Intelligent maintenance alarm method and system based on road multi-source data integration

Abstract

The invention belongs to the technical field of road maintenance warning. According to the intelligent maintenance warning method and system based on road multi-source data integration, a road maintenance data center is established, static data, dynamic data, structured data and unstructured data of a road are managed in a unified mode, and fusion, analysis and sharing of multi-source data are achieved; maintenance sections corresponding to maintenance ledgers, roads related to positions, patrol data corresponding to the maintenance sections and maintenance tasks corresponding to the patrol data are established, so that automatic distribution of the maintenance tasks of the road detection data is realized; a maintenance task alarm mechanism is established, when the maintenance section needs to be maintained, maintenance personnel can be reminded in real time, and the timeliness and efficiency of maintenance are improved; and the maintenance task automatically generates a maintenance operation list, and the maintenance personnel receives the maintenance operation list and then carries out maintenance, so that scientific prevention, intelligent alarm and refined operation of maintenance management are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of highway maintenance warning technology, and in particular to an intelligent maintenance warning method and system based on the integration of highway multi-source data. Background Art

[0002] In daily operation, highways are easily damaged by factors such as climate, natural aging, traffic accidents, and human damage, resulting in road pavement damage, traffic sign and marking damage, and traffic guardrail damage and loss. If these highway diseases are not promptly and effectively maintained, the highway service level and traffic capacity will decline at best, and traffic accidents, vehicle congestion, and loss of basic road functions will occur at worst. Therefore, the road maintenance department should regularly conduct manual inspections of highway conditions, and record the information found during the inspections (such as cracks, damage, cracks, rutting, potholes, bumps, wave bumps, subsidence, bulges, looseness, potholes, surface damage, joint bulges, lane rerouting, and other highway disease types) in a timely manner on the relevant inspection record sheet, and form an inspection report to provide decision-making information for maintenance management.

[0003] The current common highway maintenance method is to first discover problems through manual inspections, compile statistics on the inspection results, manually fill out and generate maintenance work orders, and then carry out corresponding maintenance construction on the highway according to the contents of the maintenance work order. This approach has the following problems: (1) There is repetitive manual inspection work, which consumes a lot of manpower and material resources, and the inspection efficiency is low and information synchronization is slow; (2) After the manual inspection, the highway disease data needs to be manually filled in on the inspection form, which is time-consuming and labor-intensive and has low accuracy, forming a maintenance work order that needs to be manually assigned. There is often a problem of insufficient manpower leading to a backlog of maintenance task orders; (3) The selection of maintenance materials and maintenance personnel depends on personal experience. The maintenance work order provided by the manual inspection only records the location and type of the disease. The disease data is single and there is no comprehensive consideration of multi-source data. It is impossible to recommend the most suitable maintenance material based on the highway disease situation; (4) It is impossible to calculate the appropriate maintenance operation time based on different maintenance sections, maintenance personnel and maintenance materials, and guide the unified construction of maintenance operations; (5) After the maintenance operation is completed, it is impossible to record detailed information on the maintenance construction, so it is impossible to analyze the operation data through big data and provide a reliable basis for subsequent maintenance construction. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent maintenance alarm method and system based on the integration of multi-source highway data. By storing various types of data in a highway maintenance data center, the fusion and integrated analysis of multi-source data are realized to solve at least one technical problem existing in the above-mentioned background technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides an intelligent maintenance warning method based on the integration of highway multi-source data, comprising the following process: The weight values ​​of different maintenance sections are set according to the number of road sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

[0006] As a further limitation of the first aspect of the present invention, establishing a highway maintenance data center, and generating a maintenance task list according to data in the highway maintenance data center, includes: The highway maintenance data center stores various highway static data, dynamic data, structured data and unstructured data. A multi-source data fusion database is established through the highway maintenance data center, and the number of road sections, traffic volume and highway grade under the maintenance section are determined according to the multi-source data fusion database.

[0007] As a further limitation of the first aspect of the present invention, when the maintenance section jurisdiction area passes through the over-limit monitoring station, if the over-limit alarm device detects an over-limit transport vehicle, a maintenance alarm is issued; if no over-limit transport vehicle is detected, the maintenance task continues to be executed; When the maintenance section passes the bridge structure inspection station, if the bridge structure is damaged, a maintenance alarm will be issued. If no bridge structure damage is detected, the maintenance task will continue to be executed; Maintenance tasks are assigned based on weather forecasts and warnings, and according to the area occupied by different weather types within the maintenance section and the duration of the weather; After the maintenance task alarm is triggered, a maintenance assessment is automatically performed on the maintenance task. If the maintenance task is qualified, the maintenance task continues to be executed; if the maintenance task is unqualified, the maintenance task is sent back and maintenance work is performed again. When the number of times the task is sent back exceeds the threshold, the maintenance task is directly cancelled and the maintenance task is reallocated until all maintenance tasks are completed.

