CN115238932B - Collaborative office management method and system based on artificial intelligence - Google Patents
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Abstract
The invention relates to the technical field of cooperative office management, and particularly discloses a cooperative office management method and system based on artificial intelligence. The invention carries out real-time operation monitoring, and generates an early warning signal when abnormal operation exists; carrying out early warning shooting; when the abnormal repair cannot be completed, generating a cooperative signal, and determining cooperative personnel and a cooperative address; when the repair cannot be completed, obtaining supplementary shooting data; and when the repair cannot be completed, sending field processing information to the cooperative address. Can carry out unusual monitoring early warning, carry out early warning shooting and data transmission when carrying out cooperative communication, and then acquire the feedback and carry out cooperative processing to carry out further supplementary shooting when can not cooperative processing, thereby in time send the abnormal conditions on scene to the technical staff of official working in coordination, and carry out the restoration attempt in coordination, in time carry out further processing when can not accomplish the restoration, thereby can realize more effective, the cooperative office work who accords with actual demand.
Description
Technical Field
The invention belongs to the technical field of cooperative office management, and particularly relates to a cooperative office management method and system based on artificial intelligence.
Background
With the improvement of the requirement of enterprises on cooperative office, the definition of cooperative office is expanded, and the definition of cooperative office is promoted to the scope of intelligent office. Most enterprises not only need to solve the conventional collaborative functions of daily office, asset management, business management, information exchange and the like, but also put forward further requirements in the aspects of instant communication, data sharing, mobile office and the like, and many enterprises also seek a comprehensive management application platform for managing enterprises with low cost, high performance, high integration and intelligence, so that the requirement on a collaborative office system is higher and higher.
In the first-line production process of a production type enterprise, technicians are generally required to conduct production guidance on a production line to solve abnormal conditions occurring in the production line at any time, but in some special conditions, the technicians may not be in the production line, and therefore when abnormal conditions exist, the cooperation work with corresponding technicians is required to process the abnormal conditions on the site, however, the existing cooperation work management system is generally simple in function, and only can assist the production line personnel to contact the related technicians to conduct instant communication, and the technicians cannot timely know abnormal information, so that the abnormal conditions are difficult to be cooperatively processed.
Disclosure of Invention
The embodiment of the invention aims to provide a cooperative office management method and system based on artificial intelligence, and aims to solve the problems in the background art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the cooperative office management method based on artificial intelligence specifically comprises the following steps:
performing real-time operation monitoring to generate operation monitoring data, performing operation analysis, and generating an early warning signal when abnormal operation exists;
calling corresponding historical record data according to the early warning signals, determining a plurality of early warning shooting points, and carrying out early warning shooting to obtain early warning shooting data;
performing repair monitoring and monitoring timing, and generating a cooperative signal to determine cooperative personnel and a cooperative address when abnormal repair cannot be completed within a preset standard time period;
sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, judging whether repair can be completed or not, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data;
and sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, judging whether repair can be completed or not, and sending field processing information to the cooperative address when repair cannot be completed.
As a further limitation of the technical solution of the embodiment of the present invention, the performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when there is an operation abnormality specifically includes the following steps:
performing real-time operation monitoring to generate operation monitoring data;
comparing the operation monitoring data with preset standard operation data to generate a comparison result;
judging the abnormal operation according to the comparison result;
and generating an early warning signal when the abnormal operation exists.
As a further limitation of the technical solution of the embodiment of the present invention, the calling corresponding history data according to the early warning signal, determining a plurality of early warning shooting points, and performing early warning shooting to obtain early warning shooting data specifically includes the following steps:
screening data from a historical database according to the early warning signal to obtain corresponding historical record data;
determining a plurality of early warning shooting points according to the historical record data;
acquiring early warning shooting parameters corresponding to a plurality of early warning shooting points;
and carrying out early warning shooting at a plurality of early warning shooting points according to the plurality of early warning shooting parameters to obtain early warning shooting data.
As a further limitation of the technical solution of the embodiment of the present invention, the performing repair monitoring and monitoring timing, when abnormal repair cannot be completed within a preset standard time period, generating a cooperative signal, and determining cooperative personnel and a cooperative address specifically includes the following steps:
repairing and monitoring are carried out within a preset standard time period, and whether abnormal repairing can be finished or not is judged;
when the abnormal repair cannot be completed, generating a cooperative signal;
and determining cooperative personnel and a corresponding cooperative address according to the cooperative signal.
