Intelligent workshop management system based on Internet of Things

Abstract

The invention is suitable for the technical field of workshop management, and provides an intelligent workshop management system based on the Internet of Things, and the system comprises a tool equipment monitoring module which is used for obtaining a plurality of pieces of online monitoring data; the state abnormity analysis module is used for selecting abnormal tool equipment; the order responsibility analysis module is used for matching a current person in charge; the feature positioning analysis module is used for performing feature positioning analysis to obtain a current positioning area of the current person in charge; the auxiliary notification processing module is used for matching a plurality of auxiliary notification devices and carrying out auxiliary notification; and an exception processing and recording module. According to the method, order responsibility analysis can be performed on abnormal tool equipment, the current person in charge is matched, feature positioning analysis is performed, the current positioning area of the current person in charge is obtained, a plurality of auxiliary notification devices are matched, and auxiliary notification of abnormal processing is performed, so that workshop management personnel do not need to inquire a plurality of persons in charge one by one, and automatic processing of a flow is realized; and the exception handling time of the tool equipment is effectively shortened.

Description

Technical Field

[0001] The present invention belongs to the technical field of workshop management, and in particular relates to an intelligent workshop management system based on the Internet of Things. Background Art

[0002] Shop floor management is a series of planning, organizing, directing, coordinating and controlling activities in the workshops used to produce products in manufacturing enterprises. Shop floor management is an important part of production management, which aims to ensure that the production process is carried out efficiently and orderly while achieving the predetermined quality standards and cost targets.

[0003] Effective workshop management can help enterprises improve production efficiency, reduce costs, and ensure product quality, thereby enhancing their competitiveness in the market.

[0004] In the prior art, for abnormal handling of tooling equipment in workshop management, it is usually necessary for workshop managers to contact relevant abnormal maintenance personnel for processing. Since abnormal tooling equipment usually has multiple people in charge, the workshop manager needs to inquire multiple responsible persons one by one. The process is cumbersome and complicated, which greatly affects the abnormal handling time of the tooling equipment. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide an intelligent workshop management system based on the Internet of Things, aiming to solve the technical problems existing in the prior art mentioned in the background technology.

[0006] The embodiment of the present invention is implemented as follows:

[0007] An intelligent workshop management system based on the Internet of Things, the system includes a tooling equipment monitoring module, a state abnormality analysis module, an order responsibility analysis module, a feature positioning analysis module, an auxiliary notification processing module and an abnormality processing recording module, wherein:

[0008] The tooling equipment monitoring module is used to determine the target management workshop, monitor multiple online tooling equipment in the target management workshop based on the Internet of Things technology, and obtain multiple online monitoring data;

[0009] A state abnormality analysis module, used to perform state analysis on the plurality of online monitoring data, select abnormal tooling equipment from the plurality of online tooling equipment, and obtain the abnormal online position;

[0010] An order responsibility analysis module is used to perform order responsibility analysis on the abnormal tooling equipment, match the current responsible person, obtain attendance shooting data, and extract the current feature data of the current responsible person;

[0011] A feature location analysis module is used to obtain real-time monitoring data, perform feature location analysis based on the current feature data, and obtain the current location area of ​​the current responsible person;

[0012] An auxiliary notification processing module, which is used to match multiple auxiliary notification devices according to the current positioning area based on the Internet of Things technology, generate auxiliary notification information, and perform auxiliary notification of abnormal processing through the multiple auxiliary notification devices;

[0013] The exception processing record module is used to perform monitoring adjustments according to the abnormal online position, perform exception processing records based on the current feature data, and extract and upload processing record data.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the tooling equipment monitoring module specifically includes:

[0015] Target determination unit, used to determine the target management workshop;

[0016] A planning acquisition unit, used to acquire the production planning information of the target management workshop;

[0017] An information analysis unit, used to analyze the production planning information and determine a plurality of online tooling equipment;

[0018] The online monitoring unit is used to monitor the plurality of online tooling equipment based on the Internet of Things technology and obtain a plurality of online monitoring data.

