CN112396196A - System for realizing intelligent operation and maintenance management aiming at intelligent traffic system - Google Patents
System for realizing intelligent operation and maintenance management aiming at intelligent traffic system Download PDFInfo
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Abstract
The invention relates to a system for realizing intelligent operation and maintenance management aiming at an intelligent traffic system, wherein the system comprises an operation and maintenance management platform and a mobile operation and maintenance application APP, the operation and maintenance management platform comprises a first login module, an asset management module, a data storage module, a data acquisition module, an automatic inspection module, a fault alarm module, a maintenance management module, a performance assessment module and an authority management module, and the mobile operation and maintenance application APP comprises a second login module, a maintenance task query module, a maintenance task processing module and a map navigation module. By adopting the system, the maintenance task is directly pushed to the mobile operation and maintenance application APP through the operation and maintenance management platform, the time for finding and repairing the fault is shortened through an electronic process, the uninterrupted automatic inspection of the intelligent traffic system for 7 x 24 hours is realized, and meanwhile, the operation and maintenance management personnel can monitor the operation state and the fault maintenance condition of the system in real time, so that the normal and stable operation of the intelligent traffic system is ensured.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to the technical field of operation and maintenance of an intelligent traffic system, and specifically relates to a system for realizing intelligent operation and maintenance management aiming at the intelligent traffic system.
Background
Along with the increase of urban population and the continuous increase of motor vehicle reserves, urban roads are more and more crowded, in order to improve the managerial ability to urban roads, intelligent transportation system construction strength has all been increased in all places, along with the deepening of construction intelligent transportation system scale is bigger and bigger, hardware equipment is also more and more, in order to ensure that various equipment can normal operating, just need carry out the operation maintenance to equipment, traditional operation and maintenance is the mode of manual operation, have the trouble discovery untimely, efficient scheduling problem.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a system for realizing intelligent operation and maintenance management aiming at an intelligent traffic system, wherein the system is timely and efficient in fault maintenance.
In order to achieve the above purpose, the system for realizing intelligent operation and maintenance management aiming at the intelligent transportation system of the invention is as follows:
this system to intelligent transportation system realizes wisdom fortune dimension management, its key feature is, the system that realizes wisdom fortune dimension management include fortune dimension management platform, wherein, fortune dimension management platform include:
the first login module is used for carrying out authority verification management on personnel login;
the asset management module is used for managing the intelligent transportation equipment information;
the data storage module is used for storing asset information, operation and maintenance personnel information, equipment production data information, equipment inspection result information, maintenance task information, performance assessment data information and authority data information;
the data acquisition module is used for acquiring network communication state data, heartbeat data, hardware fault data and production data of the intelligent transportation equipment;
the automatic inspection module is used for carrying out multi-dimensional fault judgment on the acquired network connection state data, heartbeat data, hardware fault data and production data aiming at hardware, network or data abnormity of the intelligent transportation equipment;
the fault alarm module is used for judging the fault of the intelligent traffic equipment by adopting a fault diagnosis algorithm and carrying out corresponding alarm operation;
the maintenance management module is used for receiving the fault information sent by the fault alarm module and finishing corresponding fault maintenance processing;
the performance assessment module is used for assessing and evaluating the health degree of the intelligent traffic equipment and the quality of maintenance tasks of maintenance personnel by establishing a system health assessment index system and maintenance task quality assessment indexes;
and the authority management module is used for performing authorization management on various functions of the user using the operation and maintenance management platform and setting corresponding processing personnel for maintenance tasks of different types of faults.
Preferably, the intelligent transportation device information includes a device number, a device name, a longitude and latitude, and an IP address.
Preferably, the production data includes real-time production data and historical production data.
Preferably, the automatic inspection module specifically performs the following fault judgment:
the intelligent transportation equipment network is disconnected to judge equipment failure, the heartbeat data of the intelligent transportation equipment is interrupted to judge equipment failure, the intelligent transportation equipment network self-reports hardware failure to judge equipment failure, the real-time production data of the intelligent transportation equipment is compared with a data base line formed according to historical production data to generate abnormity to judge equipment failure, and the data quality of the intelligent transportation equipment does not meet requirements to judge equipment failure.