As a further limitation of the technical solution of the embodiment of the present invention, the sending the early warning shooting data to the cooperative address, receiving the first feedback information, performing cooperative processing, determining whether repair can be completed, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data specifically includes the following steps:
sending the early warning shooting data to the cooperative address;
receiving first feedback information sent by the cooperative address feedback;
performing cooperative processing and monitoring according to the first feedback information to generate first cooperative monitoring data;
judging whether the repair can be completed or not according to the first cooperative monitoring data;
and when the repair cannot be completed, performing supplementary shooting on the plurality of preset shooting points to obtain supplementary shooting data.
As a further limitation of the technical solution of the embodiment of the present invention, the sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, determining whether repair can be completed, and sending field processing information to the cooperative address when repair cannot be completed specifically includes the following steps:
sending the supplementary shooting data to the cooperative address;
receiving second feedback information sent by the cooperative address feedback;
performing cooperative processing and monitoring according to the second feedback information to generate second cooperative monitoring data;
judging whether the repair can be completed or not according to the second cooperative monitoring data;
and when the repair cannot be completed, generating and sending field processing information to the cooperative address.
Cooperative office management system based on artificial intelligence, the system includes real-time operation monitoring unit, early warning signal processing unit, cooperative signal processing unit, first cooperative processing unit and second cooperative processing unit, wherein:
the real-time operation monitoring unit is used for carrying out real-time operation monitoring, generating operation monitoring data, carrying out operation analysis and generating an early warning signal when abnormal operation exists;
the early warning signal processing unit is used for calling corresponding historical record data according to the early warning signal, determining a plurality of early warning shooting points, and carrying out early warning shooting to obtain early warning shooting data;
the cooperative signal processing unit is used for carrying out repair monitoring and monitoring timing, generating a cooperative signal and determining cooperative personnel and a cooperative address when abnormal repair cannot be completed within a preset standard time period;
the first cooperative processing unit is used for sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, judging whether repair can be completed or not, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data;
and the second cooperative processing unit is used for sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, judging whether repair can be completed or not, and sending field processing information to the cooperative address when repair cannot be completed.
As a further limitation of the technical solution of the embodiment of the present invention, the real-time operation monitoring unit specifically includes:
the operation monitoring module is used for carrying out real-time operation monitoring and generating operation monitoring data;
the standard comparison module is used for comparing the operation monitoring data with preset standard operation data to generate a comparison result;
the abnormity judgment module is used for judging the abnormal operation according to the comparison result;
and the abnormity early warning module is used for generating an early warning signal when the operation abnormity exists.
As a further limitation of the technical solution of the embodiment of the present invention, the early warning signal processing unit specifically includes:
the data screening module is used for screening data from a historical database according to the early warning signal to obtain corresponding historical record data;
the shooting point determining module is used for determining a plurality of early warning shooting points according to the historical record data;
the parameter acquisition module is used for acquiring early warning shooting parameters corresponding to the early warning shooting points;
and the early warning shooting module is used for carrying out early warning shooting at a plurality of early warning shooting points according to the plurality of early warning shooting parameters to obtain early warning shooting data.
As a further limitation of the technical solution of the embodiment of the present invention, the cooperative signal processing unit specifically includes:
the repair monitoring module is used for performing repair monitoring within a preset standard time period and judging whether abnormal repair can be completed or not;
the cooperative signal generation module is used for generating a cooperative signal when the abnormal repair cannot be completed;
and the cooperative signal processing module is used for determining cooperative personnel and a corresponding cooperative address according to the cooperative signal.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention generates the early warning signal when the abnormal operation exists by monitoring the real-time operation; carrying out early warning shooting; when abnormal repair cannot be completed, generating a cooperative signal, and determining cooperative personnel and a cooperative address; when the repair cannot be completed, obtaining supplementary shooting data; and when the repair cannot be completed, sending field processing information to the cooperative address. Can carry out unusual monitoring early warning, carry out early warning shooting and data transmission when carrying out cooperative communication, and then acquire the feedback and carry out cooperative processing to carry out further supplementary shooting when can not cooperative processing, thereby in time send the abnormal conditions on scene to the technical staff of official working in coordination, and carry out the restoration attempt in coordination, in time carry out further processing when can not accomplish the restoration, thereby can realize more effective, the cooperative office work who accords with actual demand.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flow chart of real-time operation monitoring analysis in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart for obtaining early warning shooting data in the method provided by the embodiment of the invention.
Fig. 4 shows a flowchart of the repair monitoring cooperative processing in the method provided by the embodiment of the present invention.
Fig. 5 shows a flowchart for obtaining supplementary shot data in the method provided by the embodiment of the invention.
Fig. 6 shows a flowchart of sending field processing information in the method provided by the embodiment of the present invention.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the invention.
Fig. 8 is a block diagram illustrating a real-time operation monitoring unit in the system according to the embodiment of the present invention.
Fig. 9 shows a block diagram of an early warning signal processing unit in the system according to the embodiment of the present invention.
