CN115271567B - Property service data analysis method and system based on work order scheduling platform - Google Patents

Property service data analysis method and system based on work order scheduling platform Download PDF

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CN115271567B
CN115271567B CN202211204553.XA CN202211204553A CN115271567B CN 115271567 B CN115271567 B CN 115271567B CN 202211204553 A CN202211204553 A CN 202211204553A CN 115271567 B CN115271567 B CN 115271567B
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work order
task
order information
scheduling
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CN115271567A (en
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贺天川
孙博
蔡新宇
袁启庭
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Rongtong Real Estate Property Management Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/16—Real estate
    • G06Q50/163—Property management

Abstract

The invention provides a property service data analysis method and system based on a work order scheduling platform. The property service data analysis method comprises the following steps: the property service system sends work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for work order information reception; after receiving the work order information, the work order scheduling platform analyzes and identifies the data of the work order information to obtain the task execution state of each task execution mechanism, calls the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performs coordination scheduling on the task execution among the task execution mechanisms of the property service system; and visually displaying the coordination scheduling condition of the work order scheduling platform by using the IOC platform. The system comprises modules corresponding to the method steps.

Description

Property service data analysis method and system based on work order scheduling platform
Technical Field
The invention provides a property service data analysis method and system based on a work order scheduling platform, and belongs to the technical field of scheduling data analysis.
Background
With the continuous improvement of intelligent management technology, a property service intelligent platform for one service area is gradually applied to various large property management works, but in the technology, various services and tasks of the property service need manual supervision and scheduling, so that the problems of low automation degree of the property service platform, high manual consumption and low service and task scheduling efficiency occur.
Disclosure of Invention
The invention provides a property service data analysis method and system based on a work order scheduling platform, which are used for solving the problems that in the prior art, the property service platform is low in automation degree, large in labor consumption and low in service and task scheduling efficiency due to the fact that execution of various services and tasks of property services needs manual supervision and scheduling, and adopt the following technical scheme:
a property service data analysis method based on a work order scheduling platform comprises the following steps:
the property service system sends work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for work order information reception;
after receiving the work order information, the work order scheduling platform analyzes and identifies the data of the work order information to obtain the task execution state of each task execution mechanism, calls the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performs coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
and visually displaying the coordination scheduling condition of the work order scheduling platform by using the IOC platform.
Further, the property service system sends the work order information generated by each task execution mechanism in the task execution process to the work order scheduling platform, and the work order scheduling platform combines the work order monitoring time period setting model to perform monitoring time period setting and monitoring on the work order information reception, and the method comprises the following steps:
the property service system monitors stage work order information generated by each task execution mechanism in the task execution process in real time; the task execution mechanism comprises an intelligent equipment execution mechanism, a routing inspection execution mechanism, a maintenance execution mechanism, a customer service execution mechanism and a hidden danger counting execution mechanism; the tasks comprise an intelligent equipment operation task, an inspection task, a maintenance task, a customer service task and a hidden danger counting task;
immediately sending the work order information to the work order scheduling platform;
the work order scheduling platform extracts all task execution flows of the property service system, and sets a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flow and a work order monitoring time period setting model; the work order monitoring time interval setting model comprises the following steps:
Figure GDA0003956758830000021
Figure GDA0003956758830000022
wherein, T represents a monitoring time period corresponding to each task execution stage; t is 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; because the tasks in the property service system are executed in a cyclic and reciprocating periodic manner, N represents the corresponding times of the Nth execution corresponding to the task execution stage in the current execution; t is a unit of i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage, the work order scheduling platform performs early warning.
Further, the task execution state of each task execution mechanism is acquired through data analysis and identification of the work order information, and the method comprises the following steps:
marking a unique identification code for the task execution mechanism, and marking the unique identification code for all work order information generated by the task execution mechanism;
forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
scanning work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information. The task execution state is determined according to the type of the task execution mechanism and the difference of the executed tasks, for example, the task execution state corresponding to the device running task of the intelligent device is as follows: run, shut down, and/or maintenance; the inspection task state is as follows: the inspection is finished and not finished; the maintenance task state is as follows: task incomplete, task complete and/or task overdue and unexecuted; the state of the customer service task is: customer service completion, customer service incompletion and customer satisfaction; the states of the hidden danger counting task are that hidden danger counting is completed, hidden danger rectification is completed and hidden danger counting is not completed.
Furthermore, the method for scheduling the task execution of the property service system includes the following steps:
extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
the method comprises the following steps of extracting all task execution flows of a property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes, wherein the method comprises the following steps:
extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow;
forming a task execution logic diagram corresponding to each task according to a task execution flow and task execution flow nodes, wherein the task execution logic diagram comprises the task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow;
and extracting a task execution mechanism which each task execution flow node participates in, and attaching the task execution mechanism to a task execution logic node corresponding to the task execution flow node.
And according to the task execution logic diagram, combining the current task execution stage and the task execution state corresponding to the task execution stage, sending corresponding work order information to a task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic diagram, and executing the next stage task by the task execution mechanism according to the work order information.
According to the task execution logic diagram, combining the current task execution stage and the task execution state corresponding to the task execution stage, sending corresponding work order information to a task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic diagram, and executing the next stage task by the task execution mechanism according to the work order information, wherein the method comprises the following steps:
the work order scheduling platform acquires the logic node positions of the task execution logic diagram of the task execution stage corresponding to the current execution mechanism and the task execution state corresponding to the task execution stage according to the task execution state of the current task execution stage and the task execution stage, and the logic node positions serve as current logic nodes;
acquiring a next execution logic node corresponding to the current logic node according to the task execution logic diagram and the current task logic position, and taking the next execution logic node as a target logic node;
extracting the task execution mechanisms participated in by the target logic node, and sending the work order information acquired by the previous task execution mechanism in the task execution logic after completing the periodic task to the next task execution mechanism according to the execution sequence and the execution logic of the task execution mechanisms in the task execution process, wherein the execution sequence and the execution logic comprise the task execution logic;
and after the next task execution mechanism acquires the work order information, executing the next-stage task according to the current task execution stage contained in the work order information and the task execution state corresponding to the task execution stage.
