CN117973784B - Water conservancy detection data management system and method based on task cooperation - Google Patents
Water conservancy detection data management system and method based on task cooperation Download PDFInfo
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Abstract
The invention relates to the technical field of water conservancy detection data management, in particular to a water conservancy detection data management system and method based on task cooperation, wherein the system comprises a cooperation demand analysis module which acquires a data sharing pool of each detection task, and generating a task cooperation requirement of each detection task data sharing pool, and generating a task cooperation re-inspection sequence of the water conservancy detection task by combining detection data corresponding to the detection task corresponding to each detection task data sharing pool. According to the invention, not only are detection tasks with abnormal detection results considered, but also the association influence relation among different detection tasks are considered, so that the screened detection tasks to be rechecked are more comprehensive; meanwhile, in the process of rechecking the detection task with abnormal detection results, the sequence of rechecking requirements corresponding to different detection tasks is considered, and effective management of the rechecking tasks can be realized according to the rechecking requirements of the detection tasks.
Description
Technical Field
The invention relates to the technical field of water conservancy detection data management, in particular to a water conservancy detection data management system and method based on task cooperation.
Background
The earthwork in the hydraulic engineering is taken as a basic component of hydraulic engineering construction, and the safety in the construction process is critical to the normal operation of the subsequent hydraulic engineering; and in the construction process, each detection task is required to be generated for each link in the construction process, and detection is performed so as to ensure the safety of the hydraulic engineering construction process.
In the existing water conservancy detection data management system based on task cooperation, only detection tasks with abnormal detection results are considered, and association influence relations among different detection tasks are not considered; in the process of carrying out the rechecking aiming at the detection tasks with abnormal detection results, the sequence of the rechecking requirements corresponding to different detection tasks is not considered, and the effective management of the rechecking tasks cannot be realized according to the rechecking requirements of the detection tasks, so that the prior art has larger defects.
Disclosure of Invention
The invention aims to provide a water conservancy detection data management system and method based on task cooperation, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a water conservancy detection data management method based on task cooperation comprises the following steps:
S1, acquiring each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering, and acquiring hydraulic engineering information of the detection area corresponding to each detection task;
S2, combining hydraulic engineering information of detection areas corresponding to different detection tasks to construct a hydraulic engineering detection task association chain, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain, and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
S3, acquiring each detection task data sharing pool, generating task cooperation requirements of each detection task data sharing pool, and generating a task cooperation rechecking sequence of the water conservancy detection task by combining detection data corresponding to the detection tasks corresponding to each detection task data sharing pool;
S4, marking abnormal detection task nodes in the task collaborative re-detection sequence of the water conservancy detection task, and feeding back a marking result and the task collaborative re-detection sequence of the water conservancy detection task to a responsible person corresponding to the corresponding water conservancy project as abnormal characteristic information to assist the corresponding responsible person to carry out management decision on re-detection requirements corresponding to the abnormal detection task nodes in the corresponding water conservancy project.
Further, the water resource project in the step S1 comprises a plurality of detection tasks, each detection task corresponds to one detection area, and the detection areas corresponding to different detection tasks are different;
The hydraulic engineering information of the detection area corresponding to each detection task comprises: a detection result, a detection result reference section, and a detection area;
The detection result reference interval is preset in a database;
and judging the detection task of which the corresponding detection result does not belong to the corresponding detection result reference interval as an abnormal detection task node.