Fig. 10 shows a block diagram of a cooperative signal processing unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the prior art, the cooperative office management system is generally simple in function, and only can assist production line personnel to contact related technical personnel for instant communication, and the technical personnel cannot know abnormal information in time, so that it is difficult to complete abnormal processing in a cooperative manner.
In order to solve the problems, the embodiment of the invention generates the early warning signal when the operation is abnormal by monitoring the real-time operation; carrying out early warning shooting; when abnormal repair cannot be completed, generating a cooperative signal, and determining cooperative personnel and a cooperative address; when the repair cannot be completed, obtaining supplementary shooting data; and when the repair cannot be completed, sending field processing information to the cooperative address. Can carry out unusual monitoring early warning, carry out early warning shooting and data transmission when carrying out cooperative communication, and then acquire the feedback and carry out cooperative processing to carry out further supplementary shooting when can not cooperative processing, thereby in time send the abnormal conditions on scene to the technical staff of official working in coordination, and carry out the restoration attempt in coordination, in time carry out further processing when can not accomplish the restoration, thereby can realize more effective, the cooperative office work who accords with actual demand.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the collaborative office management method based on artificial intelligence specifically comprises the following steps:
and S101, performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when abnormal operation exists.
In the embodiment of the invention, when the demand of the automobile cameras is increased rapidly and normal production of a production line cannot meet the demand, production work needs to be carried out on a camera module production line in daytime and at night, production workers of the camera module production line are arranged in two shifts, technicians keep normal working time and keep a to-be-coordinated state in non-working time, so that in the late working period, the technicians can be out of the site of the camera module production line, real-time operation monitoring is carried out on the camera module production line, data (temperature, humidity, air tightness detection data, central point consistency detection data, definition detection data and the like) of each monitoring position of the production line are recorded, operation monitoring data are obtained comprehensively, the operation monitoring data are compared with preset standard operation data, when the operation monitoring data do not accord with the standard operation data, the fact that the operation of the camera module production line is abnormal is judged, and an early warning signal is generated at the moment (for example, when the temperature of the camera module production line cannot meet the standard demand, an abnormal operation exists, an early warning signal is generated, and when the central point consistency detection data in the camera module is carried out, 5 camera modules exist, and the abnormal detection signals are generated through the camera modules.
Specifically, fig. 2 shows a flowchart of real-time operation monitoring analysis in the method provided in the embodiment of the present invention.
In a preferred embodiment of the present invention, the performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when there is an operation anomaly specifically includes the following steps:
step S1011, real-time operation monitoring is performed, and operation monitoring data is generated.
Step S1012, comparing the operation monitoring data with preset standard operation data, and generating a comparison result.
And step S1013, judging the running abnormity according to the comparison result.
And step S1014, generating an early warning signal when the operation is abnormal.
Further, the collaborative office management method based on artificial intelligence further comprises the following steps:
and S102, calling corresponding historical record data according to the early warning signals, determining a plurality of early warning shooting points, and carrying out early warning shooting to obtain early warning shooting data.
In the embodiment of the invention, under each different abnormal operation condition, the generated early warning signals are different, corresponding historical record data are screened from a historical database according to the generated early warning signals, the historical record data are analyzed to determine shooting positions, shooting heights, shooting angles, diopter parameters and the like which are shot when corresponding abnormal operation processing is carried out before, a plurality of early warning shooting points are obtained according to a plurality of shooting positions, early warning shooting parameters corresponding to a plurality of early warning shooting points are obtained according to a plurality of shooting heights, a plurality of shooting angles and a plurality of diopter parameters, an artificial intelligent shooting robot is driven to act, and shooting is carried out at the plurality of early warning shooting points according to the corresponding early warning shooting points to obtain early warning shooting data. (for example, when the abnormal operation corresponding to the early warning signal is that "the central point consistency of 5 continuous camera modules is detected in the camera module production line, and the central point consistency of the camera modules does not pass" the abnormal operation corresponding to the early warning signal, the multiple early warning shooting points are determined to be "consistency detection tooling position, consistency detection plate position, and module lens assembly process position" according to the corresponding historical record data, and then shooting is performed at the three early warning shooting points according to the corresponding early warning shooting parameters, so as to obtain the shot images or video data of the three early warning shooting points).
Specifically, fig. 3 shows a flowchart for obtaining early warning shooting data in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the retrieving corresponding history data according to the early warning signal, determining a plurality of early warning shooting points, and performing early warning shooting to obtain early warning shooting data specifically includes the following steps:
and S1021, screening data from a historical database according to the early warning signal, and acquiring corresponding historical record data.
Step S1022, determining a plurality of early warning shooting points according to the history data.