Further, the coordination scheduling condition of the work order scheduling platform is visually displayed by the IOC platform, and the method comprises the following steps:
the work order scheduling platform sends the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform;
the IOC platform extracts a task execution flow and a task execution logic diagram after receiving the task execution state and the coordination scheduling condition of each task execution mechanism, and visually displays the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
A property service data analysis system based on a work order scheduling platform, the property service data analysis system comprising:
the system comprises a sending and monitoring module, a work order scheduling platform and a work order monitoring module, wherein the sending and monitoring module is used for sending work order information generated by each task execution mechanism in task execution to the work order scheduling platform by the property service system, and the work order scheduling platform is used for setting and monitoring a monitoring time period for receiving the work order information by combining with a work order monitoring time period setting model; the work order information includes detailed task execution data at a task execution stage corresponding to a task execution flow node when each task execution mechanism reaches the task execution flow node, and specifically, the work order information includes task execution time information, task execution participant information, task execution content information, and task execution result information.
The scheduling module is used for acquiring the task execution state of each task execution mechanism by analyzing and identifying the data of the work order information after the work order scheduling platform receives the work order information, calling the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performing coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
and the display module is used for visually displaying the coordination scheduling condition of the work order scheduling platform by utilizing the IOC platform.
Further, the sending and monitoring module includes:
the work order information generation module is used for monitoring the staged work order information generated by each task execution mechanism in the task execution process in real time by the property service system; the task execution mechanism comprises an intelligent equipment execution mechanism, a routing inspection execution mechanism, a maintenance execution mechanism, a customer service execution mechanism and a hidden danger counting execution mechanism; the tasks comprise an intelligent equipment operation task, an inspection task, a maintenance task, a customer service task and a hidden danger counting task;
the data sending module is used for immediately sending the work order information to the work order scheduling platform;
the time period setting module is used for extracting all task execution flows of the property service system by the work order scheduling platform and setting a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flows by combining with a work order monitoring time period setting model; the work order monitoring time interval setting model is as follows:
Figure GDA0003956758830000041
Figure GDA0003956758830000042
wherein, T represents a monitoring time period corresponding to each task execution stage; t is 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; since the tasks in the property service system are executed cyclically and periodically, N represents the number of times of the nth execution corresponding to the task execution stage in the current execution; t is i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and the monitoring early warning module is used for carrying out early warning by the work order scheduling platform when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage.
Further, the scheduling module includes:
the marking module is used for marking the unique identification code for the task execution mechanism and marking the unique identification code for all the work order information generated by the task execution mechanism;
the database construction module is used for forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
the information extraction module is used for scanning the work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and the state determining module is used for determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information. The task execution state is determined according to the type of the task execution mechanism and the difference of the executed tasks, for example, the task execution state corresponding to the device running task of the intelligent device is as follows: run, shut down, and/or maintenance; the inspection task state is as follows: the inspection is finished and not finished; the maintenance task state is as follows: task incomplete, task complete and/or task overdue and unexecuted; the state of the customer service task is: the customer service is completed, the customer service is not completed and the customer satisfaction degree is reached; the states of the hidden danger counting task are hidden danger counting completion, hidden danger rectification completion and hidden danger counting incompletion.
Further, the scheduling module further comprises:
the logic diagram generation module is used for extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
and the coordination scheduling module is used for sending corresponding work order information to the task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic graph according to the task execution logic graph by combining the current task execution stage and the task execution state corresponding to the task execution stage, and the task execution mechanism executes the next stage task according to the work order information.
Wherein the logic diagram generation module comprises:
the process node extraction module is used for extracting all task execution processes of the property service system and task execution process nodes corresponding to each task execution process;
the logic diagram forming module is used for forming a task execution logic diagram corresponding to each task according to a task execution flow and task execution flow nodes, wherein the task execution logic diagram comprises the task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow;
and the attachment module is used for extracting the task execution mechanism which each task execution flow node participates in, and attaching the task execution mechanism to the task execution logic node corresponding to the task execution flow node.
Wherein the coordinated scheduling module comprises:
the current logic node acquisition module is used for acquiring the logic node positions of the task execution logic graph of the task execution stage corresponding to the current execution mechanism and the task execution state corresponding to the task execution stage according to the task execution state of the current task execution stage and the task execution stage, and the logic node positions are used as current logic nodes;
a target logic node obtaining module, configured to obtain, according to the task execution logic graph and in combination with the current task logic location, a next execution logic node corresponding to the current logic node according to task execution logic, and use the next execution logic node as a target logic node;
the mechanism extraction module is used for extracting the task execution mechanisms participating in the target logic node, and sending the work order information acquired by the previous task execution mechanism in the task execution logic after completing the periodic tasks to the next task execution mechanism according to the execution sequence and the execution logic of the task execution mechanisms in the task execution process, wherein the execution sequence and the execution logic comprise the task execution logic;
and the execution control module is used for executing the next-stage task according to the current task execution stage contained in the work order information and the task execution state corresponding to the task execution stage after the next task execution mechanism acquires the work order information.
