CN116165685A - Satellite assembly monitoring method and device, electronic equipment and storage medium - Google Patents

Satellite assembly monitoring method and device, electronic equipment and storage medium Download PDF

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Publication number
CN116165685A
CN116165685A CN202310104785.6A CN202310104785A CN116165685A CN 116165685 A CN116165685 A CN 116165685A CN 202310104785 A CN202310104785 A CN 202310104785A CN 116165685 A CN116165685 A CN 116165685A
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abnormal
node
project
project node
satellite assembly
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刘波
颜小童
刘康鑫
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Galaxy Aerospace Chengdu Communication Co ltd
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Galaxy Aerospace Chengdu Communication Co ltd
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Priority to CN202310104785.6A priority Critical patent/CN116165685A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13Receivers
    • G01S19/23Testing, monitoring, correcting or calibrating of receiver elements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The application relates to the technical field of satellite assembly, in particular to a satellite assembly monitoring method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of acquiring the current completion degree of each project node in satellite assembly in real time; judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node; if the abnormal project node exists, acquiring flow information of the abnormal project node, and determining an abnormal operation position as an abnormal sub-project node in the abnormal project node according to the flow information; acquiring abnormal image information at an abnormal operation position; and feeding the abnormal image information back to the terminal equipment of the related personnel. The method has the effects of timely finding out the abnormality in the satellite assembly process and reducing the waste of talent resources.

Description

Satellite assembly monitoring method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of satellite assembly technologies, and in particular, to a satellite assembly monitoring method, a device, an electronic device, and a storage medium.
Background
The satellite is mainly used for communication, navigation, investigation and the like, and along with the vigorous development of satellite industry, the satellite effect is also more and more emphasized, and in order to meet the demands of people on the satellite, the emission quantity of the satellite is also more and more. Before the satellite is successfully transmitted, the satellite needs to be assembled, namely, the satellite assembly is from the pre-research to the development design of the satellite, and a series of assembly work is required from simulation analysis to processing production, so that any satellite needs to go through the stage to be delivered smoothly.
The satellite assembly work is complex and is divided into a plurality of project nodes, and after all project nodes are assembled, the satellite assembly work is completed, but the satellite transmission needs to consume large manpower and financial resources, so that the progress of each project node needs to be monitored in real time in the satellite assembly process. In the related art, the satellite assembly process is generally supervised in real time by manpower, so that the satellite assembly process can be found in time when the satellite assembly process is abnormal, and the abnormality can be relieved in time, but because the satellite assembly work comprises a plurality of project nodes, each project node has more complicated steps, the technical requirements on supervising staff are higher, and because the satellite assembly work period is longer, if a plurality of staff with higher technologies are allocated to supervise the satellite assembly process in real time, talent resource waste can be caused.
Disclosure of Invention
In order to discover anomalies in the satellite assembly process in time and reduce the waste of talent resources, the application provides a satellite assembly monitoring method, a device, electronic equipment and a storage medium.
In a first aspect, the present application provides a satellite assembly monitoring method, which adopts the following technical scheme:
a satellite assembly monitoring method comprising:
acquiring the current completion degree of each project node in satellite assembly in real time;
judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node;
if the abnormal project node exists, acquiring flow information of the abnormal project node, and determining an abnormal operation position according to the flow information, wherein the abnormal operation position is a sub-project node with an abnormality in the abnormal project node;
acquiring abnormal image information at the abnormal operation position;
and feeding the abnormal image information back to terminal equipment of related personnel.
By adopting the technical scheme, the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degree can be conveniently found in real time, the operation flow information of the project nodes with abnormal completion degree can be checked, the reasons for the abnormal completion degree of the project nodes can be conveniently determined, after the abnormal operation reasons are determined, the image information of the abnormal operation positions is fed back to the terminal equipment of related personnel, the related personnel can conveniently check the specific conditions of the abnormal operation positions, the related personnel can conveniently and quickly determine the coping strategies, the satellite assembly work can be conveniently and timely monitored in real time, the abnormality in the satellite assembly work can be conveniently and timely found, and the image information of the positions corresponding to the abnormal operation can be fed back to the terminal equipment of the related technical personnel when the abnormality occurs, so that the related technical personnel can timely make the coping strategies instead of enabling the related technical personnel to always monitor the satellite assembly process in real time, and the waste of talent resources can be reduced while the abnormality is timely found.
In one possible implementation manner, the determining whether the abnormal project node exists based on the current completion degree of each project node and the complete progress corresponding to each project node further includes:
according to the historical operation data, determining the operation property of each project node, wherein the operation property of each project node comprises a difficulty distribution proportion of each project node assembly work, and the difficulty distribution proportion is used for representing the operation difficulty of each sub-project node in each project node;
determining the corresponding processing rate of each project node according to the operation property of each project node;
based on the current completion degree of each project node and the complete progress corresponding to each project node, judging whether abnormal project nodes exist or not includes:
determining the residual workload of each project node according to the current completion degree of each project node and the corresponding complete progress;
predicting the residual working time of each project node according to the residual working load of each project node and the corresponding processing efficiency;
predicting the completion date of each project node according to the start time length and the residual work time length of each project node, wherein the start time length is the work time length required by completing the current completion degree;
And judging whether the project node is an abnormal project node according to the finishing date of the project node and the standard finishing date of the project node.
By adopting the technical scheme, the operation property corresponding to each project node is determined according to the historical operation data, so that the processing efficiency corresponding to each project node is determined according to the operation property, the residual workload of the project node and the duration corresponding to the residual workload are determined through the processing efficiency corresponding to each project node and the completed workload of each project node, the completion date of the project node is determined conveniently, the completion date is compared with the standard completion date to judge whether the completion degree of the project node is abnormal, and the current completion degree of the project node is detected in real time so as to monitor the working condition of each project node in real time, so that related personnel can find abnormality in time, coordinate the work of the abnormal project node in time, thereby reducing the probability of exceeding the working occurrence of the project node, and further reducing the probability of exceeding the satellite assembly work.
In one possible implementation manner, the determining, according to the operation property of each project node, the processing rate corresponding to each project node includes:
According to the difficulty operation proportion of each project node, carrying out operation grade division on each project node, wherein the operation grade and the difficulty operation proportion are in a direct proportion relation;
and determining the processing rate corresponding to each project node according to the divided operation level and historical operation data, wherein the historical operation data is used for representing the historical processing rate of each project node in the historical assembly work.