And step S1023, acquiring a plurality of early warning shooting parameters corresponding to the early warning shooting points.
And step S1024, carrying out early warning shooting at a plurality of early warning shooting points according to the early warning shooting parameters to obtain early warning shooting data.
Further, the collaborative office management method based on artificial intelligence further comprises the following steps:
and step S103, performing repair monitoring and monitoring timing, and generating a cooperative signal to determine cooperative personnel and cooperative addresses when abnormal repair cannot be completed within a preset standard time period.
In the embodiment of the invention, after the early warning signal appears, a worker of the production line can try to perform abnormal repair, timing is started when the early warning signal appears, whether the early warning signal is eliminated or not is judged when a preset standard time period is reached, if the early warning signal cannot be eliminated, the worker of the production line cannot complete the abnormal repair, a cooperative signal is generated at the moment, a technician corresponding to the camera module production line is determined according to the cooperative signal, the contact information of the technician is obtained, the technician is marked as a cooperative person, and the cooperative address of the cooperative person is obtained from the contact information.
It is understood that the collaboration address may be a communication address of a collaboration personnel mobile office notebook.
Specifically, fig. 4 shows a flowchart of the repair monitoring cooperative processing in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the monitoring and timing the repair, generating a cooperative signal when the abnormal repair cannot be completed within a preset standard time period, and determining the cooperative personnel and the cooperative address specifically include the following steps:
and step S1031, carrying out repair monitoring in a preset standard time period, and judging whether the abnormal repair can be completed.
In step S1032, when the abnormality recovery cannot be completed, a cooperative signal is generated.
And step S1033, determining cooperative personnel and a corresponding cooperative address according to the cooperative signals.
Further, the collaborative office management method based on artificial intelligence further comprises the following steps:
and step S104, sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, judging whether repair can be completed or not, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data.
In the embodiment of the invention, the early warning shooting data is sent to the cooperative address, cooperative personnel are awakened to perform cooperative work, the cooperative personnel can feed back and input corresponding processing strategies after checking the early warning shooting data to generate first feedback information, cooperative processing is performed according to the processing strategies corresponding to the first feedback information by receiving the first feedback information, whether the abnormality can be repaired is judged, if the abnormality cannot be repaired after the cooperative processing, the early warning signal cannot be eliminated, the abnormality cannot be repaired in a cooperative mode, at the moment, the artificial intelligent shooting robot is driven to act, and supplementary shooting is performed according to preset corresponding shooting parameters at a plurality of preset shooting points to obtain supplementary shooting data.
It can be understood that, at each important process position (for example, an air tightness glue dispensing position, a glue drying position, a module assembling position and the like) of the camera module production line, a relevant preset shooting point is arranged, and corresponding shooting parameters are corresponding to the preset shooting points; the plurality of early warning shooting points are selected from the plurality of preset shooting points, so that the early warning shooting points belong to the preset shooting points.
Specifically, fig. 5 shows a flowchart of obtaining supplementary shot data in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, determining whether repair can be completed, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data specifically includes the following steps:
and S1041, sending the early warning shooting data to the cooperative address.
Step S1042, receiving the first feedback information sent by the cooperative address feedback.
And step S1043, performing cooperative processing and monitoring according to the first feedback information, and generating first cooperative monitoring data.
And step S1044, judging whether the repair can be completed or not according to the first cooperative monitoring data.
And step S1045, when the repair cannot be completed, performing supplementary shooting on the plurality of preset shooting points to obtain supplementary shooting data.
Further, the collaborative office management method based on artificial intelligence further comprises the following steps:
and step S105, sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, judging whether repair can be completed or not, and sending field processing information to the cooperative address when repair cannot be completed.
In the embodiment of the invention, by sending the supplementary shooting data to the cooperative address, cooperative personnel can check the operation condition of each important process of the camera module production line through the supplementary shooting data, further feed back and input a corresponding processing strategy to generate second feedback information, perform cooperative processing according to the processing strategy corresponding to the second feedback information by receiving the second feedback information, and judge whether the abnormality can be repaired, if the abnormality cannot be repaired by the cooperative processing, the early warning signal cannot be eliminated, indicating that the abnormality cannot be repaired by the cooperative processing, at this time, field processing information is generated, and the field processing information is sent to the cooperative address to inform the cooperative personnel of arriving at the operation abnormality of the field processing camera module production line.
Specifically, fig. 6 shows a flowchart of sending field processing information in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, determining whether repair can be completed, and sending field processing information to the cooperative address when repair cannot be completed specifically includes the following steps:
step S1051, sending the supplementary shooting data to the cooperation address.
Step S1052, receiving the second feedback information sent by the cooperative address feedback.
And step S1053, performing cooperative processing and monitoring according to the second feedback information to generate second cooperative monitoring data.