Further, the method for constructing the hydraulic engineering detection task association chain in the step S2 comprises the following steps:
S201, acquiring detection areas corresponding to detection tasks, and acquiring construction progress plans of corresponding hydraulic engineering;
S202, selecting any two detection tasks from corresponding hydraulic engineering, respectively marking the detection tasks as a first detection task and a second detection task, and constructing a detection analysis data pair;
s203, judging whether the detection areas corresponding to the first detection task and the second detection task in the detection analysis data pair have an association relationship, wherein the association relationship indicates the condition that the intersection of the two corresponding detection areas is not an empty set or the construction priorities corresponding to the detection areas corresponding to the two corresponding detection tasks in the construction plan are different; the construction priority corresponding to the detection area corresponding to each detection task in the construction plan is preset in advance in the construction progress plan making process;
S204, acquiring detection analysis data pairs with association relations in all corresponding detection areas in corresponding hydraulic engineering, extracting association relations between two detection tasks corresponding to each detection analysis data pair respectively, and carrying out association relation fusion to generate a hydraulic engineering detection task association chain, wherein the hydraulic engineering detection task association chain is composed of a plurality of detection task nodes, and each detection task node corresponds to one detection task;
In the generated same hydraulic engineering detection task association chain, the detection task with high construction priority of the corresponding detection region is closer to an initial chain node than the detection task nodes with low construction priority of the corresponding detection region, each hydraulic engineering detection task association chain comprises an initial chain node, and the construction priority of the detection region corresponding to the initial chain node is higher than the construction priority of the detection regions respectively corresponding to other detection task nodes in the same hydraulic engineering detection task association chain;
The method for constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering in the S2 comprises the following steps:
S211, acquiring detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain;
s212, marking each abnormal detection task node in the hydraulic engineering detection task association chain;
S213, obtaining whether interference influence relationship exists between any two adjacent abnormal detection task nodes in the same hydraulic engineering detection task association chain, and marking as Q,
When L is more than or equal to L0 or 2.H2G 1/G is more than or equal to G, judging that Q has interference influence relation; otherwise, judging that the Q has no interference influence relationship;
The L represents the shortest distance between detection areas corresponding to the two corresponding abnormal detection task nodes respectively; l0 represents a reference spacing distance and L0 is a constant preset in a database; the method comprises the steps that G1 represents the total number of detection task nodes contained in a construction priority interval between construction priorities of corresponding two abnormal detection task nodes respectively corresponding to detection areas in corresponding hydraulic engineering detection task association chains, and the construction priority interval contains construction priorities of corresponding two abnormal detection task nodes respectively corresponding to the detection areas; g represents the absolute value of the difference value between the construction priorities of the corresponding two abnormal detection task nodes corresponding to the detection areas respectively; the H [ ] represents an carry-up rounding function; the abnormal fluctuation corresponding to each abnormal detection task node in the two abnormal detection task nodes corresponding to the H [ G1/G ] interferes with the chain length;
s214, constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
placing abnormal detection task nodes with interference influence relations in a hydraulic engineering detection task association chain and detection task nodes between the abnormal detection task nodes into the same detection task data sharing pool;
Aiming at two abnormal detection task nodes which do not have interference influence relation in a hydraulic engineering detection task association chain, judging detection task data sharing pools where the corresponding two abnormal detection task nodes are respectively positioned, and constructing a chain segment corresponding to each abnormal detection task node; the chain segment corresponding to each abnormal detection task node is all detection task nodes with the chain length interfered by the abnormal fluctuation of the corresponding abnormal detection task node, wherein the corresponding abnormal detection task node points to the chain segment of the other abnormal detection task node; and placing the detection task nodes in the chain segments corresponding to the obtained abnormality detection task nodes into a detection task data sharing pool where the corresponding abnormality detection task nodes are located.
The invention constructs a hydraulic engineering detection task association chain, which aims to analyze association conditions (execution priorities) among detection tasks in hydraulic engineering and provides data reference for constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering in subsequent steps; the detection task data sharing pools corresponding to the corresponding hydraulic engineering constructed in the invention are dynamically changed (the number of elements in each detection task data sharing pool is different).
Further, the method for generating the task collaboration requirements of each detection task data sharing pool in S3 includes the following steps:
s301, acquiring each detection task data sharing pool corresponding to hydraulic engineering, and marking the ith detection task data sharing pool as Ai;
S302, obtaining task cooperation requirements corresponding to Ai, and marking the task cooperation requirements as Bi;
the bi=rai·bai· (1+pi),
Wherein RAi represents the number of abnormal detection task nodes in Ai; BAi represents the ratio of the sum of the number of detection task nodes adjacent to the abnormal detection task nodes in Ai and the number of the abnormal detection task nodes in Ai to the number of elements in Ai in a hydraulic engineering detection task associated chain corresponding to Ai; pi represents the average value of detection deviation rates corresponding to abnormal detection task nodes in Ai; the detection deviation rate is equal to the absolute value of the quotient of the minimum deviation of the detection result of the corresponding abnormal detection task node and the detection result reference interval divided by the midpoint of the detection result reference interval;
When the detection result belongs to the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is 0; when the detection result is larger than the maximum value in the detection result reference section, the minimum deviation of the detection result and the maximum value in the detection result reference section is the difference value of the detection result and the maximum value in the detection result reference section; when the detection result is smaller than the minimum value of the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is the difference value between the minimum value of the detection result reference interval and the detection result.
