CN112162969B - Task management system and method - Google Patents
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Abstract
The invention relates to a task management system and method, comprising ephemeris data management, task management, data panorama fusion, outfield station task management and comprehensive management; the ephemeris data management mainly comprises the steps of generating antenna guiding data, and the task management comprises task template editing, task alarming, task state information, historical task inquiring and task executing engines; the data panoramic fusion comprises data normalization, processing, data and migration, the task management of the outfield station comprises task editing, task delivery, task state information and historical task inquiry, and the comprehensive management comprises antenna data acquisition, meteorological data acquisition, lightning early warning, equipment control, antenna control and environment monitoring. The steps are as follows: automated tasks, task template management, specific task management processes, task engine control, alarm information, monitoring, lightning early warning processes, data processing, integration of regular flows and the like. The invention has the advantages of diversified data acquisition and evaluation, less manual intervention and high accuracy.
Description
Technical Field
The invention belongs to the technical field of system task management, and particularly relates to a task management system and method.
Background
The existing task management system mainly adopts the thought of an equipment resource pool, and all software and hardware equipment are placed in the equipment resource pool for centralized management, so that flexible collocation and flexible use can be realized. Comprising the following steps:
task templates: different software and hardware equipment resources are selected through the equipment resource pool to create task templates, and different kinds of task templates can be created according to different equipment resource combinations; when the task is created, the task can be quickly created and issued by selecting a task template;
task engine: a task engine is established through a multithreading technology, the issued task is managed, the multithreading can judge whether the task starts to be executed or not and whether the task executing process is stopped or not according to the task executing time, and when information such as alarm, abnormality, lightning early warning and the like occurs in equipment, the task engine can judge whether the current running task needs to be terminated or prompt an operator to manually judge whether the task executing is interfered or not according to conditions;
and the RabbitMQ communication middleware is in message communication with service scheduling software, integrated display software, dynamic visualization software and the like.
The main disadvantages are that: in the task execution process, information such as a task execution state, task execution time and the like cannot be checked in real time, and current state, antenna occupation time and the like cannot be checked. The task state and the task process cannot be monitored in real time, the task is wrong or a data abnormality worker cannot be timely prompted, the system cannot automatically judge reasons of the task abnormality, such as equipment abnormality, network environment fault or operating system abnormality, and the task execution condition and the acquired data quality cannot be known after the task is finally executed. At present, meteorological data is not accessed, task data cannot be related to the meteorological data and calibration data, and the data is lack of diversified evaluation. The manual operation and the manual intervention are more, and the data integrity and the data acquisition accuracy are greatly reduced.
Disclosure of Invention
The invention aims to solve the problems and provide a task management system and method with less manual intervention and high accuracy for diversified data acquisition and evaluation.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a task management system, comprising: ephemeris data management, task management, data panorama fusion, and outfield station task management and comprehensive management;
the ephemeris data management is mainly used for generating antenna guiding data, and the antenna guiding data is automatically generated according to the ephemeris data when a task is created and provided for an antenna control system to use;
the task management comprises task template editing, task alarming, task state information, historical task inquiring and task executing engines;
the data panorama fusion comprises data regularity, data processing, data cleaning and data migration,
the task management of the external station comprises task editing, task issuing, task state information and historical task inquiry,
the comprehensive management comprises antenna data acquisition, meteorological data acquisition, lightning early warning, equipment control, antenna control and environment monitoring.
Further, the task management supports the creation of a 40 m antenna task, a 7.3L/S antenna task, a 7.3C antenna task template, the modification of the task template and the editing of the task template; the task template comprises the task type, the task flow and the antennas, equipment and parameters required to be used in the task, and can quickly create a new task through the task template.
Furthermore, the comprehensive management decomposes tasks and calls different equipment interface control equipment and antennas according to task setting and parameters; collecting data files through radio frequency or intermediate frequency signals acquired by tasks, and cleaning the format abnormal files and performing time marking operation on the data; collecting signal level, antenna pitching and azimuth data, and calling a monitoring algorithm according to the setting in the task execution process; and monitoring the data of the environment monitoring device, and automatically suspending the task execution process when lightning early warning occurs, and controlling the PDU to power off or offline corresponding equipment.
Furthermore, the data panorama fusion fuses and normalizes task acquisition data, meteorological data, calibration data, antenna pitching, azimuth data and signal level data, associates the data and transfers the data to a file server.
