CN113111967A - Isolation deduction method and device for nuclear power station problem equipment - Google Patents
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Abstract
The invention relates to an isolation deduction method and device for nuclear power station problem equipment, relating to the technical field of nuclear power station safe operation, wherein conflict identification analysis is carried out on the obtained isolation data of the problem equipment to obtain an isolation conflict electronic list comprising a plurality of pieces of isolation conflict data, then isolation optimization is carried out on the isolation conflict electronic list to obtain an isolation optimization result, and finally the isolation optimization result is displayed through a visual interactive interface, so that the isolation optimization result can be displayed more simply and visually, conflict identification analysis and isolation optimization do not need to be carried out manually, the occurrence of error and leakage is avoided, the experience requirement of isolation deduction of workers is reduced, the preparation work of the problem equipment before overhaul activity can be rapidly finished, the overhaul period is shortened, the nuclear power station can enter a normal power generation state in advance, and therefore, the isolation deduction efficiency and accuracy can be effectively improved, and the experience requirement and cost of isolation deduction of workers can be reduced.
Description
Technical Field
The application relates to the technical field of safe operation of nuclear power stations, in particular to an isolation deduction method and device for problem equipment of a nuclear power station.
Background
In a nuclear power plant, there are various kinds of equipments, and each equipment may have various problems during a long time use, so that a major repair work is required for the problematic equipments at intervals. In order to ensure that the overhaul activity can be completed safely and efficiently, some preparation work needs to be carried out before the overhaul activity starts, the preparation work comprises the steps of presetting corresponding work orders (each work order corresponds to equipment needing to be maintained) by workers, presetting corresponding isolation according to the work orders, carrying out isolation conflict check, generating an isolation conflict list, and finally adjusting the preset isolation and the corresponding work orders by the workers according to the isolation conflict list, so that the accuracy of the preparation work before the overhaul activity is ensured, and safety accidents are prevented from happening in the overhaul process.
However, the traditional method mainly depends on manual self-checking of the preset work order and the preset isolation, which not only has high requirements on the experience of workers, but also has low efficiency, is easy to miss and leak, and has the problem of high cost.
Disclosure of Invention
The embodiment of the application provides an isolation deduction method and device for nuclear power station problem equipment, and aims to solve the problems of low working efficiency, poor accuracy, high cost and high requirements on experience of workers due to manual isolation deduction in the related art.
In a first aspect, an isolation deduction method for problem equipment of a nuclear power plant is provided, and the method comprises the following steps: obtaining isolation data of the problem equipment;
performing conflict recognition analysis on the isolation data of the problem equipment to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data;
performing isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result;
and importing the isolation optimization result into a visual interactive interface.
In some embodiments, before the obtaining the isolation data of the problem device, the method further includes:
acquiring work order information and preset isolation information of the problem equipment;
calculating isolation data of the problem equipment according to the work order information and the isolation information;
and importing the isolation data of the problem equipment into a service library.
In some embodiments, before performing conflict recognition analysis on the isolation data of the problem device to obtain an isolation conflict electronic list, where the isolation conflict electronic list includes a plurality of pieces of isolation conflict data, the method further includes: and importing the preset isolation conflict rule into a rule base.
In some embodiments, the performing conflict recognition analysis on the isolation data of the problem device to obtain an isolation conflict electronic list, where the isolation conflict electronic list includes a plurality of pieces of isolation conflict data, includes:
and performing conflict recognition analysis on the isolation data of the problem equipment according to the preset isolation conflict rule to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data.
In some embodiments, the performing isolation optimization on the isolation conflict electronic manifest to obtain an isolation optimization result includes:
acquiring two isolated conflict data;
comparing the earliest finishing overhaul time, the latest starting overhaul time and the planned finishing overhaul time of the two isolation conflict data to obtain a comparison result;
and optimizing the overhaul time of the isolation conflict data according to the comparison result to obtain an isolation optimization result.
In a second aspect, an isolation deduction device for problem equipment of a nuclear power plant is provided, which comprises:
a data acquisition unit for acquiring isolation data of the problem device;
the conflict recognition unit is used for carrying out conflict recognition analysis on the isolation data of the problem equipment to obtain an isolation conflict electronic list, and the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data;
the isolation optimization unit is used for carrying out isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result;
and the dynamic visualization unit is used for importing the isolation optimization result into a visual interactive interface.