And step S1054, judging whether the repair can be completed according to the second cooperative monitoring data.
And step S1055, when the repair can not be completed, generating and sending the field processing information to the cooperative address.
Further, fig. 7 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides an artificial intelligence-based collaborative office management system, including:
and the real-time operation monitoring unit 101 is used for performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when abnormal operation exists.
In the embodiment of the invention, when the demand of the automobile camera is rapidly increased and the normal production of the production line cannot meet the demand, the production work of the camera module production line needs to be kept both in the daytime and in the evening, two shifts of production workers of the camera module production line are arranged, the technicians keep the normal working time, but the to-be-coordinated state needs to be kept in the non-working time, so that the technicians can not be on site of the camera module production line in the late working period, the real-time operation monitoring unit 101 monitors the real-time operation of the camera module production line, records the data of each monitoring position of the production line, comprehensively obtains the operation monitoring data, compares the operation monitoring data with the preset standard operation data, judges that the operation of the camera module production line is abnormal when the operation monitoring data does not accord with the standard operation data, and generates the early warning signal at the moment.
Specifically, fig. 8 shows a block diagram of a real-time operation monitoring unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the real-time operation monitoring unit 101 specifically includes:
and the operation monitoring module 1011 is used for performing real-time operation monitoring and generating operation monitoring data.
And a standard comparing module 1012, configured to compare the operation monitoring data with preset standard operation data, and generate a comparison result.
And an abnormality determining module 1013 configured to determine an operation abnormality according to the comparison result.
And the abnormity early warning module 1014 is used for generating an early warning signal when the operation abnormity exists.
Further, the cooperative office management system based on artificial intelligence further includes:
and the early warning signal processing unit 102 is configured to call corresponding historical record data according to the early warning signal, determine a plurality of early warning shooting points, perform early warning shooting, and obtain early warning shooting data.
In the embodiment of the present invention, the generated early warning signals are different under each different abnormal operation condition, the early warning signal processing unit 102 screens corresponding historical record data from the historical database according to the generated early warning signals, analyzes the historical record data to determine shooting positions, shooting heights, shooting angles, diopter parameters, and the like of shooting performed before the corresponding abnormal operation condition is processed, obtains a plurality of early warning shooting points according to the plurality of shooting positions, obtains early warning shooting parameters corresponding to the plurality of early warning shooting points according to the plurality of shooting heights, the plurality of shooting angles, and the plurality of diopter parameters, further drives the artificial intelligent shooting robot to act, and shoots according to the corresponding early warning points at the plurality of early warning shooting points to obtain early warning shooting data.
Specifically, fig. 9 shows a block diagram of a configuration of the early warning signal processing unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the early warning signal processing unit 102 specifically includes:
and the data screening module 1021 is used for screening data from a historical database according to the early warning signal to acquire corresponding historical record data.
A shooting point determining module 1022, configured to determine a plurality of early warning shooting points according to the history data.
And the parameter acquisition module 1023 is used for acquiring a plurality of early warning shooting parameters corresponding to the early warning shooting points.
And the early warning shooting module 1024 is used for performing early warning shooting at a plurality of early warning shooting points according to the early warning shooting parameters to obtain early warning shooting data.
Further, the cooperative office management system based on artificial intelligence further includes:
and the cooperative signal processing unit 103 is configured to perform repair monitoring and monitoring timing, and when abnormal repair cannot be completed within a preset standard time period, generate a cooperative signal and determine a cooperative person and a cooperative address.
In the embodiment of the present invention, after the early warning signal occurs, a worker of the production line may attempt to perform exception repair, the cooperative signal processing unit 103 starts timing when the early warning signal occurs, determines whether the early warning signal is eliminated when a preset standard time period is reached, and if the early warning signal is not eliminated, indicates that the worker of the production line cannot complete exception repair, generates the cooperative signal at this time, determines a technician corresponding to the camera module production line according to the cooperative signal, acquires contact information of the technician, marks the contact information as a cooperative person, and acquires a cooperative address of the cooperative person from the contact information.
Specifically, fig. 10 shows a block diagram of a structure of the cooperative signal processing unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the cooperative signal processing unit 103 specifically includes:
and a repair monitoring module 1031, configured to perform repair monitoring within a preset standard time period, and determine whether to complete the abnormal repair.
And a cooperative signal generation module 1032, configured to generate a cooperative signal when the exception recovery cannot be completed.
A cooperative signal processing module 1033, configured to determine a cooperative person and a corresponding cooperative address according to the cooperative signal.
Further, the collaborative office management system based on artificial intelligence further includes:
the first cooperative processing unit 104 is configured to send the early warning shooting data to the cooperative address, receive the first feedback information, perform cooperative processing, determine whether repair can be completed, and perform supplementary shooting on the plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data.