Further, the display module comprises:
the information sending module is used for the work order scheduling platform to send the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform, wherein the task execution state and the coordination scheduling condition are obtained by identification;
and the visual display module is used for extracting a task execution flow and a task execution logic diagram after the IOC platform receives the task execution state and the coordination scheduling condition of each task execution mechanism, and carrying out visual display on the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
The invention has the beneficial effects that:
according to the property service data analysis method and system based on the work order scheduling platform, the work order information generated by each task execution mechanism in the task execution process of each stage is obtained, sent and called through the work order scheduling platform, so that automatic coordination scheduling among all task execution mechanisms in the property service system and/or all task execution mechanisms in the business system is achieved, and the task execution scheduling efficiency and scheduling accuracy of the task execution mechanisms are effectively improved. The problem that the error rate is high due to the fact that the proportion of manual participation in the real estate service task scheduling is too high is solved, and manual consumption can be reduced to the maximum extent. Meanwhile, the operation conditions and states of the work order scheduling platform and the property service system are displayed in real time in an IOC platform display mode, operation monitoring personnel can conveniently and directly observe the operation states of the system in real time, and supervision visualization performance and intuition are improved.
Drawings
FIG. 1 is a flow chart of a property service data analysis method of the present invention;
FIG. 2 is a system diagram of a property service data analysis system of the present invention;
FIG. 3 is a system block diagram of the property service data analysis system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a property service data analysis method based on a work order scheduling platform, which comprises the following steps of:
s1, a property service system sends work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for work order information reception;
s2, after receiving the work order information, the work order scheduling platform analyzes and identifies the data of the work order information to obtain the task execution state of each task execution mechanism, calls the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performs coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
and S3, visually displaying the coordination scheduling condition of the work order scheduling platform by using the IOC platform.
The working principle of the technical scheme is as follows: firstly, the property service system sends work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for receiving the work order information; the work order information includes detailed task execution data at a task execution stage corresponding to a task execution flow node when each task execution mechanism reaches the task execution flow node, and specifically, the work order information includes task execution time information, task execution participant information, task execution content information, and task execution result information. Then, after receiving the work order information, the work order scheduling platform analyzes and identifies the data of the work order information to obtain the task execution state of each task execution mechanism, calls the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performs coordinated scheduling on the task execution among the task execution mechanisms of the property service system; and finally, visually displaying the coordination scheduling condition of the work order scheduling platform by using the IOC platform.
Specifically, each task execution mechanism in the property service system executes tasks according to a task execution flow and task execution logic in the task execution process, and generates corresponding work order information at a task execution flow node. Therefore, in the process of executing tasks by each task execution mechanism, each task execution node generates work order information corresponding to the task execution node and sends the work order information to a work order scheduling platform. Because each task execution mechanism in the property service system can have cross operation among the task execution mechanisms in the task execution process, namely, the next task execution of a certain task execution mechanism needs other task execution mechanisms to complete a certain task and then can be started to execute, the work order scheduling platform is required to identify the corresponding task execution state of each task mechanism through the received work order information, and call the task execution mechanism which is participated in by the corresponding node of the task execution flow to the task execution mechanism which is participated in by the corresponding node of the task execution flow according to the task execution logic or the corresponding work order information generated by other task mechanisms at the corresponding node of the task execution flow. That is, the coordination and scheduling of task execution by each task mechanism in the property service system according to the task execution flow and the execution logic are realized by using the work order call of the work order scheduling platform and the work order information transmission of the corresponding task mechanism. Meanwhile, the work order scheduling platform sends the coordination and scheduling process of task execution of each task mechanism in the property service system according to the task execution flow and the execution logic to the IOC platform according to the stage state corresponding to the flow execution node for visual display.
The effect of the above technical scheme is: according to the property service data analysis method based on the work order scheduling platform, the work order scheduling platform obtains, sends and calls the work order information generated by each task execution mechanism in the task execution process of each stage to achieve automatic coordination scheduling among each task execution mechanism in the property service system and/or each task execution mechanism in the business system, and efficiency and scheduling accuracy of task execution scheduling of the task execution mechanisms are effectively improved. The problem that the error rate is high due to the fact that the property service task scheduling proportion is too high when people participate in the process is solved, and the manual consumption can be reduced to the maximum extent. Meanwhile, the operation conditions and states of the work order scheduling platform and the property service system are displayed in real time in an IOC platform display mode, operation monitoring personnel can conveniently observe the operation states of the system in real time and directly, and supervision visualization performance and intuition are improved.
In an embodiment of the present invention, a property service system sends work order information generated by each task execution mechanism during task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for receiving the work order information, including:
s101, monitoring periodic work order information generated by each task execution mechanism in the task execution process in real time by a property service system;
s102, immediately sending the work order information to the work order scheduling platform;
s103, the work order scheduling platform extracts all task execution flows of the property service system, and sets a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flows and a work order monitoring time period setting model; the work order monitoring time interval setting model is as follows:
Figure GDA0003956758830000081
Figure GDA0003956758830000082
wherein, T represents a monitoring time period corresponding to each task execution stage; t is 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; since the task in the property service system is to cyclically reciprocate the periodic executionThe N represents the corresponding times of the Nth execution corresponding to the task execution stage in the current execution; t is a unit of i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and S104, when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage, the work order scheduling platform performs early warning.
The working principle of the technical scheme is as follows: firstly, the property service system monitors the stage work order information generated by each task execution mechanism in the task execution process in real time; the task execution mechanism comprises an intelligent equipment execution mechanism, a routing inspection execution mechanism, a maintenance execution mechanism, a customer service execution mechanism and a hidden danger counting execution mechanism; the tasks comprise an intelligent equipment operation task, an inspection task, a maintenance task, a customer service task and a hidden danger counting task; then, the work order information is immediately sent to the work order scheduling platform; then, the work order scheduling platform extracts all task execution flows of the property service system, and sets a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flow and a work order monitoring time period setting model; and finally, when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage, the work order scheduling platform performs early warning.