Preferably, the fault alarm module specifically performs the following alarm operations:
and the fault alarm module converts the fault information into a maintenance task to be stored in the maintenance management module for subsequent maintenance processing.
Preferably, the system health evaluation index system in the performance assessment module is specifically:
and evaluating the health degree of the operation and maintenance system of the intelligent transportation equipment through a measurable structured index system, wherein the quantitative indexes comprise system-level macroscopic indexes and equipment-level microscopic indexes, and the quantitative indexes are divided into a functional index system and a three-level index system.
More preferably, the functional index system specifically comprises:
1) system health index: the score (1-100 points) of the overall health state of the maintained system is weighted and averaged according to the health degree of each service subsystem, network, system resource and database, and the weight is configurable;
2) the health degree of the subsystem: the evaluation (1-100 points) of the health state of the service subsystem comprises electric police/bayonet system/video system/signal system health degree, network health degree (core network), system resource health degree (comprising a physical machine, a virtual machine, an application and a storage) and database health degree, which are respectively obtained by arithmetic mean calculation of various index values of the subsystem;
3) equipment indexes are as follows: the subdivision indexes of various devices such as a camera, an electric police, a vehicle access, a human face access device, a signal machine, a server and a switch are indicated;
4) network indexes are as follows: the method comprises the following steps of network delay, bandwidth and flow coefficient indexes;
5) data indexes are as follows: including data volume, data real-time, and data quality.
Preferably, the score range of the score is 1-100, the network health degree is the core network health degree, and the system resource health degree comprises the health degrees of a physical machine, a virtual machine, an application and data storage.
More preferably, the data amount in the data index is specifically:
the daily cumulative amount of the electric police/vehicle gate/face gate equipment data comprises the recorded number of the vehicle passing record, the violation record, the face picture, the pedestrian and the event number.
Preferably, the three-level index system comprises 4 first-level indexes, 5 second-level indexes and 19 third-level indexes, wherein,
the first-level indexes comprise health equipment, health resources, a health network and health data;
the secondary indexes comprise equipment quality, central system resources, a database, a core network and data quality;
the three-level indexes comprise equipment online rate, equipment integrity rate, system average fault number, equipment fault total number, disk utilization rate, CPU utilization rate, memory utilization rate, meter space utilization rate, database memory utilization rate, response time, network delay, bandwidth, flow, data volume abnormal rate, data delay rate, data quality abnormal rate, card identification abnormal rate, data uploading rate and data uploading rate on time.
Preferably, the maintenance task quality evaluation index in the performance assessment module includes a statistical index and an evaluation index, and specifically performs the following operations:
and corresponding index evaluation is carried out according to the workload, quality and efficiency conditions of the finished maintenance task.
Preferably, the system for realizing intelligent operation and maintenance management further comprises a mobile operation and maintenance APP, wherein the mobile operation and maintenance APP comprises a second login module, a maintenance task query module, a maintenance task processing module and a map navigation module, and the mobile operation and maintenance APP performs the following processing:
(1) according to the input information of the operation and maintenance personnel, the mobile operation and maintenance application APP carries out account login and enters the maintenance task query module to query the maintenance task;
(2) automatically synchronizing the position information of the equipment points needing to be maintained in the maintenance task list into the map navigation module and carrying out positioning display;
(3) navigating and positioning to the position of equipment to be maintained by using a navigation function according to the input information of the operation and maintenance personnel;
(4) and after the maintenance is finished, the maintenance result is fed back through the maintenance task processing module, and the maintenance result is recorded into the maintenance management module of the operation and maintenance management platform.
By adopting the system for realizing intelligent operation and maintenance management aiming at the intelligent traffic system, uninterrupted automatic inspection of the intelligent traffic system for 7 x 24 hours is realized through the operation and maintenance management platform, equipment faults can be found in time and alarm processing is carried out, and maintenance tasks can be directly pushed to the mobile operation and maintenance application APP of operation and maintenance personnel, so that the relevant operation and maintenance personnel can process in time conveniently, and the time for finding and repairing the faults is shortened through an electronic process. Meanwhile, operation and maintenance managers can monitor the system operation state and fault maintenance conditions in real time, and the intelligent traffic system can operate normally and stably.