[0008] As a further limitation of the first aspect of the present invention, a maintenance work order is generated through a maintenance alarm, and the content includes operation time, operation mileage section, maintenance equipment, maintenance personnel, precautions and relevant persons in charge; After the maintenance work is completed, the maintenance work order is automatically uploaded through the mobile device; After the maintenance work order is uploaded, the maintenance work acceptance form is automatically generated and sent to the maintenance work site, relevant maintenance workers and highway maintenance department staff; The highway maintenance department uses the maintenance work acceptance form to count the number of maintenance work results and compare it with the actual number of maintenance results. If the difference is within the set range, the maintenance work is completed; if the difference exceeds the set range, the maintenance work is not completed; Maintenance work orders and maintenance work acceptance orders are broadcasted in the highway network through encryption technology; The maintenance work order and maintenance work acceptance form will be automatically cancelled after the maintenance work is completed.

[0009] In a second aspect, the present invention provides an intelligent maintenance warning system based on the integration of multi-source highway data.

[0010] An intelligent maintenance warning system based on the integration of highway multi-source data, comprising: The maintenance section weight value generating unit is configured to: set weight values ​​of different maintenance sections according to the number of road sections under the maintenance section, traffic volume and highway grade; The maintenance task number determination unit is configured to: determine the maintenance task number according to the number of maintenance personnel and units in the maintenance section, and the number and type of maintenance equipment and mechanical equipment; The maintenance task urgency generating unit is configured to: determine the maintenance task urgency according to the type and quantity of the damage on the maintenance section and the change of the traffic volume on the maintenance section; The highway maintenance task value generating unit is configured to: for any maintenance section, take the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks as the highway maintenance task value of the maintenance section; The maintenance alarm unit is configured to sort the highway maintenance task values ​​exceeding the set threshold in order of size, generate a maintenance task list in order from large to small, and issue maintenance alarms based on the maintenance task list and real-time road data.

[0011] As a further limitation of the second aspect of the present invention, establishing a highway maintenance data center, and generating a maintenance task list according to data in the highway maintenance data center, includes: The highway maintenance data center stores various highway static data, dynamic data, structured data and unstructured data. A multi-source data fusion database is established through the highway maintenance data center, and the number of road sections, traffic volume and highway grade under the maintenance section are determined according to the multi-source data fusion database.

[0012] As a further limitation of the second aspect of the present invention, in the maintenance alarm unit, over-limit transport alarm, bridge alarm and special weather alarm are performed; When an over-limit transport alarm is issued, if the over-limit alarm device detects an over-limit transport vehicle when the maintenance section passes through the over-limit monitoring station, a maintenance alarm will be issued; if no over-limit vehicle is detected, the maintenance task will continue to be executed; When the bridge alarm is issued, when the maintenance section passes the bridge structure inspection station, if damage to the bridge structure is detected, a maintenance alarm will be issued; if no damage is detected, the maintenance task will continue to be executed; Special weather warnings are issued through weather forecasts, and maintenance tasks are assigned based on the area occupied by different weather types in the maintenance section and the duration of the weather; After the maintenance task alarm is triggered, a maintenance assessment is automatically performed on the maintenance task. If the maintenance task is qualified, the maintenance task continues to be executed; if the maintenance task is unqualified, the maintenance task is sent back and maintenance work is performed again. When the number of times the task is sent back exceeds the threshold, the maintenance task is directly cancelled and the maintenance task is reallocated until all maintenance tasks are completed.

[0013] In a third aspect, the present invention provides a computer device, comprising: a processor and a computer-readable storage medium; a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the intelligent maintenance alarm method based on the integration of highway multi-source data as described in the first aspect of the present invention is implemented.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor and executing the intelligent maintenance alarm method based on the integration of highway multi-source data as described in the first aspect of the present invention.

[0015] In a fifth aspect, the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the intelligent maintenance alarm method based on the integration of highway multi-source data as described in the first aspect of the present invention.