Furthermore, the external station task management supports planning, task delivery, state collection, abnormal condition processing and alarming of an external station monitoring task, and checking task execution feedback.
The task management method of the system comprises the following steps:
s1: automating a task flow;
s2: task template management flow;
s3: a specific task management flow;
s4: task engine control flow;
s5: task alarm information flow;
s6: task monitoring flow;
s7: a lightning early warning process;
s8: a data processing flow;
s9: data fusion regular flow;
s10: an external station task flow;
s11: task management timing flows.
Further, the specific task management flow includes the following steps:
1) Creating a task flow:
(1) selecting a task template;
(2) modifying task parameters;
(3) selecting an ephemeris file;
(4) setting task planning time;
(5) submitting task information to a task engine;
(6) the task engine stores the created task information into a database;
2) Modifying the task flow:
(1) modifying task parameters;
(2) modifying task plan execution time;
(3) confirming whether to modify task information;
(4) the return is not modified;
(5) confirming modification and submitting modification information to a task engine;
(6) the task engine modifies task information in the database;
3) Deleting the task flow:
(1) confirming whether to delete;
(2) if the return is not deleted;
(3) submitting deletion information to a task engine after confirming deletion;
(4) the task engine deletes the task data from the database.
Further, the specific time sequence flow of task management includes the following steps:
(1) creating a task by a user;
(2) task management generates antenna guidance data according to tasks;
(3) the task management controls the antenna and other devices in the task through monitoring control;
(4) the monitoring control returns the equipment data to the data panorama fusion;
(5) the data panoramic fusion cleans and fuses the data collected in the task, and stores the data into a database and file service;
(6) the data panorama fusion informs service scheduling software of signal quality evaluation scheduling;
(7) collecting equipment state information by comprehensive management, and sending equipment alarm information to task management;
(8) the task management sends out an alarm prompt to the user;
(9) comprehensively managing and receiving lightning early warning information;
the comprehensive management of the task management automatically pauses the task execution process, and controls the PDU to power off or take off the corresponding device;
11. the user formulates the task management from the external station to the external station;
12. the task management of the external station issues a task to the external station;
13. the outfield station returns task execution feedback;
14. the task management of the outstation returns task execution feedback to the user.
Further, the automated task flow includes the steps of:
(1) creating task list information by a task;
(2) the task engine automatically judges task execution conditions, automatically splits the task when the execution conditions are met, and gives a device control instruction in the split task to the device control;
(3) the equipment control transmits a control instruction to the antenna and various equipment;
(4) the antenna tracks and locks the monitoring target, if the locking is successful, the locking success information is returned to the task engine, and the task engine controls the related equipment of the acquisition equipment to acquire data;
(5) the task starts and simultaneously data processing/fusion automatically collects the signal level, pitching and azimuth data of the antenna, automatically collects meteorological data, electromagnetic environment data and video data, and automatically cleans the task collected data; after the task is executed, the data processing/fusion carries out regular packaging on the antenna data, the meteorological data and the monitoring data acquired in the task execution, packages the data acquired in the whole task execution, and automatically transfers the packaged acquired data to a database and a file server;
(6) after the task is completed, notifying service scheduling software that data evaluation can be performed;
(7) the antenna and related equipment return equipment state information in real time, the equipment state is automatically prompted according to the equipment state information, if the antenna and the equipment are in alarm or abnormal, a user is automatically prompted, and corresponding operation or task stopping is performed according to a strategy;
(8) the device control returns the state information of the device related to the task engine;
(9) when the antenna health is less than 60, automatically suspending the current task;
if the lightning early warning device sends out lightning early warning, the task engine automatically pauses the task, controls the PDU to cut off the power supply of the corresponding equipment or to take the corresponding equipment off line, and automatically controls the antenna to point to a safe position.
Further, the data fusion rule flow comprises the following steps:
(1) collecting data, meteorological data, antenna signal level, pitching and azimuth data, and converging the data into data fusion;
(2) task management provides task information to data fusion;
(3) fusing the data and the task information until the data are fused;
(4) the fused data files are regulated to a specified directory of a file server;
(5) and storing the fused data information and the fused index into a database.