Drawings
Fig. 1 is a schematic diagram of a framework structure of an operation and maintenance management platform of a system for implementing intelligent operation and maintenance management for an intelligent transportation system according to the present invention.
Fig. 2 is a processing flow diagram of a mobile operation and maintenance application APP of the system for implementing intelligent operation and maintenance management for an intelligent transportation system according to the present invention.
Reference numerals
Operation and maintenance management platform 1
Mobile operation and maintenance application APP2
Maintenance task query module 202
Maintenance task processing module 203
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
Before explaining embodiments in accordance with the present invention in detail, it should be noted that first and second like relational terms are used hereinafter only to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, the system for implementing intelligent operation and maintenance management for an intelligent transportation system includes an operation and maintenance management platform 1, where the operation and maintenance management platform 1 includes:
the first login module 101 is used for performing authority verification management on personnel login;
the asset management module 102 is used for managing the intelligent transportation equipment information;
the data storage module 103 is used for storing asset information, operation and maintenance personnel information, equipment production data information, equipment inspection result information, maintenance task information, performance assessment data information and authority data information;
the data acquisition module 104 is used for acquiring network connection state data, heartbeat data, hardware fault data and production data of the intelligent transportation equipment;
the automatic inspection module 105 is used for carrying out multi-dimensional fault judgment on the acquired network connection state data, heartbeat data, hardware fault data and production data aiming at hardware, network or data abnormity of the intelligent transportation equipment;
the fault alarm module 106 is used for judging the fault of the intelligent transportation equipment by adopting a fault diagnosis algorithm and carrying out corresponding alarm operation;
a maintenance management module 107, configured to receive the fault information sent by the fault alarm module 106, and complete corresponding fault maintenance processing;
the performance assessment module 108 is used for assessing and evaluating the health degree of the intelligent transportation equipment and the quality of maintenance tasks of maintenance personnel by establishing a system health assessment index system and maintenance task quality assessment indexes;
and the authority management module 109 is used for performing function authorization management on a user using the operation and maintenance management platform 1, and setting corresponding processing personnel for maintenance tasks of different types of faults.
As a preferred embodiment of the present invention, the intelligent transportation device information includes a device number, a device name, a longitude and latitude, and an IP address.
As a preferred embodiment of the present invention, the production data includes real-time production data and historical production data.
As a preferred embodiment of the present invention, the automatic inspection module 105 specifically performs the following fault determination:
the intelligent transportation equipment network is disconnected to judge equipment failure, the heartbeat data of the intelligent transportation equipment is interrupted to judge equipment failure, the intelligent transportation equipment network self-reports hardware failure to judge equipment failure, the real-time production data of the intelligent transportation equipment is compared with a data base line formed according to historical production data to generate abnormity to judge equipment failure, and the data quality of the intelligent transportation equipment does not meet requirements to judge equipment failure.
As a preferred embodiment of the present invention, the fault alarm module 106 specifically performs the following alarm operations:
the fault diagnosis algorithm is adopted to judge the fault of the intelligent transportation equipment according to the network connection state data, heartbeat data, hardware fault data and production data of the intelligent transportation equipment, which are acquired by the data acquisition module 104, and fault information is sent to the data storage module 103, and then the fault alarm module 106 converts the fault information into a maintenance task and stores the maintenance task into the maintenance management module 107 for subsequent maintenance processing.
As a preferred embodiment of the present invention, the system health evaluation index system in the performance assessment module 108 specifically includes:
and evaluating the health degree of the operation and maintenance system of the intelligent transportation equipment through a measurable structured index system, wherein the quantitative indexes comprise system-level macroscopic indexes and equipment-level microscopic indexes, and the quantitative indexes are divided into a functional index system and a three-level index system.
As a preferred embodiment of the present invention, the functional index system specifically includes:
1) system health index: the score (1-100 points) of the overall health state of the maintained system is weighted and averaged according to the health degree of each service subsystem, network, system resource and database, and the weight is configurable;
2) the health degree of the subsystem: the evaluation (1-100 points) of the health state of the service subsystem comprises electric police/bayonet system/video system/signal system health degree, network health degree (core network), system resource health degree (comprising a physical machine, a virtual machine, an application and a storage) and database health degree, which are respectively obtained by arithmetic mean calculation of various index values of the subsystem;
3) equipment indexes are as follows: the subdivision indexes of various devices such as a camera, an electric police, a vehicle access, a human face access device, a signal machine, a server and a switch are indicated;
4) network indexes are as follows: the method comprises the following steps of network delay, bandwidth and flow coefficient indexes;
5) data indexes are as follows: including data volume, data real-time, and data quality.