[0016] Compared with the prior art, the present invention has the following beneficial effects: By storing various types of data in the highway maintenance data center, the fusion and integrated analysis of multi-source data can be realized, effectively solving the information island problem of multi-source data in the highway maintenance department. The maintenance task allocation mechanism automatically allocates maintenance tasks to specific maintenance sections, and through maintenance alarms and automatic generation of maintenance work orders, problems such as information disconnection, low data sharing efficiency, and low execution efficiency can be avoided. By building a data center, scientific data support is provided for maintenance decision support, the real-time accuracy of maintenance operations is guaranteed, and the scientific and orderly management of maintenance work is ensured, effectively improving the efficiency of maintenance operations.

[0017] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0019] Figure 1 This is a flow chart of the intelligent maintenance alarm method based on the integration of highway multi-source data as described in Example 1 of the present invention.

[0020] Figure 2 This is a functional principle block diagram of the intelligent maintenance warning system based on the integration of highway multi-source data described in Example 2 of the present invention.

[0021] Figure 3 This is a functional principle block diagram of the computer device described in Example 3 of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0024] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other. Example 1

[0025] This implementation method proposes an intelligent maintenance warning method based on the integration of multi-source highway data, such as Figure 1 As shown, the following process is included: The weight values ​​of different maintenance sections are set according to the number of sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

[0026] More specifically, the following steps are included: S1: Establish a highway maintenance data center.

[0027] The highway maintenance data center stores various highway static data, dynamic data, structured data and unstructured data, which may include road static data, road dynamic data, maintenance facility data, patrol collection data, disease collection data, field original data, structured data and text resource data.

[0028] This implementation method establishes a multi-source data fusion system (which can also exist in the form of a database) through big data storage and distributed database software, as well as multi-cloud architecture, unified data exchange platform and highway maintenance data center.

[0029] In this implementation, when the entire maintenance alarm system is running, real-time disease identification is performed through patrol collection data and disease collection data, combined with the constructed highway maintenance data center, and serious disease sections are analyzed. Combined with the highway maintenance task allocation mechanism, serious disease sections are automatically allocated to maintenance sections; according to the allocated maintenance sections, diseases are automatically identified and compared with serious disease sections stored in the disease database, and serious disease sections are automatically allocated to the maintenance team for maintenance.

[0030] More specifically, the following contents are included: storing various highway static data, dynamic data, structured data and unstructured data in a highway maintenance data center, the highway maintenance data center including a static information database, a dynamic information database, a structured information database and an unstructured information database; Highway static data is stored in the static information database. The highway static data is collected through static information collection and classification software and uploaded to the static information database for storage; highway dynamic data is stored in the dynamic information database. The highway dynamic information is collected through dynamic information collection and classification software and uploaded to the dynamic information database for storage; structured data is stored in the structured information database. The structured data is collected through structured data collection and classification software and uploaded to the structured information database for storage.

[0031] In this implementation, preferably, the structured data includes highway maintenance management data, road condition monitoring data, highway safety monitoring data, maintenance personnel data, and maintenance machinery and equipment data; highway static data includes road type, highway grade, number of lanes, lane width, structure, traffic composition, road longitudinal section, road plan cross section, and road interchange station data.

[0032] In this implementation, further, the highway dynamic data includes road network traffic status, road condition monitoring data, road safety guardrail status, road signs, markings and roadside facilities.

[0033] In this implementation, further, the unstructured data includes road network vehicle passing data, pedestrian passing data, meteorological equipment, geographic information data exchanged from the geographic information data exchange center, traffic information data exchanged from the traffic data exchange center, and maintenance human resources data exchanged from the resource dispatch center.

[0034] In this implementation, further, the distributed database software uses Mongodb and Cassandra, Mongodb stores highway static data and dynamic data, and Cassandra stores structured data; the data exchange between the unified data exchange platform and the highway maintenance data center uses the http protocol, and the data format uses the XML format.

[0035] In this implementation, further, the static information database includes a road static information database, a road traffic volume database, a running vehicle database, a road cross-section database and a road sign database; the dynamic information database includes a road network traffic status database and a road condition monitoring database.

[0036] In this implementation, further, the structured information database includes a road facility database, a road sign database, a road traffic control data server database, a road cross-section database, a road sign database, a road operation status database, a road maintenance management data server, a road condition monitoring database, a highway safety monitoring data server, a maintenance personnel database, and a maintenance machinery and equipment database.