[0019] As a further limitation of the technical solution of the embodiment of the present invention, the state abnormality analysis module specifically includes:

[0020] A standard matching unit, used for matching the online standard data corresponding to the plurality of online tooling devices;

[0021] An abnormality analysis unit, used for comparing and analyzing the plurality of online monitoring data based on the plurality of online standard data, and selecting abnormal tooling equipment from the plurality of online tooling equipment;

[0022] A basic acquisition unit, used to acquire basic equipment information of the abnormal tooling equipment;

[0023] The position extraction unit is used to analyze the basic equipment information and extract the abnormal online position of the abnormal tooling equipment.

[0024] As a further limitation of the technical solution of the embodiment of the present invention, the abnormality analysis unit specifically includes:

[0025] A data comparison subunit, configured to compare the plurality of online monitoring data based on the plurality of online standard data to generate a plurality of data comparison results;

[0026] An abnormality judgment subunit, used for judging whether there is data abnormality according to the plurality of data comparison results;

[0027] A data selection subunit, used for selecting online abnormal data from a plurality of online monitoring data when there is data abnormality;

[0028] The tooling equipment selection subunit is used to select a corresponding abnormal tooling equipment from a plurality of online tooling equipment according to the online abnormal data.

[0029] As a further limitation of the technical solution of the embodiment of the present invention, the order responsibility analysis module specifically includes:

[0030] A responsibility analysis unit, used to obtain multiple relevant responsible persons of the abnormal tooling equipment;

[0031] An order arrangement unit, used to arrange the plurality of relevant responsible persons in order according to a preset responsibility order standard, and record order responsibility information;

[0032] An attendance data acquisition unit, used for acquiring attendance record data;

[0033] An order matching unit, used for matching a current responsible person from a plurality of related responsible persons according to the attendance record data and the order responsibility information;

[0034] The feature extraction unit is used to obtain the attendance shooting data based on the attendance record data and extract the current feature data of the current responsible person.

[0035] As a further limitation of the technical solution of the embodiment of the present invention, the feature extraction unit specifically includes:

[0036] A time determination subunit, used to determine the attendance shooting time of the current responsible person based on the attendance record data;

[0037] A data acquisition subunit, used to acquire attendance shooting data according to the attendance shooting time;

[0038] The rough feature analysis subunit is used to perform rough feature analysis on the attendance shooting data and extract the current feature data of the current responsible person.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, the feature positioning analysis module specifically includes:

[0040] A monitoring data acquisition unit, used to acquire real-time monitoring data;

[0041] A feature matching unit, configured to perform feature matching in the real-time monitoring data based on the current feature data, and determine a final matching position and a final matching time;

[0042] A duration recording unit, used to record the duration of the match disappearance according to the last match time;

[0043] A radius matching unit, used for matching the positioning diffusion radius according to the matching disappearance duration;

[0044] The area determination unit is used to determine the current positioning area of ​​the current responsible person according to the last matching position and the positioning diffusion radius.

[0045] As a further limitation of the technical solution of the embodiment of the present invention, the auxiliary notification processing module specifically includes:

[0046] an auxiliary matching unit, configured to match a plurality of auxiliary notification devices according to the current positioning area;

[0047] A notification generating unit, used for generating auxiliary notification information and auxiliary notification instructions;

[0048] a notification sending unit, configured to send the auxiliary notification information and the auxiliary notification instruction to a plurality of the auxiliary notification devices;

[0049] The auxiliary notification unit is used to broadcast the auxiliary notification information through multiple auxiliary notification devices to provide auxiliary notification of abnormal processing to the current responsible person.

