CN113792235A - Road network operation monitoring method, device, equipment and medium based on template - Google Patents
Road network operation monitoring method, device, equipment and medium based on template Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a medium for monitoring road network operation based on a template. The method comprises the following steps: acquiring a monitoring demand; the monitoring requirements are disassembled into monitoring sub-requirements, and the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement; constructing a first monitoring task when the monitoring sub-requirements contain first monitoring sub-requirements; constructing a second monitoring task when the monitoring sub-requirements contain second monitoring sub-requirements; constructing a third monitoring task when the monitoring sub-requirements contain third monitoring sub-requirements; calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task; and monitoring the operation of the road network according to the target monitoring task. According to the method and the system, the historical tasks are transcribed into the monitoring templates and the modification of the time-space parameters, so that the copying, comparison, integration and expansion of the monitoring tasks are realized, the monitoring capability and flexibility are improved, and the difficulty in customizing and generating the monitoring tasks is reduced.
Description
Technical Field
The present application relates to the field of intelligent traffic technologies, and more particularly, to a method, an apparatus, a device, and a medium for monitoring a road network operation based on a template.
Background
The highway traffic transportation plays an important role in economic and social development, maintains the stable and efficient operation of a highway traffic network, and has important significance for adjusting an industrial structure, promoting employment and economic development and accelerating the urban and rural integrated construction process. In recent years, with the rapid increase of the quantity of motor vehicles and the gradual rise of the demand for road transportation, road traffic events frequently occur and the social influence is large, and the operating pressure of road network traffic protection and smoothness maintenance is continuously increased.
However, the integration level of the road network operation management information platform is low, the road network monitoring devices are constructed in a scattered manner, data are not collected yet, cross-region, cross-level, cross-department information transmission, resource commonality and service linkage barriers are prominent, the overall efficiency of road network operation is difficult to exert, accurate service in the road is difficult to meet, and emergency efficient disposal is difficult to guarantee.
Under the background, a patent of chinese patent No. CN 112016018A entitled "a road network operation monitoring method, device, storage medium and terminal" proposes a method for flexibly increasing and decreasing monitoring content to dynamically customize a monitoring task using a monitoring subject as a framework, which improves the task flexibility of dynamic road network operation monitoring services to a certain extent, but the operation difficulty of dynamically customizing a generated task is high, and the homogeneity of the task generation process cannot be ensured, thereby preventing further copying, comparison, integration and expansion of the task, and failing to meet the requirements of more extensive and complicated road network operation monitoring service scenes.
Disclosure of Invention
In view of the foregoing technical problems, embodiments of the present application provide a method, an apparatus, a device, and a medium for monitoring road network operation based on a template. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
The invention provides a template-based road network operation monitoring method, which comprises the following steps of:
acquiring monitoring requirements, wherein the monitoring requirements comprise a monitoring layer directory, a time filtering parameter and a space filtering parameter;
the monitoring requirements are disassembled into monitoring sub-requirements, the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, wherein the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library;
when the monitoring sub-requirements comprise first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template to construct a first monitoring task;
when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task;
when the monitoring sub-requirements contain third monitoring sub-requirements, acquiring a third history task matched with the third monitoring sub-requirements, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirements according to the third expanded template to construct a third monitoring task;
calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and monitoring the operation of the road network according to the target monitoring task.
Specifically, the second monitoring sub-requirement includes at least two second historical tasks of the same type monitoring scene, the second historical tasks are transcribed into a second monitoring template, a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirement are loaded according to the second monitoring template, and the second monitoring task is constructed, including:
transcribing the second historical task into a second monitoring template according to the monitoring layer directory, the time filtering parameter and the space filtering parameter;
and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to a second monitoring template to obtain a second monitoring task.
Further, loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement to obtain a second monitoring task, wherein the second monitoring task comprises:
acquiring data of each monitoring scene of the same type of monitoring scenes included in the second monitoring sub-requirement;
and loading different target dynamic layers corresponding to each monitoring scene data by setting different time filtering parameters and different space filtering parameters according to a second monitoring template to obtain a second monitoring task.
Further, the monitoring demand also comprises a monitoring object.
Still further, the method for monitoring the operation of the road network based on the template further comprises the following steps:
associating any target dynamic layer with a preset address access function to obtain a dynamic layer after the association function;
and determining a monitoring object identifier contained in the dynamic layer after the association function, and calling the address access function to access the monitoring object from the second monitoring task.
In addition, more specifically, the expanding the third history task to obtain a third expanded task, and the transcribing the third expanded task into a third expanded template includes:
determining a monitoring object to be expanded, a quantitative parameter and/or a dynamic layer in the third history task;
adjusting the third history task according to the monitoring object to be expanded, the quantitative parameter and/or the dynamic layer to generate a third expansion task;
transcribing the third extended task into a third extended template.