[0037] In the present implementation, further, the highway maintenance data collection and classification software includes an information collection device, a data classification module and a data storage module; the information collection device in the highway static data collection and classification software includes a GNSS data collector, a video data collector, a radar data collector and a road traffic volume collector, a road sign data collector, a road monitoring facility data collector, and a road traffic station data collector; the highway dynamic data collection and classification software includes an information collection device and a data classification module.

[0038] In this implementation, further, the structured data acquisition and classification software includes a data processing module, a data retrieval module, a data storage module, and a data visualization module; the highway maintenance data exchange platform includes a data format conversion module, a data exchange module, and a multi-cloud exchange platform; the highway maintenance data service end includes a login management module, a user registration module, a security control module, and a GIS service module. The highway maintenance data client includes a map browsing module, an information query module, and a data maintenance module.

[0039] In this implementation, further, the unique identification of the maintenance vehicle includes the vehicle number, driving route, driving location, and driving time.

[0040] In this implementation, highway maintenance data collection and classification standards are formulated according to business needs, and the collected highway maintenance data are sorted according to this standard; then the highway maintenance information is exchanged with the highway maintenance data of the traffic data exchange center, geographic information data exchange center, resource scheduling center and video surveillance center through the data exchange platform; finally, the highway maintenance data and unstructured data exchanged by the traffic data exchange center, geographic information data exchange center, resource scheduling center and video surveillance center are stored in the unstructured information database.

[0041] S2: Establish a mechanism for allocating highway maintenance tasks.

[0042] A highway maintenance task allocation mechanism is established based on multi-source data such as maintenance section static data, road status, vehicle operation routes, etc. The specific highway maintenance task allocation mechanism is: maintenance engineers query the latest operation status of road operation vehicles on the road through the highway maintenance decision-making platform, and then automatically allocate maintenance operation vehicles to the maintenance section based on the operation status and road static data, and display the unique identification of the maintenance operation vehicle at the road entrance, so as to allocate the maintenance operation vehicle to the specific maintenance section maintenance highway.

[0043] More specifically, it includes: setting the weight values of different maintenance sections according to the number of sections under the jurisdiction of the maintenance section, traffic volume, and highway grade; determining the number of maintenance tasks according to the number of maintenance personnel and units in the maintenance section, as well as the quantity and type of maintenance equipment and mechanical equipment; determining the urgency of maintenance tasks according to the types and quantities of diseases on the maintenance section and the change in traffic volume on the maintenance section; for any maintenance section, taking the product of the weight value, the number of maintenance tasks, and the urgency of maintenance tasks of the maintenance section as the highway maintenance task value of the maintenance section, sorting the highway maintenance task values exceeding the set threshold (the set threshold can be set according to human experience) in descending order, and generating a maintenance task warning list in descending order.

[0044] (1) Set the weight values of different maintenance sections according to the number of sections under the jurisdiction of the maintenance section, traffic volume, and highway grade. Specifically, it includes: Assume: N: the number of sections under the jurisdiction of the maintenance section (an integer); V: traffic volume (which can be the daily average traffic volume, unit: vehicles / day); G: highway grade (which can be a numerical value or a grade division, such as 1 representing a low-grade highway and 5 representing a high-grade highway); W: the weight value of the maintenance section (0 < W ≤ 1, and the sum of the weight values of all maintenance sections is 1).

[0045] Since the units and magnitudes of each factor may be different, it is necessary to standardize each factor to make them comparable.

[0046] Standardization of the number of sections: Assume the maximum number of sections is N max , then the standardized number of sections N ′ is: N ′ = N max × N ; Standardization of traffic volume: Assume the maximum traffic volume is V max , then the standardized traffic volume V ′ is: V ′ = V max × V ; Standardization of highway grade: Assume the highest highway grade is G max , the lowest is G min , then the standardized highway grade G ′ is: G ′ = G max − G min × G − G min ; (Note: If the road grade is categorized, such as "low, medium, high", it needs to be converted into numerical values, such as 1, 2, 3, and then standardized).

[0047] Weight value W It can be calculated by the following formula: W = α × N ′+ β × V ′+ γ × G ′ ; in, α , β , γ is the weight coefficient, which indicates the importance of each factor in the comprehensive evaluation. These coefficients need to be set according to the actual situation and meet the α + β + γ =1.

