streets and alleys;

[0170] The third-level keywords include: subway, highway, engineering civil construction, highway construction;

[0171] The fourth-level keywords include: primary land development, beautiful countryside;

[0172] Does the weather station's website include the following keywords: typhoon, hurricane, heavy rain, blizzard, mudslide, etc.

[0173] like Figure 3 As shown, the process of obtaining construction information can be: according to the first-level keyword "pipeline", a construction information of "xx sewage pump station pressure outlet pipeline construction project" can be filtered out on the bidding website.

[0174] It should also be noted that the crawling method for construction information and weather information can quickly obtain the required information through Python. The basic principle of the crawler is to simulate the browser to send HTTP requests, obtain data on the web page, and process and store it. This process can be divided into the following steps:

[0175] 1. Send HTTP request

[0176] First, use the requests library in Python to send an HTTP request to the target website. The requests library can send GET or POST requests to obtain data on the web page.

[0177] 2. Parsing web pages

[0178] After obtaining the web page data, use the BeautifulSoup library in Python to parse the web page. The BeautifulSoup library can quickly obtain various information on the web page, such as titles, links, pictures, etc.

[0179] 3. Storing Data

[0180] Finally, the acquired data is stored in the local database.

[0181] Step 2: Risk data cleaning & feature extraction

[0182] 1. Establish a rule base for data cleaning, remove duplicate and useless risk data, and reduce repeated inspections.

[0183] For example, there may be bidding and winning bid announcements in construction, and the same type of information may appear multiple times in the same location; or, bad weather may be repeatedly prompted within 24 hours. The same type of bad weather in the same place within 24 hours can be blocked.

[0184] 2. Feature extraction: Extract construction-related features from the cleaned data, such as construction location, construction type (such as excavation, piling, etc.), construction time, etc.

[0185] like Figure 4 As shown, the construction location obtained is "xx Road" and the operation time period is from December 8, 2023 to December 12, 2023.

[0186] Step 3: Risk assessment model construction

[0187] The indicators in the risk assessment model can be classified by construction party, project site, communication line pipeline, etc. The evaluation indicators and weight score suggestions are shown in Table 1 in the above embodiment 1.

[0188] Through the above risk assessment model, each suspected risk is calculated to calculate the risk score.

[0189] In some embodiments, continuous monitoring and optimization of the model is also included:

[0190] 1. Continuously monitor the site conditions during the construction process and use the newly acquired data to update the AI ​​model to improve the accuracy of the prediction.

[0191] 2. Collect actual accident or dangerous situation cases as new data for model learning and continuously optimize the performance of the model.

[0192] Step 4: Automatically dispatch risk tickets

[0193] Scores are automatically calculated based on the risk assessment model and can be divided into three labels: "high risk", "medium risk" and "low risk". For risk items with high risk labels, inspection work orders are automatically issued and inspection and care must be carried out on the same day; for medium and low risks, risk confirmation work orders are issued to the city line administrators to manually verify whether the risk is real; whether to issue inspection plans within the specified range and arrange line patrol officers to focus on prevention.

[0194] Step 5: Generate inspection plan and work order (inspection work order)

[0195] There are two types of inspection work orders generated:

[0196] 1. High-risk projects require inspection and care work orders to be carried out on the same day.

[0197] 2. The local line administrator creates a dynamic inspection task work order.

[0198] The generation of inspection tasks requires three key parameters: the inspection cycle (frequency), the inspection point (specific location or area of ​​inspection), and the inspection personnel.

[0199] For example, based on the construction site obtained in the second step as Gaoke 4th Road, the pipeline segment near Gaoke 4th Road in the network resource management system can be automatically obtained through the program, or it can be manually selected by the line administrator.

[0200] like Figure 6 As shown, the inspection work order generated for the high-risk target line includes the nature of the inspection as daily, the selection of inspection personnel, and the inspection points of the target line (499 resource points), and further determines the scope of occurrence of high-risk in the target line (90 key points).