Preferably, the setting of the spatial filtering parameter includes setting of an administrative region, a road name and a custom spatial range.
The invention provides a road network operation monitoring device based on a template in a second aspect, which comprises:
the system comprises a demand acquisition module, a monitoring module and a monitoring module, wherein the demand acquisition module is used for acquiring monitoring demands, and the monitoring demands comprise monitoring layer catalogues, time filtering parameters and space filtering parameters;
the demand dismantling module is used for dismantling the monitoring demands into monitoring sub-demands, wherein the monitoring sub-demands comprise at least one of a first monitoring sub-demand, a second monitoring sub-demand and a third monitoring sub-demand, the first monitoring sub-demand is matched with a first historical task in the task library, the second monitoring sub-demand is matched with a second historical task in the task library, and the third monitoring sub-demand is matched with a third historical task in the task library;
the first construction module is used for acquiring a first historical task matched with a first monitoring sub-requirement when the monitoring sub-requirement contains the first monitoring sub-requirement, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirement according to the first monitoring template to construct a first monitoring task;
the second construction module is used for acquiring a second historical task matched with a second monitoring sub-requirement when the monitoring sub-requirement contains the second monitoring sub-requirement, wherein the second monitoring sub-requirement comprises at least two second historical tasks of the same type of monitoring scene, transcribing the second historical task into a second monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirement according to the second monitoring template to construct the second monitoring task;
the third construction module is used for acquiring a third history task matched with a third monitoring sub-requirement when the monitoring sub-requirement contains the third monitoring sub-requirement, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirement according to the third expanded template to construct a third monitoring task;
the task calling module is used for calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and the road network monitoring module is used for monitoring the operation of the road network according to the target monitoring task.
A third aspect of the invention provides a computer device comprising a memory and a processor, the memory having stored therein computer-readable instructions which, when executed by the processor, cause the processor to perform the steps of:
acquiring monitoring requirements, wherein the monitoring requirements comprise a monitoring layer directory, a time filtering parameter and a space filtering parameter;
the monitoring requirements are disassembled into monitoring sub-requirements, the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, wherein the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library;
when the monitoring sub-requirements comprise first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template to construct a first monitoring task;
when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task;
when the monitoring sub-requirements contain third monitoring sub-requirements, acquiring a third history task matched with the third monitoring sub-requirements, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirements according to the third expanded template to construct a third monitoring task;
calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and monitoring the operation of the road network according to the target monitoring task.
A fourth aspect of the present invention provides a computer storage medium having stored thereon a plurality of instructions adapted to be loaded by a processor and to carry out the steps of:
acquiring monitoring requirements, wherein the monitoring requirements comprise a monitoring layer directory, a time filtering parameter and a space filtering parameter;
the monitoring requirements are disassembled into monitoring sub-requirements, the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, wherein the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library;
when the monitoring sub-requirements comprise first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template to construct a first monitoring task;
when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task;
when the monitoring sub-requirements contain third monitoring sub-requirements, acquiring a third history task matched with the third monitoring sub-requirements, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirements according to the third expanded template to construct a third monitoring task;
calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and monitoring the operation of the road network according to the target monitoring task.
The beneficial effect of this application does: the application will monitoring demand is disassembled into monitoring sub-demands, the monitoring sub-demands include at least one of first monitoring sub-demands, second monitoring sub-demands and third monitoring sub-demands, wherein the first monitoring sub-demands are matched with a first historical task in a task library, the second monitoring sub-demands are matched with a second historical task in the task library, and the third monitoring sub-demands are matched with a third historical task in the task library The time filtering parameter and the space filtering parameter respectively obtain a first monitoring task, a second monitoring task and a third monitoring task, and then the first monitoring task, the second monitoring task and/or the third monitoring task are called, so that different monitoring applications can be comprehensively met. By adopting the method and the device, the historical tasks related to the monitoring demands can be acquired under the condition that new tasks are not constructed facing new monitoring demands, the historical tasks are copied and expanded to be transcribed into corresponding monitoring templates, and the dynamic layers, the time filtering functions and the space filtering functions corresponding to each monitoring sub-demand are loaded according to the corresponding monitoring templates, so that the elasticity and the flexibility of dynamic road network operation monitoring are greatly improved, and the dynamic operation monitoring of the road network is more comprehensive, accurate and convenient. The method and the device also adjust the monitoring subject task according to the monitoring object to be expanded, the quantitative parameter and/or the dynamic layer to generate the expanded subject task, so that the method and the device can better adapt to the development and change of the monitoring service. In summary, the method provided by the application can meet the scene requirements of wider and more complex road network operation monitoring services, and greatly reduces the operation difficulty of monitoring task customization and generation.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
The present application may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:
FIG. 1 illustrates a method flow diagram of an exemplary embodiment of the present application;
FIG. 2 illustrates a spatial filter condition diagram provided in an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a process for generating a template-based monitoring topic task configuration in an exemplary embodiment of the present application;
FIG. 4 illustrates a schematic view of monitor task replication, integration and expansion in an exemplary embodiment of the present application;
FIG. 5 illustrates a schematic diagram of an apparatus according to an exemplary embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 7 is a schematic diagram of a storage medium according to an embodiment of the present application.
