CN117391373B - Multi-dimensional data-based full-channel intelligent operation and maintenance management method and system - Google Patents
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Abstract
The invention discloses a full-channel intelligent operation and maintenance management method and system based on multidimensional data, and belongs to the technical field of intelligent operation and maintenance management; the water service operation and maintenance personnel evaluate and classify the reaction state of the treatment of the abnormal water service from the feedback of the abnormal water service and the interval time between the abnormal water service and the arrival at the site, calculate the actual node treatment time of the monitoring node and the estimated node treatment time to obtain a progress ratio, analyze and classify the progress ratio, so that the actual treatment progress state of the monitoring node can be obtained, and reliable data support can be provided for the dynamic update of the estimated treatment time of the early prompt; the estimated processing time is dynamically updated and prompted according to the processing progress advanced label or the processing progress delayed label, so that the estimated processing time of the early prompt is traced and updated; the invention is used for solving the technical problem that the notification sent in the prior art cannot be dynamically updated and prompted according to the actual processing condition of the water service operation and maintenance.
Description
Technical Field
The invention relates to the technical field of intelligent operation and maintenance management, in particular to a full-channel intelligent operation and maintenance management method and system based on multidimensional data.
Background
The water operation and maintenance management refers to the process of continuously monitoring, maintaining and managing water resources, water supply, water discharge, water treatment and the like.
The existing water service operation and maintenance management scheme has certain defects when being implemented, at present, push prompt is only carried out on the water service area with abnormality and the estimated processing ending time of the abnormality, data statistics and mining analysis are not carried out on different progress of abnormal water service area processing, and the notification sent in the early stage is dynamically updated and prompted according to the actual processing condition of the water service operation and maintenance, so that the operation and maintenance transparency and the notification effect of the water service operation and maintenance implementation process are poor.
Disclosure of Invention
The invention aims to provide a full-channel intelligent operation and maintenance management method and system based on multidimensional data, which are used for solving the technical problem that an early-stage sent notification cannot be dynamically updated and prompted according to the actual processing condition of water service operation and maintenance in the existing scheme.
The aim of the invention can be achieved by the following technical scheme:
a full channel wisdom fortune dimension management system based on multidimensional data includes:
the water affair problem monitoring and processing module is used for carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area; comprising the following steps:
acquiring an abnormal region in which water affairs passively appear abnormal in the target region, acquiring a corresponding abnormal influence region according to the abnormal region and the water affair relation database, and acquiring a feedback time point when the water affairs passively appear abnormal;
performing retrospective analysis on the abnormal processing of the abnormal region, marking the time when the water service processing personnel arrives at the abnormal region as first processing time, and marking the time when the water service processing personnel determines the abnormal type of the abnormal influence region as second processing time;
acquiring a corresponding historical abnormality solving maximum time according to the abnormality type, and acquiring a corresponding estimated processing time according to the second processing time and the historical abnormality solving maximum time;
acquiring contact information of all users in the area according to the abnormal influence area, pushing information according to the contact information by using the abnormal type and the estimated processing time of the abnormal influence area;
the water affair problem tracing and evaluating module is used for carrying out data statistics and data analysis on the processing nodes in the abnormal area and carrying out dynamic alarm prompt on the processing states of different processing nodes in the abnormal area according to the analysis result;
and the water service problem processing management module is used for carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period and dynamically controlling the subsequent processing work of water service operation and maintenance personnel according to the evaluation result.
Preferably, the working steps of the water affair problem tracing evaluation module include:
acquiring corresponding abnormal processing distances according to coordinates of the abnormal area and office coordinates of water service operation and maintenance personnel work, acquiring corresponding standard passing time according to the abnormal processing distances and the historical passing rate of the water service operation and maintenance personnel, and acquiring corresponding actual passing time according to a feedback time point when the water service is passively abnormal and the first processing time when the water service operation and maintenance personnel reach the abnormal area;
and obtaining the difference between the actual passing time length and the standard passing time length, marking the difference as a passing processing value, and evaluating the reaction state of the water service operation and maintenance personnel according to the passing processing value.