[0050] As a further limitation of the technical solution of the embodiment of the present invention, the exception handling recording module specifically includes:

[0051] A monitoring and adjustment unit, used for performing monitoring and adjustment according to the abnormal online position;

[0052] A directional monitoring unit, used to monitor and photograph the abnormal online position to obtain directional monitoring data;

[0053] A processing and extracting unit, used for performing abnormal processing records and extracting processing record data based on the current feature data;

[0054] The data uploading unit is used to upload the processing record data according to a preset cloud storage location.

[0055] As a further limitation of the technical solution of the embodiment of the present invention, the monitoring adjustment unit specifically includes:

[0056] A horizontal adjustment planning subunit, used for planning a horizontal adjustment angle according to the abnormal online position;

[0057] A vertical adjustment planning subunit, used for planning a vertical adjustment angle according to the abnormal online position;

[0058] The monitoring adjustment subunit is used to perform monitoring adjustment according to the horizontal adjustment angle and the vertical adjustment angle.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] An embodiment of the present invention discloses an intelligent workshop management system based on the Internet of Things, including: a tooling equipment monitoring module for obtaining multiple online monitoring data; a state abnormality analysis module for selecting abnormal tooling equipment; an order responsibility analysis module for matching the current responsible person; a feature positioning analysis module for performing feature positioning analysis and obtaining the current positioning area of ​​the current responsible person; an auxiliary notification processing module for matching multiple auxiliary notification devices and performing auxiliary notifications; and an abnormality processing recording module. It is capable of performing order responsibility analysis on abnormal tooling equipment, matching the current responsible person, performing feature positioning analysis, obtaining the current positioning area of ​​the current responsible person, matching multiple auxiliary notification devices, and performing auxiliary notifications for abnormal processing, without the need for workshop managers to inquire multiple responsible persons one by one, thereby realizing automated processing of the process and effectively shortening the abnormal processing time of tooling equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 The application architecture diagram of the smart workshop management system based on the Internet of Things provided by an embodiment of the present invention is shown;

[0062] Figure 2 It shows a structural block diagram of a tooling equipment monitoring module in a system provided by an embodiment of the present invention;

[0063] Figure 3 A structural block diagram of a status abnormality analysis module in a system provided by an embodiment of the present invention is shown;

[0064] Figure 4 A structural block diagram of an abnormality analysis unit in a system provided by an embodiment of the present invention is shown;

[0065] Figure 5 It shows a structural block diagram of an order responsibility analysis module in a system provided by an embodiment of the present invention;

[0066] Figure 6 A structural block diagram of a feature extraction unit in a system provided by an embodiment of the present invention is shown;

[0067] Figure 7 A structural block diagram of a feature location analysis module in a system provided by an embodiment of the present invention is shown;

[0068] Figure 8It shows a structural block diagram of an auxiliary notification processing module in a system provided by an embodiment of the present invention;

[0069] Fig. 9 A structural block diagram of an exception handling recording module in a system provided by an embodiment of the present invention is shown;

[0070] Fig.10 The structure block diagram of the monitoring and adjusting unit in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0072] It is understandable that in the prior art, for abnormal handling of tooling equipment in workshop management, it is usually necessary for workshop managers to contact relevant abnormal maintenance personnel for processing. Since abnormal tooling equipment usually has multiple people in charge, the workshop manager needs to inquire multiple responsible persons one by one. The process is cumbersome and complicated, which greatly affects the abnormal handling time of the tooling equipment.