The effect of the above technical scheme is as follows: by the method, the efficiency and the timeliness of acquiring each work order information from the property service system by the work order scheduling platform can be effectively improved. Meanwhile, the work order information is acquired according to the task execution flow, so that the tightness of acquiring the work order information can be effectively improved, and further, the problem that the work order information corresponding to the task execution stage is missed and is not found can be effectively prevented. Meanwhile, the work order information of the work order scheduling platform is received and monitored through the monitoring time period, so that the timeliness monitoring degree and the monitoring accuracy of obtaining the work order information in each task execution stage can be effectively improved. And the setting of the monitoring time period is carried out by combining the formula with the proposed time of each task execution stage, the matching between the setting of the monitoring time period and the actual execution situation of each task and the reasonability of the setting of the monitoring time period can be effectively improved, meanwhile, the monitoring time period setting provides enough and high-reasonability monitoring time delay generated by each task execution mechanism system along with the increase of time and the execution times of the tasks and the monitoring time delay corresponding to the redundant processing situation, the sufficient time delay duration can be ensured to be provided for the information transmission of the task execution work order, the condition of error early warning is prevented from occurring, the time delay duration can be shortened to the maximum extent, the problem that the abnormality of the work order information transmission and the task execution mechanism execution task cannot be found in time due to the overlong time delay duration setting is prevented, the problem of the abnormality finding timeliness is further reduced, and the timeliness of the abnormality finding is effectively improved through the setting of the time delay duration.
In one embodiment of the present invention, the acquiring of the task execution state of each task execution mechanism by data analysis and identification of the work order information includes:
step A201, marking a unique identification code for the task execution mechanism, and marking the unique identification code for all work order information generated by the task execution mechanism;
step A202, forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
step A203, scanning work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and step A204, determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information.
The working principle of the technical scheme is as follows: firstly, marking a unique identification code on the task execution mechanism, and marking the unique identification code on all work order information generated by the task execution mechanism; then, forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark; then, scanning work order information and extracting task execution time information, task execution content information and task execution result information in the work order information; and finally, determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information. The task execution state is determined according to the type of the task execution mechanism and the difference of the executed tasks, for example, the task execution state corresponding to the device running task of the intelligent device is as follows: operation, shutdown, and/or maintenance; the inspection task state is as follows: the inspection is finished and not finished; the maintenance task state is as follows: task incomplete, task complete and/or task overdue and unexecuted; the state of the customer service task is: customer service completion, customer service incompletion and customer satisfaction; the states of the hidden danger counting task are hidden danger counting completion, hidden danger rectification completion and hidden danger counting incompletion.
The effect of the above technical scheme is: through the mode that above-mentioned unique identification code mark and work order information database were established, can effectively improve the management rationality and the management tightness of the work order information that every task execution mechanism corresponds, make things convenient for the convenience and the processing efficiency of traceing back to the work order information of follow-up trouble retrospection in-process, prevent the storage confusion that work order information collective storage leads to, the supervision confusion easily leads to the problem emergence that work order information was transferred and is taken the mistake.
One embodiment of the invention calls the work order information required by the task execution mechanism to execute the task to the corresponding task execution mechanism, and carries out coordination scheduling on the task execution among the task execution mechanisms of the property service system, and the method comprises the following steps:
step B201, extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
the method comprises the following steps of extracting all task execution flows of a property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes, wherein the method comprises the following steps:
step B2011, all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow are extracted;
step B2012, a task execution logic diagram corresponding to each task is formed according to the task execution flow and the task execution flow nodes, wherein the task execution logic diagram comprises the task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow;
and step B2013, extracting the task execution mechanism participated by each task execution flow node, and attaching the task execution mechanism to the task execution logic node corresponding to the task execution flow node.
And step B202, according to the task execution logic diagram, combining the current task execution stage and the task execution state corresponding to the task execution stage, sending corresponding work order information to a task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic diagram, and executing the next stage task by the task execution mechanism according to the work order information.
According to the task execution logic diagram, in combination with the current task execution stage and the task execution state corresponding to the task execution stage, sending corresponding work order information to a task execution mechanism involved in the task execution logic node on each task execution logic node of the task execution logic diagram, wherein the task execution mechanism executes the next stage of task according to the work order information, and the method comprises the following steps:
step B2021, the work order scheduling platform acquires the logical node positions of the task execution logic diagram of the task execution stage corresponding to the current execution mechanism and the task execution state corresponding to the task execution stage according to the task execution state of the current task execution stage and the task execution stage, and takes the logical node positions as current logical nodes;
step B2022, obtaining a next execution logic node corresponding to the current logic node according to the task execution logic diagram and the current task logic position, and taking the next execution logic node as a target logic node;
step B2023, extracting the task execution mechanisms involved in the target logic nodes, and sending the work order information acquired by the previous task execution mechanism in the task execution logic for completing the periodic tasks to the next task execution mechanism according to the execution sequence and the execution logic of the task execution mechanisms in the task execution process, wherein the execution sequence and the execution logic comprise the task execution logic;
step B2024, after the next task execution mechanism obtains the work order information, the next task execution mechanism executes the task of the next stage according to the current task execution stage included in the work order information and the task execution state corresponding to the task execution stage.