Preferably, when the response state of the water service operation and maintenance personnel is evaluated according to the traffic processing value, the traffic processing value is compared with a historical traffic threshold value;
if the passing processing value is not greater than the historical passing threshold value, generating a normal response label; if the passing processing value is larger than the historical passing threshold value, generating a reaction abnormal label; the reaction normal label or the reaction abnormal label constitutes reaction state analysis data.
Preferably, when data statistics is implemented on processing states of different processing nodes in an abnormal area, time when the construction environment of the abnormal area is processed is marked as monitoring node starting time, time when the monitoring node is completed is obtained and marked as monitoring node ending time, actual node processing time corresponding to the abnormal area is obtained according to the monitoring node ending time and the monitoring node starting time, corresponding estimated node processing time is obtained according to the historical abnormality resolution maximum time, a ratio of the actual node processing time to the estimated node processing time is obtained and set as a progress ratio, the processing state of the node is analyzed according to the progress ratio, and the estimated processing time notified in the earlier stage is dynamically updated.
Preferably, the progress ratio is subjected to traversal matching with a preset standard ratio range;
if the progress ratio is in the standard ratio range, generating a normal processing progress label; if the progress ratio is smaller than the minimum value of the standard ratio range, generating a processing progress advance label; if the progress ratio is greater than the maximum value of the standard ratio range, generating a processing progress delay tag;
the processing progress normal label, the processing progress advanced label or the processing progress delayed label form node state analysis data, and when the estimated processing time is dynamically updated according to the node state analysis data,
traversing the node state analysis data, maintaining the unchanged estimated processing time according to the traversed processing progress normal label, and not carrying out updating prompt.
Preferably, the pre-estimated processing time is updated and prompted according to the traversed processing progress advanced label or the processing progress delayed label, and the corresponding progress ratio is multiplied by the historical abnormality solving maximum duration according to the processing progress advanced label or the processing progress delayed label to obtain the corresponding first updating solving duration or second updating solving duration;
acquiring corresponding first estimated processing update time or second estimated processing update time according to the second processing time and the first update solution time or the second update solution time, updating the estimated processing time of the previous prompt according to the first estimated processing update time or the second estimated processing update time, and pushing the prompt.
Preferably, the water affair problem management module comprises the following working steps:
in a monitoring period, counting the total number of abnormal water affairs occurring in a target area and node state analysis data corresponding to each abnormal water affair processing process, and performing traversal statistics on normal labels of processing progress, normal label total number, advanced label total number and prolonged label total number corresponding to advanced labels of processing progress and delayed labels of processing progress on all the node state analysis data;
calculating the operation and maintenance treatment degree Jc of the water service operation and maintenance personnel in the monitoring period for treating the abnormal water service according to an operation and maintenance treatment formula Jc= [ (ZZ+0.5xTZ+2 xYZ)/CZ ] -alpha; wherein CZ is the total number of abnormal water affairs, ZZ is the total number of normal labels, TZ is the total number of advanced labels, YZ is the total number of prolonged labels, and alpha is the standard operation and maintenance treatment degree.
Preferably, when the validity evaluation is implemented according to the overall update condition of the estimated processing time of the operation and maintenance processing degree to the target area, if the operation and maintenance processing degree is not more than zero, generating an operation and maintenance normal label; if the operation processing degree is greater than zero, generating an operation and maintenance abnormal label; the operation and maintenance normal label or the operation and maintenance abnormal label forms an evaluation result.
Preferably, when the subsequent processing work of the water service operation and maintenance personnel is dynamically controlled according to the evaluation result, the evaluation result is traversed, and the existing operation and maintenance personnel training frequency is maintained or the existing operation and maintenance personnel training frequency is increased respectively according to the operation and maintenance normal label or the operation and maintenance abnormal label in the traversal result.