Detailed Description
Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present application. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present application. It will be apparent to one skilled in the art that the present application may be practiced without one or more of these details. In other instances, well-known features of the art have not been described in order to avoid obscuring the present application.
It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the application. As used herein, the singular is intended to include the plural unless the context clearly dictates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Exemplary embodiments according to the present application will now be described in more detail with reference to the accompanying drawings. These exemplary embodiments may, however, be embodied in many different forms and should not be construed as limited to only the embodiments set forth herein. The figures are not drawn to scale, wherein certain details may be exaggerated and omitted for clarity. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.
Exemplary embodiments of the present application are provided below in conjunction with the description of FIGS. 1-7. It should be noted that the following application scenarios are merely illustrated for the convenience of understanding the spirit and principles of the present application, and the embodiments of the present application are not limited in this respect. Rather, embodiments of the present application may be applied to any scenario where applicable.
In order to realize more flexible monitoring of road network, in an exemplary embodiment of the present application, a template-based road network operation monitoring method is provided, as shown in fig. 1 (fig. 1 is a simplified method flow diagram, which does not include all descriptions of the contents of the steps), including the following steps:
s1, acquiring monitoring requirements, wherein the monitoring requirements comprise monitoring layer catalogues, time filtering parameters and space filtering parameters;
s2, decomposing the monitoring requirements into monitoring sub-requirements, wherein the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, the first monitoring sub-requirement is matched with a first historical task in a task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library;
s3, when the monitoring sub-requirements contain first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template to construct a first monitoring task;
s4, when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task;
s5, when a third monitoring sub-requirement is included in the monitoring sub-requirements, acquiring a third history task matched with the third monitoring sub-requirement, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the third monitoring sub-requirement according to the third expanded template to construct a third monitoring task;
s6, calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and S7, performing road network operation monitoring according to the target monitoring task.
Specifically, the second monitoring sub-requirement includes at least two second historical tasks of the same type monitoring scene, the second historical tasks are transcribed into a second monitoring template, a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirement are loaded according to the second monitoring template, and the second monitoring task is constructed, including:
transcribing the second historical task into a second monitoring template according to the monitoring layer catalogue, the time filtering parameter and the space filtering parameter;
and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to the second monitoring template to obtain a second monitoring task.
Further, in a preferred embodiment, the second historical task includes at least two second historical subtasks representing the same type of monitoring scene, obtains any one of the second historical subtasks, and transcribes any one of the second historical subtasks into a second monitoring template according to the monitoring layer directory, the temporal filtering parameter, and the spatial filtering parameter; and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to a second monitoring template to obtain a second monitoring task.
Further, loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement to obtain a second monitoring task, wherein the second monitoring task comprises:
acquiring data of each monitoring scene of the same type of monitoring scenes included in the second monitoring sub-requirement;
and loading different target dynamic layers corresponding to each monitoring scene data by setting different time filtering parameters and space filtering parameters according to the second monitoring template to obtain a second monitoring task.
Further, the monitoring demand also comprises a monitoring object.
Still further, the method for monitoring the operation of the road network based on the template further comprises the following steps:
associating any target dynamic layer with a preset address access function to obtain a dynamic layer after the association function;
and determining the monitoring object identifier contained in the dynamic layer after the association function, and calling an address access function to access the monitoring object from the second monitoring task.
In addition, more specifically, the step of expanding the third history task to obtain a third expanded task, and the step of transcribing the third expanded task into a third expanded template includes:
determining a monitoring object to be expanded, a quantitative parameter and/or a dynamic layer in a third history task;
adjusting a third history task according to the monitoring object to be expanded, the quantitative parameters and/or the dynamic layer to generate a third expansion task; transcribing the third extended task into a third extended template.
It should be noted that, the quantization parameter includes an initial temporal parameter and an initial spatial parameter, and when the extension is performed, because the initial temporal parameter and the initial spatial parameter are changed, the extension of the monitoring template is performed by setting different temporal filtering parameters and different spatial filtering parameters.
Preferably, the setting of the spatial filtering parameter includes setting of an administrative area, a road name, and a custom spatial range.