When the task cooperation requirement of each detection task data sharing pool is generated, the task cooperation requirements of the corresponding detection task data sharing pool are quantized by comprehensively considering (RAi, BAi and Pi) from three aspects, and a data basis is provided for generating a task cooperation rechecking sequence of a water conservancy detection task in a subsequent step.
Further, the method for generating the task collaborative review sequence of the water conservancy detection task in the step S3 comprises the following steps:
S311, acquiring a union of elements in all detection task data sharing pools corresponding to the hydraulic engineering, and obtaining a retest reference set;
S312, obtaining the collaborative review comprehensive reference value corresponding to each element in the review reference set, marking the collaborative review comprehensive reference value corresponding to the j-th element in the review reference set as Wj,
Wj=BXj·（1+PXj），
BXj represents the task cooperation requirement corresponding to the detection task data sharing pool to which the j-th element in the retest reference set belongs; PXj represents the detection deviation rate corresponding to the detection task node corresponding to the j-th element in the re-detection reference set;
S313, sequencing each element in the re-inspection reference set according to the sequence from the large to the small of the corresponding collaborative re-inspection comprehensive reference value to obtain a task collaborative re-inspection sequence of the water conservancy detection task.
Furthermore, the abnormal detection task nodes marked in the task cooperation re-detection sequence of the water conservancy detection task are corresponding detection tasks for detecting data abnormality,
And when corresponding abnormal characteristic information is fed back to a responsible person corresponding to the corresponding hydraulic engineering, feeding back a patrol task data sharing pool to which each detection task belongs in the task collaborative re-detection sequence of the hydraulic detection task.
A water conservancy detection data management system based on task collaboration, the system comprising the following modules:
The hydraulic detection data acquisition module acquires each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering and acquires hydraulic engineering information of the detection area corresponding to each detection task;
the data sharing pool construction module is used for constructing a hydraulic engineering detection task association chain by combining hydraulic engineering information of detection areas corresponding to different detection tasks, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
The collaborative demand analysis module is used for acquiring each detection task data sharing pool, generating task collaborative demands of each detection task data sharing pool, and generating a task collaborative re-inspection sequence of a water conservancy detection task by combining detection data corresponding to the detection task corresponding to each detection task data sharing pool;
The re-inspection requirement management module marks abnormal detection task nodes in the task cooperation re-inspection sequence of the water conservancy detection task, and feeds the marked result and the task cooperation re-inspection sequence of the water conservancy detection task back to responsible persons corresponding to the corresponding water conservancy projects as abnormal characteristic information to assist the corresponding responsible persons in making management decisions on the re-inspection requirements corresponding to the abnormal detection task nodes in the corresponding water conservancy projects.
Furthermore, the collaborative demand analysis module comprises a task collaborative demand analysis unit and a task collaborative review sequence generation unit,
The task cooperation requirement analysis unit acquires each detection task data sharing pool and generates task cooperation requirements of each detection task data sharing pool;
and the task collaborative re-inspection sequence generation unit combines detection data corresponding to the detection tasks corresponding to each detection task data sharing pool to generate a task collaborative re-inspection sequence of the water conservancy detection tasks.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, not only are detection tasks with abnormal detection results considered, but also the association influence relation among different detection tasks are considered, so that the screened detection tasks to be rechecked are more comprehensive; meanwhile, in the process of rechecking the detection task with abnormal detection results, the sequence of rechecking requirements corresponding to different detection tasks is considered, and effective management of the rechecking tasks can be realized according to the rechecking requirements of the detection tasks.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of a water conservancy detection data management method based on task collaboration;
fig. 2 is a schematic structural diagram of a water conservancy detection data management system based on task collaboration.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: a water conservancy detection data management method based on task cooperation comprises the following steps:
S1, acquiring each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering, and acquiring hydraulic engineering information of the detection area corresponding to each detection task;
the water resource project in the S1 comprises a plurality of detection tasks, each detection task corresponds to one detection area, and the detection areas corresponding to different detection tasks are different;
The hydraulic engineering information of the detection area corresponding to each detection task comprises: a detection result, a detection result reference section, and a detection area;
The detection result reference interval is preset in a database;
and judging the detection task of which the corresponding detection result does not belong to the corresponding detection result reference interval as an abnormal detection task node.