A full channel intelligent operation and maintenance management method based on multidimensional data comprises the following steps:
carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area;
carrying out data statistics and data analysis on the processing nodes of the abnormal region, and carrying out dynamic alarm prompt on the processing states of different processing nodes of the abnormal region according to analysis results;
and carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period, and dynamically controlling the subsequent processing work of the water service operation and maintenance personnel according to the evaluation result.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the response state of the water service operation and maintenance personnel is evaluated and classified according to the feedback of the abnormal water service and the interval time between the abnormal water service operation and maintenance personnel and the site, so that the response state type of the water service operation and maintenance on the abnormal implementation treatment of the abnormal region can be obtained, and the data support in the aspect of the response state can be provided for the training management of the subsequent water service operation and maintenance personnel;
the invention calculates the actual node processing time length of the monitoring node and the estimated node processing time length to obtain the progress ratio, and analyzes and classifies the progress ratio to obtain the actual processing progress state of the monitoring node, and also provides reliable data support for the dynamic update of the estimated processing time of the early prompt, thereby improving the diversity of the monitoring node monitoring data expansion and utilization and the timeliness and reliability of the prompt;
according to the method and the device, the estimated processing time is dynamically updated and prompted according to the processing progress advanced label or the processing progress delayed label, so that the estimated processing time of the early prompt is traced and updated, the accuracy and timeliness of the estimated processing time prompt are improved, and meanwhile, the data support in the aspect of monitoring node processing can be provided for the subsequent processing work management of subsequent water service operation and maintenance personnel;
according to the method, the corresponding operation and maintenance processing degree is obtained by carrying out data calculation on the overall update condition of the estimated processing time corresponding to all abnormal water affairs in the stage, and the overall working condition of the water affair operation and maintenance personnel is estimated and classified according to the operation and maintenance processing degree, so that the subsequent processing work of the water affair operation and maintenance personnel can be effectively and dynamically managed in time, and the estimated processing time of the subsequent abnormal water affair can be accurately prompted.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system for full channel intelligent operation and maintenance management based on multidimensional data.
FIG. 2 is a flow chart of analyzing the processing status of a node and dynamically updating the estimated processing time of a pre-notification in the present invention.
FIG. 3 is a block flow diagram of a full channel intelligent operation and maintenance management method based on multidimensional data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1: as shown in FIG. 1, the invention relates to a multi-dimensional data-based all-channel intelligent operation and maintenance management system, which comprises a water affair problem monitoring and processing module and a water affair problem tracing and evaluating module;
the water affair problem monitoring and processing module is used for carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area; comprising the following steps:
acquiring an abnormal area in which water affairs passively appear in a target area, wherein the target area can be determined according to an actual application scene, and particularly can be an existing administrative area, wherein the passively appear abnormal is the abnormality fed back by a user instead of actively implementing new or maintained water affair of a pipe network, a feedback channel comprises but is not limited to telephone feedback and online network feedback, a corresponding abnormal influence area is acquired according to the abnormal area and a water affair relation database, a feedback time point when the water affair passively appears abnormal is acquired, retrospective analysis is implemented on the abnormal processing of the abnormal area, the time when a water affair processing person reaches the abnormal area is marked as first processing time, and the time when the water affair processing person determines the abnormal type of the abnormal influence area is marked as second processing time; the units of the first treatment time and the second treatment time are accurate to minutes;
wherein, the abnormal type includes but is not limited to the pipeline fracture type and the construction error collision type; the water affair relation database comprises design data in the construction of water affair management networks at different positions, other water affair areas associated with the abnormal areas can be obtained according to the design data, and the abnormal areas and the associated water affair areas form an abnormal influence area;
acquiring a corresponding historical abnormality solving maximum time according to the abnormality type, and acquiring a corresponding estimated processing time according to the second processing time and the historical abnormality solving maximum time;
acquiring contact information of all users in the area according to the abnormal influence area, pushing information according to the contact information by using the abnormal type and the estimated processing time of the abnormal influence area;
in the embodiment of the invention, the data statistics is implemented on the abnormal water affair conditions at different positions in the target area, the traceability analysis is implemented on the abnormal treatment of the abnormal area, and the corresponding estimated treatment time is obtained by combining the historical abnormal water affair treatment data, so that the estimated end time of the abnormal water affair treatment can be timely and efficiently notified to the user, the user can make countermeasures in advance, and the timeliness of the abnormal water affair notification and the transparency of the water affair treatment are improved.