Compared with the prior art, the invention has the beneficial effects that:
the invention can effectively solve the problem of flexibility of equipment resources through the equipment resource pool, and can add, delete, replace and the like to the existing equipment; the device can be managed in detail, including the manufacturer detail of the device, the installation position detail of the device, the IP address of the device, the related data management of the device and the like;
the task flexibility and the high efficiency can be effectively solved through the task templates, templates of various tasks can be configured through selecting different devices, and the tasks can be quickly created through the templates; the task engine can solve the task automation problem, reduce manual intervention, subscribe the planned task through the template, and do not need manual duty;
the RabbitMQ does not need to configure ports, receivers, senders and the like with complex configurations like TCP and UDP, and only needs to publish and subscribe messages by specifying routing key values, so that the complexity of development, configuration and use is reduced.
The task management system and the task management method can check the information such as the task execution state, the task execution time and the like in real time in the task execution process, and can check the current state, the antenna occupation time and the like. The task state and the task process are monitored in real time, a worker with an error or abnormal data can be timely prompted, the system can also automatically judge the reasons of the abnormal task, such as equipment abnormality, network environment fault or operating system abnormality, and the task execution condition and the acquired data quality can be known after the task is finally executed. And meanwhile, the meteorological data is accessed, the task data is related to the meteorological data and calibration data, and the data is subjected to diversified evaluation. The manual operation and the manual intervention are reduced, and the data integrity and the data acquisition accuracy are ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only for more clearly illustrating the embodiments of the present invention or the technical solutions in the prior art, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a task management composition diagram of the present invention;
FIG. 2 is an exploded view of the task management function of the present invention;
FIG. 3 is a flow chart of an automated task of the present invention;
FIG. 4 is a flow chart of task management embodying the present invention;
FIG. 5 is a task management timing diagram of the present invention;
FIG. 6 is a flow chart of task monitoring of the present invention.
Detailed Description
The invention will be further described with reference to specific examples, which are intended to be illustrative only and not to be limiting of the invention, in order to enable those skilled in the art to better understand the technical solutions of the invention.
The task management system and method as shown in fig. 1, the task management system includes: ephemeris data management, task management, data panorama fusion, and external station task management and comprehensive management.
1. Task management
(one) functional requirements:
1) Scheduling, automatic execution, equipment scheduling, state collection, abnormal condition processing and alarming of the 40-meter monitoring/evaluating task are realized; the alarm mode is sound alarm, task flash highlight in task list, windows system task system icon flash;
2) The method comprises the steps of realizing planning, automatic execution, equipment scheduling, state collection, abnormal condition processing and alarming of a 7.3 meter (L/S) monitoring task; the alarm mode is sound alarm, task flash highlight in task list, windows system task system icon flash;
3) The method comprises the steps of realizing planning, automatic execution, equipment scheduling, state collection, abnormal condition processing and alarming of a 7.3 m (C) monitoring task; the alarm mode is sound alarm, task flash highlight in task list, windows system task system icon flash;
4) The method comprises the steps of planning an external station monitoring task, issuing the task, collecting states, processing abnormal conditions and alarming; the alarm mode is sound alarm, task flash highlight in task list, windows system task system icon flash;
5) Planning, automatic execution, equipment scheduling, state collection, abnormal condition processing and alarming of calibration tasks are realized; the alarm mode is popping up an audio alarm, highlighting task flash in a task list and flashing a Windows system task system icon;
6) Carrying out operations such as format abnormal file cleaning, data time marking and the like on files such as radio frequency or intermediate frequency signal acquisition data obtained through tasks, and preparing for evaluation and evaluation result display;
7) The data related to the tasks are integrated and organized once, and preparation is made for subsequent evaluation analysis and dynamic playback.