In a specific embodiment of the present invention, the score of the score ranges from 1 to 100, the network health degree is a core network health degree, and the system resource health degree includes health degrees of a physical machine, a virtual machine, an application, and data storage.
As a preferred embodiment of the present invention, the data amount in the data index is specifically:
the daily cumulative amount of the electric police/vehicle gate/face gate equipment data comprises the recorded number of the vehicle passing record, the violation record, the face picture, the pedestrian and the event number.
As a preferred embodiment of the present invention, the three-level index system comprises 4 first-level indexes, 5 second-level indexes and 19 third-level indexes, wherein,
the first-level indexes comprise health equipment, health resources, a health network and health data;
the secondary indexes comprise equipment quality, central system resources, a database, a core network and data quality;
the three-level indexes comprise equipment online rate, equipment integrity rate, system average fault number, equipment fault total number, disk utilization rate, CPU utilization rate, memory utilization rate, meter space utilization rate, database memory utilization rate, response time, network delay, bandwidth, flow, data volume abnormal rate, data delay rate, data quality abnormal rate, card identification abnormal rate, data uploading rate and data uploading rate on time.
As a preferred embodiment of the present invention, the maintenance task quality evaluation index in the performance assessment module 108 includes a statistical index and an evaluation index, and specifically performs the following operations:
and corresponding index evaluation is carried out according to the workload, quality and efficiency conditions of the finished maintenance task.
Referring to fig. 2, in an embodiment of the present invention, the system for implementing intelligent operation and maintenance management further includes a mobile operation and maintenance application APP2, where the mobile operation and maintenance application APP2 performs the following processes:
(1) according to the input information of the operation and maintenance personnel, the mobile operation and maintenance application APP2 performs account login and enters the maintenance task query module to query the maintenance task;
(2) automatically synchronizing the position information of the equipment points needing to be maintained in the maintenance task list into the map navigation module 204 and performing positioning display;
(3) navigating and positioning to the position of equipment to be maintained by using a navigation function according to the input information of the operation and maintenance personnel;
(4) after the maintenance is completed, the maintenance task processing module 203 feeds back the maintenance result, and records the maintenance result into the maintenance management module 107 of the operation and maintenance management platform 1.
In a specific embodiment of the present invention, the operation and maintenance management platform 1 includes a first login module 101, an asset management module 102, a data storage module 103, a data acquisition module 104, an automatic inspection module 105, a fault alarm module 106, a maintenance management module 107, a performance assessment module 108, and an authority management module 109, and the mobile operation and maintenance APP2 includes a second login module 201, a maintenance task query module 202, a maintenance task processing module 203, and a map navigation module 204.