The working principle of the technical scheme is as follows: extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow; forming a task execution logic diagram corresponding to each task according to a task execution flow and task execution flow nodes, wherein the task execution logic diagram comprises the task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow; and extracting a task execution mechanism which each task execution flow node participates in, and attaching the task execution mechanism to a task execution logic node corresponding to the task execution flow node. The work order scheduling platform acquires the logic node positions of the task execution logic graph of the task execution stage corresponding to the current execution mechanism and the task execution state corresponding to the task execution stage according to the task execution state of the current task execution stage and the task execution state corresponding to the task execution stage, and the logic node positions are used as current logic nodes; acquiring a next execution logic node corresponding to the current logic node according to the task execution logic diagram and the current task logic position, and taking the next execution logic node as a target logic node; extracting the task execution mechanisms participated in by the target logic node, and sending the work order information acquired by the previous task execution mechanism in the task execution logic after completing the periodic task to the next task execution mechanism according to the execution sequence and the execution logic of the task execution mechanisms in the task execution process, wherein the execution sequence and the execution logic comprise the task execution logic; and after the next task execution mechanism acquires the work order information, executing the next-stage task according to the current task execution stage contained in the work order information and the task execution state corresponding to the task execution stage.
The effect of the above technical scheme is: by combining the task execution flow and the task execution flow node to generate the task execution logic, the corresponding logic node and the execution logic guide line, the logic accuracy and the scheduling accuracy of the work order scheduling platform for scheduling the property service system can be effectively improved, the efficiency of coordinated scheduling and the operation stability are further effectively improved, and the error occurrence rate and the unreasonable scheduling occurrence rate of task scheduling and execution can be further effectively reduced because the work order scheduling platform is based on the task execution flow and the task execution logic. And further effectively improving the stability and the scheduling rationality of the real-time scheduling operation of the work order scheduling platform.
In an embodiment of the present invention, the visual display of the coordination scheduling condition of the work order scheduling platform by using the IOC platform includes:
s301, the work order scheduling platform sends the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform, wherein the task execution state and the coordination scheduling condition are obtained through recognition;
s302, after receiving the task execution state and the coordination scheduling condition of each task execution mechanism, the IOC platform extracts a task execution flow and a task execution logic diagram, and visually displays the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
The working principle of the technical scheme is as follows: firstly, the work order scheduling platform sends the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform, wherein the task execution state and the coordination scheduling condition are obtained through identification; and then, after receiving the task execution state and the coordination scheduling condition of each task execution mechanism, the IOC platform extracts a task execution flow and a task execution logic diagram, and visually displays the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
The effect of the above technical scheme is: through the mode, the operation condition and the state of the work order scheduling platform and the property service system are displayed in real time in an IOC platform display mode, the operation state of the system can be conveniently and directly observed by operation monitoring personnel in real time, and the supervision visualization performance and the intuition are improved.
The embodiment of the invention provides a property service data analysis system based on a work order scheduling platform, which comprises the following components:
the system comprises a sending and monitoring module, a work order scheduling platform and a work order monitoring module, wherein the sending and monitoring module is used for sending work order information generated by each task execution mechanism in task execution to the work order scheduling platform by the property service system, and the work order scheduling platform is used for setting and monitoring a monitoring time period for receiving the work order information by combining with a work order monitoring time period setting model;
the scheduling module is used for acquiring the task execution state of each task execution mechanism by analyzing and identifying the data of the work order information after the work order scheduling platform receives the work order information, calling the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performing coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
and the display module is used for visually displaying the coordination scheduling condition of the work order scheduling platform by utilizing the IOC platform.
The working principle of the technical scheme is as follows: firstly, a property service system is controlled by a sending and monitoring module to send work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform is combined with a work order monitoring time period setting model to set and monitor a monitoring time period for receiving the work order information; the work order information includes detailed task execution data at a task execution stage corresponding to a task execution flow node when each task execution mechanism reaches the task execution flow node, and specifically, the work order information includes task execution time information, task execution participant information, task execution content information, and task execution result information. Then, after the work order information is received by the work order scheduling platform through the scheduling module, the task execution state of each task execution mechanism is obtained through data analysis and identification of the work order information, the work order information required by the task execution mechanism to execute the task is called to the corresponding task execution mechanism, and task execution among the task execution mechanisms of the property service system is coordinated and scheduled; and finally, visually displaying the coordination scheduling condition of the work order scheduling platform by using the IOC platform through a display module.
Specifically, each task execution mechanism in the property service system executes tasks according to a task execution flow and task execution logic in the task execution process, and generates corresponding work order information at a task execution flow node. Therefore, in the process of executing tasks by each task execution mechanism, each task execution node generates work order information corresponding to the task execution node and sends the work order information to a work order scheduling platform. Because each task execution mechanism in the property service system has cross operation among each task execution mechanism in the execution process of each task, namely, the next task execution of a certain task execution mechanism needs to be started and executed after other task execution mechanisms finish a certain task, the work order scheduling platform is required to identify the received work order information, identify the corresponding task execution state of each task mechanism through the work order information, and call the corresponding work order information generated by the task execution mechanism or other task mechanisms needed by the task execution starting to the task execution mechanism in which the corresponding task execution flow node participates according to the task execution logic at the corresponding node of the task execution flow. That is, the coordination and scheduling of task execution by each task mechanism in the property service system according to the task execution flow and the execution logic are realized by using the work order call of the work order scheduling platform and the work order information transmission of the corresponding task mechanism. Meanwhile, the work order scheduling platform sends the coordination and scheduling process of task execution of each task mechanism in the property service system according to the task execution flow and the execution logic to the IOC platform according to the stage state corresponding to the flow execution node for visual display.
The effect of the above technical scheme is as follows: according to the property service data analysis system based on the work order scheduling platform, the work order information generated by each task execution mechanism in the task execution process of each stage is obtained, sent and called through the work order scheduling platform, so that automatic coordination scheduling among the task execution mechanisms in the property service system and/or the task execution mechanisms in the business system is achieved, and the task execution scheduling efficiency and scheduling accuracy of the task execution mechanisms are effectively improved. The problem that the error rate is high due to the fact that the proportion of manual participation in the real estate service task scheduling is too high is solved, and manual consumption can be reduced to the maximum extent. Meanwhile, the operation conditions and states of the work order scheduling platform and the property service system are displayed in real time in an IOC platform display mode, operation monitoring personnel can conveniently observe the operation states of the system in real time and directly, and supervision visualization performance and intuition are improved.