The water affair problem tracing and evaluating module is used for carrying out data statistics and data analysis on the processing nodes in the abnormal area and carrying out dynamic alarm prompt on the processing states of different processing nodes in the abnormal area according to the analysis result; comprising the following steps:
the corresponding abnormal processing distance is obtained according to the coordinates of the abnormal area and the office coordinates of the water service operation and maintenance personnel work, the abnormal processing distance can be obtained by automatic calculation through the existing navigation technology, the abnormal processing distance can be an average value corresponding to a plurality of different passable distances, the corresponding standard passing duration is obtained according to the abnormal processing distance and the historical passing rate of the water service operation and maintenance personnel, and the corresponding actual passing duration is obtained according to the feedback time point when the water service passively goes wrong and the first processing time when the water service operation and maintenance personnel reach the abnormal area;
the method comprises the steps of obtaining a difference value between actual passing time and standard passing time, marking the difference value as a passing processing value, comparing the passing processing value with a historical passing threshold when evaluating the reaction state of water service operation and maintenance personnel according to the passing processing value, wherein the historical passing threshold is determined according to historical passing big data of the water service operation and maintenance personnel;
if the passing processing value is not greater than the historical passing threshold value, generating a normal response label;
if the passing processing value is larger than the historical passing threshold value, generating a reaction abnormal label;
the normal reaction label or the abnormal reaction label forms reaction state analysis data;
in the embodiment of the invention, the reaction states processed by the water service operation and maintenance personnel are evaluated and classified through the feedback of the water service operation and maintenance personnel from the acquisition of the abnormal water service and the interval time between the water service operation and maintenance personnel and the site, so that the reaction state type of the water service operation and maintenance for carrying out the processing on the abnormality in the abnormal region can be acquired, and the data support in the reaction state aspect can be provided for the training management of the subsequent water service operation and maintenance personnel;
when data statistics is implemented on the processing states of different processing nodes of the abnormal region, acquiring a time mark of the abnormal region construction environment after processing as a monitoring node starting time, acquiring a time of the monitoring node after finishing and marking as a monitoring node ending time, and acquiring an actual node processing time corresponding to the abnormal region according to the monitoring node ending time and the monitoring node starting time;
the water service operation and maintenance personnel need to survey after reaching the site of the abnormal area, and the construction environment is processed specifically and comprises pipeline survey: the pipeline to be maintained is surveyed, and the maintenance range and the maintenance condition are determined; site investigation: surveying a maintenance site to determine site limitation and safety risk; and (3) making a maintenance scheme: synthesizing pipeline investigation and site investigation results, and making a maintenance scheme;
in addition, the monitoring node includes removing the old pipe and installing the new pipe;
obtaining corresponding estimated node processing time according to a historical abnormality solving maximum time, wherein the historical abnormality solving maximum time comprises historical old pipeline dismantling time, new pipeline installing time and test debugging time, the ratio of the actual node processing time to the estimated node processing time is obtained and set as a progress ratio, the processing state of the node is analyzed according to the progress ratio, and the estimated processing time of the early notification is dynamically updated;
as shown in fig. 2, performing traversal matching on the progress ratio and a preset standard ratio range, wherein the standard ratio range is determined according to historical operation and maintenance node big data of water service operation and maintenance personnel and corresponding operation and maintenance design requirement data;
if the progress ratio is in the standard ratio range, generating a normal processing progress label;
if the progress ratio is smaller than the minimum value of the standard ratio range, generating a processing progress advance label;
if the progress ratio is greater than the maximum value of the standard ratio range, generating a processing progress delay tag;
the processing progress normal label, the processing progress advanced label or the processing progress delayed label form node state analysis data;
in the embodiment of the invention, the actual processing progress state of the monitoring node can be obtained by calculating the actual node processing time length and the estimated node processing time length of the monitoring node and analyzing and classifying the progress ratio, and reliable data support can be provided for the dynamic update of the estimated processing time of the early prompt, so that the diversity of the expansion and utilization of the monitoring data of the monitoring node and the timeliness and reliability of the prompt are improved.