[0073] To solve the above problems, an embodiment of the present invention discloses an intelligent workshop management system based on the Internet of Things, including: a tool equipment monitoring module, which is used to determine a target management workshop, monitor multiple online tool equipment in the target management workshop based on the Internet of Things technology, and obtain multiple online monitoring data; a state abnormality analysis module, which is used to perform state analysis on multiple online monitoring data, select abnormal tool equipment from multiple online tool equipment, and obtain abnormal online positions; an order responsibility analysis module, which is used to perform order responsibility analysis on abnormal tool equipment, match the current responsible person, obtain attendance shooting data, and extract the current feature data of the current responsible person; a feature positioning analysis module, which is used to obtain real-time monitoring data, perform feature positioning analysis based on the current feature data, and obtain the current positioning area of ​​the current responsible person; an auxiliary notification processing module, which is used to match multiple auxiliary notification devices according to the current positioning area based on the Internet of Things technology, generate auxiliary notification information, and perform auxiliary notification of abnormal processing through multiple auxiliary notification devices; an abnormal processing record module, which is used to perform monitoring adjustment according to the abnormal online position, perform abnormal processing records based on the current feature data, and extract and upload processing record data. It can conduct hierarchical responsibility analysis on abnormal tooling equipment, match the current responsible personnel, conduct feature location analysis, obtain the current location area of ​​the current responsible personnel, match multiple auxiliary notification devices, and conduct auxiliary notification for abnormal handling. It eliminates the need for workshop managers to inquire multiple responsible personnel one by one, realizes automated processing of the process, and effectively shortens the abnormal handling time of tooling equipment.

[0074] Specifically, Figure 1 The application architecture diagram of the smart workshop management system based on the Internet of Things provided by an embodiment of the present invention is shown.

[0075] In a preferred embodiment of the present invention, an intelligent workshop management system based on the Internet of Things includes:

[0076] The tooling equipment monitoring module 101 is used to determine a target management workshop, monitor multiple online tooling equipment in the target management workshop based on the Internet of Things technology, and obtain multiple online monitoring data.

[0077] In an embodiment of the present invention, the tooling equipment monitoring module 101 determines the target management workshop that needs to be intelligently managed, obtains the production planning information of the target management workshop, and then analyzes the production planning information to determine the multiple online tooling equipment that needs to work in the production process and is connected to the Internet of Things. Based on the Internet of Things technology, the working process of the multiple online tooling equipment is monitored to obtain multiple online monitoring data.

[0078] Specifically, Figure 2 It shows a structural block diagram of the tooling equipment monitoring module 101 in the system provided by an embodiment of the present invention.

[0079] Among them, in the preferred embodiment provided by the present invention, the tooling equipment monitoring module 101 specifically includes:

[0080] The target determination unit 1011 is used to determine the target management workshop.

[0081] The planning acquisition unit 1012 is used to acquire the production planning information of the target management workshop.

[0082] The information analysis unit 1013 is used to analyze the production planning information and determine multiple online tooling equipment.

[0083] The online monitoring unit 1014 is used to monitor the plurality of online tooling equipment based on the Internet of Things technology and obtain a plurality of online monitoring data.

[0084] Furthermore, the intelligent workshop management system based on the Internet of Things also includes:

[0085] The state abnormality analysis module 102 is used to perform state analysis on the plurality of online monitoring data, select abnormal tooling equipment from the plurality of online tooling equipment, and obtain the abnormal online position.

[0086] In an embodiment of the present invention, the status abnormality analysis module 102 matches the online standard data corresponding to multiple online tooling equipment, and then uses the multiple online standard data as the range benchmark to compare and analyze multiple online monitoring data to generate multiple data comparison results, and then determines whether there is a data abnormality based on the multiple data comparison results. In the case of data abnormality, online abnormal data is selected from multiple online monitoring data, and then the corresponding abnormal tooling equipment is selected from multiple online tooling equipment based on the online abnormal data, and then the basic equipment information of the abnormal tooling equipment is obtained, and the abnormal online position of the abnormal tooling equipment is extracted by performing position analysis on the basic equipment information.

[0087] Specifically, Figure 3 It shows a structural block diagram of the abnormal status analysis module 102 in the system provided by an embodiment of the present invention.

[0088] Among them, in the preferred embodiment provided by the present invention, the abnormal state analysis module 102 specifically includes:

[0089] The standard matching unit 1021 is used to match the online standard data corresponding to the multiple online tooling devices.