S2, combining hydraulic engineering information of detection areas corresponding to different detection tasks to construct a hydraulic engineering detection task association chain, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain, and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
The method for constructing the hydraulic engineering detection task association chain in the S2 comprises the following steps:
S201, acquiring detection areas corresponding to detection tasks, and acquiring construction progress plans of corresponding hydraulic engineering;
S202, selecting any two detection tasks from corresponding hydraulic engineering, respectively marking the detection tasks as a first detection task and a second detection task, and constructing a detection analysis data pair;
s203, judging whether the detection areas corresponding to the first detection task and the second detection task in the detection analysis data pair have an association relationship, wherein the association relationship indicates the condition that the intersection of the two corresponding detection areas is not an empty set or the construction priorities corresponding to the detection areas corresponding to the two corresponding detection tasks in the construction plan are different; the construction priority corresponding to the detection area corresponding to each detection task in the construction plan is preset in advance in the construction progress plan making process;
S204, acquiring detection analysis data pairs with association relations in all corresponding detection areas in corresponding hydraulic engineering, extracting association relations between two detection tasks corresponding to each detection analysis data pair respectively, and carrying out association relation fusion to generate a hydraulic engineering detection task association chain, wherein the hydraulic engineering detection task association chain is composed of a plurality of detection task nodes, and each detection task node corresponds to one detection task;
In the generated same hydraulic engineering detection task association chain, the detection task with high construction priority of the corresponding detection region is closer to an initial chain node than the detection task nodes with low construction priority of the corresponding detection region, each hydraulic engineering detection task association chain comprises an initial chain node, and the construction priority of the detection region corresponding to the initial chain node is higher than the construction priority of the detection regions respectively corresponding to other detection task nodes in the same hydraulic engineering detection task association chain;
In this embodiment, when the number of initial chain nodes in each hydraulic engineering detection task associated chain is one or more, and the number of initial chain nodes in the same hydraulic engineering detection task associated chain is multiple, construction priorities of detection areas corresponding to the multiple initial chain link points are the same, and the multiple initial chain nodes are simultaneously connected with a later chain link point in the same hydraulic engineering detection task associated chain;
Similarly, among the rest of chain nodes except for the initial chain node in the same hydraulic engineering detection task association chain, the link points with the same construction priority of the corresponding detection areas may simultaneously correspond to a plurality of link points, and the connection mode in the corresponding hydraulic engineering detection task association chain is the same as the connection mode of the plurality of initial chain nodes in the hydraulic engineering detection task association chain (simultaneously connected with the next chain node or the previous link point in the same hydraulic engineering detection task association chain, the construction priority of the detection area corresponding to the next link point in the same hydraulic engineering detection task association chain is lower than the construction priority of the detection areas corresponding to the plurality of link nodes at the same time, otherwise, the construction priority of the detection area corresponding to the previous link point in the same hydraulic engineering detection task association chain is higher than the construction priority of the plurality of link nodes at the same time).