In an embodiment of the present invention, the sending and monitoring module includes:
the work order information generation module is used for monitoring the staged work order information generated by each task execution mechanism in the task execution process in real time by the property service system;
the data sending module is used for immediately sending the work order information to the work order scheduling platform;
the time period setting module is used for extracting all task execution flows of the property service system by the work order scheduling platform and setting a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flow by combining a work order monitoring time period setting model; the work order monitoring time interval setting model comprises the following steps:
Figure GDA0003956758830000141
Figure GDA0003956758830000142
wherein, T represents a monitoring time period corresponding to each task execution stage; t is a unit of 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; since the tasks in the property service system are executed cyclically and periodically, N represents the number of times of the nth execution corresponding to the task execution stage in the current execution; t is i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and the monitoring early warning module is used for carrying out early warning by the work order scheduling platform when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage.
The working principle of the technical scheme is as follows: firstly, controlling a property service system to monitor the stage work order information generated by each task execution mechanism in the task execution process in real time through a work order information generation module; the task execution mechanism comprises an intelligent equipment execution mechanism, a routing inspection execution mechanism, a maintenance execution mechanism, a customer service execution mechanism and a hidden danger counting execution mechanism; the tasks comprise an intelligent equipment operation task, an inspection task, a maintenance task, a customer service task and a hidden danger counting task; then, a data sending module is used for immediately sending the work order information to the work order scheduling platform; then, a time period setting module is adopted to control the work order scheduling platform to extract all task execution flows of the property service system, and monitoring time periods corresponding to each task execution stage are set according to the task execution time periods corresponding to the task execution flow nodes specified in the task execution flows and by combining a work order monitoring time period setting model; and finally, when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage through the monitoring and early warning module, the work order scheduling platform carries out early warning.
The effect of the above technical scheme is as follows: by the method, the efficiency and timeliness of the work order scheduling platform for acquiring the information of each work order from the property service system can be effectively improved. Meanwhile, the tightness of acquiring the work order information can be effectively improved by acquiring the work order information according to the task execution flow, and further, the problem that the work order information corresponding to the task execution stage is missed and is not found can be effectively prevented. Meanwhile, the work order information of the work order scheduling platform is received and monitored through the monitoring time period, so that the timeliness monitoring degree and the monitoring accuracy of obtaining the work order information in each task execution stage can be effectively improved. And the setting of the monitoring time period is carried out by combining the formulated time of each task execution stage through the formula, so that the matching between the setting of the monitoring time period and the actual execution situation of each task and the reasonability of the setting of the monitoring time period can be effectively improved, meanwhile, the monitoring time period setting provides enough and high-reasonability monitoring delay corresponding to the delay and redundancy processing situation of each task execution mechanism system along with the increase of time and the execution task frequency, the sufficient delay time duration can be ensured to be provided for the information transmission of the task execution work order, the condition of false early warning is prevented from occurring, the provision of the delay time duration can be maximally shortened, the problem that the abnormality of the work order information transmission and the task execution mechanism execution task cannot be found in time due to the overlong setting of the delay time duration is prevented, the problem of the abnormality finding timeliness is further reduced, and the timeliness of the abnormality finding is effectively improved through the setting of the delay time duration.
In one embodiment of the present invention, the scheduling module includes:
the marking module is used for marking the unique identification code for the task execution mechanism and marking the unique identification code for all the work order information generated by the task execution mechanism;
the database construction module is used for forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
the information extraction module is used for scanning the work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and the state determining module is used for determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information.
The working principle of the technical scheme is as follows: firstly, marking a unique identification code for the task execution mechanism through a marking module, and marking the unique identification code for all work order information generated by the task execution mechanism; then, a database construction module is used for forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark; then, scanning work order information through an information extraction module and extracting task execution time information, task execution content information and task execution result information in the work order information; and finally, determining the current task execution stage and the task execution state corresponding to the task execution stage by using a state determination module according to the task execution time information, the task execution content information and the task execution result information. The task execution state is determined according to the type of the task execution mechanism and the difference of the executed tasks, for example, the task execution state corresponding to the device running task of the intelligent device is as follows: run, shut down, and/or maintenance; the inspection task state is as follows: the inspection is finished and not finished; the maintenance task state is as follows: task incomplete, task complete and/or task overdue and unexecuted; the state of the customer service task is: the customer service is completed, the customer service is not completed and the customer satisfaction degree is reached; the states of the hidden danger counting task are hidden danger counting completion, hidden danger rectification completion and hidden danger counting incompletion.
The effect of the above technical scheme is as follows: through the mode that above-mentioned unique identification code mark and work order information database were established, can effectively improve the management rationality and the management tightness of the work order information that every task execution mechanism corresponds, make things convenient for the convenience and the processing efficiency of traceing back to the work order information of follow-up trouble retrospection in-process, prevent the storage confusion that work order information collective storage leads to, the supervision confusion easily leads to the problem emergence that work order information was transferred and is taken the mistake.
In an embodiment of the present invention, the scheduling module further includes:
the logic diagram generation module is used for extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
and the coordination scheduling module is used for sending corresponding work order information to the task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic graph according to the task execution logic graph by combining the current task execution stage and the task execution state corresponding to the task execution stage, and the task execution mechanism executes the task of the next stage according to the work order information.