When the estimated processing time is dynamically updated according to the node state analysis data, traversing the node state analysis data, and keeping the estimated processing time unchanged according to the normal label of the traversed processing progress and not carrying out updating prompt;
the method comprises the steps that a pre-estimated processing time is updated and prompted according to a traversed processing progress advanced label or a processing progress delayed label, and a corresponding progress ratio is multiplied by a historical abnormality solution maximum duration according to the processing progress advanced label or the processing progress delayed label to obtain a corresponding first update solution duration or a second update solution duration;
acquiring corresponding first estimated processing update time or second estimated processing update time according to the second processing time and the first update solution time or the second update solution time, updating the estimated processing time of the previous prompt according to the first estimated processing update time or the second estimated processing update time, and pushing the prompt;
in the embodiment of the invention, the estimated processing time is dynamically updated and prompted according to the processing progress advanced label or the processing progress delayed label, so that the estimated processing time of the early prompt is traced and updated, the accuracy and timeliness of the estimated processing time prompt are improved, and meanwhile, the data support for monitoring the node processing aspect can be provided for the subsequent processing work management of subsequent water service operation and maintenance personnel.
Example 2: on the basis of the technical scheme of the embodiment 1, the method further comprises the following steps: the water affair problem processing management module is used for carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period and dynamically controlling the subsequent processing work of water affair operation and maintenance personnel according to the evaluation result; comprising the following steps:
in the monitoring period, the unit of the monitoring period is a day, a specific numerical value can be determined according to the training period of the existing water service operation and maintenance personnel, the total number of abnormal water service occurrence in a target area and node state analysis data corresponding to each abnormal water service treatment process are counted, and the normal labels of the treatment progress, the normal labels corresponding to the treatment progress advanced labels and the treatment progress delayed labels, the total number of advanced labels and the total number of prolonged labels are traversed and counted on all the node state analysis data;
calculating the operation and maintenance treatment degree Jc of the water service operation and maintenance personnel in the monitoring period for treating the abnormal water service according to an operation and maintenance treatment formula Jc= [ (ZZ+0.5xTZ+2 xYZ)/CZ ] -alpha; wherein CZ is the total number of abnormal water affairs, ZZ is the total number of normal labels, TZ is the total number of advanced labels, YZ is the total number of prolonged labels, alpha is the standard operation and maintenance treatment degree, and the standard operation and maintenance treatment degree can be the average value of all operation and maintenance treatment degrees in history;
the operation and maintenance processing degree is a numerical value used for calculating, analyzing and classifying the overall update condition of the estimated processing time corresponding to all abnormal water affairs in the stage;
when the validity evaluation is carried out according to the overall update condition of the estimated processing time of the target area by the operation and maintenance processing degree, if the operation and maintenance processing degree is not more than zero, generating an operation and maintenance normal label;
if the operation processing degree is greater than zero, generating an operation and maintenance abnormal label;
the operation and maintenance normal labels or the operation and maintenance abnormal labels form an evaluation result, when the subsequent processing work of the water service operation and maintenance personnel is dynamically controlled according to the evaluation result, the evaluation result is traversed, and the existing operation and maintenance personnel training frequency is maintained or the existing operation and maintenance personnel training frequency is increased respectively according to the operation and maintenance normal labels or the operation and maintenance abnormal labels in the traversing result; training includes, but is not limited to, skill training and team coordination training.