By adopting the technical scheme, when the processing efficiency of the project node is determined, the project node is classified according to the operation property of the project node, namely the operation difficulty is classified, the difficulty of the project node is judged only through human experience, the initial processing efficiency of the project node is determined conveniently according to the classified grades, and the initial processing rate of the project node is optimized through the historical operation data, so that the accuracy in determining the processing efficiency of the project node is improved conveniently.
In one possible implementation manner, the obtaining the flow information of the abnormal item node and determining the abnormal operation position according to the flow information includes:
determining at least one processing position corresponding to the abnormal project node according to the flow information of the abnormal project node;
Acquiring operation information of each processing position, wherein the operation information comprises operation time, an operation result and an operation video; and matching the operation information of each processing position with the corresponding operation standard, and if the operation information of each processing position is not matched with the corresponding operation standard, determining that the processing position is an abnormal operation position.
By adopting the technical scheme, the position of the possible abnormality in the project node is determined through the flow information of the abnormal project node, namely the abnormal sub-project node is possible to appear, and the data screening is convenient to reduce the times of data comparison when the abnormal sub-project node is determined, so that the operation pressure of a computer is convenient to reduce, and the accuracy when the abnormal operation position is determined is convenient to improve by comparing the operation information corresponding to the abnormal sub-project node with the standard operation information.
In one possible implementation, the method further includes:
recording an abnormal operation reason corresponding to an abnormal operation position in each abnormal item node, and forming a plurality of first matrix data, wherein the first matrix data comprises at least one abnormal operation reason corresponding to the abnormal item node;
integrating the plurality of first matrix data to obtain second matrix data, wherein the second matrix data comprises at least one abnormal item node corresponding to an abnormal operation reason of an abnormal operation position;
And feeding the second matrix data back to the terminal equipment of the related staff.
By adopting the technical scheme, the abnormal operation reasons of the sub-project nodes corresponding to each project node are integrated, so that all project nodes with each abnormal operation reason can be conveniently determined, and accordingly, relevant personnel can uniformly optimize the assembly work of the project nodes in the satellite assembly work according to the abnormal operation reasons, and the efficiency of optimizing the satellite assembly work is improved.
In one possible implementation, the acquiring the abnormal image information at the abnormal operation position includes:
acquiring a two-dimensional image of the abnormal operation position;
determining three-dimensional coordinates at the abnormal operation position based on the two-dimensional image;
and forming abnormal image information at the abnormal operation position according to the three-dimensional coordinates.
Through adopting above-mentioned technical scheme, through converting two-dimensional image information into three-dimensional unusual image information and feeding back, the relevant staff of being convenient for clearly look over the condition of unusual position through terminal equipment to look over the actual condition of unusual operation position department through three-dimensional unusual image information, so that relevant staff is on the scene, and then is convenient for improve the efficiency that relevant staff confirmed the reply tactics.
In one possible implementation, the method further includes:
acquiring a satellite assembly flow of an abnormal project node, and judging whether the abnormal project node has an influence node according to the acquired satellite assembly flow, wherein the influence node is a project node with an association relation with the abnormal project node;
if yes, acquiring the flow information of the affected node;
and checking the flow information of the influencing node with the flow standard information to generate a checking result, and feeding back the checking result to the terminal equipment of the related staff.
Through adopting above-mentioned technical scheme, when detecting that there is the project node that the completion degree is unusual, judge whether this project node has the influence node through satellite assembly flow, when having the influence node, check the flow information of influence node to in time coordinate the assembly work of influence node, and can in time discover the condition that the completion degree is unusual that the influence node takes place, be convenient for reduce the probability that the time limit delay appears in the satellite assembly work.
In a second aspect, the present application provides a satellite assembly monitoring device, which adopts the following technical scheme:
A satellite assembly monitoring device, comprising:
the progress acquisition module is used for acquiring the current completion degree of each project node in satellite assembly in real time;
the abnormality judging module is used for judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node;
the abnormal position determining module is used for acquiring flow information of the abnormal project nodes if the abnormal project nodes exist, and determining abnormal operation positions according to the flow information, wherein the abnormal operation positions are sub-project nodes with abnormality in the abnormal project nodes;
the abnormal image acquisition module is used for acquiring abnormal image information at the abnormal operation position;
and the abnormal feedback module is used for feeding the abnormal image information back to the terminal equipment of the related personnel.
By adopting the technical scheme, the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degree can be conveniently found in real time, the operation flow information of the project nodes with abnormal completion degree can be checked, the reasons for the abnormal completion degree of the project nodes can be conveniently determined, after the abnormal operation reasons are determined, the image information of the abnormal operation positions is fed back to the terminal equipment of related personnel, the related personnel can conveniently check the specific conditions of the abnormal operation positions, the related personnel can conveniently and quickly determine the coping strategies, the satellite assembly work can be conveniently and timely monitored in real time, the abnormality in the satellite assembly work can be conveniently and timely found, and the image information of the positions corresponding to the abnormal operation can be fed back to the terminal equipment of the related technical personnel when the abnormality occurs, so that the related technical personnel can timely make the coping strategies instead of enabling the related technical personnel to always monitor the satellite assembly process in real time, and the waste of talent resources can be reduced while the abnormality is timely found.
In one possible implementation, the apparatus further includes:
the operation property determining module is used for determining the operation property of each project node according to the historical operation data, wherein the operation property of each project node comprises a difficulty distribution proportion of assembly work of each project node, and the difficulty distribution proportion is used for representing the operation difficulty of each sub-project node in each project node;
the processing rate determining module is used for determining the processing rate corresponding to each project node according to the operation property of each project node; the abnormality judging module is specifically configured to, when judging whether an abnormal item node exists based on a current completion degree of each item node and a complete progress corresponding to each item node:
determining the residual workload of each project node according to the current completion degree of each project node and the corresponding complete progress;
predicting the residual working time of each project node according to the residual working load of each project node and the corresponding processing efficiency;
predicting the completion date of each project node according to the start time length and the residual work time length of each project node, wherein the start time length is the work time length required by completing the current completion degree;
And judging whether the project node is an abnormal project node according to the finishing date of the project node and the standard finishing date of the project node.
In one possible implementation manner, the processing rate determining module is specifically configured to, when determining, according to the operation property of each project node, a processing rate corresponding to each project node:
according to the difficulty operation proportion of each project node, carrying out operation grade division on each project node, wherein the operation grade and the difficulty operation proportion are in a direct proportion relation;
and determining the processing rate corresponding to each project node according to the divided operation level and historical operation data, wherein the historical operation data is used for representing the historical processing rate of each project node in the historical assembly work.