Wherein the logic diagram generation module comprises:
the process node extraction module is used for extracting all task execution processes of the property service system and task execution process nodes corresponding to each task execution process;
the logic diagram forming module is used for forming a task execution logic diagram corresponding to each task according to a task execution flow and task execution flow nodes, wherein the task execution logic diagram comprises the task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow;
and the attachment module is used for extracting the task execution mechanism which each task execution flow node participates in, and attaching the task execution mechanism to the task execution logic node corresponding to the task execution flow node.
Wherein the coordinated scheduling module comprises:
the current logic node acquisition module is used for acquiring the logic node positions of the task execution logic graph of the task execution stage corresponding to the current execution mechanism and the task execution state corresponding to the task execution stage according to the task execution state of the current task execution stage and the current task execution stage by the work order scheduling platform, and taking the logic node positions as current logic nodes;
a target logic node obtaining module, configured to obtain, according to the task execution logic graph and in combination with the current task logic location, a next execution logic node corresponding to the current logic node according to task execution logic, and use the next execution logic node as a target logic node;
the mechanism extraction module is used for extracting the task execution mechanisms participating in the target logic node, and sending the work order information acquired by the previous task execution mechanism in the task execution logic after completing the periodic tasks to the next task execution mechanism according to the execution sequence and the execution logic of the task execution mechanisms in the task execution process, wherein the execution sequence and the execution logic comprise the task execution logic;
and the execution control module is used for executing the next-stage task according to the current task execution stage contained in the work order information and the task execution state corresponding to the task execution stage after the next task execution mechanism acquires the work order information.
The working principle of the technical scheme is as follows: firstly, extracting all task execution flows of a property service system and task execution flow nodes corresponding to each task execution flow through a logic diagram generation module, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes; and then, a coordinated scheduling module is adopted to combine the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution logic diagram, corresponding work order information is sent to a task execution mechanism which participates in the task execution logic node on each task execution logic node of the task execution logic diagram, and the task execution mechanism executes the next stage of task according to the work order information.
The operation process of the logic diagram generation module comprises the following steps:
firstly, extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow by using a flow node extraction module;
then, a logic graph forming module is adopted to form a task execution logic graph corresponding to each task according to a task execution flow and task execution flow nodes, wherein the task execution logic graph comprises task execution logic nodes corresponding to the task execution flow nodes and execution logic guide lines corresponding to the obtained task execution flow;
and finally, extracting a task execution mechanism participated by each task execution flow node through an attachment module, and attaching the task execution mechanism to a task execution logic node corresponding to the task execution flow node.
The operation process of the coordinated scheduling module comprises the following steps:
firstly, a current logic node acquisition module is used for controlling the work order scheduling platform to acquire the logic node positions of a task execution logic graph of a task execution stage corresponding to a current execution mechanism and a task execution state corresponding to the task execution stage according to the task execution stage and the task execution state corresponding to the task execution stage, and the logic node positions are used as current logic nodes;
then, acquiring a next execution logic node corresponding to the current logic node according to the task execution logic by combining the current task logic position with the task execution logic diagram through a target logic node acquisition module, and taking the next execution logic node as a target logic node;
subsequently, a mechanism extraction module is adopted to extract the task execution mechanism which the target logic node participates in, and according to the execution sequence and the execution logic of the task execution mechanism in the task execution process, which are contained in the task execution logic, the work order information acquired by the previous task execution mechanism completing the periodic task in the task execution logic is sent to the next task execution mechanism;
and finally, controlling the next task execution mechanism to execute the next-stage task according to the current task execution stage contained in the work order information and the task execution state corresponding to the task execution stage after the work order information is acquired by the next task execution mechanism through the execution control module.
The effect of the above technical scheme is as follows: by combining the task execution flow and the task execution flow node to generate the task execution logic, the corresponding logic node and the execution logic guide line, the logic accuracy and the scheduling accuracy of the property service system scheduling performed by the work order scheduling platform can be effectively improved, the efficiency and the operation stability of coordinated scheduling are further effectively improved, and the error occurrence rate and the unreasonable scheduling occurrence rate of task scheduling execution can be further effectively reduced due to the fact that the work order scheduling platform is based on the task execution flow and the task execution logic. And further effectively improving the stability and the scheduling rationality of the real-time scheduling operation of the work order scheduling platform.
In one embodiment of the invention, the display module comprises:
the information sending module is used for the work order scheduling platform to send the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform, wherein the task execution state and the coordination scheduling condition are obtained by identification;
and the visual display module is used for extracting a task execution flow and a task execution logic diagram after the IOC platform receives the task execution state and the coordination scheduling condition of each task execution mechanism, and carrying out visual display on the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
The working principle of the technical scheme is as follows: firstly, an information sending module controls a work order scheduling platform to send task execution states and coordination scheduling conditions of all task execution mechanisms to an IOC platform, wherein the task execution states and the coordination scheduling conditions are obtained through recognition; and then, controlling the IOC platform to extract a task execution flow and a task execution logic diagram after receiving the task execution state and the coordination scheduling condition of each task execution mechanism by using a visual display module, and visually displaying the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
The effect of the above technical scheme is as follows: through the mode, the operation condition and the state of the work order scheduling platform and the property service system are displayed in real time in an IOC platform display mode, the operation state of the system can be conveniently and directly observed by operation monitoring personnel in real time, and the supervision visualization performance and the intuition are improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A property service data analysis method based on a work order scheduling platform is characterized by comprising the following steps:
the property service system sends work order information generated by each task execution mechanism in task execution to a work order scheduling platform, and the work order scheduling platform combines a work order monitoring time period setting model to set and monitor a monitoring time period for receiving the work order information;
after receiving the work order information, the work order scheduling platform analyzes and identifies the data of the work order information to obtain the task execution state of each task execution mechanism, calls the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performs coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
performing visual display on the coordination scheduling condition of the work order scheduling platform by using the IOC platform;
the work order scheduling platform combines the work order monitoring time interval setting model to carry out monitoring time interval setting and monitoring to work order information reception, and the work order scheduling platform comprises:
s101, monitoring periodic work order information generated by each task execution mechanism in the task execution process in real time by a property service system;
s102, immediately sending the work order information to the work order scheduling platform;
s103, the work order scheduling platform extracts all task execution flows of the property service system, and sets a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flows and a work order monitoring time period setting model; the work order monitoring time interval setting model comprises the following steps:
Figure FDA0003956758820000011
Figure FDA0003956758820000012
wherein, T represents a monitoring time period corresponding to each task execution stage; t is a unit of 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; since the tasks in the property service system are executed cyclically and periodically, N represents the number of times of the nth execution corresponding to the task execution stage in the current execution; t is i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and S104, when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage, the work order scheduling platform performs early warning.