In some embodiments, the isolation deduction system further comprises an isolation data import unit for:
acquiring work order information and preset isolation information of the problem equipment;
calculating isolation data of the problem equipment according to the work order information and the isolation information;
and importing the isolation data of the problem equipment into a service library.
In some embodiments, the isolation deduction system further comprises a conflict rule importing unit configured to: and importing the preset isolation conflict rule into a rule base.
In some embodiments, the conflict recognition unit is specifically configured to:
and performing conflict recognition analysis on the isolation data of the problem equipment according to the preset isolation conflict rule to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data.
In some embodiments, the isolation optimization unit is specifically configured to:
acquiring two isolated conflict data;
comparing the earliest finishing overhaul time, the latest starting overhaul time and the planned finishing overhaul time of the two isolation conflict data to obtain a comparison result;
and optimizing the overhaul time of the isolation conflict data according to the comparison result to obtain an isolation optimization result.
The beneficial effect that technical scheme that this application provided brought includes: the efficiency and the accuracy of isolation deduction can be effectively improved, and the experience requirements and the cost of isolation deduction of workers can be reduced.
The embodiment of the application provides an isolation deduction method and device for nuclear power station problem equipment, conflict identification analysis is carried out on the obtained isolation data of the problem equipment to obtain an isolation conflict electronic list comprising a plurality of pieces of isolation conflict data, then isolation optimization is carried out on the isolation conflict electronic list to obtain an isolation optimization result, finally the isolation optimization result is displayed through a visual interactive interface, so that the isolation optimization result can be displayed more simply and visually, conflict identification analysis and isolation optimization do not need to be carried out manually, the occurrence of error and leakage is avoided, the experience requirement of isolation deduction of workers is reduced, the preparation work of the problem equipment before major repair activities can be rapidly finished, the safety is ensured, the major repair period is shortened, the nuclear power station can enter a normal power generation state in advance, and the quality improvement effect is obvious, therefore, the isolation deduction method and the device can effectively improve the efficiency and accuracy of the isolation deduction, and can reduce the experience requirements and cost of the isolation deduction of workers.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an isolation deduction method for a problem device in a nuclear power plant according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a specific isolation deduction method for a problem device in a nuclear power plant according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a specific process of isolated data collision identification according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an isolation deduction device for a problem equipment of a nuclear power plant according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides an isolation deduction method and device for nuclear power station problem equipment, and the method and device can solve the problems of low working efficiency, poor accuracy, high cost and high requirements for experience of workers due to manual isolation deduction in the related technology.
Fig. 1 is a schematic flowchart of an isolation deduction method for a problem equipment of a nuclear power plant according to an embodiment of the present application, which includes the following steps:
s1: obtaining isolation data of the problem equipment;
further, before obtaining the isolation data of the problem device, the method further comprises: acquiring the work order information and preset isolation information of the problem equipment, calculating isolation data of the problem equipment according to the work order information and the isolation information, importing the isolation data of the problem equipment into a service library, namely, the isolation data of the problem equipment, such as the earliest starting time, the latest starting time, the earliest ending time, the latest ending time and the like of the isolation of the problem equipment can be calculated according to the association relation (shown in table 3) between the work order information (shown in table 1) and the preset isolation information (the estimation method is that the minimum value of the earliest starting time in the associated work order is taken as the earliest starting time of the isolation, the minimum value of the latest starting time in the associated work order is taken as the latest starting time of the isolation, the maximum value of the earliest ending time in the associated work order is taken as the earliest ending time of the isolation, and the maximum value of the latest ending time in the associated work order is taken as the latest ending time of the isolation), and importing the isolated data into a service library to obtain an isolated data table (see table 4);