In one possible implementation manner, when the abnormal location determining module obtains the flow information of the abnormal project node and determines the abnormal operation location according to the flow information, the abnormal location determining module is specifically configured to:
determining at least one processing position corresponding to the abnormal project node according to the flow information of the abnormal project node;
acquiring operation information of each processing position, wherein the operation information comprises operation time, an operation result and an operation video; and matching the operation information of each processing position with the corresponding operation standard, and if the operation information of each processing position is not matched with the corresponding operation standard, determining that the processing position is an abnormal operation position.
In one possible implementation, the apparatus further includes:
the method comprises the steps of generating a first matrix module, wherein the first matrix module is used for recording the abnormal operation reasons corresponding to the abnormal operation positions in each abnormal item node, and forming a plurality of first matrix data, and the first matrix data comprise the abnormal operation reasons of at least one abnormal operation position corresponding to the abnormal item node;
generating a second matrix module, which is used for integrating a plurality of first matrix data to obtain second matrix data, wherein the second matrix data comprises at least one abnormal item node corresponding to an abnormal operation reason of an abnormal operation position;
and the matrix data feedback module is used for feeding the second matrix data back to the terminal equipment of the related staff.
In one possible implementation manner, the abnormal image acquisition module is specifically configured to, when acquiring abnormal image information at the abnormal operation position:
acquiring a two-dimensional image of the abnormal operation position;
determining three-dimensional coordinates at the abnormal operation position based on the two-dimensional image;
and forming abnormal image information at the abnormal operation position according to the three-dimensional coordinates.
In one possible implementation, the apparatus further includes:
The method comprises the steps of determining an influence node module, wherein the influence node module is used for acquiring a satellite assembly flow of an abnormal project node, judging whether the abnormal project node has an influence node according to the acquired satellite assembly flow, and the influence node is a project node with an association relation with the abnormal project node;
the influence node information acquisition module is used for acquiring flow information of influence nodes if the abnormal project nodes exist the influence nodes;
and the information feedback module is used for checking the flow information of the affected node with the flow standard information to generate a checking result and feeding the checking result back to the terminal equipment of the related staff.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device, the electronic device comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application configured to: the method for satellite assembly monitoring is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer-readable storage medium, comprising: a computer program is stored that can be loaded by a processor and that performs the satellite assembly monitoring method described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degree can be conveniently found in real time, the operation flow information of the project nodes with abnormal completion degree can be conveniently checked, the reasons for the abnormal completion degree of the project nodes can be conveniently determined, after the abnormal operation reasons are determined, the image information of the position where the abnormality occurs is fed back to the terminal equipment of related personnel, the related personnel can conveniently check the specific situation of the position where the abnormality occurs, the related personnel can conveniently and quickly determine the coping strategy, the satellite assembly work can be conveniently and timely found out the abnormality in the satellite assembly work in real time, and the image information of the position corresponding to the abnormal operation is fed back to the terminal equipment of related personnel when the abnormality occurs, so that the related personnel can timely make coping strategies instead of enabling the related personnel to always supervise the satellite assembly process in real time, and the waste of talent resources can be reduced while the abnormality is timely found out.
2. According to the historical operation data, the operation property corresponding to each project node is determined, so that the processing efficiency corresponding to each project node is determined according to the operation property, the processing efficiency corresponding to each project node and the completed workload of each project node are determined, the residual workload of the project node and the duration corresponding to the residual workload are determined, the completion date of the project node is determined conveniently, the completion date is compared with the standard completion date to judge whether the project node has abnormal completion degree, the current completion degree of the project node is detected in real time so as to monitor the working condition of each project node in real time, thereby facilitating related personnel to find abnormality in time, enabling related personnel to coordinate the work of the abnormal project node in time, reducing the probability of exceeding the project node work, and further facilitating the reduction of the probability of exceeding the satellite assembly work.
Drawings
FIG. 1 is a schematic flow chart of a satellite assembly monitoring method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a project node connection relationship in an embodiment of the present application;
FIG. 3 is a schematic view of a satellite assembly monitoring device according to an embodiment of the present disclosure;
Fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-4.
Modifications of the embodiments which do not creatively contribute to the invention may be made by those skilled in the art after reading the present specification, but are protected by patent laws only within the scope of claims of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In order to find out the abnormality in the satellite assembly process in time and reduce the waste of talent resources, according to the embodiment of the application, the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degrees can be found out in real time, the operation flow information of the project nodes with abnormal completion degrees can be checked, the reasons for the abnormality in the completion degrees of the project nodes can be determined conveniently, after the abnormal operation reasons are determined, the image information of the position where the abnormality occurs is fed back to the terminal equipment of the related personnel, the related personnel can check the specific situation of the position where the abnormality occurs conveniently, the related personnel can conveniently and rapidly determine the coping strategy, the abnormality in satellite assembly work can be found out in real time through monitoring the satellite assembly work in real time, and the image information of the position corresponding to the abnormal operation can be fed back to the terminal equipment of the related personnel when the abnormality occurs, so that the related personnel can make a coping strategy in time instead of the related personnel constantly monitoring the satellite assembly process in real time.
Specifically, the embodiment of the application provides a satellite assembly monitoring method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein.
Referring to fig. 1, fig. 1 is a flowchart of a satellite assembly monitoring method according to an embodiment of the present application, where the method includes steps S110, S120, S130, S140, and S150, and the method includes:
step S110: and acquiring the current completion degree of each project node in the satellite assembly in real time.
In particular, satellite assembly is an important link for satellite manufacturing quality control, and because satellite transmission needs to consume large financial resources and material resources, and the satellite assembly process is abnormal, faults of the satellite in the post-transmission work are likely to occur, so the satellite assembly process is particularly important. Any satellite must go through the satellite assembly stage to be delivered and successfully transmitted, the satellite assembly is to adjust the equipment of each subsystem, fix the equipment used by each subsystem to a corresponding position, and connect the equipment used by each subsystem through cables and pipes to form a satellite with quality characteristics, precision and air tightness meeting the satellite transmission requirements.
In order to improve the working efficiency of satellite assembly, there may be a case where a plurality of project nodes work simultaneously, that is, a plurality of subsystems are adjusted and combined at the same time, and then the associated subsystem devices are assembled, thereby completing the satellite assembly work. Because the operation work corresponding to each project node is different, and the operation work progress of each project node can influence the progress of satellite assembly work, the current completion degree of each project node in satellite assembly is supervised, and the satellite assembly work is conveniently supervised.