2. The property service data analysis method of claim 1, wherein identifying and obtaining the task execution status of each task execution mechanism through data analysis of the work order information comprises:
marking a unique identification code for the task execution mechanism, and marking the unique identification code for all work order information generated by the task execution mechanism;
forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
scanning work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information.
3. The property service data analysis method of claim 1, wherein the step of calling the work order information required by the task execution mechanism to execute the task to the corresponding task execution mechanism to perform coordinated scheduling on the task execution among the task execution mechanisms of the property service system comprises:
extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
and according to the task execution logic diagram, combining the current task execution stage and the task execution state corresponding to the task execution stage, sending corresponding work order information to a task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic diagram, and executing the next stage task by the task execution mechanism according to the work order information.
4. The property service data analysis method of claim 1, wherein the step of visually displaying the coordinated scheduling condition of the work order scheduling platform by using the IOC platform comprises the following steps:
the work order scheduling platform sends the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform;
the IOC platform extracts a task execution flow and a task execution logic diagram after receiving the task execution state and the coordination scheduling condition of each task execution mechanism, and visually displays the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
5. A property service data analysis system based on a work order scheduling platform, the property service data analysis system comprising:
the system comprises a sending and monitoring module, a work order scheduling platform and a work order monitoring module, wherein the sending and monitoring module is used for sending work order information generated by each task execution mechanism in task execution to the work order scheduling platform by the property service system, and the work order scheduling platform is used for setting and monitoring a monitoring time period for receiving the work order information by combining with a work order monitoring time period setting model;
the scheduling module is used for acquiring the task execution state of each task execution mechanism by analyzing and identifying the data of the work order information after the work order scheduling platform receives the work order information, calling the work order information required by the task execution mechanism to the corresponding task execution mechanism, and performing coordinated scheduling on the task execution among the task execution mechanisms of the property service system;
the display module is used for visually displaying the coordination scheduling condition of the work order scheduling platform by utilizing the IOC platform;
the work order information generation module is used for monitoring the staged work order information generated by each task execution mechanism in the task execution process in real time by the property service system;
the data sending module is used for immediately sending the work order information to the work order scheduling platform;
the time period setting module is used for extracting all task execution flows of the property service system by the work order scheduling platform and setting a monitoring time period corresponding to each task execution stage according to a task execution time period corresponding to a task execution flow node specified in the task execution flow by combining a work order monitoring time period setting model; the work order monitoring time interval setting model is as follows:
Figure FDA0003956758820000031
Figure FDA0003956758820000032
wherein, T represents a monitoring time period corresponding to each task execution stage; t is a unit of 0 Representing a task execution time period corresponding to a task execution flow node specified in the task execution flow; n represents the corresponding execution times of the current task execution stage; due to anybody in the property service systemThe tasks are executed in a cyclic reciprocating periodic mode, so that N represents the number of times of the Nth execution corresponding to the task execution stage in the current execution; t is a unit of i The time length for receiving the actual receiving of the corresponding work order information by the work order scheduling platform when the current task execution stage is executed for the ith time is represented;
and the monitoring early warning module is used for carrying out early warning by the work order scheduling platform when the corresponding work order information is not received in the monitoring time period corresponding to each task execution stage.
6. The property service data analysis system of claim 5, wherein the scheduling module comprises:
the marking module is used for marking the unique identification code for the task execution mechanism and marking the unique identification code for all the work order information generated by the task execution mechanism;
the database construction module is used for forming a work order information database corresponding to the task execution mechanism according to the unique identification code mark;
the information extraction module is used for scanning the work order information and extracting task execution time information, task execution content information and task execution result information in the work order information;
and the state determining module is used for determining the current task execution stage and the task execution state corresponding to the task execution stage according to the task execution time information, the task execution content information and the task execution result information.
7. The property service data analysis system of claim 5, wherein the scheduling module further comprises:
the logic diagram generation module is used for extracting all task execution flows of the property service system and task execution flow nodes corresponding to each task execution flow, and forming a task execution logic diagram by using the task execution flows and the task execution flow nodes;
and the coordination scheduling module is used for sending corresponding work order information to the task execution mechanism which the task execution logic node participates in on each task execution logic node of the task execution logic graph according to the task execution logic graph by combining the current task execution stage and the task execution state corresponding to the task execution stage, and the task execution mechanism executes the next stage task according to the work order information.
8. The property service data analysis system of claim 5, wherein the presentation module comprises:
the information sending module is used for the work order scheduling platform to send the task execution state and the coordination scheduling condition of each task execution mechanism to the IOC platform, wherein the task execution state and the coordination scheduling condition are obtained by identification;
and the visual display module is used for extracting a task execution flow and a task execution logic diagram after the IOC platform receives the task execution state and the coordination scheduling condition of each task execution mechanism, and carrying out visual display on the task execution state and the coordination scheduling condition of each task execution mechanism by combining the task execution flow and the task execution logic diagram.
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