TABLE 1 work order information sheet
TABLE 2 isolation information Table
Table 3 association relation table of work order information and isolation information
| Isolation number | Work order number |
| GL_2020_001 | GD_2020_DX_001 |
| GL_2020_001 | GD_2020_Dx_002 |
| GL_2020_002 | GD_2020_DX_003 |
| GL_2020_003 | GD_2020_Dx_004 |
| GL_2020_004 | GD_2020_DX_005 |
Table 4 isolation data table
Further, before obtaining the isolation data of the problem device, the method further comprises: importing a preset isolation conflict rule into a rule base, wherein the isolation conflict rule comprises the following contents:
(1) the boundary devices are the same and the listing states of the boundary devices are not consistent: forbidding;
(2) the border devices are identical and the tiles of the border devices are not consistent: a warning;
(3) the boundary device is the same as the work object device: a warning;
(4) and (3) the other: allowing;
s2: performing conflict recognition analysis on isolation data of the problematic equipment to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data;
as shown in table 4, the isolation number GL _2020_001 and the isolation number GL _2020_002 have an intersection in time, and have the same border device SB _2_1_ RCP _006VP, and the listing states of the border devices are inconsistent: the isolation number GL _2020_001 is LC and the isolation number GL _2020_002 is O, and the case of "forbidden" according to the isolation conflict rule "the boundary devices are identical and the boundary registration states are not identical" configured in the rule base, so that the detection result shows that there is a conflict, and the isolation conflict data of the isolation number GL _2020_001 and the isolation number GL _2020_002 are recorded; similarly, conflict detection of all other isolation data is completed, and finally an isolation conflict electronic list is generated, which is shown in table 5;
TABLE 5 isolation conflict electronic checklist
S3: performing isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result;
further, acquiring two isolation conflict data, comparing the earliest finishing maintenance time, the latest starting maintenance time and the planned finishing maintenance time of the two isolation conflict data to obtain a comparison result, optimizing the maintenance time of the isolation conflict data according to the comparison result to obtain an isolation optimization result, namely, performing optimization analysis on the isolation data in the service library according to the isolation conflict rules in the rule library by an isolation adjustment optimization algorithm, for example: the isolation number GL _2020_001 and the isolation number GL _2020_002 intersect in time, and there is the same border device SB _2_1_ RCP _006VP, and the border device registering states are not consistent: the isolation number GL _2020_001 is LC and the isolation number GL _2020_002 is O, and the condition that "boundary devices are the same and boundary listing states are not consistent" is "forbidden" according to the isolation conflict rule configured in the rule base, so the isolation number GL _2020_001 and the isolation GL _2020_002 are adjusted to have no intersection in time, so as to avoid conflict, that is, the planned starting time of the isolation number GL _2020_002 is moved backwards to 2020.3.10, and similarly, the optimization analysis of all other isolation data is completed, and all the isolation optimization results are formed into an adjustment optimization proposal, which is shown in table 6;
TABLE 6 isolation optimization results table
S4: and importing the isolation optimization result into a visual interactive interface.
According to the embodiment of the application, the isolation conflict electronic list and the isolation optimization result can be simultaneously led into the visual interactive interface, namely the isolation optimization result is displayed in a human-computer interface mode, the isolation optimization result can be displayed more simply and visually, conflict recognition analysis and isolation optimization are not required to be performed manually, the occurrence of error and leakage is avoided, the experience requirement of isolation and deduction of workers is reduced, the preparation work of problem equipment before overhaul activities can be completed quickly, the safety is guaranteed, the overhaul period is shortened, the nuclear power station can enter a normal power generation state in advance, the effect of quality improvement and efficiency improvement is obvious, therefore, the efficiency and the accuracy of isolation and deduction can be effectively improved, and the experience requirement and the cost of isolation and deduction of workers can be reduced.