Based on the above steps of the present application, in one possible implementation, such a result may be achieved: for example, the first historical task matched with the first monitoring sub-requirement is a monitoring task related to the Shanxi province, the monitoring task related to the Shanxi province is transcribed into a first monitoring template, and the time-space parameters of the first monitoring template are modified to obtain monitoring tasks of a plurality of provinces, including monitoring tasks of the Heilongjiang province, the Jilin province, the Liaoning province and the like. Therefore, the monitoring task finally obtained by setting the time filtering parameter and the space filtering parameter under the same type of monitoring scene based on the template, namely the task-based 'copying' is convenient and fast, and the 'copying' result is utilized to carry out 'comparison' and 'integration' of the task, so that the method is more flexible and saves time.
The application will monitoring demand is disassembled into monitoring sub-demands, the monitoring sub-demands include at least one of first monitoring sub-demands, second monitoring sub-demands and third monitoring sub-demands, wherein the first monitoring sub-demands are matched with a first historical task in a task library, the second monitoring sub-demands are matched with a second historical task in the task library, and the third monitoring sub-demands are matched with a third historical task in the task library The time filtering parameter and the space filtering parameter respectively obtain a first monitoring task, a second monitoring task and a third monitoring task, and then the first monitoring task, the second monitoring task and/or the third monitoring task are called, so that different monitoring applications can be comprehensively met. By adopting the method and the device, the historical tasks related to the monitoring demands can be acquired under the condition that new tasks are not constructed facing new monitoring demands, the historical tasks are copied and expanded to be transcribed into corresponding monitoring templates, and the dynamic layers, the time filtering functions and the space filtering functions corresponding to each monitoring sub-demand are loaded according to the corresponding monitoring templates, so that the elasticity and the flexibility of dynamic road network operation monitoring are greatly improved, and the dynamic operation monitoring of the road network is more comprehensive, accurate and convenient. The method and the device also adjust the monitoring subject task according to the monitoring object to be expanded, the quantitative parameter and/or the dynamic layer to generate the expanded subject task, so that the method and the device can better adapt to the development and change of the monitoring service. In summary, the method provided by the application can meet the scene requirements of wider and more complex road network operation monitoring services, and greatly reduces the operation difficulty of monitoring task customization and generation.
In an exemplary embodiment of the present application, a method for monitoring road network operation based on a template is further provided, and the steps are described in detail as follows.
The method comprises the steps of firstly, acquiring monitoring requirements, wherein the monitoring requirements comprise monitoring layer catalogs, time filtering parameters and space filtering parameters.
Specifically, the monitoring requirements are obtained corresponding to different application scenarios in reality, and the monitoring requirements include different dynamic layers, so that the monitoring requirements need to have a directory of the monitoring layers. Similarly, the monitoring requirement further includes a temporal filtering parameter and a spatial filtering parameter, and in particular, the subsequent steps may obtain different monitoring tasks by setting different temporal filtering parameters and different spatial filtering parameters.
And secondly, decomposing the monitoring requirements into monitoring sub-requirements, wherein the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library.
And thirdly, when the monitoring sub-requirements comprise first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template, and constructing the first monitoring task.
It should be noted here that the first historical task itself has an initial quantization parameter, which includes a quantization parameter, and the quantization parameter includes an initial time parameter and an initial spatial parameter, but when the first historical task is used to construct the first monitoring task, the target dynamic layer, the temporal filtering parameter, and the spatial filtering parameter corresponding to the first monitoring sub-requirement need to be loaded according to the first monitoring template. Because the initial temporal parameter and the initial spatial parameter are to be changed, "filtering" is employed only in the description, indicating that different temporal and spatial parameters are set to implement the replication of the first historical task.
And fourthly, when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task.
It should be noted here that the second historical task itself has an initial quantization parameter, which includes a quantization parameter, and the quantization parameter includes an initial time parameter and an initial spatial parameter, but when the second historical task is used to construct the second monitoring task, the target dynamic layer, the temporal filtering parameter, and the spatial filtering parameter corresponding to the second monitoring sub-requirement need to be loaded according to the second monitoring template. Because the initial temporal and spatial parameters are changed, "filtering" is employed only in the description, indicating that different temporal and spatial parameters are set to achieve integration of the second historical task.
And fifthly, when the monitoring sub-requirements comprise a third monitoring sub-requirement, acquiring a third history task matched with the third monitoring sub-requirement, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the third monitoring sub-requirement according to the third expanded template to construct a third monitoring task.
The third step to the fifth step of the application can easily find that the first monitoring sub-requirement is a requirement which can be satisfied by the first historical task through copying, the second monitoring sub-requirement is a requirement which can be satisfied by the second historical task through template transcription and copying integration, and the third monitoring sub-requirement is a requirement which can be satisfied by the third historical task expansion, template transcription and copying.