[0048] (2) Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment. Specifically, the number of maintenance tasks includes: Variable definition: P: total number of maintenance personnel in the maintenance section (person); U: number of maintenance units (pieces); E: total number of maintenance equipment and mechanical equipment (units / pieces); T: number of types of maintenance equipment and mechanical equipment (types); M: number of maintenance tasks (pieces); Since different factors may have different importance in determining the number of maintenance tasks, a weight can be assigned to each factor. These weights can be set according to actual conditions.

[0049] w P : The weight of the total number of maintenance personnel; w U : The weight of the number of maintenance units; w E : The weight of the total number of maintenance equipment and mechanical equipment; w T : The weight of the number of maintenance equipment and mechanical equipment types; And satisfy: w P + w U + w E + w T =1.

[0050] In order to eliminate the influence of different factor units and magnitudes, each factor can be standardized, and the standardized value will be between 0 and 1: P′: total number of maintenance personnel after standardization; U ′: number of maintenance units after standardization; E ′: Total number of standardized maintenance equipment and mechanical equipment; T ′: The number of maintenance equipment and mechanical equipment types after standardization; the specific method of standardization can be selected according to the actual situation, such as using maximum-minimum standardization, Z-score standardization, etc.

[0051] The number of maintenance tasks M can be calculated by the following formula: M = w P × P ′+ w U × U ′+ w E × E ′+ w T × T ′; Alternatively, in order to more carefully consider the impact of different types of equipment and machinery on the maintenance task, a task coefficient can be assigned to each type of equipment and machinery, and the formula can be adjusted accordingly: M = w P × P ′+ w U × U ′+ i =1∑ T ( wE i × E i ′); in, wE i It is i The weight of each type of equipment or machinery, E i ' is the i The standardized quantity of a type of equipment or machinery.

[0052] (3) Determine the urgency of the maintenance task based on the type and quantity of damage on the maintenance section and the change in traffic volume on the maintenance section, including: Assumption: D: a set of disease types, where each disease d i There is a corresponding weight w di and quantity n di; S: Traffic volume change rate, which indicates the relative change in traffic volume on the maintenance section and can be expressed as a percentage; E: Maintenance task urgency, which is a value between 0 and 1, indicating the urgency of the maintenance task.

[0053] First, calculate the urgency of each disease e di , which can be achieved by dividing the number of diseases by n di With its weight w di Multiply to get: e di = w di × n di ; Then, add up the urgency of all diseases to get the total urgency of the disease ED: ; Traffic volume change rate S It can be calculated based on historical data or real-time monitoring data. In order to convert it into an urgency value ES , we can use a mapping function f ( S ), which maps the rate of change of traffic volume to a value between 0 and 1. For example, if the traffic volume increases significantly, then ES Should be close to 1; if the traffic volume is basically stable or changes slightly, then ES Should be smaller.

[0054] The total urgency of the disease ED and traffic urgency ES Combined, calculate the comprehensive urgency of maintenance tasks E , which can be achieved by a weighted sum formula: E = λ × ED +(1− λ ) × ES ; in, λ is a weight coefficient used to balance the importance of disease urgency and traffic volume urgency in the calculation of comprehensive urgency. λ The value of can be set according to actual conditions and can usually be obtained through expert scoring, historical data analysis, or questionnaire surveys.

[0055] S3: Intelligent maintenance task alarm.

[0056] The maintenance decision-making platform is used to coordinate the management of maintenance operation time, maintenance data, maintenance machinery and equipment, human resources, etc. The GIS and GPS positioning functions are used to compare the location of maintenance vehicles and the operating status of maintenance equipment with the standard operating status to issue maintenance alarms, and the maintenance alarms are sent to the corresponding operators via SMS, email, SMS and email.

[0057] More specifically, they include: Highway maintenance warnings include overload warnings, bridge warnings, and special weather warnings; When an over-limit transport alarm is issued, if the over-limit alarm device detects an over-limit transport vehicle when the maintenance section passes through the over-limit monitoring station, a maintenance alarm will be issued; if no over-limit vehicle is detected, the maintenance task will continue to be executed; When the bridge alarm is issued, when the maintenance section passes the bridge structure inspection station, if damage to the bridge structure is detected, a maintenance alarm will be issued; if no damage is detected, the maintenance task will continue to be executed; Special weather warnings are issued through weather forecasts, and maintenance tasks are assigned based on the area occupied by different weather types in the maintenance section and the duration of the weather; After the maintenance task alarm is triggered, a maintenance assessment is automatically performed on the maintenance task. If the maintenance task is qualified, the maintenance task continues to be executed; if the maintenance task is unqualified, the maintenance task is sent back and maintenance work is performed again. When the number of times the task is sent back exceeds the threshold, the maintenance task is directly cancelled and the maintenance task is reallocated until all maintenance tasks are completed.