The first login module 101 performs authority verification management on personnel login, the asset management module 102 manages information of intelligent transportation equipment, the data storage module 103 stores asset information, operation and maintenance personnel information, equipment production data, equipment inspection results, maintenance tasks, performance assessment data, authority data and the like, the data acquisition module 104 collects network connection state, heartbeat data, hardware fault data and production data of the intelligent transportation equipment, the automatic inspection module 105 performs multi-dimensional fault detection on hardware, network and data of the equipment, and judges faults existing in the intelligent transportation equipment by adopting a fault diagnosis algorithm according to the equipment network connection state data, the heartbeat data, the hardware fault data and the production data acquired by the data acquisition module 104 and sends the fault information to the data storage module 103, the fault alarm module 106 then converts the fault information into a maintenance task to be stored in the maintenance management module 107, and the maintenance management module 107 pushes the maintenance task to the mobile operation and maintenance application APP 2. After logging in the mobile operation and maintenance application APP2, an operation and maintenance person inquires a maintenance task in the maintenance task inquiry module 202, when checking the maintenance task, the position of an equipment point position required to be maintained in the maintenance task is automatically synchronized to the map navigation module 204 and is positioned and displayed, the operation and maintenance person can navigate to the equipment position by using a navigation function, a maintenance result is fed back by the maintenance task processing module 203 after the maintenance is completed, and the maintenance result is recorded in the maintenance management module 107 of the operation and maintenance management platform 1. The authority management module 109 performs authorization management of various functions for the user using the operation and maintenance management platform 1, and sets corresponding processing personnel for maintenance tasks of different types of faults. The performance assessment module 108 establishes a system health evaluation index system and a maintenance task quality evaluation index, and respectively evaluates the health degree of the intelligent transportation system and the maintenance task quality of maintenance personnel.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
In the description herein, references to the description of the term "an embodiment," "some embodiments," "an example," "a particular embodiment," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
By adopting the system for realizing intelligent operation and maintenance management aiming at the intelligent traffic system, uninterrupted automatic inspection of the intelligent traffic system for 7 x 24 hours is realized through the operation and maintenance management platform, equipment faults can be found in time and alarm processing is carried out, and maintenance tasks can be directly pushed to the mobile operation and maintenance application APP of operation and maintenance personnel, so that the relevant operation and maintenance personnel can process in time conveniently, and the time for finding and repairing the faults is shortened through an electronic process. Meanwhile, operation and maintenance managers can monitor the system operation state and fault maintenance conditions in real time, and the intelligent traffic system can operate normally and stably.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (12)
1. The utility model provides a system to intelligent transportation system realizes wisdom operation and maintenance management which characterized in that, the system that realizes wisdom operation and maintenance management include operation and maintenance management platform, wherein, operation and maintenance management platform include:
the first login module is used for carrying out authority verification management on personnel login;
the asset management module is used for managing the intelligent transportation equipment information;
the data storage module is used for storing asset information, operation and maintenance personnel information, equipment production data information, equipment inspection result information, maintenance task information, performance assessment data information and authority data information;
the data acquisition module is used for acquiring network communication state data, heartbeat data, hardware fault data and production data of the intelligent transportation equipment;
the automatic inspection module is used for carrying out multi-dimensional fault judgment on the acquired network connection state data, heartbeat data, hardware fault data and production data aiming at hardware, network or data abnormity of the intelligent transportation equipment;
the fault alarm module is used for judging the fault of the intelligent traffic equipment by adopting a fault diagnosis algorithm and carrying out corresponding alarm operation;
the maintenance management module is used for receiving the fault information sent by the fault alarm module and finishing corresponding fault maintenance processing;
the performance assessment module is used for assessing and evaluating the health degree of the intelligent traffic equipment and the quality of maintenance tasks of maintenance personnel by establishing a system health assessment index system and maintenance task quality assessment indexes;
and the authority management module is used for performing authorization management on various functions of the user using the operation and maintenance management platform and setting corresponding processing personnel for maintenance tasks of different types of faults.
2. The system of claim 1, wherein the intelligent transportation device information includes device number, device name, latitude and longitude, and IP address.
3. The system of claim 1, wherein the production data includes real-time production data and historical production data.
4. The system for intelligent operation and maintenance management of an intelligent transportation system according to claim 1, wherein the automatic inspection module specifically performs the following fault judgment:
the intelligent transportation equipment network is disconnected to judge equipment failure, the heartbeat data of the intelligent transportation equipment is interrupted to judge equipment failure, the intelligent transportation equipment network self-reports hardware failure to judge equipment failure, the real-time production data of the intelligent transportation equipment is compared with a data base line formed according to historical production data to generate abnormity to judge equipment failure, and the data quality of the intelligent transportation equipment does not meet requirements to judge equipment failure.
5. The system for intelligent operation and maintenance management of an intelligent transportation system as claimed in claim 1, wherein the fault alarm module specifically performs the following alarm operations:
and the fault alarm module converts the fault information into a maintenance task to be stored in the maintenance management module for subsequent maintenance processing.
6. The system for intelligent operation and maintenance management of an intelligent transportation system as claimed in claim 1, wherein the system health assessment index system in the performance assessment module is specifically:
and evaluating the health degree of the operation and maintenance system of the intelligent transportation equipment through a measurable structured index system, wherein the quantitative indexes comprise system-level macroscopic indexes and equipment-level microscopic indexes, and the quantitative indexes are divided into a functional index system and a three-level index system.