Expanding the third history task to obtain a third expanded task, and transcribing the third expanded task into a third expanded template comprises: determining a monitoring object to be expanded, a quantitative parameter and/or a dynamic layer in a third history task; adjusting a third history task according to the monitoring object to be expanded, the quantitative parameters and/or the dynamic layer to generate a third expansion task; transcribing the third extended task into a third extended template.
It should be noted that the quantization parameter in the basis includes an initial temporal parameter and an initial spatial parameter, and when the extension is performed, because the initial temporal parameter and the initial spatial parameter are changed, the extension of the monitoring template is performed by setting different temporal filtering parameters and different spatial filtering parameters.
Preferably, the setting of the spatial filtering parameter includes setting of an administrative area, a road name, and a custom spatial range.
And sixthly, calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task.
And seventhly, monitoring the operation of the road network according to the target monitoring task.
Based on the above steps, in another possible implementation, the first monitoring template is a template of the monitoring topic M, and the monitoring template may be represented by the following formula:
wherein the content of the first and second substances,
and the dynamic layer sets are a plurality of dynamic layer sets under the first monitoring template.
The type of the spatial filtering condition defining the first monitoring template, i.e. the specific set spatial filtering parameter, may be based on administrative divisions, road names, and custom ranges. For example, for a seismic survey business template,
can be a polygon, which can refer to the sweep range of seismic waves; for a provincial road network operation monitoring service template,
code for provincial administrative divisions; for one of the traffic care service templates,
may be one or more polygons corresponding to the guaranteed range. As shown in the figureAs shown in figure 2, the first and second,
the input of (a) requires the user to upload two polygons, inner and outer, in FIG. 2(a)
The defined monitoring range refers to the spatial range between two polygons, while FIG. 2(b) shows
The monitoring range defined is two, one is the space range enveloped by the inner circle polygon, and the other is the space range between the two polygons, which needs to be measured by
Differentiation is made according to the definition of the service.
A temporal filtering condition type for the first monitoring template is defined.
The type of the monitoring object filtering condition is defined, and the monitoring object filtering condition can be unfolded around a certain type of specific monitoring object, for example, bridge and tunnel monitoring, construction pavement monitoring and the like can also be based on
The conditions of (1) were filtered.
FIG. 3 illustrates a template-based monitoring topic task configuration generation process, such as the monitoring template shown in FIG. 3
Based on the transcription of a certain historical task configured and generated by professionals in the task library, the user selects TemplateMSetting a monitoring subject task ThemeMWhen it is needed only according to
Constraining the spatial extent of the input monitoring task (input spatial conditions, i.e., input spatial filter parameters, in FIG. 3), and based on
Constraining the time range of the input monitoring task (input time in FIG. 3, i.e., input condition space filter parameter), i.e., it can form
And
thereby completing the monitoring subject task ThemeMThe configuration generation process of the monitoring subject task can be simplified by the template-based method.
It should be noted here that "transcribing the first historical task into the first monitoring template" in the above embodiment step does not indicate that the monitoring template itself cannot be defined, and as a changeable embodiment, the definition of the monitoring template can be completely performed by using different data processing methods in a specific implementation process. In the specific implementation process, the monitoring template defines a monitoring layer set of the monitoring task and the types of the quantification parameters such as the time, space and object filtering conditions of the monitoring task. Then, the acquisition of the monitoring template may be regarded as a process of serializing parameters such as a monitoring layer set and a quantization parameter type included in the monitoring subject task, and the monitoring template may be generated by transcription from an existing task or by definition from scratch. Therefore, based on the same monitoring template, a homogeneous monitoring task set can be generated by adjusting the parameters of the tasks, and the homogeneous monitoring tasks can be compared with each other and can also be integrated in the same way. The embodiments of the present invention are obtained by logical analysis and reasoning, and the embodiments of the present invention are also within the scope of the present invention. In addition, the "several steps" are only used to illustrate the logic steps of the technical implementation, and each step may be implemented or converted by a plurality of steps in the specific implementation process, some steps are parallel, some steps are serial, and these are not limited specifically, but the specific convertible implementation mode in this embodiment also belongs to the protection scope of this application.
In an exemplary embodiment of the present application, there is also provided an integrated method of monitoring tasks, including the steps of: the method comprises the steps of firstly, acquiring monitoring requirements, wherein the monitoring requirements comprise a monitoring layer catalogue, a time filtering parameter and a space filtering parameter; the monitoring requirements are disassembled into monitoring sub-requirements, the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, wherein the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library; when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task.
Specifically, the second monitoring sub-requirement includes at least two second historical tasks of the same type monitoring scene, and the transcribing of the second historical tasks into the second monitoring template includes: transcribing the second historical task into a second monitoring template according to the monitoring layer catalogue, the time filtering parameter and the space filtering parameter; and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to the second monitoring template to obtain a second monitoring task. Further, loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement to obtain a second monitoring task, wherein the second monitoring task comprises: acquiring data of each monitoring scene of the same type of monitoring scenes included in the second monitoring sub-requirement; and loading different target dynamic layers corresponding to each monitoring scene data by setting different time filtering parameters and space filtering parameters according to the second monitoring template to obtain a second monitoring task.