In the embodiment of the present invention, the first cooperative processing unit 104 sends the early warning shooting data to a cooperative address, and wakes up cooperative personnel to perform cooperative work, the cooperative personnel may, after checking the early warning shooting data, feed back and input a corresponding processing countermeasure, generate first feedback information, perform cooperative processing according to the processing countermeasure corresponding to the first feedback information by receiving the first feedback information, and determine whether the abnormality can be repaired, if the early warning signal cannot be eliminated after the cooperative processing, it indicates that the abnormality cannot be repaired by the cooperative processing, at this time, the artificial intelligent shooting robot is driven to act, and at a plurality of preset shooting points, supplementary shooting is performed according to preset corresponding shooting parameters, so as to obtain supplementary shooting data.
And the second cooperative processing unit 105 is configured to send the supplementary shooting data to the cooperative address, receive second feedback information, perform cooperative processing, determine whether repair can be completed, and send field processing information to the cooperative address when repair cannot be completed.
In the embodiment of the present invention, the second cooperative processing unit 105 sends the supplementary shooting data to the cooperative address, and the cooperative personnel can check the operation condition of each important process of the camera module production line through the supplementary shooting data, and then feed back and input the corresponding processing strategy to generate second feedback information, and perform cooperative processing according to the processing strategy corresponding to the second feedback information by receiving the second feedback information, and determine whether the abnormality can be repaired, if the warning signal cannot be eliminated after the cooperative processing, it indicates that the abnormality cannot be repaired by the cooperative processing, and at this time, field processing information is generated, and the field processing information is sent to the cooperative address, so as to notify the cooperative personnel of the operation abnormality reaching the field processing camera module production line.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The cooperative office management method based on artificial intelligence is characterized by comprising the following steps:
performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when abnormal operation exists;
calling corresponding historical record data according to the early warning signals, determining a plurality of early warning shooting points, and carrying out early warning shooting to obtain early warning shooting data;
performing repair monitoring and monitoring timing, and generating a cooperative signal to determine cooperative personnel and a cooperative address when abnormal repair cannot be completed within a preset standard time period;
sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, judging whether repair can be completed or not, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data;
specifically, early warning shooting data are sent to a cooperative address, cooperative personnel are awakened to perform cooperative work, after the early warning shooting data are checked, the cooperative personnel feed back and input corresponding processing strategies to generate first feedback information, cooperative processing is performed according to the processing strategies corresponding to the first feedback information by receiving the first feedback information, whether abnormality can be repaired is judged, if the abnormality can not be repaired after the cooperative processing, the early warning signals cannot be eliminated, it is indicated that the abnormality cannot be repaired by the cooperative processing, at the moment, the artificial intelligent shooting robot is driven to act, and supplementary shooting is performed according to preset corresponding shooting parameters at a plurality of preset shooting points to obtain supplementary shooting data;
sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, judging whether repair can be completed or not, and sending field processing information to the cooperative address when repair cannot be completed;
specifically, the supplementary shooting data is sent to the cooperative address, cooperative personnel check the operation condition of each important process of the camera module production line through the supplementary shooting data, and then feed back and input a corresponding processing strategy to generate second feedback information, and perform cooperative processing according to the processing strategy corresponding to the second feedback information by receiving the second feedback information, and judge whether the abnormality can be repaired, if the abnormality cannot be repaired after the cooperative processing, the early warning signal cannot be eliminated, it indicates that the abnormality cannot be repaired by the cooperative processing, field processing information is generated at the moment, and the field processing information is sent to the cooperative address, so that the cooperative personnel is informed of the abnormal operation of the field processing camera module production line.
2. The collaborative office management method based on artificial intelligence according to claim 1, wherein the performing real-time operation monitoring, generating operation monitoring data, performing operation analysis, and generating an early warning signal when there is an operation abnormality specifically comprises the steps of:
performing real-time operation monitoring to generate operation monitoring data;
comparing the operation monitoring data with preset standard operation data to generate a comparison result;
judging the abnormal operation according to the comparison result;
and when the operation is abnormal, generating an early warning signal.
3. The collaborative office management method based on artificial intelligence according to claim 1, wherein the steps of calling corresponding historical record data according to the early warning signal, determining a plurality of early warning shooting points, and performing early warning shooting to obtain early warning shooting data specifically include:
screening data from a historical database according to the early warning signal to obtain corresponding historical record data;
determining a plurality of early warning shooting points according to the historical record data;
acquiring early warning shooting parameters corresponding to a plurality of early warning shooting points;
and carrying out early warning shooting at a plurality of early warning shooting points according to the plurality of early warning shooting parameters to obtain early warning shooting data.