[0090] The abnormality analysis unit 1022 is used to compare and analyze the multiple online monitoring data based on the multiple online standard data, and select abnormal tooling equipment from the multiple online tooling equipment.

[0091] Specifically, Figure 4 The structure block diagram of the abnormality analysis unit 1022 in the system provided by the embodiment of the present invention is shown.

[0092] Among them, in the preferred embodiment provided by the present invention, the abnormality analysis unit 1022 specifically includes:

[0093] The data comparison subunit 10221 is used to compare the multiple online monitoring data based on the multiple online standard data to generate multiple data comparison results.

[0094] The abnormality judgment subunit 10222 is used to judge whether there is a data abnormality based on the multiple data comparison results.

[0095] The data selection subunit 10223 is used to select online abnormal data from the multiple online monitoring data when there is data abnormality.

[0096] The tooling equipment selection subunit 10224 is used to select a corresponding abnormal tooling equipment from a plurality of online tooling equipment according to the online abnormal data.

[0097] Furthermore, the abnormal state analysis module 102 further includes:

[0098] The basic acquisition unit 1023 is used to acquire the basic equipment information of the abnormal tooling equipment.

[0099] The position extraction unit 1024 is used to analyze the basic equipment information and extract the abnormal online position of the abnormal tooling equipment.

[0100] Furthermore, the intelligent workshop management system based on the Internet of Things also includes:

[0101] The order responsibility analysis module 103 is used to perform order responsibility analysis on the abnormal tooling equipment, match the current responsible person, obtain attendance shooting data, and extract the current feature data of the current responsible person.

[0102] In an embodiment of the present invention, the order responsibility analysis module 103 obtains multiple relevant responsible persons for abnormal tooling equipment, arranges the multiple relevant responsible persons in order according to a preset responsibility order standard, records the order responsibility information, obtains attendance record data, and performs a comprehensive analysis on the attendance record data and the order responsibility information. From the multiple relevant responsible persons, the current responsible person who is in a working state is matched, and then based on the attendance record data, the attendance shooting time of the current responsible person is determined, and according to the attendance shooting time, the attendance shooting data is obtained, and the current feature data of the current responsible person is extracted by performing a rough feature analysis on the attendance shooting data.

[0103] It can be understood that the responsibility hierarchy standard is the information of the standard arrangement of responsible persons, among which the person responsible for design and manufacturing is first, the person responsible for direct maintenance is second, the superior of the person responsible for direct maintenance is third, the person responsible for indirect maintenance is third, and the superior of the person responsible for secondary maintenance is fourth.

[0104] It is understandable that the crude feature analysis is the analysis and recognition of the shape and color of the clothing pattern of the current responsible person, and does not include the simple feature analysis process of facial recognition.

[0105] Specifically, Figure 5 It shows a structural block diagram of the order responsibility analysis module 103 in the system provided by the embodiment of the present invention.

[0106] Among them, in the preferred embodiment provided by the present invention, the order responsibility analysis module 103 specifically includes:

[0107] The responsibility analysis unit 1031 is used to obtain multiple relevant responsible persons for the abnormal tooling equipment.

[0108] The order arrangement unit 1032 is used to arrange the multiple relevant responsible persons in order according to the preset responsibility order standard and record the order responsibility information.

[0109] The attendance data acquisition unit 1033 is used to acquire attendance record data.

[0110] The order matching unit 1034 is used to match the current responsible person from the multiple relevant responsible persons according to the attendance record data and the order responsibility information.

[0111] The feature extraction unit 1035 is used to obtain the attendance shooting data based on the attendance record data and extract the current feature data of the current responsible person.

[0112] Specifically, Figure 6 The structure block diagram of the feature extraction unit 1035 in the system provided by the embodiment of the present invention is shown.