Further, the monitoring demand also comprises a monitoring object. Still further, the method for monitoring the operation of the road network based on the template further comprises the following steps: associating any target dynamic layer with a preset address access function to obtain a dynamic layer after the association function; and determining the monitoring object identifier contained in the dynamic layer after the association function, and calling an address access function to access the monitoring object from the second monitoring task.
Further, in a preferred embodiment, the second historical task includes at least two second historical subtasks representing the same type of monitoring scene, obtains any one of the second historical subtasks, and transcribes any one of the second historical subtasks into a second monitoring template according to the monitoring layer directory, the temporal filtering parameter, and the spatial filtering parameter; and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to a second monitoring template to obtain a second monitoring task.
Based on the above steps, in one possible implementation, a given monitoring subject task Theme is setXOne monitoring layer in it, not marked as layerMAnd the monitoring objects contained in the layer are { M, A, B, …, Y }. Monitoring task Theme for configuring monitoring object MMThen transcribing it into a task TemplateMAnd according to the TemplateMCopying and generating other monitoring tasks ThemeA、ThemeB… … and ThemeY。
Further, associating any target dynamic layer with a preset address access function to obtain a dynamic layer after the association function; and determining the monitoring object identifier contained in the dynamic layer after the association function, and calling an address access function to access the monitoring object from the monitoring task set. Let the Address (M, y) function give the Template-based TemplateMGenerated task ThemeySuch as Address (M, A) gives ThemeAThe access address of (2). Only the same is neededXLayer ofMThe layer associates an Address (M, y) function, i.e., according to the layerMMonitoring objects { M, A, B, …, Y } contained in the layer call an Address (M, Y) function to access a monitoring task ThemeM、ThemeA、ThemeB… … and ThemeYThereby realizing the taskXThe same way can be realized for the access to the next level taskADown drill access to the next level task. Further, in the sameXMiddle-to-peer task ThemeM、ThemeA、ThemeB… … and ThemeYThe horizontal comparison can be carried out, and the longitudinal comparison can be carried out on the same task in different time dimensions, so that the integration of monitoring tasks is realized. The task integration is based on homogenization, namely the used dynamic layers are the same and can be accessed in the same way, so that the dynamic layers can be integrated in the same way, and the monitoring tasks of more than 30 provinces in the country are homogenized, so that the monitoring tasks of the provinces can be accessed in the same way, and the drill-down access of the monitoring tasks of the provinces in the country is realized. FIG. 4 illustrates a monitor task replication and integration process. For example, based on a county monitoring template, a plurality of county monitoring tasks can be copied, and the county monitoring tasks can be integrated into the monitoring tasks of the city to which the county monitoring tasks belong to and accessed, and similarly, the application based on the city monitoring template, the province monitoring template and the national monitoring template can be realized.
The integration can realize multilevel and multidimensional monitoring in the national range, remarkably improves the dynamic operation monitoring capability of the national road network, and enables various elements and quantitative indexes related to the operation of the road network, such as infrastructure point positions, traffic flow, traffic jam, traffic events, traffic weather, health conditions of traffic infrastructures and the like, to be visually presented to service monitoring personnel, so that the basic conditions of the operation of the road network can be objectively analyzed and evaluated, and further, the problems existing in the operation of the road network can be found and intervened in time.
In an exemplary embodiment of the present application, there is also provided a method for expanding a monitoring template, including: acquiring a monitoring template to be expanded; identifying parameters in a monitoring subject task corresponding to a monitoring template to be expanded; determining parameters to be expanded, and adjusting a monitoring subject task according to the parameters to be expanded; and transcribing the expanded subject task into a monitoring template. Specifically, the parameters to be expanded include monitoring objects, quantization parameters, and/or dynamic layers. Fig. 4 shows an extended schematic diagram of a monitoring task, and as shown in fig. 4, a province monitoring template 1 'is generated by adjusting the province monitoring template 1 to be extended, and a monitoring subject task of K province is generated based on the province monitoring template 1', so that the flexibility of executing the task is improved, and the time for executing the task is saved.
It should be noted that "transcribing the expanded theme task into the monitoring template" may also be regarded as generating the expanded theme task into the monitoring template, adjusting the monitoring theme task according to the parameter to be expanded, and transcribing the expanded theme task into the monitoring template, and may be regarded as a process of extracting various parameters and/or parameter combination configuration from the parameters in the monitoring theme task corresponding to the monitoring template to generate a new monitoring template, which, of course, belongs to the due meaning of the embodiment of the present application or is obtained through logical analysis and reasoning, and also belongs to the scope of the present application.