[0201] In this embodiment, local construction information and local weather are automatically crawled through the national bidding website and the meteorological station website, and existing risks are identified based on the big data AI model library. According to the risk level, it is decided to automatically create an inspection and care work order or distribute the risk work order to the city / district / county line administrator. The line administrator confirms whether it is necessary to flexibly create a new line inspection work order (inspection time + inspection scope), generates inspection plans and inspection objects as needed, promotes network operation and maintenance management, and achieves cost reduction and efficiency improvement.

[0202] Embodiment 3:

[0203] like Figure 7 As shown, the present application provides a line inspection device, which is applied to an intelligent inspection machine. The device 100 includes:

[0204] An acquisition module 11 is configured to acquire environmental factors of a target route; the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period;

[0205] A determination module 12, connected to the acquisition module, is configured to determine the risk level of a target line failure based on the construction information;

[0206] The planning module 13 is connected to the determination module and is configured to formulate an inspection work order for the target line according to the risk level of failure of the target line and the construction time period, so that the administrator can inspect the target line according to the inspection work order.

[0207] In some embodiments, the acquisition module 11 includes:

[0208] A first acquisition unit, which is configured to acquire web page information of a bidding website;

[0209] an identification unit connected to the acquisition unit, and configured to identify construction information corresponding to the construction keyword from web page information of the bidding website according to the construction keyword;

[0210] The extraction unit is connected to the identification unit and is configured to extract the construction location and construction time period of the environment where the target line is located according to the construction information.

[0211] In some embodiments, the extraction unit is further used to determine whether the construction information appears repeatedly based on the construction location and construction time period in the construction information;

[0212] If yes, delete the duplicate construction information of the target line to keep one copy of the construction information of the target line;

[0213] If not, directly obtain the construction information of the target line.

[0214] In some embodiments, the construction keywords include at least two levels of keywords:

[0215] The identification unit is further used to identify the construction information according to the primary keywords; the primary keywords include at least one of communication relocation, communication pipeline relocation, communication guidance modification, communication dismantling and modification, communication relocation and modification, communication relocation and modification, weak current relocation, weak current pipeline relocation, weak current guidance modification, weak current dismantling and modification, weak current relocation and modification, weak current relocation and modification, overhead line undergrounding, line relocation, line relocation and modification, communication pipeline modification, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunication relocation, pipeline, and pipeline;

[0216] Construction information is identified based on secondary keywords; the secondary keywords include at least one of relocation, pipeline relocation, diversion, demolition, and comprehensive improvement of residential areas.

[0217] In some embodiments, the environmental factors also include weather information from a meteorological website.

[0218] The determination module 12 is further used to extract weather information of the environment where the target route is located from a meteorological website according to meteorological keywords, wherein the meteorological keywords include one of typhoon, hurricane, rainstorm, snowstorm and mudslide;

[0219] Determine the risk level of failure of the target line based on construction information and weather information.

[0220] In some embodiments, the construction information also includes construction party information, and the construction site information also includes construction type.

[0221] The determination module 12 comprises:

[0222] A second acquisition unit is configured to acquire construction party information, construction site information, pipeline information of a target line, and weather information;

[0223] A configuration unit is configured to respectively configure weights for the construction party information, the construction site information, the pipeline information of the target line, and the weather information; wherein the weight of the construction site information is greater than the weight of the construction party information and the weight of the pipeline information;

[0224] The generating unit is connected to the second acquiring unit and the configuring unit respectively, and is configured to generate a risk level of a target line failure according to the configured weight.