The current completion degree of each project node in satellite assembly can be determined by the corresponding data recording equipment at each project node, the data recording equipment can be image acquisition equipment or data input equipment, and when the data recording equipment is the image acquisition equipment, the electronic equipment can determine the current completion degree of the project node through the received image information; when the data recording equipment is data input equipment, the electronic equipment can determine the current completion degree of the project node through the input data, wherein when the data is input, the data can be manually input through staff positioned at the project node, and also can be automatically input through a machine at the project node.
Step S120: and judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node.
Specifically, the complete progress of the project node is the total work amount of the project node for completing satellite assembly work, and the total work amount of each project node can be input according to a user or can be determined according to historical satellite assembly information. When comparing the current completion degree and the complete progress of the project node, the comparison can be performed through the working time length and the working efficiency, for example, the project node comprises a design drawing, a model making, model optimizing and model assembling, the complete progress is 100%, the operation period is 100 days, wherein the design drawing is 20 days, the model making is 30 days, the model optimizing is 30 days and the model assembling is 20 days, the current completion degree of the project node is 50%, the operation period is 80 days, the project node completion rate does not correspond to the operation period, and therefore the project node is determined to be an abnormal project node.
Step S130: if the abnormal project node exists, acquiring flow information of the abnormal project node, and determining an abnormal operation position according to the flow information.
The abnormal operation position is a child item node with abnormality in the abnormal item nodes.
Specifically, the flow information is information of each operation step when the project node performs satellite assembly work, for example, when the abnormal project node a includes design drawing, model making, model optimizing and model assembling, the flow information of the abnormal project node a is flow information of corresponding operations when the design drawing sub-project node, the model making sub-project node, the model optimizing sub-project node and the model assembling sub-project node are completed, for example, operation starting time and operation completing time, the abnormal operation position in the abnormal project node a is conveniently determined through the flow information, and when the operation starting time is too early or too late, the operation completing time is too early or too late, and an abnormality may be generated.
Step S140: abnormal image information at an abnormal operation position is acquired.
Specifically, the abnormal image information is information including an abnormal operation position, and the abnormal image information can be acquired by an image acquisition device arranged at the abnormal operation position and uploaded to the electronic device.
Step S150: and feeding the abnormal image information back to the terminal equipment of the related personnel.
Specifically, the abnormal image is fed back to the terminal equipment of the related person so that the related person can check the abnormal position, the terminal equipment of the related person can be a display screen or VR glasses, and the specific terminal equipment is not specifically limited in the embodiment of the present application, so long as the abnormal image information can be displayed.
For the embodiment of the application, the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degrees can be conveniently found in time, the operation flow information of the project nodes with abnormal completion degrees can be conveniently checked, the reasons for the abnormal completion degrees of the project nodes can be conveniently determined, after the abnormal operation reasons are determined, the image information of the positions where the abnormal operation occurs is fed back to the terminal equipment of related personnel, the related personnel can conveniently check the specific conditions of the positions where the abnormal operation occurs, the related personnel can conveniently and quickly determine the coping strategies, the satellite assembly work can be conveniently and timely found out the abnormality in the satellite assembly work, and when the abnormality occurs, the image information of the positions corresponding to the abnormal operation is fed back to the terminal equipment of the related technician, so that the related technician can timely make coping strategies instead of enabling the related technician to constantly monitor the satellite assembly process in real time, and accordingly, the waste of talent resources can be reduced while the abnormality is timely found out.
In one possible implementation manner, in order to improve accuracy in determining the abnormal project node, step S120 determines whether there is an abnormal project node based on the current completion of each project node and the complete progress corresponding to each project node, and further includes step Sa1 (not shown in the drawing) and step Sa2 (not shown in the drawing), where:
Step Sa1: and determining the operation property of each project node according to the historical operation data.
The operation property of each project node comprises an assembly work difficulty distribution proportion of each project node, wherein the difficulty distribution proportion is used for representing the operation difficulty of each sub-project node in each project node.
Specifically, the historical operation data is stored operation data information when the satellite is assembled by the history. The operational properties of the project node are used for representing the difficulty level of each sub-project node in the assembly operation, for example, when the project node a comprises a plurality of sub-project nodes which are respectively designed drawing, model making, model optimizing and model assembling, the operational properties corresponding to the sub-project nodes of the designed drawing, the sub-project nodes of the model making and the sub-project nodes of the model optimizing are determined to be difficult according to the historical operational data, the operational properties corresponding to the sub-project nodes of the model assembling are determined to be easy, and the operational properties corresponding to the project node a are determined to be difficult before easy, so that more time may be spent in the early stage and less time may be spent in the later stage in the satellite assembly operation of the project node a.
The operational nature of the project nodes can be obtained by determining similar project nodes from historical operational data and obtaining the number of workers and the processing time of the similar project nodes in the satellite assembly process, wherein the more the number of workers is, the longer the processing time is, and the harder the corresponding operation of each sub-project node in the project nodes is. Specifically, the number of people participating in the work and the processing time length of the project node exceed the corresponding preset standard value, and the operation property of the corresponding sub-project node is difficult to determine, wherein the preset standard value can be input by a user.
Step Sa2: and determining the corresponding processing rate of each project node according to the operation property of each project node.
Specifically, the operational property of the project node corresponds to the processing rate of the project node, and when the operational property of the sub-project node in the project node is difficult, the processing rate corresponding to the sub-project node is also relatively slow.
Judging whether an abnormal project node exists or not based on the current completion degree of each project node and the complete progress corresponding to each project node, wherein the abnormal project node specifically comprises a step Sb1 (not shown in the drawing), a step Sb2 (not shown in the drawing), a step Sb3 (not shown in the drawing) and a step Sb4 (not shown in the drawing), and the steps are as follows:
step Sb1: and determining the residual workload of each project node according to the current completion degree of each project node and the corresponding complete progress.
Specifically, the current completion of the project node is used for representing the complete workload which is required to be completed when the project node is completed since the project node is started, and the complete progress is the complete workload which is required to be completed when the project node is completed, and the residual workload and the complete workload which corresponds to the current completion form the complete workload which corresponds to the complete progress. Each project node corresponds to a complete progress, and the complete progress of each project node is composed of the progress of at least one sub-project node contained in each project.