In an exemplary embodiment of the present application, there is further provided a template-based road network operation monitoring apparatus, as shown in fig. 5, including:
a requirement obtaining module 501, configured to obtain monitoring requirements, where the monitoring requirements include a monitoring layer directory, a time filtering parameter, and a space filtering parameter;
a requirement disassembling module 502, configured to disassemble the monitoring requirement into monitoring sub-requirements, where the monitoring sub-requirements include at least one of a first monitoring sub-requirement, a second monitoring sub-requirement, and a third monitoring sub-requirement, where the first monitoring sub-requirement matches with a first history task in the task library, the second monitoring sub-requirement matches with a second history task in the task library, and the third monitoring sub-requirement matches with a third history task in the task library;
a first constructing module 503, configured to, when the monitoring sub-requirements include a first monitoring sub-requirement, obtain a first historical task matched with the first monitoring sub-requirement, transcribe the first historical task into a first monitoring template, load a target dynamic layer, a temporal filtering parameter, and a spatial filtering parameter corresponding to the first monitoring sub-requirement according to the first monitoring template, and construct a first monitoring task;
a second construction module 504, configured to, when the monitoring sub-requirements include a second monitoring sub-requirement, obtain a second historical task matched with the second monitoring sub-requirement, where the second monitoring sub-requirement includes at least two second historical tasks of the same type of monitoring scene, transcribe the second historical task into a second monitoring template, load a target dynamic layer, a temporal filtering parameter, and a spatial filtering parameter corresponding to the second monitoring sub-requirement according to the second monitoring template, and construct the second monitoring task;
a third constructing module 505, configured to, when a third monitoring sub-requirement is included in the monitoring sub-requirements, obtain a third history task matching the third monitoring sub-requirement, expand the third history task to obtain a third expanded task, transcribe the third expanded task into a third expanded template, and load a target dynamic layer, a temporal filtering parameter, and a spatial filtering parameter corresponding to the third monitoring sub-requirement according to the third expanded template to construct a third monitoring task;
a task calling module 506, configured to call the first monitoring task, the second monitoring task, and/or the third monitoring task to form a target monitoring task;
and a road network monitoring module 507, configured to perform road network operation monitoring according to the target monitoring task.
As an alternative embodiment, the device can also be added with a definition module for defining the monitoring template from zero according to the requirement of the monitoring subject task.
Other aspects of the present invention are not specifically limited, but the present invention falls within the scope of the present invention, including the specific implementation steps and procedures of the embodiments of the present invention and the logical analysis and reasoning of the present invention.
Referring next to fig. 6, a schematic diagram of an electronic device provided in some embodiments of the present application is shown. As shown in fig. 6, the electronic apparatus 2 includes: the system comprises a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202; the memory 201 stores a computer program that can be executed on the processor 200, and when the processor 200 executes the computer program, the method for monitoring the operation of the road network based on the template provided by any one of the foregoing embodiments of the present application is executed.
The Memory 201 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network elements is realized through at least one communication interface 203 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The processor 200 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 200. The Processor 200 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the method in combination with the hardware thereof.
The electronic device provided by the embodiment of the application and the road network operation monitoring method based on the template provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as the method adopted, operated or realized by the electronic device.
Referring to fig. 7, the computer readable storage medium is an optical disc 30, on which a computer program (i.e., a computer program product) is stored, and when the computer program is executed by a processor, the computer program executes the method for monitoring the operation of the road network based on the template provided in any of the foregoing embodiments.
Examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.
It should be noted that: the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, it is to be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and that specific languages are provided for disclosure of enablement and best mode of the present application. Numerous specific details are set forth in the description. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A road network operation monitoring method based on a template is characterized by comprising the following steps:
acquiring monitoring requirements, wherein the monitoring requirements comprise a monitoring layer directory, a time filtering parameter and a space filtering parameter;
the monitoring requirements are disassembled into monitoring sub-requirements, the monitoring sub-requirements comprise at least one of a first monitoring sub-requirement, a second monitoring sub-requirement and a third monitoring sub-requirement, wherein the first monitoring sub-requirement is matched with a first historical task in the task library, the second monitoring sub-requirement is matched with a second historical task in the task library, and the third monitoring sub-requirement is matched with a third historical task in the task library;
when the monitoring sub-requirements comprise first monitoring sub-requirements, acquiring a first historical task matched with the first monitoring sub-requirements, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirements according to the first monitoring template to construct a first monitoring task;
when the monitoring sub-requirements comprise second monitoring sub-requirements, acquiring a second historical task matched with the second monitoring sub-requirements, wherein the second monitoring sub-requirements comprise at least two second historical tasks of the same type of monitoring scenes, transcribing the second historical task into a second monitoring template, loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirements according to the second monitoring template, and constructing the second monitoring task;
when the monitoring sub-requirements contain third monitoring sub-requirements, acquiring a third history task matched with the third monitoring sub-requirements, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirements according to the third expanded template to construct a third monitoring task;
calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and monitoring the operation of the road network according to the target monitoring task.