7. The system for intelligent operation and maintenance management of an intelligent transportation system as claimed in claim 6, wherein the functional index system specifically comprises:
1) system health index: the overall health state of the maintained system is graded, weighted average is carried out according to the health degree of each service subsystem, network, system resource and database, the weight is configurable, and the grading value range is 1-100 points;
2) the health degree of the subsystem: the system is characterized by comprising a business subsystem health state grading device, a business subsystem health state grading device and a business subsystem health state grading device, wherein the business subsystem health state grading device comprises an electric police/bayonet system/video system/signal system health degree, a network health degree, a system resource health degree and a database health degree, and the electric police/bayonet system/video system/signal system health degree, the network health degree, the system resource health degree and the database health degree are respectively obtained by arithmetic mean calculation of various index values of the subsystems, the grading value range is 1-100 points, the network health degree is a core network health degree, and the system resource health degree comprises;
3) equipment indexes are as follows: the subdivision indexes of various devices such as a camera, an electric police, a vehicle access, a human face access device, a signal machine, a server and a switch are indicated;
4) network indexes are as follows: the method comprises the following steps of network delay, bandwidth and flow coefficient indexes;
5) data indexes are as follows: including data volume, data real-time, and data quality.
8. The system of claim 7, wherein the data index includes data quantity as follows:
the daily cumulative amount of the electric police/vehicle gate/face gate equipment data comprises the recorded number of the vehicle passing record, the violation record, the face picture, the pedestrian and the event number.
9. The system of claim 6, wherein the three-level index system comprises 4 first-level indexes, 5 second-level indexes and 19 third-level indexes,
the first-level indexes comprise health equipment, health resources, a health network and health data;
the secondary indexes comprise equipment quality, central system resources, a database, a core network and data quality;
the three-level indexes comprise equipment online rate, equipment integrity rate, system average fault number, equipment fault total number, disk utilization rate, CPU utilization rate, memory utilization rate, meter space utilization rate, database memory utilization rate, response time, network delay, bandwidth, flow, data volume abnormal rate, data delay rate, data quality abnormal rate, card identification abnormal rate, data uploading rate and data uploading rate on time.
10. The system for intelligent operation and maintenance management of an intelligent transportation system as claimed in claim 1, wherein the maintenance task quality evaluation indexes in the performance assessment module include statistical indexes and evaluation indexes, and specifically perform the following operations:
and corresponding index evaluation is carried out according to the workload, quality and efficiency conditions of the finished maintenance task.
11. The system of claim 10, wherein the statistical indicators comprise:
the total number of maintenance tasks, the total number of completed maintenance tasks, the number of overdue maintenance tasks, the total workload of maintenance tasks, the total number of completed maintenance tasks, the total workload of maintenance tasks, the response time of a single task, the maintenance time of a single task and the number of overdue days of a single task;
the evaluation indexes include:
the maintenance task completion rate, the timely maintenance rate, the maintenance task expiration rate, the average response time, the average maintenance time, the maintenance task completion rate and the maintenance task on-time completion rate.
12. The system for intelligent operation and maintenance management of an intelligent transportation system according to any one of claims 1 to 11, wherein the system for intelligent operation and maintenance management further comprises a mobile operation and maintenance application APP, the mobile operation and maintenance application APP comprises a second login module, a maintenance task query module, a maintenance task processing module and a map navigation module, wherein the mobile operation and maintenance application APP performs the following processing:
(1) according to the input information of the operation and maintenance personnel, the mobile operation and maintenance application APP carries out account login and enters the maintenance task query module to query the maintenance task;
(2) automatically synchronizing the position information of the equipment points needing to be maintained in the maintenance task list into the map navigation module and carrying out positioning display;
(3) navigating and positioning to the position of equipment to be maintained by using a navigation function according to the input information of the operation and maintenance personnel;
(4) and after the maintenance is finished, the maintenance result is fed back through the maintenance task processing module, and the maintenance result is recorded into the maintenance management module of the operation and maintenance management platform.
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Cited By (1)
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