8) The task template management is realized, and templates can be added, modified and deleted; tasks can be quickly created through templates and task execution plans can be generated, wherein the task plans can be executed under specified conditions, at specified times, on a daily basis, on a weekly basis and on a monthly basis. In the task execution process, the point position forecast is automatically calculated, and the equipment such as an antenna, a receiver, acquisition equipment, a spectrometer, a radio frequency matrix, a network analyzer and the like are automatically controlled;
9) The task monitoring can realize the whole-course continuous collection of signal level, antenna pitching and azimuth data, and generates a change curve according to real-time feedback; the method comprises the steps that a monitoring algorithm is called according to the setting in the task execution process, the task flow, data and states are monitored in the whole process in real time in the task execution process, and are displayed in real time, and when abnormal, alarm prompt is automatically carried out and alarm detailed information is pointed out;
10 During task execution, calibration can be automatically performed in task execution or calibration can be performed in scheduled tasks according to task setting parameters. When the calibration task is executed, the equipment such as a signal source, a network analyzer, a radio frequency matrix, a receiver and the like for calibration is automatically controlled, and after the calibration is finished, the calibration data is automatically regulated and stored to a designated position. The system can automatically intervene in the task execution process according to the change of the environmental elements, and can automatically perform corresponding equipment operation. For example, when lightning early warning occurs, the task execution process is automatically suspended, and the corresponding equipment is powered off or offline by the control PDU;
11 Multiple antenna cooperative tasks may be created, managed and performed in conjunction with monitoring or evaluation of the target. For example, a monitoring task of the same target and the same moment is issued to a plurality of antennas and an external station system, and then the tasks are executed in parallel;
12 The task data management realizes that the task is automatically and regularly collected data, result data, meteorological data, thunder and lightning warning data, calibration data and task state data are sent to a designated directory after the task is executed, relevant task information is marked, and GNSS signal evaluation software is informed that the task is executed.
(II) functional decomposition
As shown in fig. 2, an exploded view of the task management function of the present invention is shown. The concrete contents include:
antenna steering data generation: antenna steering data is automatically generated from ephemeris data for use by an antenna control system when a task is created.
And (3) task management: support to establish 40 meters antenna task, 7.3 (L/S) antenna task, 7.3 (C) antenna task template, modify task template, edit task template, task template contains task type, task flow, required antenna, equipment and parameter in the task, and can establish new task through the template fast. Supporting creation, modification and editing of single-antenna tasks and multi-antenna collaborative tasks, supporting direct creation of tasks referring to parameters in task templates, wherein the tasks comprise task types, task flows, antennas, equipment and parameters required to be used in the tasks and task execution strategies (periodic execution, timed execution and immediate execution can be set); and supporting to check the task execution flow, the execution state, the abnormal condition in the task execution link and the abnormal information of the equipment, and carrying out alarm prompt.
And (3) comprehensive management: decomposing the task, and calling different equipment interface control equipment and antennas according to the task setting and parameters; and (3) carrying out operations such as cleaning of abnormal format files, time marking of the data and the like on the files such as the radio frequency or intermediate frequency signal acquired through the task. Collecting signal level, antenna pitching and azimuth data, and calling a monitoring algorithm according to the setting in the task execution process; and monitoring the data of the environment monitoring device, and automatically suspending the task execution process when lightning early warning occurs, and controlling the PDU to power off or offline corresponding equipment.
Data panorama fusion: and fusing and regulating task acquisition data, meteorological data, calibration data, antenna pitching, azimuth data, signal level data and the like, and correlating and transferring the data to a file server.
And (5) field station task management: the method supports planning, task delivery, state collection, abnormal condition processing and alarming of the monitoring task of the external station, and checks task execution feedback.
Specific descriptions of functional decomposition are shown in table 1 below:
table 1 functional decomposition explanatory table
(III) flow analysis
1. Automated task flow
As shown in fig. 3, the automated task flow is:
1) Creating task list information by a task;
2) The task engine automatically judges task execution conditions, automatically splits the task when the execution conditions are met, and gives a device control instruction in the split task to the device control;
3) The equipment control transmits a control instruction to the antenna and various equipment;
4) The antenna tracks and locks the monitoring target, if the locking is successful, the locking success information is returned to the task engine, and the task engine controls related devices such as acquisition devices and the like to acquire data;
5) The task starts and simultaneously data processing/fusion automatically collects the data such as antenna signal level, pitching, azimuth and the like, automatically collects meteorological data, electromagnetic environment data and video data, and automatically cleans the task collected data; after the task is executed, the data processing/fusion processes and packages the antenna data, the meteorological data, the monitoring data and the like collected in the task execution, packages the data collected in the whole task execution, and automatically transfers the packaged collected data to a database and a file server;
6) After the task is completed, notifying service scheduling software that data evaluation can be performed;
7) The antenna and related equipment return equipment state information in real time, the equipment state is automatically prompted according to the equipment state information, if the antenna and the equipment are in alarm or abnormal, a user is automatically prompted, and corresponding operation or task stopping is performed according to a strategy;
8) The device control returns the state information of the device related to the task engine;
9) When the antenna health is less than 60, automatically suspending the current task;
10 If the lightning early warning device sends out lightning early warning, the task engine automatically pauses the task, controls the PDU to cut off the power supply of the corresponding equipment or to take the corresponding equipment off line, and automatically controls the antenna to point to a safe position.