Referring to fig. 2, an isolation deduction method provided in the embodiment of the present application specifically includes:
n1: initializing two isolation sets in advance in the memory, wherein the two isolation sets comprise a temporary isolation set and an optimized isolation set, and turning to the step N2;
the system comprises a business base and a rule base, wherein the business base stores isolation data of problem equipment, and the rule base stores isolation conflict rules;
n2: storing the isolation data in the service library according to the sequence of the isolation plan starting time into the temporary isolation set, and turning to the step N3;
n3: judging whether the temporary isolation set is an empty set, if so, executing a step N15, otherwise, turning to a step N4;
n4: taking an isolated data from the temporary isolated set as a current isolated data, and turning to the step N5;
n5: judging whether isolated data which is not subjected to conflict identification detection with the current isolated data exists in the temporary isolated set (hereinafter referred to as contrast isolation), if not, turning to the step N6, and if so, turning to the step N7;
n6: storing the current isolation data into the optimized isolation set, and turning to the step N3;
n7: sequentially using the comparison isolated data in the temporary isolated set and the current isolated data to execute pairwise conflict identification detection, and turning to the step N8;
n8: judging whether the comparison isolation data conflicts with the current isolation data or not, and if not, turning to the step N5; if yes, go to step N9;
referring to fig. 3, a specific process of identifying and detecting the isolated data collision includes:
p1: judging whether the planned completion time of the current isolation data is smaller than the planned starting time of the comparison isolation data, if so, executing a step P11, and if not, turning to a step P2;
p2: judging whether the boundary equipment has the working object equipment (namely problem equipment), if so, turning to the step P3, otherwise, turning to the step P4;
p3: recording the result into a "warning" class of the proposed result set, and marking the conflict type as that the boundary device is a work object device, and proceeding to step P4;
p4: judging whether the boundary equipment of the current isolation data and the boundary equipment of the comparison isolation data use the same equipment, if so, turning to the step P5, and if not, executing the step P11;
p5: judging whether the card hanging states of the boundary equipment are consistent, if so, turning to the step P6, otherwise, executing the step P8;
p6: judging whether the types of the labels hung on the boundary equipment are the same, if so, executing a step P11, otherwise, turning to a step P7;
p7: judging whether the label types conflict or not, if so, turning to the step P9, otherwise, executing the step P11;
p8: recording the result into a forbidden class of the suggested result set, marking the conflict type as inconsistent listing state, and going to step P10;
p9: recording the result into a 'forbidden' class of the suggested result set, and marking the conflict type as a label type conflict, and going to step P10;
p10: the current isolation data conflicts with the comparison isolation data;
p11: the current isolation data and the comparison isolation data do not conflict;
n9: judging whether the earliest ending time of the current isolation data is greater than or equal to the latest starting time of the comparison isolation data, if so, executing a step N11, otherwise, turning to a step N10;
n10: judging whether the latest starting time of the comparison isolation data is greater than or equal to the planned ending time of the current isolation data, if so, executing a step N12, and if not, executing a step N13;
n11: removing the contrast isolated data from the temporary isolated set and proceeding to step N14;
because the conflict belongs to irreconcilable conflict, the incidence relation between the work order and the isolation needs to be reestablished, and therefore the comparison isolation data needs to be removed from the temporary isolation set;
n12: setting the planned end time of the current isolation data as the planned start time of the comparison isolation data, the earliest start time of the comparison isolation data and the latest end time of the current isolation data, and turning to step N14;
n13: setting the planned ending time of the comparison isolation data as the latest starting time of the comparison isolation data, setting the planned ending time of the current isolation data as the planned starting time of the comparison isolation data, setting the latest starting time of the current isolation data as the planned starting time of the comparison isolation data, and going to step N14;
n14: recording the disposal information (i.e. the isolation optimization result) and going to step N5;
n15: and finishing the isolation deduction, and importing the treatment information into a visual interactive interface for display.
Specifically, taking the example that the isolation data shown in table 4 is stored in the service library, the specific implementation steps of the isolation deduction are as follows:
initializing two isolation sets in a memory in advance, wherein the two isolation sets comprise a temporary isolation set and an optimized isolation set, and an isolation conflict rule is stored in a rule base;
storing the isolation data in the service library according to the sequence of the start time of the isolation plan into the temporary isolation set, wherein the isolation data contained in the temporary set is shown in table 4;
judging whether the temporary isolation set is an empty set or not, wherein the temporary isolation set is not empty because 4 pieces of isolation data exist in the temporary isolation set as shown in table 4;
taking an isolation data from the temporary isolation set as the current isolation data (i.e. isolation number: GL-2020 _001), see Table 7;
TABLE 7 currently isolated data Table