4. The collaborative office management method based on artificial intelligence of claim 1, wherein the performing repair monitoring and monitoring timing, generating a collaborative signal when abnormal repair cannot be completed within a preset standard time period, and determining collaborative personnel and collaborative addresses specifically comprises the following steps:
repairing and monitoring are carried out within a preset standard time period, and whether abnormal repairing can be finished or not is judged;
when the abnormal repair cannot be completed, generating a cooperative signal;
and determining cooperative personnel and a corresponding cooperative address according to the cooperative signal.
5. The cooperative office management method based on artificial intelligence of claim 1, wherein the sending the early warning shooting data to the cooperative address, receiving the first feedback information, performing cooperative processing, determining whether repair can be completed, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data specifically comprises the following steps:
sending the early warning shooting data to the cooperative address;
receiving first feedback information sent by the cooperative address feedback;
performing cooperative processing and monitoring according to the first feedback information to generate first cooperative monitoring data;
judging whether the repair can be completed or not according to the first cooperative monitoring data;
and when the repair cannot be completed, performing supplementary shooting on the plurality of preset shooting points to obtain supplementary shooting data.
6. The collaborative office management method based on artificial intelligence according to claim 1, wherein the sending the supplementary shot data to the collaborative address, receiving second feedback information, performing collaborative processing, determining whether repair can be completed, and sending field processing information to the collaborative address when repair cannot be completed specifically includes the following steps:
sending the supplementary shooting data to the cooperative address;
receiving second feedback information sent by the cooperative address feedback;
performing cooperative processing and monitoring according to the second feedback information to generate second cooperative monitoring data;
judging whether the repair can be completed or not according to the second cooperative monitoring data;
and when the repair cannot be completed, generating and sending field processing information to the cooperative address.
7. Cooperative office management system based on artificial intelligence, characterized in that, the system includes real-time operation monitoring unit, early warning signal processing unit, cooperative signal processing unit, first cooperative processing unit and second cooperative processing unit, wherein:
the real-time operation monitoring unit is used for carrying out real-time operation monitoring, generating operation monitoring data, carrying out operation analysis and generating an early warning signal when abnormal operation exists;
the early warning signal processing unit is used for calling corresponding historical record data according to the early warning signal, determining a plurality of early warning shooting points, and carrying out early warning shooting to obtain early warning shooting data;
the cooperative signal processing unit is used for carrying out repair monitoring and monitoring timing, generating a cooperative signal and determining cooperative personnel and a cooperative address when abnormal repair cannot be completed within a preset standard time period;
the first cooperative processing unit is used for sending the early warning shooting data to the cooperative address, receiving first feedback information, performing cooperative processing, judging whether repair can be completed or not, and performing supplementary shooting on a plurality of preset shooting points when repair cannot be completed to obtain supplementary shooting data;
specifically, the first cooperative processing unit sends the early warning shooting data to a cooperative address, and wakes up cooperative personnel to perform cooperative work, the cooperative personnel feeds back and inputs a corresponding processing strategy after checking the early warning shooting data to generate first feedback information, performs cooperative processing according to the processing strategy corresponding to the first feedback information by receiving the first feedback information, and judges whether the abnormality can be repaired, if the abnormality cannot be repaired by the cooperative processing and the early warning signal cannot be eliminated, the abnormality cannot be repaired by the cooperative processing, at this time, the artificial intelligent shooting robot is driven to act, and supplementary shooting is performed according to preset corresponding shooting parameters at a plurality of preset shooting points to obtain supplementary shooting data;
and the second cooperative processing unit is used for sending the supplementary shooting data to the cooperative address, receiving second feedback information, performing cooperative processing, judging whether repair can be completed or not, and sending field processing information to the cooperative address when repair cannot be completed.
Specifically, the second cooperative processing unit sends the supplementary shooting data to the cooperative address, cooperative personnel check the operation condition of each important process of the camera module production line through the supplementary shooting data, further feed back and input a corresponding processing strategy to generate second feedback information, perform cooperative processing according to the processing strategy corresponding to the second feedback information by receiving the second feedback information, and judge whether the abnormality can be repaired, if the abnormality cannot be repaired after the cooperative processing, the early warning signal cannot be eliminated, it is indicated that the abnormality cannot be repaired by the cooperative processing, at this time, on-site processing information is generated and sent to the cooperative address, and the cooperative personnel are notified to arrive at the operation abnormality of the on-site processing camera module production line.
8. The collaborative office management system based on artificial intelligence of claim 7, wherein the real-time operation monitoring unit specifically comprises:
the operation monitoring module is used for carrying out real-time operation monitoring and generating operation monitoring data;
the standard comparison module is used for comparing the operation monitoring data with preset standard operation data to generate a comparison result;
the abnormity judgment module is used for judging the abnormal operation according to the comparison result;
and the abnormity early warning module is used for generating an early warning signal when the operation abnormity exists.