2. Task template management flow
1) Creating a task template flow:
a) Selecting an execution antenna;
b) Inputting task template information, template parameters, configuration task equipment and parameters;
c) And saving the task template information to a database.
2) Modifying a task template flow:
a) Modifying task template information, template parameters, configuring task equipment and parameters;
b) Confirming whether to modify the task template;
c) If the return is not modified;
d) Confirming a modified task template;
e) Database template information is modified.
3) Deleting a task template flow:
a) Confirming whether to delete;
b) If the return is not deleted;
c) Confirming a deletion task template;
the task template data is deleted from the database.
3. Specific task management flow
As shown in fig. 4, a specific task management flowchart specifically includes the following steps:
1) Creating a task flow:
a) Selecting a task template;
b) Modifying task parameters;
c) Selecting an ephemeris file;
d) Setting task planning time;
e) Submitting task information to a task engine;
f) The task engine saves the creation task information to the database.
2) Modifying the task flow:
a) Modifying task parameters;
b) Modifying task plan execution time;
c) Confirming whether to modify task information;
d) The return is not modified;
e) Confirming modification and submitting modification information to a task engine;
f) The task engine modifies the task information in the database.
3) Deleting the task flow:
a) Confirming whether to delete;
b) If the return is not deleted;
c) Submitting deletion information to a task engine after confirming deletion;
d) The task engine deletes the task data from the database.
4. Task engine control flow
The task engine control flow specifically comprises the following steps:
1) The task list provides task information to the task execution engine;
2) The task execution engine polls and judges whether the execution time is satisfied;
3) Returning to polling if the condition is not satisfied;
4) Executing the task if the condition is met;
5) Splitting tasks;
6) The split task issues an execution instruction to the equipment for monitoring;
7) The device monitors and returns device execution status information to the task execution engine.
5. Task alarm information flow
The task alarm information flow comprises the following steps:
1) The task list provides a device list to state management;
2) The equipment monitors push equipment state information to state management;
3) State management judges whether to alarm;
4) And if the alarm is given, pushing alarm information to the task list for display.
6. Task monitoring flow
The task monitoring flow chart shown in fig. 6 includes the following steps:
1) Task monitoring acquires task information from a task engine control;
2) Task monitoring acquires task resource state information from monitoring control management;
3) Task monitoring judges whether abnormality exists or not through task resource state information;
4) If the resources are abnormal, the task engine is informed to stop the currently executing task.
7. Lightning early warning flow
1) The task list provides task execution information to a task execution engine;
2) The equipment monitors and pushes lightning early warning information to a task execution engine;
3) The task execution engine executes the lightning early warning strategy, automatically pauses the task execution process, and controls the PDU to power off or take off the corresponding device.
8. Data processing flow
1) Inputting radio frequency file data;
2) Cleaning the abnormal file of the radio frequency data line format;
3) Inputting intermediate frequency file data;
4) And cleaning the format abnormal file of the intermediate frequency data.
9. Data fusion rule flow
5) Collecting data, meteorological data, antenna signal level, pitching and azimuth data, and converging the data into data fusion;
6) Task management provides task information to data fusion;
7) Fusing the data and the task information until the data are fused;
8) The fused data files are regulated to a specified directory of a file server;
9) And storing the fused data information and the fused index into a database.
10. Task flow of external station
1) Creating an outfield station task;
2) Selecting an ephemeris file;
3) Setting task information and parameters;
4) The task management of the external station sends task information to the antenna monitoring software;
5) The antenna monitoring software returns the task state information and data of the external station.