The method for constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering in the S2 comprises the following steps:
S211, acquiring detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain;
s212, marking each abnormal detection task node in the hydraulic engineering detection task association chain;
S213, obtaining whether interference influence relationship exists between any two adjacent abnormal detection task nodes in the same hydraulic engineering detection task association chain, and marking as Q,
When L is more than or equal to L0 or 2.H2G 1/G is more than or equal to G, judging that Q has interference influence relation; otherwise, judging that the Q has no interference influence relationship;
The L represents the shortest distance between detection areas corresponding to the two corresponding abnormal detection task nodes respectively; l0 represents a reference spacing distance and L0 is a constant preset in a database; the method comprises the steps that G1 represents the total number of detection task nodes contained in a construction priority interval between construction priorities of corresponding two abnormal detection task nodes respectively corresponding to detection areas in corresponding hydraulic engineering detection task association chains, and the construction priority interval contains construction priorities of corresponding two abnormal detection task nodes respectively corresponding to the detection areas; g represents the absolute value of the difference value between the construction priorities of the corresponding two abnormal detection task nodes corresponding to the detection areas respectively; the H [ ] represents an carry-up rounding function; the abnormal fluctuation corresponding to each abnormal detection task node in the two abnormal detection task nodes corresponding to the H [ G1/G ] interferes with the chain length;
s214, constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
placing abnormal detection task nodes with interference influence relations in a hydraulic engineering detection task association chain and detection task nodes between the abnormal detection task nodes into the same detection task data sharing pool;
Aiming at two abnormal detection task nodes which do not have interference influence relation in a hydraulic engineering detection task association chain, judging detection task data sharing pools where the corresponding two abnormal detection task nodes are respectively positioned, and constructing a chain segment corresponding to each abnormal detection task node; the chain segment corresponding to each abnormal detection task node is all detection task nodes with the chain length interfered by the abnormal fluctuation of the corresponding abnormal detection task node, wherein the corresponding abnormal detection task node points to the chain segment of the other abnormal detection task node; and placing the detection task nodes in the chain segments corresponding to the obtained abnormality detection task nodes into a detection task data sharing pool where the corresponding abnormality detection task nodes are located.
S3, acquiring each detection task data sharing pool, generating task cooperation requirements of each detection task data sharing pool, and generating a task cooperation rechecking sequence of the water conservancy detection task by combining detection data corresponding to the detection tasks corresponding to each detection task data sharing pool;
the method for generating the task cooperation requirement of each detection task data sharing pool in the S3 comprises the following steps:
s301, acquiring each detection task data sharing pool corresponding to hydraulic engineering, and marking the ith detection task data sharing pool as Ai;
S302, obtaining task cooperation requirements corresponding to Ai, and marking the task cooperation requirements as Bi;
the bi=rai·bai· (1+pi),
Wherein RAi represents the number of abnormal detection task nodes in Ai; BAi represents the ratio of the sum of the number of detection task nodes adjacent to the abnormal detection task nodes in Ai and the number of the abnormal detection task nodes in Ai to the number of elements in Ai in a hydraulic engineering detection task associated chain corresponding to Ai; pi represents the average value of detection deviation rates corresponding to abnormal detection task nodes in Ai; the detection deviation rate is equal to the absolute value of the quotient of the minimum deviation of the detection result of the corresponding abnormal detection task node and the detection result reference interval divided by the midpoint of the detection result reference interval;
When the detection result belongs to the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is 0; when the detection result is larger than the maximum value in the detection result reference section, the minimum deviation of the detection result and the maximum value in the detection result reference section is the difference value of the detection result and the maximum value in the detection result reference section; when the detection result is smaller than the minimum value of the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is the difference value between the minimum value of the detection result reference interval and the detection result.
The method for generating the task collaborative re-inspection sequence of the water conservancy detection task in the S3 comprises the following steps:
S311, acquiring a union of elements in all detection task data sharing pools corresponding to the hydraulic engineering, and obtaining a retest reference set;
S312, obtaining the collaborative review comprehensive reference value corresponding to each element in the review reference set, marking the collaborative review comprehensive reference value corresponding to the j-th element in the review reference set as Wj,
Wj=BXj·（1+PXj），
BXj represents the task cooperation requirement corresponding to the detection task data sharing pool to which the j-th element in the retest reference set belongs; PXj represents the detection deviation rate corresponding to the detection task node corresponding to the j-th element in the re-detection reference set;
S313, sequencing each element in the re-inspection reference set according to the sequence from the large to the small of the corresponding collaborative re-inspection comprehensive reference value to obtain a task collaborative re-inspection sequence of the water conservancy detection task.