[0058] S4: Automatically generate maintenance work orders.

[0059] The maintenance decision-making platform automatically generates maintenance work orders, and maintenance vehicles perform maintenance work according to the content of the maintenance work order. More specifically, it includes the following processes: Generate maintenance work orders through maintenance alarms, including operation time, operation mileage, maintenance equipment, maintenance personnel, precautions and relevant persons in charge; After the maintenance work is completed, the maintenance work order is automatically uploaded through the mobile device; After the maintenance work order is uploaded, a maintenance work acceptance form is automatically generated and sent to the maintenance work site, relevant maintenance workers and highway maintenance department staff; The highway maintenance department uses the maintenance work acceptance form to count the number of maintenance work results and compare it with the actual number of maintenance results. If the difference is within the set range, the maintenance work is completed; if the difference exceeds the set range, the maintenance work is not completed and on-site confirmation is required to prevent false reporting; Maintenance work orders and maintenance work acceptance orders are broadcasted in the highway network through encryption technology to facilitate highway maintenance work supervision; The maintenance work order and maintenance work acceptance form will be automatically cancelled after the maintenance work is completed.

[0060] In this implementation, the storage of the highway maintenance data center includes: Through patrol data collection and disease data collection, store and process highway static data, dynamic data, structured data and unstructured data; Store daily maintenance records, inspection records, construction records, management systems, and technical achievements, and build a maintenance facility database, inspection data collection results, disease data collection results, and maintenance facility ledgers; Text recognition and image analysis are used to structure unstructured data and store them uniformly in the highway maintenance data center. Multi-source data fusion and integration are achieved through a multi-source data fusion system to provide data support for maintenance decisions. The data generated during the maintenance work, including inspection data, road condition detection data, disease collection data, data sharing data, etc., are aggregated to achieve real-time data collection, cleaning, and structuring.

[0061] In this implementation, the data processing of the highway maintenance data center includes: Perform spatiotemporal encoding on the road network data and construct a data table; Analyze the collection method of maintenance inspection data and conduct different types of analysis, such as text analysis, disease location and area analysis, road condition grade assessment data, road traffic data, maintenance engineering quantity assessment, etc., to form inspection data in multiple formats and store them in the highway maintenance data center; Generate a road maintenance task list through calculation of damage area, damage severity analysis, road traffic information and other data, and store it in the maintenance task storage center; Evaluate the maintenance task analysis results and generate a maintenance work order. Analyze and count the maintenance project volume through the maintenance work order to determine the maintenance task workload. Example 2

[0062] like Figure 2 As shown, this implementation provides an intelligent maintenance warning system based on the integration of highway multi-source data, including: The maintenance section weight value generating unit is configured to: set weight values ​​of different maintenance sections according to the number of road sections under the maintenance section, traffic volume and highway grade; The maintenance task number determination unit is configured to: determine the maintenance task number according to the number of maintenance personnel and units in the maintenance section, and the number and type of maintenance equipment and mechanical equipment; The maintenance task urgency generating unit is configured to: determine the maintenance task urgency according to the type and quantity of the damage on the maintenance section and the change of the traffic volume on the maintenance section; The highway maintenance task value generating unit is configured to: for any maintenance section, take the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks as the highway maintenance task value of the maintenance section; The maintenance alarm unit is configured to sort the highway maintenance task values ​​exceeding the set threshold in order of size, generate a maintenance task list in order from large to small, and issue maintenance alarms based on the maintenance task list and real-time road data.

[0063] The specific working process of each of the above units is described in Example 1 and will not be repeated here.

[0064] It is understandable that the above-mentioned units can be separately or completely combined into one or several other units to constitute, or one (some) of the units can be further divided into multiple smaller units in function to constitute, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present application. The above-mentioned units are divided based on logical functions. In practical applications, the functions of one unit can also be implemented by multiple units, or the functions of multiple units can be implemented by one unit. In other embodiments of the present application, the system may also include other units. In practical applications, these functions can also be implemented with the assistance of other units, and can be implemented by the collaboration of multiple units.