Step Sb2: and determining the residual working time length of each project node according to the residual working load of each project node and the corresponding processing efficiency.
Specifically, the processing efficiency corresponding to each project node is different, and the residual working time length of each project node is determined conveniently according to the processing efficiency and the residual workload corresponding to each project node, for example, when the processing efficiency of the project node A is 5% of the total workload completed in 10 days, if 200 days are required for completing the total workload of the project node A, and if the residual workload is 25%, the residual working time length of the project node A can be determined to be 50 days according to the processing efficiency of the project node A.
Step Sb3: and determining the completion date of each project node according to the start time length and the residual work time length of each project node, wherein the start time length is the work time length required by completing the current completion degree.
Specifically, the starting time length is the time length consumed for completing the current completion degree of the project node, the remaining work time length is the work time length required for completing the remaining work, and the completion date is the date of completing the remaining work load of the project node. For example, if the start time of the project node a is 3 months and 21 days, the start time is 40 days, and the remaining work time is 20 days, the completion date of the project node is 5 months and 20 days.
Step Sb4: and judging whether the project node is an abnormal project node according to the finishing date of the project node and the standard finishing date of the project node.
Specifically, when the project processing efficiency is lower than the standard processing efficiency, the project node may be caused to have excessively long processing time, so that the project node is caused to have excessively long processing time, the standard processing efficiency of the project node is determined according to the processing efficiency of similar project nodes in the historical operation data, the processing efficiency may be lower than the standard processing efficiency due to artificial or non-artificial factors in the actual satellite assembly work, for example, the standard processing efficiency of the project node A is 5% of the total workload completed in 10 days, and the total workload can be completed according to the standard processing efficiency of 200 days, but due to artificial factors, the total workload is 5% completed in 15 days in the actual satellite assembly work, so that if the total workload needs to be completed, the corresponding completion date needs to be delayed by 100 days, and exceeds the standard completion date, at this time, the project node A is determined to be the abnormal project node. The non-anomalous project nodes are project nodes whose completion date is within a standard completion date.
For the embodiment of the application, the operation property corresponding to each project node is determined according to the historical operation data, so that the processing efficiency corresponding to each project node is determined according to the operation property, the residual workload of the project node and the duration corresponding to the residual workload are determined through the processing efficiency corresponding to each project node and the completed workload of each project node, so that the completion date of the project node is determined conveniently, the completion date is compared with the standard completion date to judge whether the project node has abnormal completion degree, the current completion degree of the project node is detected in real time so as to monitor the working condition of each project node in real time, so that related personnel can find abnormality in time, so that the related personnel can coordinate the work of the abnormal project node in time, the probability of exceeding the working time of the project node is reduced, and the probability of exceeding the satellite assembly work is reduced conveniently.
Further, in order to improve the processing efficiency of determining the project node, in step Sa2, according to the operation property of each project node, the processing rate corresponding to each project node is determined, which specifically includes step Sb21 (not shown in the drawing) and step Sb22 (not shown in the drawing), wherein:
Step Sb21: and dividing the operation level of each project node according to the difficulty operation proportion of each project node, wherein the operation level and the difficulty operation proportion are in a direct proportion relation.
Specifically, the operation level is determined by the ratio of the difficulty operation property corresponding to each sub-item node in the item nodes, for example, the item node a includes a plurality of sub-item nodes, namely, sub-item node 1, sub-item node 2, sub-item node 3, sub-item node 4 and sub-item node 5, wherein the operation properties of the sub-item node 1, sub-item node 2, sub-item node 3 and sub-item node 4 are difficult, and the operation property of the sub-item node 5 is easy, so that the difficulty operation property ratio in the item node a is 4:1.
The greater the ease of operation ratio, the higher the corresponding operation level, for example, the ease of operation ratio of item node a is 4:1, the difficulty operation ratio of the project node B is 5:1, the operation level of the project node B is higher than that of the project node a, and the corresponding relation between the specific difficult operation proportion and the operation level can be input by a user.
In addition, the number of sub-project nodes with difficult operation property in each project node can be counted, the operation level of the project node can be determined according to the number of the sub-project nodes, and the corresponding relation between the number of the specific sub-project nodes and the operation level of the project node can be input by a user.
Step Sb22: and determining the processing rate corresponding to each project node according to the divided operation level and the historical operation data.
Specifically, the initial processing rate corresponding to each operation level is different, the operation level and the initial processing rate are in inverse proportion, the higher the operation level is, namely the higher the operation difficulty of the project node is, the lower the corresponding initial processing efficiency is, and the corresponding relation between the operation level and the initial processing efficiency can be input by a user.
The determined initial processing rate is conveniently optimized through the historical operation data, the final processing efficiency is obtained, the final processing efficiency is possibly consistent with or inconsistent with the initial processing efficiency, the initial processing efficiency of the project node is conveniently optimized through the historical operation data, and the accuracy of determining the processing efficiency of the project node is conveniently improved.
For the embodiment of the application, when determining the processing efficiency of the project node, firstly classifying the project node according to the operation property of the project node, namely classifying the operation difficulty, judging the difficulty of the project node only through human experience, determining the initial processing efficiency of the project node according to the classified classification, and optimizing the initial processing rate of the project node according to the historical operation data, thereby being convenient for improving the accuracy in determining the processing efficiency of the project node.
In one possible implementation manner, step S130 obtains flow information of the abnormal project node, and determines an abnormal operation position according to the flow information, which may specifically include step Sc1 (not shown in the drawing), step Sc2 (not shown in the drawing), and step Sc3 (not shown in the drawing), where:
step Sc1: and determining at least one processing position corresponding to the abnormal project node according to the flow information of the abnormal project node.
Specifically, the abnormal project node is a project node with abnormal completion, and the flow information of the abnormal node comprises the flow information of each sub-project node in the satellite assembly work.
Step Sc2: and acquiring operation information of each processing position, wherein the operation information comprises operation time, operation results and operation videos.
Specifically, the operation information of each processing location, that is, the operation information of each sub-project node in the project nodes, may be obtained through a work log, and the operation of each sub-project node may be recorded into the work log. The operation time is the time when the sub-project node starts working and the time when the sub-project node ends working, the operation result is the result after the sub-project node finishes corresponding working, the operation video can be collected by the image collecting equipment arranged at the sub-project node area and uploaded to the electronic equipment, for example, when the sub-project node is a design drawing, the operation time is the time when the design drawing is started, the time when the design is finished, the operation result is the drawing after the design is finished, and the operation video records the whole process of the design drawing.