S4, marking abnormal detection task nodes in the task collaborative re-detection sequence of the water conservancy detection task, and feeding back a marking result and the task collaborative re-detection sequence of the water conservancy detection task to a responsible person corresponding to the corresponding water conservancy project as abnormal characteristic information to assist the corresponding responsible person to carry out management decision on re-detection requirements corresponding to the abnormal detection task nodes in the corresponding water conservancy project.
The abnormal detection task nodes marked in the water conservancy detection task cooperative re-detection sequence are corresponding detection tasks for detecting data abnormality,
And when corresponding abnormal characteristic information is fed back to a responsible person corresponding to the corresponding hydraulic engineering, feeding back a patrol task data sharing pool to which each detection task belongs in the task collaborative re-detection sequence of the hydraulic detection task.
As shown in fig. 2, a water conservancy detection data management system based on task cooperation comprises the following modules:
The hydraulic detection data acquisition module acquires each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering and acquires hydraulic engineering information of the detection area corresponding to each detection task;
the data sharing pool construction module is used for constructing a hydraulic engineering detection task association chain by combining hydraulic engineering information of detection areas corresponding to different detection tasks, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
The collaborative demand analysis module is used for acquiring each detection task data sharing pool, generating task collaborative demands of each detection task data sharing pool, and generating a task collaborative re-inspection sequence of a water conservancy detection task by combining detection data corresponding to the detection task corresponding to each detection task data sharing pool;
The re-inspection requirement management module marks abnormal detection task nodes in the task cooperation re-inspection sequence of the water conservancy detection task, and feeds the marked result and the task cooperation re-inspection sequence of the water conservancy detection task back to responsible persons corresponding to the corresponding water conservancy projects as abnormal characteristic information to assist the corresponding responsible persons in making management decisions on the re-inspection requirements corresponding to the abnormal detection task nodes in the corresponding water conservancy projects.
The collaborative demand analysis module comprises a task collaborative demand analysis unit and a task collaborative review sequence generation unit,
The task cooperation requirement analysis unit acquires each detection task data sharing pool and generates task cooperation requirements of each detection task data sharing pool;
and the task collaborative re-inspection sequence generation unit combines detection data corresponding to the detection tasks corresponding to each detection task data sharing pool to generate a task collaborative re-inspection sequence of the water conservancy detection tasks.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A water conservancy detection data management method based on task cooperation is characterized by comprising the following steps:
S1, acquiring each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering, and acquiring hydraulic engineering information of the detection area corresponding to each detection task;
S2, combining hydraulic engineering information of detection areas corresponding to different detection tasks to construct a hydraulic engineering detection task association chain, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain, and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
S3, acquiring each detection task data sharing pool, generating task cooperation requirements of each detection task data sharing pool, and generating a task cooperation rechecking sequence of the water conservancy detection task by combining detection data corresponding to the detection tasks corresponding to each detection task data sharing pool;
S4, marking abnormal detection task nodes in the task collaborative re-detection sequence of the water conservancy detection task, and feeding back a marking result and the task collaborative re-detection sequence of the water conservancy detection task to a responsible person corresponding to the corresponding water conservancy project as abnormal characteristic information to assist the corresponding responsible person to carry out management decision on re-detection requirements corresponding to the abnormal detection task nodes in the corresponding water conservancy project;
The method for constructing the hydraulic engineering detection task association chain in the S2 comprises the following steps:
S201, acquiring detection areas corresponding to detection tasks, and acquiring construction progress plans of corresponding hydraulic engineering;
S202, selecting any two detection tasks from corresponding hydraulic engineering, respectively marking the detection tasks as a first detection task and a second detection task, and constructing a detection analysis data pair;
s203, judging whether the detection areas corresponding to the first detection task and the second detection task in the detection analysis data pair have an association relationship, wherein the association relationship indicates the condition that the intersection of the two corresponding detection areas is not an empty set or the construction priorities corresponding to the detection areas corresponding to the two corresponding detection tasks in the construction plan are different; the construction priority corresponding to the detection area corresponding to each detection task in the construction plan is preset in advance in the construction progress plan making process;