[0065] According to another embodiment of the present application, the system described in this embodiment can be constructed, and the method of Example 1 of the present application can be implemented by running a computer program (including program code) capable of executing the steps involved in the corresponding method described in Example 1 on a general-purpose computing device such as a computer, which includes processing elements and storage elements such as a central processing unit (CPU), random access memory (RAM), and read-only memory (ROM). The computer program can be recorded on, for example, a computer-readable recording medium, and loaded into the above-mentioned computing device through the computer-readable recording medium and run therein. Example 3

[0066] like Figure 3 As shown, the present implementation provides an electronic device, which includes a processor, a communication interface, and a computer-readable storage medium. The processor, the communication interface, and the computer-readable storage medium may be connected via a bus or other means.

[0067] Among them, the communication interface is used to receive and send data, the computer-readable storage medium can be stored in the memory of the electronic device, the computer-readable storage medium is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer-readable storage medium.

[0068] A processor (or CPU (Central Processing Unit)) is the computing core and control core of an electronic device, which is suitable for implementing one or more instructions, and specifically suitable for loading and executing one or more instructions to implement corresponding method flows or corresponding functions.

[0069] The processor is configured to perform the following process: The weight values ​​of different maintenance sections are set according to the number of road sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

[0070] The specific working process is described in Example 1 and will not be repeated here. Example 4

[0071] This implementation provides a computer-readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the electronic device and, of course, extended storage media supported by the electronic device. The computer-readable storage medium provides a storage space that stores the processing system of the electronic device.

[0072] In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor, and these instructions may be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may be a high-speed RAM memory, or a non-volatile memory, such as at least one disk memory; optionally, it may also be at least one computer-readable storage medium located away from the aforementioned processor.

[0073] In a specific embodiment, the computer-readable storage medium stores one or more instructions; the processor loads and executes the one or more instructions stored in the computer-readable storage medium to implement the following process: The weight values ​​of different maintenance sections are set according to the number of sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

[0074] The specific working process is described in Example 1 and will not be repeated here. Example 5

[0075] The present implementation provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs the following process: The weight values ​​of different maintenance sections are set according to the number of sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

[0076] The specific working process is described in Example 1 and will not be repeated here.

[0077] A person skilled in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0078] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data processing device such as a server, a data center, etc. that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent maintenance warning method based on the integration of highway multi-source data, characterized in that: The process includes: The weight values ​​of different maintenance sections are set according to the number of sections under the maintenance section, traffic volume and highway grade; Determine the number of maintenance tasks based on the number of maintenance personnel and units in the maintenance section, as well as the number and type of maintenance equipment and mechanical equipment; Determine the urgency of maintenance tasks based on the types and quantities of damages on the maintenance section and changes in traffic volume on the maintenance section; For any maintenance section, the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks is the highway maintenance task value of the maintenance section; The highway maintenance task values ​​that exceed the set threshold are sorted in order of size, and a maintenance task list is generated in order from large to small. Maintenance alarms are issued based on the maintenance task list and real-time road data.

2. The intelligent maintenance warning method based on the integration of highway multi-source data as claimed in claim 1 is characterized in that: A highway maintenance data center is established, and a maintenance task list is generated based on the data in the highway maintenance data center, including: the highway maintenance data center stores various highway static data, dynamic data, structured data and unstructured data, and a multi-source data fusion database is established through the highway maintenance data center, and the number of road sections, traffic volume and highway grade under the maintenance section are determined based on the multi-source data fusion database.

3. The intelligent maintenance warning method based on highway multi-source data integration as claimed in claim 1 is characterized in that: When the maintenance section passes through the over-limit monitoring station, if the over-limit alarm device detects an over-limit transport vehicle, a maintenance alarm will be issued; if no over-limit vehicle is detected, the maintenance task will continue to be executed; When the maintenance section passes the bridge structure inspection station, if damage to the bridge structure is detected, a maintenance alarm will be issued; if no damage is detected, the maintenance task will continue; Issue special weather warnings and assign maintenance tasks based on the area occupied by different weather types within the maintenance section and the duration of the weather; After the maintenance task alarm, the maintenance task is automatically evaluated. If the maintenance task is qualified, the maintenance task will continue to be executed. If the maintenance task is unqualified, the maintenance task will be sent back and maintenance work will be carried out again. When the number of times it is sent back exceeds the threshold, the maintenance task will be directly cancelled and the maintenance task will be reallocated until all maintenance tasks are completed.