In the embodiment of the invention, the corresponding operation and maintenance processing degree is obtained by carrying out data calculation on the integral update condition of the estimated processing time corresponding to all abnormal water affairs in the stage, and the integral working condition of the water affair operation and maintenance personnel is estimated and classified according to the operation and maintenance processing degree, so that the subsequent processing work of the water affair operation and maintenance personnel can be effectively and dynamically managed in time, and the estimated processing time of the subsequent abnormal water affair can be accurately prompted.
Example 3: as shown in fig. 3, a full channel intelligent operation and maintenance management method based on multidimensional data includes:
carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area;
carrying out data statistics and data analysis on the processing nodes of the abnormal region, and carrying out dynamic alarm prompt on the processing states of different processing nodes of the abnormal region according to analysis results;
and carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period, and dynamically controlling the subsequent processing work of the water service operation and maintenance personnel according to the evaluation result.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. A full channel wisdom fortune dimension management system based on multidimensional data, characterized by comprising: the water affair problem monitoring and processing module is used for carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area; comprising the following steps:
acquiring an abnormal region in which water affairs passively appear abnormal in the target region, acquiring a corresponding abnormal influence region according to the abnormal region and the water affair relation database, and acquiring a feedback time point when the water affairs passively appear abnormal;
performing retrospective analysis on the abnormal processing of the abnormal region, marking the time when the water service processing personnel arrives at the abnormal region as first processing time, and marking the time when the water service processing personnel determines the abnormal type of the abnormal influence region as second processing time;
acquiring a corresponding historical abnormality solving maximum time according to the abnormality type, and acquiring a corresponding estimated processing time according to the second processing time and the historical abnormality solving maximum time;
acquiring contact information of all users in the area according to the abnormal influence area, pushing information according to the contact information by using the abnormal type and the estimated processing time of the abnormal influence area;
the water affair problem tracing and evaluating module is used for carrying out data statistics and data analysis on the processing nodes in the abnormal area and carrying out dynamic alarm prompt on the processing states of different processing nodes in the abnormal area according to the analysis result; comprising the following steps:
acquiring corresponding abnormal processing distances according to coordinates of the abnormal area and office coordinates of water service operation and maintenance personnel work, acquiring corresponding standard passing time according to the abnormal processing distances and the historical passing rate of the water service operation and maintenance personnel, and acquiring corresponding actual passing time according to a feedback time point when the water service is passively abnormal and the first processing time when the water service operation and maintenance personnel reach the abnormal area;
obtaining a difference value between the actual passing time length and the standard passing time length, marking the difference value as a passing processing value, and comparing the passing processing value with a historical passing threshold value when evaluating the reaction state of water service operation and maintenance personnel according to the passing processing value;
if the passing processing value is not greater than the historical passing threshold value, generating a normal response label; if the passing processing value is larger than the historical passing threshold value, generating a reaction abnormal label; the normal reaction label or the abnormal reaction label forms reaction state analysis data;
when data statistics is implemented on the processing states of different processing nodes in the abnormal area, acquiring a time mark of the completion of the construction environment of the abnormal area as a monitoring node starting time, acquiring a time of the completion of the monitoring node and a time mark of the completion of the monitoring node as a monitoring node ending time, acquiring an actual node processing time corresponding to the abnormal area according to the monitoring node ending time and the monitoring node starting time, acquiring a corresponding estimated node processing time according to a historical abnormality solution maximum time, acquiring a ratio of the actual node processing time to the estimated node processing time and setting the ratio as a progress ratio, analyzing the processing state of the node according to the progress ratio, and dynamically updating the estimated processing time notified in the earlier stage;