11. Task management timing diagram
FIG. 5 is a timing diagram of task management according to the present invention, comprising:
1) Creating a task by a user;
2) Task management generates antenna guidance data according to tasks;
3) The task management controls the antenna and other devices in the task through monitoring control;
4) The monitoring control returns the equipment data to the data panorama fusion;
5) The data panoramic fusion cleans and fuses the data collected in the task, and stores the data into a database and file service;
6) The data panorama fusion informs service scheduling software of signal quality evaluation scheduling;
7) Collecting equipment state information by comprehensive management, and sending equipment alarm information to task management;
8) The task management sends out an alarm prompt to the user;
9) Comprehensively managing and receiving lightning early warning information;
10 The comprehensive management sends lightning early warning information to task management, the task management automatically pauses the task execution process, and the corresponding equipment is powered off or is offline by the control PDU;
11 A user formulates a task of the outstation to the task management of the outstation;
12 Task management of the outstation site to give tasks to the outstation site;
13 The outfield station returns task execution feedback;
14 The outstation task management returns task execution feedback to the user.
The key contents of the invention include:
1) And quickly creating a task through the task template to form a task execution plan. The task execution plan can change the current situation of manual long-time conservation and operation, and the task plan of several days in the future can be brought into the execution plan in advance;
2) And the automatic issuing and execution are carried out according to the task plan under the condition that the corresponding time or the corresponding condition is met, and people are not required to be on duty and operate all night. Automatically calculating point position forecast, and automatically controlling equipment such as an antenna, a receiver, acquisition equipment, a spectrometer, a radio frequency matrix, a network analyzer and the like;
3) Continuously collecting signal level, antenna pitching and azimuth data in the whole process of a task, and generating a change curve according to real-time feedback;
4) The task execution process calls a monitoring algorithm according to the setting, monitors the task flow, data and state in the whole process in real time, displays the task flow, data and state in real time, and automatically alarms and prompts and indicates detailed alarm information when abnormal;
5) Calibration can be automatically performed according to a certain link set in task execution or calibration can be performed in planning tasks. The calibration system comprises a calibration task, a calibration data acquisition module and a calibration data acquisition module, wherein the calibration data acquisition module is used for acquiring calibration data of a signal source, a network analyzer, a radio frequency matrix, a receiver and other equipment which are used for calibration when the calibration task is executed;
6) The system can automatically intervene in the task execution process according to the change of the environmental elements, and can automatically perform corresponding equipment operation.
7) Multiple antenna cooperative tasks can be created to cooperatively perform monitoring or evaluation of the target;
8) And after the task is executed, automatically and regularly acquiring data, result data, meteorological data, lightning warning data, calibration data (pointing to the latest calibration data) and task state data, and informing GNSS signal evaluation software that the task is executed.
And integrating task control and task splitting into task management to perform unified management, integrating an execution instruction, and collecting equipment and subsystem states to perform centralized display. Multiplexing each equipment control subsystem and equipment control interface in the existing system, issuing instructions to the existing equipment control subsystem through task control, and collecting the existing equipment subsystem and equipment state.
The task types include: 40 meters of antenna monitoring/evaluation tasks, 7.3 meters (L/S) monitoring tasks, 7.3 meters (C) monitoring tasks, outfield monitoring tasks, and calibration tasks.
The main tasks of the system operator are: template management, task creation, issuing and execution in task management, state monitoring of equipment in monitoring control and the like, and task issuing of the checked monitoring tasks in external release service is performed to achieve system task management and execution.
The invention is not described in detail in the prior art.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (8)
1. A task management system, comprising: ephemeris data management, task management, data panorama fusion, and outfield station task management and comprehensive management;
the ephemeris data management is used for generating antenna guiding data, and the antenna guiding data is automatically generated according to the ephemeris data when a task is created and provided for an antenna control system to use;
the task management comprises task template editing, task alarming, task state information, historical task inquiring and task executing engines;
the data panorama fusion comprises data regularity, data processing, data cleaning and data migration,
the task management of the external station comprises task editing, task issuing, task state information and historical task inquiry,
the comprehensive management comprises antenna data acquisition, meteorological data acquisition, lightning early warning, equipment control, antenna control and environment monitoring, and the comprehensive management decomposes tasks and calls different equipment interface control equipment and antennas according to task setting and parameters; collecting data files through radio frequency or intermediate frequency signals acquired by tasks, and cleaning the format abnormal files and performing time marking operation on the data; collecting signal level, antenna pitching and azimuth data, and calling a monitoring algorithm according to the setting in the task execution process; and (3) monitoring data of the environment monitoring device, and automatically suspending the task execution process when lightning early warning occurs, and controlling the PDU to power off or offline corresponding equipment.
2. A task management system according to claim 1, wherein the task management support creates a 40 meter antenna task, a 7.3L/S antenna task, a 7.3C antenna task template, modifies a task template, edits a task template; the task template comprises the task type, the task flow and the antennas, equipment and parameters required to be used in the task, and can quickly create a new task through the task template.