2. The template-based road network operation monitoring method according to claim 1, wherein the second monitoring sub-requirement includes at least two second historical tasks of the same type of monitoring scene, the second historical tasks are transcribed into a second monitoring template, and a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the second monitoring sub-requirement are loaded according to the second monitoring template to construct a second monitoring task, which includes:
transcribing the second historical task into a second monitoring template according to the monitoring layer directory, the time filtering parameter and the space filtering parameter;
and loading a target dynamic layer, a time filtering parameter and a space filtering parameter matched with the second monitoring sub-requirement according to a second monitoring template to obtain a second monitoring task.
3. The template-based road network operation monitoring method according to claim 2, wherein the step of loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter matched with the second monitoring sub-requirement according to a second monitoring template to obtain a second monitoring task comprises:
acquiring data of each monitoring scene of the same type of monitoring scenes included in the second monitoring sub-requirement;
and loading different target dynamic layers corresponding to each monitoring scene data by setting different time filtering parameters and different space filtering parameters according to a second monitoring template to obtain a second monitoring task.
4. The template-based road network operation monitoring method according to claim 3, wherein the monitoring requirement further comprises a monitoring object.
5. The template-based road network operation monitoring method according to claim 4, further comprising:
associating any target dynamic layer with a preset address access function to obtain a dynamic layer after the association function;
and determining a monitoring object identifier contained in the dynamic layer after the association function, and calling the address access function to access the monitoring object from the second monitoring task.
6. The template-based road network operation monitoring method according to claim 5, wherein said expanding the third history task to obtain a third expanded task, and said transcribing the third expanded task to a third expanded template comprises:
determining a monitoring object to be expanded, a quantitative parameter and/or a dynamic layer in the third history task;
adjusting the third history task according to the monitoring object to be expanded, the quantitative parameter and/or the dynamic layer to generate a third expansion task;
transcribing the third extended task into a third extended template.
7. The template-based road network operation monitoring method according to claim 1, wherein the setting of the spatial filtering parameters includes setting of administrative areas, road names and custom spatial ranges.
8. A template-based road network operation monitoring device, the device comprising:
the system comprises a demand acquisition module, a monitoring module and a monitoring module, wherein the demand acquisition module is used for acquiring monitoring demands, and the monitoring demands comprise monitoring layer catalogues, time filtering parameters and space filtering parameters;
the demand dismantling module is used for dismantling the monitoring demands into monitoring sub-demands, wherein the monitoring sub-demands comprise at least one of a first monitoring sub-demand, a second monitoring sub-demand and a third monitoring sub-demand, the first monitoring sub-demand is matched with a first historical task in the task library, the second monitoring sub-demand is matched with a second historical task in the task library, and the third monitoring sub-demand is matched with a third historical task in the task library;
the first construction module is used for acquiring a first historical task matched with a first monitoring sub-requirement when the monitoring sub-requirement contains the first monitoring sub-requirement, transcribing the first historical task into a first monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the first monitoring sub-requirement according to the first monitoring template to construct a first monitoring task;
the second construction module is used for acquiring a second historical task matched with a second monitoring sub-requirement when the monitoring sub-requirement contains the second monitoring sub-requirement, wherein the second monitoring sub-requirement comprises at least two second historical tasks of the same type of monitoring scene, transcribing the second historical task into a second monitoring template, and loading a target dynamic layer, a time filtering parameter and a space filtering parameter corresponding to the second monitoring sub-requirement according to the second monitoring template to construct the second monitoring task;
the third construction module is used for acquiring a third history task matched with a third monitoring sub-requirement when the monitoring sub-requirement contains the third monitoring sub-requirement, expanding the third history task to obtain a third expanded task, transcribing the third expanded task into a third expanded template, and loading a target dynamic layer, a temporal filtering parameter and a spatial filtering parameter corresponding to the third monitoring sub-requirement according to the third expanded template to construct a third monitoring task;
the task calling module is used for calling the first monitoring task, the second monitoring task and/or the third monitoring task to form a target monitoring task;
and the road network monitoring module is used for monitoring the operation of the road network according to the target monitoring task.
9. A computer device comprising a memory and a processor, wherein said memory has stored therein computer readable instructions which, when executed by said processor, cause said processor to perform the steps of the template based road network operation monitoring method according to any one of claims 1 to 7.
10. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the steps of the template-based road network operation monitoring method according to any one of claims 1 to 7.
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