performing traversal matching on the progress ratio and a preset standard ratio range;
if the progress ratio is in the standard ratio range, generating a normal processing progress label; if the progress ratio is smaller than the minimum value of the standard ratio range, generating a processing progress advance label; if the progress ratio is greater than the maximum value of the standard ratio range, generating a processing progress delay tag;
the node state analysis data is formed by the normal processing progress label, the advanced processing progress label or the delayed processing progress label, when the estimated processing time is dynamically updated according to the node state analysis data, the node state analysis data is traversed, and the estimated processing time is maintained unchanged according to the traversed normal processing progress label and is not updated and prompted;
updating and prompting the estimated processing time according to the traversed processing progress advanced label or the processing progress delayed label, and multiplying the corresponding progress ratio by the historical abnormality solving maximum duration according to the processing progress advanced label or the processing progress delayed label to obtain a corresponding first updating solution duration or second updating solution duration;
acquiring corresponding first estimated processing update time or second estimated processing update time according to the second processing time and the first update solution time or the second update solution time, updating the estimated processing time of the previous prompt according to the first estimated processing update time or the second estimated processing update time, and pushing the prompt;
and the water service problem processing management module is used for carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period and dynamically controlling the subsequent processing work of water service operation and maintenance personnel according to the evaluation result.
2. The system for full channel intelligent operation and maintenance management based on multidimensional data according to claim 1, wherein the water affair problem processing management module comprises the following working steps:
in a monitoring period, counting the total number of abnormal water affairs occurring in a target area and node state analysis data corresponding to each abnormal water affair processing process, and performing traversal statistics on normal labels of processing progress, normal label total number, advanced label total number and prolonged label total number corresponding to advanced labels of processing progress and delayed labels of processing progress on all the node state analysis data;
calculating the operation and maintenance treatment degree Jc of the water service operation and maintenance personnel in the monitoring period for treating the abnormal water service according to an operation and maintenance treatment formula Jc= [ (ZZ+0.5xTZ+2 xYZ)/CZ ] -alpha; wherein CZ is the total number of abnormal water affairs, ZZ is the total number of normal labels, TZ is the total number of advanced labels, YZ is the total number of prolonged labels, and alpha is the standard operation and maintenance treatment degree.
3. The system for full channel intelligent operation and maintenance management based on multidimensional data according to claim 2, wherein when the validity evaluation is implemented according to the overall update condition of the operation and maintenance processing degree to the estimated processing time of the target area, if the operation and maintenance processing degree is not more than zero, an operation and maintenance normal label is generated; if the operation processing degree is greater than zero, generating an operation and maintenance abnormal label; the operation and maintenance normal label or the operation and maintenance abnormal label forms an evaluation result.
4. The system of claim 3, wherein when the subsequent processing work of the water service operation staff is dynamically controlled according to the evaluation result, the evaluation result is traversed, and the existing operation staff training frequency is maintained or the existing operation staff training frequency is increased according to the operation normal label or the operation abnormal label in the traversal result.
5. A multi-dimensional data-based full-channel intelligent operation and maintenance management method applied to the multi-dimensional data-based full-channel intelligent operation and maintenance management system as claimed in any one of claims 1 to 4, comprising the following steps:
carrying out data statistics on water affair abnormal conditions at different positions in the target area and carrying out traceability analysis on abnormal processing of the abnormal area;
carrying out data statistics and data analysis on the processing nodes of the abnormal region, and carrying out dynamic alarm prompt on the processing states of different processing nodes of the abnormal region according to analysis results;
and carrying out validity evaluation on the overall update condition of the estimated processing time of the target area in the monitoring period, and dynamically controlling the subsequent processing work of the water service operation and maintenance personnel according to the evaluation result.
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