Step Sc3: and matching the operation information of each processing position with the corresponding operation standard, and if the operation information of each processing position is not matched with the corresponding operation standard, determining that the processing position is an abnormal operation position.
Specifically, the operation standard can be determined according to the historical operation data, the similar item nodes are determined from the historical operation data, the operation information corresponding to the similar item nodes is determined as the operation standard of the current item node, the time of the item nodes is conveniently limited through the operation time, so that the probability of overtime occurrence of the item nodes is reduced, the working quality of the item nodes is conveniently supervised through the operation result and the operation video, the operation standard can be input by a user, for example, the user can limit the working time length of a certain item node according to the whole working condition of satellite assembly, and the like. At least one processing position exists in one abnormal node, namely, a project node with abnormal progress corresponds to at least one sub-project node.
For example, the project node a includes 4 sub-project nodes, namely a sub-project node 1, a sub-project node 2, a sub-project node 3 and a sub-project node 4, when the project node a has an abnormal completion degree, the project node a is an abnormal project node, after the operation information of each sub-project node is matched with the corresponding operation standard, the operation information of the sub-project node 2 and the sub-project node 3 is determined to be not matched with the corresponding standard operation information, and then the sub-project node 2 and the sub-project node 3 are determined to be abnormal operation positions.
For the embodiment of the application, the position of the abnormal item node, namely the sub-item node with the possibility of abnormality in the item node is determined through the flow information of the abnormal item node, and the number of times of data comparison in determining the abnormal sub-item node is conveniently reduced through data screening, so that the operation pressure of a computer is conveniently reduced, and the accuracy in determining the abnormal operation position is conveniently improved through comparing the operation information corresponding to the sub-item node with the possibility of abnormality with the standard operation information.
Further, in order to facilitate the analysis of the abnormality by the related personnel, the method further includes a step Sd1 (not shown in the drawings), a step Sd2 (not shown in the drawings), and a step Sd3 (not shown in the drawings), wherein:
step Sd1: recording an abnormal operation reason corresponding to the abnormal operation position of each abnormal item node, and forming a plurality of first matrix data, wherein the first matrix data comprises at least one abnormal operation position corresponding to the abnormal item node.
Specifically, the first matrix is configured to count an abnormal operation reason of a sub-item node corresponding to each abnormal item node, for example, the item node a includes 4 sub-item nodes, which are respectively a sub-item node a1, a sub-item node a2, a sub-item node a3, and a sub-item node a4, where the sub-item node a2 and the sub-item node a3 are abnormal operation positions, and since the operation information is an operation time, an operation result, and an operation video, the abnormal operation reason may be that the operation time is too long or too short, the operation result does not conform to a standard, the operation process is not standard, and the like, the abnormal operation reason corresponds to the operation information, and matrix data corresponding to the item node a in the first matrix may be:
Project node a= [ operation time is too long, operation process is not standard ]
In this embodiment of the present application, the operation information corresponding to each item node by default includes an operation time, an operation result, and an operation video, so that different item nodes may have the same abnormal operation cause, and therefore, after matrix data integration is performed on the abnormal operation causes corresponding to a plurality of item nodes, a plurality of matrix data may be obtained, where the plurality of matrix data may be:
Figure BDA0004085966200000141
step Sd2: and integrating the plurality of first matrix data to obtain second matrix data, wherein the second matrix data comprises at least one abnormal item node corresponding to the abnormal operation reason.
Specifically, the second matrix data may be:
Figure BDA0004085966200000151
step Sd3: and feeding the second matrix data back to the terminal equipment of the related staff.
Specifically, the feedback mode of the second matrix data to the terminal device of the relevant staff may be to display the second matrix data, or may be to perform matrix operation on the second matrix data and feedback the operation result, where the feedback mode is not specifically limited in the embodiment of the present application, so long as the second matrix data can be fed back.
For the embodiment of the application, the abnormal operation reason characteristics of the sub-project nodes corresponding to each project node are integrated, so that all project nodes with each abnormal operation reason can be conveniently determined, and accordingly, relevant personnel can conveniently and uniformly optimize the assembly work of the project nodes in the satellite assembly work according to the abnormal operation reason, and further, the efficiency of optimizing the satellite assembly work is improved.
In one possible implementation manner, the step S140 of acquiring the abnormal image information at the abnormal operation position may specifically include a step Se1 (not shown in the drawing), a step Se2 (not shown in the drawing), and a step Se3 (not shown in the drawing), where:
step Se1: a two-dimensional image of the abnormal operation position is acquired.
Specifically, the two-dimensional image of the abnormal operation position, that is, the environment image of the abnormal operation position, wherein the environment image at least contains the operation process of the abnormal operation position. The two-dimensional image of the abnormal operation position may be acquired by an image acquisition device provided at the abnormal operation position and uploaded to the electronic device.
Step Se2: three-dimensional coordinates at the abnormal operation position are determined based on the two-dimensional image.
Specifically, the two-dimensional image is converted into three-dimensional coordinates, namely, the reconstruction of the three-dimensional model is completed by utilizing the two-dimensional image, when the three-dimensional coordinates are determined according to the two-dimensional image, a reference object can be determined according to the two-dimensional image, multiple views of the reference object are determined according to the two-dimensional image, any vertex in the reference image is used as a reference point, the three-dimensional vertex coordinates of the reference object are determined by utilizing the multiple views of the reference object, the three-dimensional coordinates of other features in the two-dimensional image are conveniently determined according to the three-dimensional vertex coordinates of the reference object, and then the three-dimensional coordinates at the abnormal operation position are formed.
Step Se3: abnormal image information at an abnormal operation position is formed according to the three-dimensional coordinates.
Specifically, the abnormal image information is fed back to the terminal equipment of the relevant staff, so that the situation of the abnormal position can be checked in time by the relevant staff, the abnormal image can be a two-dimensional image or a three-dimensional image, and after the three-dimensional abnormal image information is determined according to the three-dimensional coordinates, the three-dimensional abnormal image information is fed back to the virtual glasses of the relevant staff, so that the relevant staff can be on the scene.
For the embodiment of the application, the two-dimensional image information is converted into the three-dimensional abnormal image information for feedback, so that relevant staff can clearly check the abnormal position through the terminal equipment, and the actual condition of the abnormal operation position is checked through the three-dimensional abnormal image information, so that the relevant staff is on the scene, and the efficiency of the relevant staff in determining the coping strategies is improved.