S204, acquiring detection analysis data pairs with association relations in all corresponding detection areas in corresponding hydraulic engineering, extracting association relations between two detection tasks corresponding to each detection analysis data pair respectively, and carrying out association relation fusion to generate a hydraulic engineering detection task association chain, wherein the hydraulic engineering detection task association chain is composed of a plurality of detection task nodes, and each detection task node corresponds to one detection task;
In the generated same hydraulic engineering detection task association chain, the detection task with high construction priority of the corresponding detection region is closer to an initial chain node than the detection task nodes with low construction priority of the corresponding detection region, each hydraulic engineering detection task association chain comprises an initial chain node, and the construction priority of the detection region corresponding to the initial chain node is higher than the construction priority of the detection regions respectively corresponding to other detection task nodes in the same hydraulic engineering detection task association chain;
The method for constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering in the S2 comprises the following steps:
S211, acquiring detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain;
s212, marking each abnormal detection task node in the hydraulic engineering detection task association chain;
S213, obtaining whether interference influence relationship exists between any two adjacent abnormal detection task nodes in the same hydraulic engineering detection task association chain, and marking as Q,
When L is more than or equal to L0 or 2.H2G 1/G is more than or equal to G, judging that Q has interference influence relation; otherwise, judging that the Q has no interference influence relationship;
The L represents the shortest distance between detection areas corresponding to the two corresponding abnormal detection task nodes respectively; l0 represents a reference spacing distance and L0 is a constant preset in a database; the method comprises the steps that G1 represents the total number of detection task nodes contained in a construction priority interval between construction priorities of corresponding two abnormal detection task nodes respectively corresponding to detection areas in corresponding hydraulic engineering detection task association chains, and the construction priority interval contains construction priorities of corresponding two abnormal detection task nodes respectively corresponding to the detection areas; g represents the absolute value of the difference value between the construction priorities of the corresponding two abnormal detection task nodes corresponding to the detection areas respectively; the H [ ] represents an carry-up rounding function; the abnormal fluctuation corresponding to each abnormal detection task node in the two abnormal detection task nodes corresponding to the H [ G1/G ] interferes with the chain length;
s214, constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
placing abnormal detection task nodes with interference influence relations in a hydraulic engineering detection task association chain and detection task nodes between the abnormal detection task nodes into the same detection task data sharing pool;
Aiming at two abnormal detection task nodes which do not have interference influence relation in a hydraulic engineering detection task association chain, judging detection task data sharing pools where the corresponding two abnormal detection task nodes are respectively positioned, and constructing a chain segment corresponding to each abnormal detection task node; the chain segment corresponding to each abnormal detection task node is all detection task nodes with the chain length interfered by the abnormal fluctuation of the corresponding abnormal detection task node, wherein the corresponding abnormal detection task node points to the chain segment of the other abnormal detection task node; placing the detection task nodes in the chain segments corresponding to the obtained abnormality detection task nodes into a detection task data sharing pool where the corresponding abnormality detection task nodes are located;
the method for generating the task cooperation requirement of each detection task data sharing pool in the S3 comprises the following steps:
s301, acquiring each detection task data sharing pool corresponding to hydraulic engineering, and marking the ith detection task data sharing pool as Ai;
S302, obtaining task cooperation requirements corresponding to Ai, and marking the task cooperation requirements as Bi;
The bi=rai·bai· (1+pi),
Wherein RAi represents the number of abnormal detection task nodes in Ai; BAi represents the ratio of the sum of the number of detection task nodes adjacent to the abnormal detection task nodes in Ai and the number of the abnormal detection task nodes in Ai to the number of elements in Ai in a hydraulic engineering detection task associated chain corresponding to Ai; pi represents the average value of detection deviation rates corresponding to abnormal detection task nodes in Ai; the detection deviation rate is equal to the absolute value of the quotient of the minimum deviation of the detection result of the corresponding abnormal detection task node and the detection result reference interval divided by the midpoint of the detection result reference interval;