[0113] Among them, in the preferred embodiment provided by the present invention, the feature extraction unit 1035 specifically includes:

[0114] The time determination subunit 10351 is used to determine the attendance shooting time of the current responsible person based on the attendance record data.

[0115] The data acquisition subunit 10352 is used to acquire the attendance shooting data according to the attendance shooting time.

[0116] The rough feature analysis subunit 10353 is used to perform a rough feature analysis on the attendance shooting data to extract the current feature data of the current responsible person.

[0117] Furthermore, the intelligent workshop management system based on the Internet of Things also includes:

[0118] The feature location analysis module 104 is used to obtain real-time monitoring data, perform feature location analysis based on the current feature data, and obtain the current location area of ​​the current responsible person.

[0119] In an embodiment of the present invention, the feature positioning analysis module 104 obtains real-time monitoring data in the target management workshop, performs feature matching in the real-time monitoring data based on the current feature data, determines the last matching position and the last matching time of the current responsible person, and then records the duration of the match disappearance according to the last matching time. Then, according to the duration of the match disappearance, the matching positioning diffusion radius is matched, and the last matching position is used as the origin to spread the positioning diffusion radius outward to determine the current positioning area of ​​the current responsible person.

[0120] Specifically, Figure 7 It shows a structural block diagram of the feature location analysis module 104 in the system provided by an embodiment of the present invention.

[0121] Among them, in the preferred embodiment provided by the present invention, the feature positioning analysis module 104 specifically includes:

[0122] The monitoring data acquisition unit 1041 is used to acquire real-time monitoring data.

[0123] The feature matching unit 1042 is used to perform feature matching in the real-time monitoring data based on the current feature data, and determine the last matching position and the last matching time.

[0124] The duration recording unit 1043 is used to record the duration of the match disappearance according to the last match time.

[0125] The radius matching unit 1044 is used to match the positioning diffusion radius according to the matching disappearance duration.

[0126] The area determination unit 1045 is used to determine the current positioning area of ​​the current responsible person according to the last matching position and the positioning diffusion radius.

[0127] Furthermore, the intelligent workshop management system based on the Internet of Things also includes:

[0128] The auxiliary notification processing module 105 is used to match multiple auxiliary notification devices according to the current positioning area based on the Internet of Things technology, generate auxiliary notification information, and perform auxiliary notification of abnormal processing through the multiple auxiliary notification devices.

[0129] In an embodiment of the present invention, the auxiliary notification processing module 105 matches multiple auxiliary notification devices in the current positioning area, regenerates auxiliary notification information and auxiliary notification instructions, sends the auxiliary notification information and auxiliary notification instructions to multiple auxiliary notification devices, and multiple auxiliary notification devices respond to the auxiliary notification instructions, voice broadcast the auxiliary notification information, and provide auxiliary notification of abnormal processing to the current responsible person.

[0130] Specifically, Figure 8 It shows a structural block diagram of the auxiliary notification processing module 105 in the system provided by an embodiment of the present invention.

[0131] In a preferred embodiment of the present invention, the auxiliary notification processing module 105 specifically includes:

[0132] The auxiliary matching unit 1051 is used to match multiple auxiliary notification devices according to the current positioning area.

[0133] The notification generating unit 1052 is used to generate auxiliary notification information and auxiliary notification instructions.

[0134] The notification sending unit 1053 is used to send the auxiliary notification information and the auxiliary notification instruction to the plurality of auxiliary notification devices.

[0135] The auxiliary notification unit 1054 is used to broadcast the auxiliary notification information through multiple auxiliary notification devices to provide auxiliary notification of abnormal processing to the current responsible person.

[0136] Furthermore, the intelligent workshop management system based on the Internet of Things also includes:

[0137] The exception processing record module 106 is used to perform monitoring adjustments according to the abnormal online position, perform exception processing records based on the current feature data, and extract and upload processing record data.