4. The intelligent maintenance warning method based on highway multi-source data integration as claimed in claim 1 is characterized in that: Generate maintenance work orders through maintenance alarms, including operation time, operation mileage, maintenance equipment, maintenance personnel, precautions and relevant persons in charge; After the maintenance work is completed, the maintenance work order is automatically uploaded through the mobile device; After the maintenance work order is uploaded, a maintenance work acceptance form is automatically generated and sent to the maintenance work site, relevant maintenance workers and highway maintenance department staff; The highway maintenance department uses the maintenance work acceptance form to count the number of maintenance work results and compare it with the actual number of maintenance results. If the difference is within the set range, the maintenance work is completed; if the difference exceeds the set range, the maintenance work is not completed and on-site confirmation is required to prevent false reporting; Maintenance work orders and maintenance work acceptance orders are broadcasted in the highway network through encryption technology; The maintenance work order and maintenance work acceptance form will be automatically cancelled after the maintenance work is completed.

5. An intelligent maintenance warning system based on the integration of multi-source highway data, characterized in that: include: The maintenance section weight value generating unit is configured to: set weight values ​​of different maintenance sections according to the number of road sections under the maintenance section, traffic volume and highway grade; The maintenance task number determination unit is configured to: determine the maintenance task number according to the number of maintenance personnel and units in the maintenance section, and the number and type of maintenance equipment and mechanical equipment; The maintenance task urgency generating unit is configured to: determine the maintenance task urgency according to the type and quantity of the damage on the maintenance section and the change of the traffic volume on the maintenance section; The highway maintenance task value generating unit is configured to: for any maintenance section, take the product of the weight value of the maintenance section, the number of maintenance tasks and the urgency of the maintenance tasks as the highway maintenance task value of the maintenance section; The maintenance alarm unit is configured to sort the highway maintenance task values ​​exceeding the set threshold in order of size, generate a maintenance task list in order from large to small, and issue maintenance alarms based on the maintenance task list and real-time road data.

6. The intelligent maintenance warning system based on highway multi-source data integration as claimed in claim 5 is characterized in that: A highway maintenance data center is established, and a maintenance task list is generated based on the data in the highway maintenance data center, including: the highway maintenance data center stores various highway static data, dynamic data, structured data and unstructured data, and a multi-source data fusion database is established through the highway maintenance data center, and the number of road sections, traffic volume and highway grade under the maintenance section are determined based on the multi-source data fusion database.

7. The intelligent maintenance warning system based on highway multi-source data integration as claimed in claim 5 is characterized in that: When the maintenance section passes through the over-limit monitoring station, if the over-limit alarm device detects an over-limit transport vehicle, a maintenance alarm will be issued; if no over-limit vehicle is detected, the maintenance task will continue to be executed; When the maintenance section passes the bridge structure inspection station, if damage to the bridge structure is detected, a maintenance alarm will be issued; if no damage is detected, the maintenance task will continue; Issue special weather warnings and assign maintenance tasks based on the area occupied by different weather types within the maintenance section and the duration of the weather; After the maintenance task alarm, the maintenance task is automatically evaluated. If the maintenance task is qualified, the maintenance task will continue to be executed. If the maintenance task is unqualified, the maintenance task will be sent back and maintenance work will be carried out again. When the number of times it is sent back exceeds the threshold, the maintenance task will be directly cancelled and the maintenance task will be reallocated until all maintenance tasks are completed.

8. The intelligent maintenance warning system based on highway multi-source data integration as claimed in claim 5 is characterized in that: Generate maintenance work orders through maintenance alarms, including operation time, operation mileage, maintenance equipment, maintenance personnel, precautions and relevant persons in charge; After the maintenance work is completed, the maintenance work order is automatically uploaded through the mobile device; After the maintenance work order is uploaded, a maintenance work acceptance form is automatically generated and sent to the maintenance work site, relevant maintenance workers and highway maintenance department staff; The highway maintenance department uses the maintenance work acceptance form to count the number of maintenance work results and compare it with the actual number of maintenance results. If the difference is within the set range, the maintenance work is completed; if the difference exceeds the set range, the maintenance work is not completed and on-site confirmation is required to prevent false reporting; Maintenance work orders and maintenance work acceptance orders are broadcasted in the highway network through encryption technology; The maintenance work order and maintenance work acceptance form will be automatically cancelled after the maintenance work is completed.

9. A computer device, characterized in that: include: A processor and a computer readable storage medium; a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the intelligent maintenance alarm method based on the integration of highway multi-source data as described in any one of claims 1 to 4 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the intelligent maintenance alarm method based on the integration of highway multi-source data as described in any one of claims 1 to 4.

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