In one possible implementation, the method further includes a step S1 (not shown in the drawings), a step S2 (not shown in the drawings), and a step S3 (not shown in the drawings), wherein:
step S1: acquiring a satellite assembly flow of the abnormal project node, and judging whether the abnormal project node has an influence node according to the acquired satellite assembly flow, wherein the influence node is a node linked with the abnormal project node.
Specifically, the satellite assembly flow comprises each project node and the connection relation between each project node in the satellite assembly process, and whether the project nodes have linked nodes or not is conveniently determined through the satellite assembly flow. In order to improve the efficiency of satellite assembly work, simultaneous assembly work may exist in satellite assembly work, and after the project nodes with association relations complete the respective assembly work, combination connection is performed. If it is detected that a completion degree abnormality exists in a certain item node, the completion degree abnormality may also occur in the item node having an association relationship with the item node. As shown in fig. 2, fig. 2 is a schematic diagram of a connection relationship between project nodes in the satellite assembly process, where project node a, project node B, and project node C are independent of each other, project node D is an influence node of project node a and project node B, project node E is an influence node of project nodes A, B, C and D, and project node G is an influence node of project nodes A, B, C, D, E and F.
Step S2: if so, acquiring flow information affecting the node.
Step S3: and checking the flow information affecting the nodes with the flow standard information to generate a checking result, and feeding back the checking result to the terminal equipment of the related staff.
Specifically, the process of checking the flow information of the influencing node with the standard information refers to the process of matching the operation information of each processing position in the abnormal project node with the corresponding operation standard.
For the embodiment of the application, when the project node with abnormal completion degree is detected, whether the project node is provided with the influence node is judged through the satellite assembly process, and when the influence node is provided, the process information of the influence node is checked so as to coordinate the assembly work of the influence node in time, and the condition that the influence node is abnormal in completion degree can be found in time so as to reduce the probability of construction period delay in the satellite assembly work.
The foregoing embodiments describe a satellite assembly monitoring method from a method flow perspective, and the following embodiments describe a satellite assembly monitoring device from a virtual module or virtual unit perspective, which are described in detail below.
The embodiment of the application provides a satellite assembly monitoring device, as shown in fig. 3, the device may specifically include an acquisition progress module 310, an anomaly determination module 320, an anomaly location determination module 330, an anomaly image acquisition module 340, and an anomaly feedback module 350, where:
The progress acquisition module 310 is configured to acquire, in real time, a current completion degree of each project node in satellite assembly;
the abnormality determination module 320 is configured to determine whether an abnormal item node exists based on the current completion degree of each item node and the complete progress corresponding to each item node;
the abnormal position determining module 330 is configured to obtain flow information of the abnormal item nodes if the abnormal item nodes exist, and determine an abnormal operation position according to the flow information, where the abnormal operation position is a child item node with an abnormality in the abnormal item nodes; an acquiring abnormal image module 340 for acquiring abnormal image information at an abnormal operation position;
and the abnormal feedback module 350 is used for feeding back the abnormal image information to the terminal equipment of the related personnel.
In one possible implementation, the apparatus further includes:
the operation property determining module is used for determining the operation property of each project node according to the historical operation data, wherein the operation property of each project node comprises a difficulty distribution proportion of assembly work of each project node, and the difficulty distribution proportion is used for representing the operation difficulty of each sub-project node in each project node;
the processing rate determining module is used for determining the processing rate corresponding to each project node according to the operation property of each project node; the abnormality determination module 320 is specifically configured to, when determining whether an abnormal item node exists based on the current completion degree of each item node and the complete progress corresponding to each item node:
Determining the residual workload of each project node according to the current completion degree of each project node and the corresponding complete progress;
predicting the residual working time of each project node according to the residual working load of each project node and the corresponding processing efficiency;
predicting the completion date of each project node according to the start time length and the residual work time length of each project node, wherein the start time length is the work time length required by completing the current completion degree;
and judging whether the project node is an abnormal project node according to the finishing date of the project node and the standard finishing date of the project node.
In one possible implementation manner, the processing rate determining module is specifically configured to, when determining, according to the operation property of each project node, a processing rate corresponding to each project node:
according to the difficulty operation proportion of each project node, carrying out operation grade division on each project node, wherein the operation grade and the difficulty operation proportion are in a direct proportion relation;
and determining the processing rate corresponding to each project node according to the divided operation level and historical operation data, wherein the historical operation data is used for representing the historical processing rate of each project node in the historical assembly work.
In one possible implementation manner, when the determining abnormal location module 330 obtains the flow information of the abnormal project node and determines the abnormal operation location according to the flow information, the determining abnormal location module is specifically configured to:
determining at least one processing position corresponding to the abnormal project node according to the flow information of the abnormal project node;
acquiring operation information of each processing position, wherein the operation information comprises operation time, an operation result and an operation video; and matching the operation information of each processing position with the corresponding operation standard, and if the operation information of each processing position is not matched with the corresponding operation standard, determining that the processing position is an abnormal operation position.
In one possible implementation, the apparatus further includes:
the first matrix module is used for recording the abnormal operation reasons corresponding to the abnormal operation positions in each abnormal item node, and forming a plurality of first matrix data, wherein the first matrix data comprise the abnormal operation reasons of at least one abnormal operation position corresponding to the abnormal item node;
generating a second matrix module, which is used for integrating the plurality of first matrix data to obtain second matrix data, wherein the second matrix data comprises at least one abnormal item node corresponding to an abnormal operation reason of an abnormal operation position;
And the matrix data feedback module is used for feeding back the second matrix data to the terminal equipment of the related staff.
In one possible implementation, the acquiring abnormal image module 340 is specifically configured to, when acquiring abnormal image information at an abnormal operation position:
acquiring a two-dimensional image of an abnormal operation position;
determining three-dimensional coordinates at the abnormal operation position based on the two-dimensional image;
abnormal image information at an abnormal operation position is formed according to the three-dimensional coordinates.
In one possible implementation, the apparatus further includes:
the influence node determining module is used for acquiring a satellite assembly flow of the abnormal project node, judging whether the abnormal project node has the influence node according to the acquired satellite assembly flow, wherein the influence node is a project node with an association relation with the abnormal project node; the influence node information acquisition module is used for acquiring flow information of the influence node if the abnormal project node exists the influence node; and the information feedback module is used for checking the flow information affecting the nodes with the flow standard information, generating a checking result and feeding back the checking result to the terminal equipment of the related staff.