3. The task management system of claim 1, wherein the data panorama fusion fuses, organizes, and correlates task acquisition data, weather data, calibration data, antenna pitch, azimuth data, signal level data, and migrates the data to a file server.
4. The task management system of claim 1, wherein the outstation task management supports scheduling, task delivery, status collection, abnormal situation handling and alerting of outstation monitoring tasks, and viewing task execution feedback.
5. A task management method, wherein the task management flow includes the following flows:
s1: automating a task flow;
s2: task template management flow;
s3: a specific task management flow;
s4: task engine control flow;
s5: task alarm information flow;
s6: task monitoring flow;
s7: a lightning early warning process;
s8: a data processing flow;
s9: data fusion regular flow;
s10: an external station task flow;
s11: task management time sequence flow;
the specific time sequence flow of task management comprises the following steps:
creating a task by a user;
task management generates antenna guidance data according to tasks;
the task management controls the antenna and the acquisition equipment in the task through monitoring control;
the monitoring control returns the equipment data to the data panorama fusion;
the data panoramic fusion cleans and fuses the data collected in the task, and stores the data into a database and file service;
the data panorama fusion informs service scheduling software of signal quality evaluation scheduling;
collecting equipment state information by comprehensive management, and sending equipment alarm information to task management;
the task management sends out an alarm prompt to the user;
comprehensively managing and receiving lightning early warning information;
the comprehensive management sends lightning early warning information to task management, the task management automatically pauses the task execution process, and the corresponding equipment is powered off or offline by the control PDU;
the user formulates the task management from the external station to the external station;
the task management of the external station issues a task to the external station;
the outfield station returns task execution feedback;
the task management of the outstation returns task execution feedback to the user.
6. A method of task management as defined in claim 5, wherein the specific task management flow includes the steps of:
1) Creating a task flow:
selecting a task template;
modifying task parameters;
selecting an ephemeris file;
setting task planning time;
submitting task information to a task engine;
the task engine stores the created task information into a database;
2) Modifying the task flow:
modifying task parameters;
modifying task plan execution time;
confirming whether to modify task information;
the return is not modified;
confirming modification and submitting modification information to a task engine;
the task engine modifies task information in the database;
3) Deleting the task flow:
confirming whether to delete;
if the return is not deleted;
submitting deletion information to a task engine after confirming deletion;
the task engine deletes the task data from the database.
7. A method of task management as defined in claim 5, wherein the automated task flow comprises the steps of:
creating task list information by a task;
the task engine automatically judges task execution conditions, automatically splits the task when the execution conditions are met, and gives a device control instruction in the split task to the device control;
the equipment control transmits a control instruction to the antenna and various equipment;
the antenna tracks and locks the monitoring target, if the locking is successful, the locking success information is returned to the task engine, and the task engine controls the related equipment of the acquisition equipment to acquire data;
the task starts and simultaneously data processing/fusion automatically collects the signal level, pitching and azimuth data of the antenna, automatically collects meteorological data, electromagnetic environment data and video data, and automatically cleans the task collected data; after the task is executed, the data processing/fusion carries out regular packaging on the antenna data, the meteorological data and the monitoring data acquired in the task execution, packages the data acquired in the whole task execution, and automatically transfers the packaged acquired data to a database and a file server;
notifying service scheduling software to perform data evaluation after the task is completed;
the antenna and related equipment return equipment state information in real time, the equipment state is automatically prompted according to the equipment state information, if the antenna and the equipment are in alarm or abnormal, a user is automatically prompted, and corresponding operation or task stopping is performed according to a strategy;
the device control returns the state information of the device related to the task engine;
when the antenna health is less than 60, automatically suspending the current task;
if the lightning early warning device sends out lightning early warning, the task engine automatically pauses the task, controls the PDU to cut off the power supply of the corresponding equipment or to take the corresponding equipment off line, and automatically controls the antenna to point to a safe position.
8. A method of task management according to claim 5, wherein the data fusion rule flow comprises the steps of:
collecting data, meteorological data, antenna signal level, pitching and azimuth data, and converging the data into data fusion;
task management provides task information to data fusion;
fusing the data and the task information until the data are fused;
the fused data files are regulated to a specified directory of a file server;
and storing the fused data information and the fused index into a database.
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