Judging whether isolated data (hereinafter referred to as contrast isolation) which is not subjected to conflict identification detection with the current isolated data exists in the temporary isolated set, wherein one isolated data (namely the current isolated data) is taken out from the temporary isolated set in the step, so that 3 pieces of contrast isolated data still exist in the temporary isolated set, and no conflict identification detection analysis is carried out on the 3 pieces of contrast isolated data and the current isolated data, which is shown in table 8;
table 8 table of numbers with isolated data in temporary set
And sequentially carrying out pairwise conflict recognition detection analysis on the comparison isolation data and the current isolation data in the temporary isolation, for example: the isolation number GL _2020_001 and the isolation number GL _2020_002 are subjected to conflict recognition detection, and because the isolation number GL _2020_001 and the isolation number GL _2020_002 have intersection in time, the same boundary equipment SB _2_1_ RCP _006VP exists, and the registration states of the boundary equipment are inconsistent: the isolation number GL _2020_001 is LC, the isolation number GL _2020_002 is O, and "forbidden" is determined according to the isolation conflict rule "the boundary devices are the same and the boundary listing states are not consistent" configured in the rule base, so that the detection result of the current isolation data with the isolation number GL _2020_001 and the comparison isolation data with the isolation number GL _2020_002 is in conflict;
judging whether the earliest end time of the current isolation data is greater than or equal to the latest start time of the comparison isolation data, wherein the earliest end time of the current isolation data (isolation number GL _2020_001) is 2020.3.8, and the latest start time of the comparison isolation data (isolation number GL _2020_002) is 2020.3.10, so that the earliest end time of the current isolation is less than the latest start time of the comparison isolation;
judging whether the latest starting time of the comparison isolation data is greater than or equal to the planned ending time of the current isolation data, wherein the latest starting time of the comparison isolation data (isolation number GL _2020_002) is 2020.3.10, and the planned ending time of the current isolation data (isolation number GL _2020_001) is 2020.3.10, so that the latest starting time of the comparison isolation data is greater than or equal to the planned ending time of the current isolation;
therefore, the planned end time of the current isolation data is respectively set as the planned start time of the comparison isolation data, the earliest start time of the comparison isolation data, and the latest end time of the current isolation data, and the optimized current isolation data and the comparison isolation data are shown in table 9;
TABLE 9 optimized present and compare isolated data tables
Recording the disposal information, which comprises the current isolation data before optimization, the comparison isolation data before optimization and a disposal conclusion (isolation optimization result: the isolation time is optimized), as shown in table 10;
table 10 disposal information table
Repeating the steps, sequentially finishing collision identification detection and isolation optimization of the comparison isolation data (isolation number GL _2020_003 and isolation number GL _2020_004) and the current isolation data (GL _2020_001) in the temporary isolation set, and storing the current isolation data (GL _2020_001) into the optimized isolation set; and then sequentially taking out new isolated data (isolated number GL _2020_002, isolated number GL _2020_003 and isolated number GL _2020_004) from the temporary isolated set as current isolated data respectively, completing conflict identification detection and isolation optimization, and finally storing all the current isolated data into an optimized isolated set, as shown in Table 11;
table 11 optimized isolated set table
The staff can check the disposal information table and the comparison information of the isolated data before and after optimization by clicking the link of the disposal conclusion.
Referring to fig. 4, an embodiment of the present application further provides an isolation deduction apparatus for a problem device in a nuclear power plant, including: the system comprises a data acquisition unit, a conflict recognition unit, an isolation optimization unit and a dynamic visualization unit; the data acquisition unit is used for acquiring isolation data of the problem equipment, the conflict recognition unit is used for conducting conflict recognition analysis on the isolation data of the problem equipment to obtain an isolation conflict electronic list, the isolation conflict electronic list comprises a plurality of isolation conflict data, the isolation optimization unit is used for conducting isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result, and the dynamic visualization unit is used for importing the isolation optimization result into the visualization interaction interface.
Furthermore, the isolation deduction system further comprises an isolation data import unit, which is used for acquiring the work order information and preset isolation information of the problem equipment, calculating isolation data of the problem equipment according to the work order information and the isolation information, and importing the isolation data of the problem equipment into the service library.
Furthermore, the isolation deduction system further comprises a conflict rule importing unit, which is configured to import a preset isolation conflict rule into the rule base, so that the conflict identification unit is specifically configured to perform conflict identification analysis on the isolation data of the problematic device according to the preset isolation conflict rule to obtain an isolation conflict electronic list, where the isolation conflict electronic list includes multiple pieces of isolation conflict data.
Furthermore, the isolation optimization unit is specifically configured to: and acquiring two pieces of isolation conflict data, comparing the earliest finishing overhaul time, the latest starting overhaul time and the planned finishing overhaul time of the two pieces of isolation conflict data to obtain a comparison result, and optimizing the overhaul time of the isolation conflict data according to the comparison result to obtain an isolation optimization result.