[0225] In some embodiments, the generating unit comprises:

[0226] A determination unit is configured to determine, based on a risk indicator conversion relationship corresponding to each environmental factor, a construction party risk indicator corresponding to the construction party information, a construction site risk indicator corresponding to the construction site information, a pipeline risk indicator corresponding to the pipeline information, and a weather risk indicator corresponding to the weather information;

[0227] A first calculation unit is connected to the determination unit and is configured to calculate the product of the construction party risk index and the weight of the construction party information to obtain the construction party risk factor;

[0228] A second calculation unit is connected to the determination unit and is configured to calculate the product of the construction site risk index and the weight of the construction site information to obtain a construction site risk factor;

[0229] A third calculation unit is connected to the determination unit and is configured to calculate the product of the pipeline risk index and the weight of the pipeline information to obtain a pipeline risk factor;

[0230] A fourth calculation unit, connected to the determination unit, is configured to calculate the product of the meteorological risk index and the weight of the weather information to obtain a meteorological risk factor;

[0231] The summing unit is connected to the first calculation unit, the second calculation unit, the third calculation unit and the fourth calculation unit respectively, and is configured to generate a risk score of the target line based on the sum of the construction party risk factor, the construction site risk factor, the pipeline risk factor and the meteorological risk factor to determine the risk level of the target line.

[0232] In some embodiments, the risk level includes high risk and low risk;

[0233] The designated module is also used to formulate an inspection work order for the target line with a high risk level on the day of the construction period for inspection; the inspection work order includes the location of the target line and the inspection time of the target line;

[0234] For target lines with a low risk level, dynamic verification information is generated so that the management personnel of the target lines can formulate inspection work orders based on the dynamic verification information.

[0235] The line inspection planning method and device provided in the present application facilitate timely discovery of hidden dangers in the optical cable line environment, reduce the risk of damage to the optical cable line, and improve network operation and maintenance management efficiency by acquiring the environmental factors of the target line, determining the risk level of failure of the target line, and formulating an inspection work order for the target line.

[0236] It should be noted that this embodiment is a corresponding device of the line inspection planning method in the above-mentioned embodiment 1. The method in embodiment 1 can be implemented by using this device. The specific implementation method can refer to the description in the above-mentioned embodiment 1, and this embodiment will not be repeated here.

[0237] Figure 8 Another structural diagram of a line inspection planning device provided by the present application is as follows: Figure 8 As shown, the present application provides a line inspection planning device, including a memory 41 and a processor 42, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the line inspection planning method in the above-mentioned embodiments of the present application.

[0238] The memory is connected to the processor, the memory may be a flash memory or a read-only memory or other memory, and the processor may be a central processing unit or a single-chip microcomputer.

[0239] In some embodiments, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the line inspection planning method in the above-mentioned embodiments of the present application is implemented.

[0240] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0241] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present application, but the present application is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of the present application, and these modifications and improvements are also considered to be within the scope of protection of the present application.

Claims

1. A line inspection planning method, applied to an intelligent inspection machine, characterized in that: The method comprises: Acquire environmental factors of the target route, wherein the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period; Determine the risk level of failure of the target line based on the construction information; According to the risk level of failure of the target line and the construction time period, an inspection work order for the target line is formulated so that the administrator can inspect the target line according to the inspection work order.

2. The line inspection planning method according to claim 1, characterized in that: The environmental factors of the target line are obtained, specifically including: Obtain web page information of the bidding website; According to the construction keywords, identifying the construction information corresponding to the construction keywords from the web page information of the bidding website; According to the construction information, the construction location and construction time period of the target line environment are extracted.

3. The line inspection planning method according to claim 2, characterized in that: The extracting of the construction location and construction time period of the target line environment according to the construction information specifically includes: According to the construction location and construction time period in the construction information, determine whether the construction information appears repeatedly; If yes, delete the duplicate construction information of the target line to keep one copy of the construction information of the target line; If not, directly obtain the construction information of the target line.