9. The collaborative office management system based on artificial intelligence of claim 7, wherein the early warning signal processing unit specifically comprises:
the data screening module is used for screening data from a historical database according to the early warning signal to obtain corresponding historical record data;
the shooting point determining module is used for determining a plurality of early warning shooting points according to the historical record data;
the parameter acquisition module is used for acquiring early warning shooting parameters corresponding to the early warning shooting points;
and the early warning shooting module is used for carrying out early warning shooting at a plurality of early warning shooting points according to the plurality of early warning shooting parameters to obtain early warning shooting data.
10. The collaborative office management system based on artificial intelligence of claim 7, wherein the collaborative signal processing unit specifically comprises:
the repair monitoring module is used for performing repair monitoring within a preset standard time period and judging whether abnormal repair can be completed or not;
the cooperative signal generation module is used for generating a cooperative signal when the abnormal repair cannot be completed;
and the cooperative signal processing module is used for determining cooperative personnel and a corresponding cooperative address according to the cooperative signal.
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| CN116882945B (en) * | 2023-09-05 | 2023-12-26 | 圣奥科技股份有限公司 | Collaborative office method, equipment and medium based on office area station information |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012168920A (en) * | 2011-01-26 | 2012-09-06 | Mitsubishi Heavy Ind Ltd | Management system of maintenance workers |
| CN106339829A (en) * | 2016-11-10 | 2017-01-18 | 国网山东省电力公司济南供电公司 | Big data, Cloud, IoT and mobile internet technologies based active maintenance panorama monitoring system of power distribution network |
| CN107392495A (en) * | 2017-08-04 | 2017-11-24 | 国网浙江省电力公司 | A kind of acquisition abnormity closed-loop process method based on multi-specialized more post collaborations |
| CN107862883A (en) * | 2017-12-21 | 2018-03-30 | 天津市中环系统工程有限责任公司 | The fault detect and alarm of traffic lights and operation management system and implementation method |
| CN108750854A (en) * | 2018-08-20 | 2018-11-06 | 山东润智能科技有限公司 | Hospital elevator security stereo monitors cloud platform, system and method, elevator device |
| CN109019715A (en) * | 2018-08-20 | 2018-12-18 | 山东润智能科技有限公司 | Medical sewage handles security stereo and monitors cloud platform, system and method |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN114781933A (en) * | 2022-06-17 | 2022-07-22 | 山东华方智联科技股份有限公司 | Electromechanical device monitoring and management system and method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523660B (en) * | 2020-04-15 | 2024-06-21 | 南京清然能源科技有限公司 | Audio-visual heat integrated abnormality detection alarm method based on artificial intelligence |
| CN113554834A (en) * | 2021-08-03 | 2021-10-26 | 匠人智慧(江苏)科技有限公司 | Chemical industry park visual identification application system based on artificial intelligence technology |
-
2022
- 2022-09-21 CN CN202211146707.4A patent/CN115238932B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012168920A (en) * | 2011-01-26 | 2012-09-06 | Mitsubishi Heavy Ind Ltd | Management system of maintenance workers |
| CN106339829A (en) * | 2016-11-10 | 2017-01-18 | 国网山东省电力公司济南供电公司 | Big data, Cloud, IoT and mobile internet technologies based active maintenance panorama monitoring system of power distribution network |
| CN107392495A (en) * | 2017-08-04 | 2017-11-24 | 国网浙江省电力公司 | A kind of acquisition abnormity closed-loop process method based on multi-specialized more post collaborations |
| CN107862883A (en) * | 2017-12-21 | 2018-03-30 | 天津市中环系统工程有限责任公司 | The fault detect and alarm of traffic lights and operation management system and implementation method |
| CN108750854A (en) * | 2018-08-20 | 2018-11-06 | 山东润智能科技有限公司 | Hospital elevator security stereo monitors cloud platform, system and method, elevator device |
| CN109019715A (en) * | 2018-08-20 | 2018-12-18 | 山东润智能科技有限公司 | Medical sewage handles security stereo and monitors cloud platform, system and method |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN114781933A (en) * | 2022-06-17 | 2022-07-22 | 山东华方智联科技股份有限公司 | Electromechanical device monitoring and management system and method |
Non-Patent Citations (2)
| Title |
|---|
| 基于人机协同技术的农业收割机故障诊断系统设计;龚洪浪;《农机化研究》;20180301(第03期);全文 * |
| 网络安全协同防卫系统研究与实现;安喜锋等;《西安交通大学学报》;20081210(第12期);全文 * |
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