when the detection result belongs to the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is 0; when the detection result is larger than the maximum value in the detection result reference section, the minimum deviation of the detection result and the maximum value in the detection result reference section is the difference value of the detection result and the maximum value in the detection result reference section; when the detection result is smaller than the minimum value of the detection result reference interval, the minimum deviation of the detection result reference interval and the detection result reference interval is the difference value between the minimum value of the detection result reference interval and the detection result;
the method for generating the task collaborative re-inspection sequence of the water conservancy detection task in the S3 comprises the following steps:
S311, acquiring a union of elements in all detection task data sharing pools corresponding to the hydraulic engineering, and obtaining a retest reference set;
S312, obtaining the collaborative review comprehensive reference value corresponding to each element in the review reference set, marking the collaborative review comprehensive reference value corresponding to the j-th element in the review reference set as Wj,
Wj＝BXj·(1+PXj)，
BXj represents the task cooperation requirement corresponding to the detection task data sharing pool to which the j-th element in the retest reference set belongs; PXj represents the detection deviation rate corresponding to the detection task node corresponding to the j-th element in the re-detection reference set;
S313, sequencing each element in the re-inspection reference set according to the sequence from the large to the small of the corresponding collaborative re-inspection comprehensive reference value to obtain a task collaborative re-inspection sequence of the water conservancy detection task.
2. The water conservancy detection data management method based on task coordination according to claim 1, wherein the method comprises the following steps: the water resource project in the S1 comprises a plurality of detection tasks, each detection task corresponds to one detection area, and the detection areas corresponding to different detection tasks are different;
The hydraulic engineering information of the detection area corresponding to each detection task comprises: a detection result, a detection result reference section, and a detection area;
The detection result reference interval is preset in a database;
and judging the detection task of which the corresponding detection result does not belong to the corresponding detection result reference interval as an abnormal detection task node.
3. The water conservancy detection data management method based on task coordination according to claim 2, wherein the method comprises the following steps: the abnormal detection task nodes marked in the water conservancy detection task cooperative re-detection sequence are corresponding detection tasks for detecting data abnormality,
And when corresponding abnormal characteristic information is fed back to a responsible person corresponding to the corresponding hydraulic engineering, feeding back a patrol task data sharing pool to which each detection task belongs in the task collaborative re-detection sequence of the hydraulic detection task.
4. A water conservancy detection data management system based on task coordination, which performs the water conservancy detection data management method based on task coordination as set forth in claim 1, characterized in that the system comprises the following modules:
The hydraulic detection data acquisition module acquires each detection task and a detection area corresponding to the corresponding task in the hydraulic engineering and acquires hydraulic engineering information of the detection area corresponding to each detection task;
the data sharing pool construction module is used for constructing a hydraulic engineering detection task association chain by combining hydraulic engineering information of detection areas corresponding to different detection tasks, analyzing detection data corresponding to each detection task in the constructed hydraulic engineering detection task association chain and constructing each detection task data sharing pool corresponding to the corresponding hydraulic engineering;
The collaborative demand analysis module is used for acquiring each detection task data sharing pool, generating task collaborative demands of each detection task data sharing pool, and generating a task collaborative re-inspection sequence of a water conservancy detection task by combining detection data corresponding to the detection task corresponding to each detection task data sharing pool;
The re-inspection demand management module marks abnormal detection task nodes in the task cooperation re-inspection sequence of the water conservancy detection task, and feeds the marked result and the task cooperation re-inspection sequence of the water conservancy detection task back to a responsible person corresponding to the corresponding water conservancy project as abnormal characteristic information to assist the corresponding responsible person in making management decisions on the re-inspection demands corresponding to the abnormal detection task nodes in the corresponding water conservancy project;
The collaborative demand analysis module comprises a task collaborative demand analysis unit and a task collaborative review sequence generation unit,
The task cooperation requirement analysis unit acquires each detection task data sharing pool and generates task cooperation requirements of each detection task data sharing pool;
and the task collaborative re-inspection sequence generation unit combines detection data corresponding to the detection tasks corresponding to each detection task data sharing pool to generate a task collaborative re-inspection sequence of the water conservancy detection tasks.
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