Therefore, in the embodiment of the application, the conflict identification analysis is performed on the acquired isolation data of the problematic equipment to obtain the isolation conflict electronic list comprising a plurality of pieces of isolation conflict data, then the isolation conflict electronic list is subjected to isolation optimization to obtain the isolation optimization result, and finally the isolation optimization result is displayed through the visual interactive interface, so that the isolation optimization result can be presented more simply and visually, the conflict identification analysis and the isolation optimization do not need to be performed manually, the occurrence of error and leakage is avoided, the experience requirement of isolation deduction of workers is reduced, the preparation work of the problematic equipment before overhaul activities can be completed quickly, the safety is ensured, the overhaul period is shortened, the nuclear power station can enter a normal power generation state in advance, and the quality and efficiency improvement effect is obvious, so that the efficiency and the accuracy of the isolation deduction can be effectively improved, and the experience requirement and cost of isolation deduction of workers can be reduced.
In the description of the present application, it is noted that, in the present application, 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. Also, 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An isolation deduction method for nuclear power station problem equipment is characterized by comprising the following steps:
obtaining isolation data of the problem equipment;
performing conflict recognition analysis on the isolation data of the problem equipment to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data;
performing isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result;
and importing the isolation optimization result into a visual interactive interface.
2. An isolation deduction method for problem equipment of nuclear power plant as claimed in claim 1, further comprising, before said obtaining isolation data of problem equipment:
acquiring work order information and preset isolation information of the problem equipment;
calculating isolation data of the problem equipment according to the work order information and the isolation information;
and importing the isolation data of the problem equipment into a service library.
3. The isolation deduction method for problematic equipment in nuclear power plants as claimed in claim 1, wherein before performing conflict recognition analysis on the isolation data of the problematic equipment to obtain an isolation conflict electronic list, the isolation conflict electronic list includes a plurality of pieces of isolation conflict data, further comprising: and importing the preset isolation conflict rule into a rule base.
4. An isolation deduction method for problematic equipment of nuclear power plant as claimed in claim 3, wherein said performing conflict recognition analysis on the isolation data of said problematic equipment to obtain an isolation conflict electronic list, said isolation conflict electronic list including a plurality of pieces of isolation conflict data includes:
and performing conflict recognition analysis on the isolation data of the problem equipment according to the preset isolation conflict rule to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data.
5. The isolation deduction method for the nuclear power plant problem equipment as recited in claim 1, wherein the performing isolation optimization on the isolation conflict electronic inventory to obtain an isolation optimization result comprises:
acquiring two isolated conflict data;
comparing the earliest finishing overhaul time, the latest starting overhaul time and the planned finishing overhaul time of the two isolation conflict data to obtain a comparison result;
and optimizing the overhaul time of the isolation conflict data according to the comparison result to obtain an isolation optimization result.
6. An isolation deduction device for problem equipment of a nuclear power plant, comprising:
a data acquisition unit for acquiring isolation data of the problem device;
the conflict recognition unit is used for carrying out conflict recognition analysis on the isolation data of the problem equipment to obtain an isolation conflict electronic list, and the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data;
the isolation optimization unit is used for carrying out isolation optimization on the isolation conflict electronic list to obtain an isolation optimization result;
and the dynamic visualization unit is used for importing the isolation optimization result into a visual interactive interface.
7. An isolation deduction device for nuclear power plant problem equipment according to claim 6, wherein the isolation deduction system further comprises an isolation data import unit for:
acquiring work order information and preset isolation information of the problem equipment;
calculating isolation data of the problem equipment according to the work order information and the isolation information;
and importing the isolation data of the problem equipment into a service library.
8. An isolation deduction device for nuclear power plant problem equipment as claimed in claim 6, wherein said isolation deduction system further comprises a conflict rule importing unit for: and importing the preset isolation conflict rule into a rule base.
9. The isolation deduction device for the problem equipment of the nuclear power plant as recited in claim 8, wherein the collision recognition unit is specifically configured to:
and performing conflict recognition analysis on the isolation data of the problem equipment according to the preset isolation conflict rule to obtain an isolation conflict electronic list, wherein the isolation conflict electronic list comprises a plurality of pieces of isolation conflict data.
10. The isolation deduction device for the nuclear power plant problem equipment as recited in claim 6, wherein the isolation optimization unit is specifically configured to:
acquiring two isolated conflict data;
comparing the earliest finishing overhaul time, the latest starting overhaul time and the planned finishing overhaul time of the two isolation conflict data to obtain a comparison result;
and optimizing the overhaul time of the isolation conflict data according to the comparison result to obtain an isolation optimization result.
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