4. The line inspection planning method according to claim 2, characterized in that: Construction keywords include at least two levels of keywords. The step of identifying construction information corresponding to the construction keywords from web page information of the bidding website based on the construction keywords includes: According to the primary keywords, construction information is identified; the primary keywords include at least one of communication relocation, communication pipeline relocation, communication guidance modification, communication dismantling and modification, communication relocation and modification, communication relocation and modification, weak current relocation, weak current pipeline relocation, weak current guidance modification, weak current dismantling and modification, weak current relocation and modification, weak current relocation and modification, undergrounding of overhead lines, line relocation, line relocation and modification, communication pipeline modification, overhead undergrounding, communication optical cable relocation, communication relocation, weak current relocation, communication relocation, telecommunication relocation, pipeline, and pipeline; According to the secondary keywords, construction information is identified; the secondary keywords include one of relocation, pipeline relocation, diversion, demolition and comprehensive improvement of residential areas.

5. The line inspection planning method according to claim 4, characterized in that: The environmental factors also include weather information from meteorological websites. Determining the risk level of a target line failure according to the construction information includes: Extracting weather information of the environment where the target route is located from a meteorological website according to meteorological keywords, wherein the meteorological keywords include typhoon, hurricane, rainstorm, snowstorm, and mudslide; Determine the risk level of failure of the target line based on construction information and weather information.

6. The line inspection planning method according to claim 5, characterized in that: The construction information also includes construction party information, and the construction site information also includes construction type. Determining the risk level of a target line failure based on the construction information and weather information specifically includes: Obtain construction party information, construction site information, target line pipeline information and weather information; Configure weights for the construction party information, construction site information, pipeline information of the target line, and weather information respectively; among which, the weight of the construction site information is greater than the weight of the weather information, and the weight of the weather information is greater than the weight of the construction party information and the weight of the pipeline information; According to the configured weight, the risk level of the target line failure is generated.

7. The line inspection planning method according to claim 6, characterized in that: Generating the risk level of the target line according to the configured weight includes: According to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor, the risk level of the target line is generated. The step of generating the risk level of the target route according to the risk index corresponding to each environmental factor and the weight corresponding to each environmental factor specifically includes: According to the risk indicator conversion relationship corresponding to each environmental factor constructed, determine the construction party risk indicator corresponding to the construction party information, the construction site risk indicator corresponding to the construction site information, the pipeline risk indicator corresponding to the pipeline information, and the weather risk indicator corresponding to the weather information; Calculate the product of the construction party risk index and the weight of the construction party information to obtain the construction party risk factor; Calculate the product of the construction site risk index and the weight of the construction site information to obtain the construction site risk factor; Calculate the product of the pipeline risk index and the weight of the pipeline information to obtain the pipeline risk factor; Calculate the product of the meteorological risk index and the weight of weather information to obtain the meteorological risk factor; Based on the sum of the construction party risk factor, construction site risk factor, pipeline risk factor and meteorological risk factor, a risk score of the target line is generated to determine the risk level of the target line.

8. The line inspection planning method according to any one of claims 1 to 7, characterized in that: The risk levels include high risk and low risk; According to the risk level and construction period of the target line, the inspection work order of the target line is formulated, which specifically includes: For target lines with high risk levels, an inspection work order is prepared for inspection on the day of the construction period; the inspection work order includes the location of the target line and the inspection time of the target line; For target lines with a low risk level, dynamic verification information is generated so that the management personnel of the target lines can formulate inspection work orders based on the dynamic verification information.

9. A planning device for line inspection, applied to an intelligent inspection machine, characterized in that: The device comprises: An acquisition module, which is configured to acquire environmental factors of a target route; the environmental factors include construction information, the construction information includes construction site information, and the construction site information includes a construction location and a construction time period; A determination module, connected to the acquisition module, configured to determine a risk level of a target line failure based on the construction information; The planning module is connected to the determination module and is configured to formulate an inspection work order for the target line according to the risk level of failure of the target line and the construction time period, so that the administrator can inspect the target line according to the inspection work order.

10. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the line inspection planning method according to any one of claims 1 to 8, obtains an inspection work order for the target line, so that an administrator inspects the target line according to the inspection work order.

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