In an embodiment of the present application, as shown in fig. 4, an electronic device 400 shown in fig. 4 includes: a processor 401 and a memory 403. Processor 401 is connected to memory 403, such as via bus 402. Optionally, the electronic device 400 may also include a transceiver 404. It should be noted that, in practical applications, the transceiver 404 is not limited to one, and the structure of the electronic device 400 is not limited to the embodiment of the present application.
The processor 401 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 401 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 402 may include a path to transfer information between the components. Bus 402 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or EISA (Extended Industry Standard Architecture ) bus, among others. Bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.
The Memory 403 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 403 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 401. The processor 401 is arranged to execute application code stored in the memory 403 for implementing what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related technology, the method and the device have the advantages that the progress of each project node in the satellite assembly process is obtained in real time, so that the project nodes with abnormal completion degrees can be found out in time, the operation flow information of the project nodes with abnormal completion degrees can be checked, the reasons for the abnormal completion degrees of the project nodes can be conveniently determined, after the abnormal operation reasons are determined, the image information of the position where the abnormality occurs is fed back to the terminal equipment of related personnel, the related personnel can conveniently check the specific situation of the position where the abnormality occurs, the related personnel can conveniently and quickly determine the coping strategy, the satellite assembly work can be conveniently and timely found out the abnormality in the satellite assembly work in real time, and the image information of the position corresponding to the abnormal operation is fed back to the terminal equipment of the related personnel when the abnormality occurs, so that the related personnel can timely make coping strategies instead of enabling the related personnel to constantly conduct real-time supervision on the satellite assembly process, and accordingly reducing waste of talent resources while timely finding the abnormality.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (10)

1. A satellite assembly monitoring method, comprising:
acquiring the current completion degree of each project node in satellite assembly in real time;
Judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node;
if the abnormal project node exists, acquiring flow information of the abnormal project node, and determining an abnormal operation position according to the flow information, wherein the abnormal operation position is a sub-project node with an abnormality in the abnormal project node;
acquiring abnormal image information at the abnormal operation position;
and feeding the abnormal image information back to terminal equipment of related personnel.
2. The satellite assembly monitoring method according to claim 1, wherein the determining whether the abnormal project node exists based on the current completion of each project node and the complete progress corresponding to each project node further comprises:
according to the historical operation data, determining the operation property of each project node, wherein the operation property of each project node comprises a difficulty distribution proportion of each project node assembly work, and the difficulty distribution proportion is used for representing the operation difficulty of each sub-project node in each project node;
determining the corresponding processing rate of each project node according to the operation property of each project node;
Based on the current completion degree of each project node and the complete progress corresponding to each project node, judging whether abnormal project nodes exist or not includes:
determining the residual workload of each project node according to the current completion degree of each project node and the corresponding complete progress;
predicting the residual working time of each project node according to the residual working load of each project node and the corresponding processing efficiency;
predicting the completion date of each project node according to the start time length and the residual work time length of each project node, wherein the start time length is the work time length required by completing the current completion degree;
and judging whether the project node is an abnormal project node according to the finishing date of the project node and the standard finishing date of the project node.
3. The satellite assembly monitoring method of claim 2, wherein determining the processing rate for each project node based on the operational properties of each project node comprises:
according to the difficulty operation proportion of each project node, carrying out operation grade division on each project node, wherein the operation grade and the difficulty operation proportion are in a direct proportion relation;
And determining the processing rate corresponding to each project node according to the divided operation level and historical operation data, wherein the historical operation data is used for representing the historical processing rate of each project node in the historical assembly work.
4. The satellite assembly monitoring method of claim 1, wherein the obtaining the flow information of the abnormal project node and determining the abnormal operation location according to the flow information comprises:
determining at least one processing position corresponding to the abnormal project node according to the flow information of the abnormal project node;
acquiring operation information of each processing position, wherein the operation information comprises operation time, an operation result and an operation video;
and matching the operation information of each processing position with the corresponding operation standard, and if the operation information of each processing position is not matched with the corresponding operation standard, determining that the processing position is an abnormal operation position.
5. The satellite assembly monitoring method of claim 4, further comprising:
recording an abnormal operation reason corresponding to an abnormal operation position in each abnormal item node, and forming a plurality of first matrix data, wherein the first matrix data comprises at least one abnormal operation reason corresponding to the abnormal item node;
Integrating the plurality of first matrix data to obtain second matrix data, wherein the second matrix data comprises at least one abnormal item node corresponding to an abnormal operation reason of an abnormal operation position;
and feeding the second matrix data back to the terminal equipment of the related staff.
6. The satellite assembly monitoring method of claim 1, wherein the acquiring of the anomaly image information at the anomaly operation location comprises:
acquiring a two-dimensional image of the abnormal operation position;
determining three-dimensional coordinates at the abnormal operation position based on the two-dimensional image;
and forming abnormal image information at the abnormal operation position according to the three-dimensional coordinates.
7. The satellite assembly monitoring method of claim 1, further comprising:
acquiring a satellite assembly flow of an abnormal project node, and judging whether the abnormal project node has an influence node according to the acquired satellite assembly flow, wherein the influence node is a project node with an association relation with the abnormal project node;
if yes, acquiring the flow information of the affected node;
and checking the flow information of the influencing node with the flow standard information to generate a checking result, and feeding back the checking result to the terminal equipment of the related staff.
8. A satellite assembly monitoring device, comprising:
the progress acquisition module is used for acquiring the current completion degree of each project node in satellite assembly in real time;
the abnormality judging module is used for judging whether abnormal project nodes exist or not based on the current completion degree of each project node and the complete progress corresponding to each project node;
the abnormal position determining module is used for acquiring flow information of the abnormal project nodes if the abnormal project nodes exist, and determining abnormal operation positions according to the flow information, wherein the abnormal operation positions are sub-project nodes with abnormality in the abnormal project nodes;
the abnormal image acquisition module is used for acquiring abnormal image information at the abnormal operation position;
and the abnormal feedback module is used for feeding the abnormal image information back to the terminal equipment of the related personnel.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application configured to: a method of performing satellite assembly monitoring as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: a computer program stored which can be loaded by a processor and which performs the method according to any of claims 1-7.
CN202310104785.6A 2023-02-13 2023-02-13 Satellite assembly monitoring method and device, electronic equipment and storage medium Pending CN116165685A (en)

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CN202310104785.6A CN116165685A (en) 2023-02-13 2023-02-13 Satellite assembly monitoring method and device, electronic equipment and storage medium

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