[0138] In an embodiment of the present invention, the exception processing record module 106 plans the horizontal adjustment angle according to the abnormal online position, and plans the vertical adjustment angle according to the abnormal online position, and then performs monitoring adjustment according to the horizontal adjustment angle and the vertical adjustment angle, so that the monitoring camera close to the abnormal online position can perform directional shooting of the abnormal online position to obtain directional monitoring data, and then perform monitoring records of exception processing based on the current feature data, and extract the processing record data of the current responsible personnel performing exception processing on the abnormal tooling equipment from the directional monitoring data, and then upload and store the processing record data according to the preset cloud storage location.

[0139] Specifically, Fig. 9 It shows a structural block diagram of the exception handling recording module 106 in the system provided by an embodiment of the present invention.

[0140] Among them, in the preferred embodiment provided by the present invention, the exception handling recording module 106 specifically includes:

[0141] The monitoring adjustment unit 1061 is used to perform monitoring adjustment according to the abnormal online position.

[0142] Specifically, Fig.10 It shows a structural block diagram of the monitoring and adjusting unit 1061 in the system provided by an embodiment of the present invention.

[0143] Among them, in the preferred implementation manner provided by the present invention, the monitoring adjustment unit 1061 specifically includes:

[0144] The horizontal adjustment planning subunit 10611 is used to plan the horizontal adjustment angle according to the abnormal online position.

[0145] The vertical adjustment planning subunit 10612 is used to plan the vertical adjustment angle according to the abnormal online position.

[0146] The monitoring adjustment subunit 10613 is used to perform monitoring adjustment according to the horizontal adjustment angle and the vertical adjustment angle.

[0147] Furthermore, the exception handling recording module 106 also includes:

[0148] The directional monitoring unit 1062 is used to monitor and photograph the abnormal online position to obtain directional monitoring data.

[0149] The processing and extracting unit 1063 is used to perform exception processing records based on the current feature data and extract processing record data.

[0150] The data uploading unit 1064 is used to upload the processing record data according to a preset cloud storage location.

[0151] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0152] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0153] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent workshop management system based on the Internet of Things, characterized in that: The system includes a tooling equipment monitoring module, a state abnormality analysis module, an order responsibility analysis module, a feature location analysis module, an auxiliary notification processing module and an abnormality processing recording module, wherein: The tooling equipment monitoring module is used to determine the target management workshop, monitor multiple online tooling equipment in the target management workshop based on the Internet of Things technology, and obtain multiple online monitoring data; A state abnormality analysis module, used to perform state analysis on the plurality of online monitoring data, select abnormal tooling equipment from the plurality of online tooling equipment, and obtain the abnormal online position; An order responsibility analysis module is used to perform order responsibility analysis on the abnormal tooling equipment, match the current responsible person, obtain attendance shooting data, and extract the current feature data of the current responsible person; A feature location analysis module is used to obtain real-time monitoring data, perform feature location analysis based on the current feature data, and obtain the current location area of ​​the current responsible person; An auxiliary notification processing module, which is used to match multiple auxiliary notification devices according to the current positioning area based on the Internet of Things technology, generate auxiliary notification information, and perform auxiliary notification of abnormal processing through the multiple auxiliary notification devices; The exception processing record module is used to perform monitoring adjustments according to the abnormal online position, perform exception processing records based on the current feature data, and extract and upload processing record data.

2. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The tooling equipment monitoring module specifically includes: Target determination unit, used to determine the target management workshop; A planning acquisition unit, used to acquire the production planning information of the target management workshop; An information analysis unit, used to analyze the production planning information and determine a plurality of online tooling equipment; The online monitoring unit is used to monitor the plurality of online tooling equipment based on the Internet of Things technology and obtain a plurality of online monitoring data.

3. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The abnormal state analysis module specifically includes: A standard matching unit, used for matching the online standard data corresponding to the plurality of online tooling devices; An abnormality analysis unit, used for comparing and analyzing the plurality of online monitoring data based on the plurality of online standard data, and selecting abnormal tooling equipment from the plurality of online tooling equipment; A basic acquisition unit, used to acquire basic equipment information of the abnormal tooling equipment; The position extraction unit is used to analyze the basic equipment information and extract the abnormal online position of the abnormal tooling equipment.

4. The intelligent workshop management system based on the Internet of Things according to claim 3 is characterized in that: The abnormality analysis unit specifically includes: A data comparison subunit, configured to compare the plurality of online monitoring data based on the plurality of online standard data to generate a plurality of data comparison results; An abnormality judgment subunit, used for judging whether there is data abnormality according to the plurality of data comparison results; A data selection subunit, used for selecting online abnormal data from a plurality of online monitoring data when there is data abnormality; The tooling equipment selection subunit is used to select a corresponding abnormal tooling equipment from a plurality of online tooling equipment according to the online abnormal data.

5. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The order responsibility analysis module specifically includes: A responsibility analysis unit, used to obtain multiple relevant responsible persons of the abnormal tooling equipment; An order arrangement unit, used to arrange the plurality of relevant responsible persons in order according to a preset responsibility order standard, and record order responsibility information; An attendance data acquisition unit, used for acquiring attendance record data; An order matching unit, used for matching a current responsible person from a plurality of related responsible persons according to the attendance record data and the order responsibility information; The feature extraction unit is used to obtain the attendance shooting data based on the attendance record data and extract the current feature data of the current responsible person.

6. The intelligent workshop management system based on the Internet of Things according to claim 5 is characterized in that: The feature extraction unit specifically includes: A time determination subunit, used to determine the attendance shooting time of the current responsible person based on the attendance record data; A data acquisition subunit, used to acquire attendance shooting data according to the attendance shooting time; The rough feature analysis subunit is used to perform rough feature analysis on the attendance shooting data and extract the current feature data of the current responsible person.

7. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The feature positioning analysis module specifically includes: A monitoring data acquisition unit, used to acquire real-time monitoring data; A feature matching unit, configured to perform feature matching in the real-time monitoring data based on the current feature data, and determine a final matching position and a final matching time; A duration recording unit, used to record the duration of the match disappearance according to the last match time; A radius matching unit, used for matching the positioning diffusion radius according to the matching disappearance duration; The area determination unit is used to determine the current positioning area of ​​the current responsible person according to the last matching position and the positioning diffusion radius.

8. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The auxiliary notification processing module specifically includes: an auxiliary matching unit, configured to match a plurality of auxiliary notification devices according to the current positioning area; A notification generating unit, used for generating auxiliary notification information and auxiliary notification instructions; a notification sending unit, configured to send the auxiliary notification information and the auxiliary notification instruction to a plurality of the auxiliary notification devices; The auxiliary notification unit is used to broadcast the auxiliary notification information through multiple auxiliary notification devices to provide auxiliary notification of abnormal processing to the current responsible person.

9. The intelligent workshop management system based on the Internet of Things according to claim 1 is characterized in that: The exception handling record module specifically includes: A monitoring and adjustment unit, used for performing monitoring and adjustment according to the abnormal online position; A directional monitoring unit, used to monitor and photograph the abnormal online position to obtain directional monitoring data; A processing and extracting unit, used for performing abnormal processing records and extracting processing record data based on the current feature data; The data uploading unit is used to upload the processing record data according to a preset cloud storage location.

10. The intelligent workshop management system based on the Internet of Things according to claim 9 is characterized in that: The monitoring and adjustment unit specifically includes: A horizontal adjustment planning subunit, used for planning a horizontal adjustment angle according to the abnormal online position; A vertical adjustment planning subunit, used for planning a vertical adjustment angle according to the abnormal online position; The monitoring adjustment subunit is used to perform monitoring adjustment according to the horizontal adjustment angle and the vertical adjustment angle.

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