CN115546902B - Safety production management method and system based on industrial internet full-connection management - Google Patents
Safety production management method and system based on industrial internet full-connection management Download PDFInfo
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- CN115546902B CN115546902B CN202211515770.0A CN202211515770A CN115546902B CN 115546902 B CN115546902 B CN 115546902B CN 202211515770 A CN202211515770 A CN 202211515770A CN 115546902 B CN115546902 B CN 115546902B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
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Abstract
The invention provides a safety production management method and a safety production management system based on industrial internet full-connection management, which relate to the technical field of data processing, and are characterized in that a multi-level early warning interval division result is obtained based on production area equipment information, additional early warning features are matched according to equipment image information, and an interval early warning level is obtained according to a user image acquisition result and the multi-level early warning interval division result and is matched to obtain an early warning feature set; and identifying and matching the action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristic to obtain an identification matching result and generate action early warning information to carry out production management in a production area. The technical problem that in the prior art, equipment production safety management depends on safety education and supervision and inspection of managers, so that dangerous conditions of equipment and workers in a production area are difficult to detect in time is solved. The technical effects of carrying out real-time dynamic monitoring and early warning on equipment abnormity and worker risk behaviors in a production area and improving production safety are achieved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a safety production management method and system based on industrial internet full-connection management.
Background
Along with the industrial development, the operation speed of production equipment is constantly accelerated, and the occurrence rate of production safety accidents is increased, so that how to ensure the work safety of workshop staff during the operation of the equipment becomes the problem to be solved by current production safety knocking.
The conventional method is to install image acquisition equipment in a production area, monitor the behavior of workers in a monitoring room based on safety management personnel, and simultaneously perform safety education before the workers enter the production area to work so as to reduce the occurrence rate of production accidents in a double-management mode.
In the prior art, the production safety management of equipment depends on safety education and production area supervision and inspection by managers, so that the dangerous conditions of the equipment and workers in the production area are difficult to detect in time, and the technical problem of production operation safety risk exists.
Disclosure of Invention
The application provides a safety production management method and system based on industrial internet full-connection management, which are used for solving the technical problems that in the prior art, equipment production safety management depends on safety education and management personnel to carry out production area supervision and inspection, so that dangerous conditions of equipment and production area workers are difficult to detect in time and production operation safety risks exist.
In view of the above problems, the present application provides a method and a system for managing secure production based on industrial internet full connection management.
In a first aspect of the present application, a method for managing secure production based on industrial internet full connection management is provided, the method comprising: acquiring regional equipment information of a production region, wherein the regional equipment information comprises equipment layout information and equipment operation mode information; analyzing the information of the regional equipment to obtain a multi-level early warning interval division result of the production region; acquiring a regional image of the production region through the image acquisition device to obtain equipment image information, and matching additional early warning features according to the equipment image information; acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result; acquiring an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result, and matching an early warning feature set according to the interval early warning grade; identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, and generating action early warning information according to an identification matching result; and carrying out safety production management of the production area according to the action early warning information.
In a second aspect of the present application, there is provided a secure production management system based on industrial internet full connection management, the system including: the equipment information acquisition module is used for acquiring and obtaining regional equipment information of a production region, wherein the regional equipment information comprises equipment layout information and equipment operation mode information; the equipment information analysis module is used for carrying out information analysis on the regional equipment information to obtain a multi-level early warning interval division result of the production region; the equipment image acquisition module is used for acquiring the regional image of the production region through an image acquisition device to obtain equipment image information and matching additional early warning characteristics according to the equipment image information; the user image acquisition module is used for acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result; the early warning grade division module is used for obtaining an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result and matching an early warning characteristic set according to the interval early warning grade; the characteristic identification matching module is used for identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics and generating action early warning information according to an identification matching result; and the production management execution module is used for carrying out safety production management of the production area according to the action early warning information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, regional equipment information of a production region is acquired and analyzed, and a multi-level early warning interval division result of the production region is acquired to provide a matching reference for subsequent user interval level feature matching; acquiring the regional image of the production region through the image acquisition device to obtain equipment image information, and matching additional early warning features according to the equipment image information, wherein the additional early warning features further improve the safety of the operation behaviors of the user equipment; acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result; acquiring an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result, matching an early warning characteristic set according to the interval early warning grade, wherein the early warning characteristic set provides a characteristic comparison standard for judging whether the user has risk action behaviors; identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, and generating action early warning information according to an identification and matching result; and carrying out safety production management of the production area according to the action early warning information. The technical effects that the equipment abnormity and the risk behaviors of workers in the production area can be dynamically monitored and early warned in real time and the production safety is greatly improved are achieved.
Drawings
Fig. 1 is a schematic flow chart of a safety production management method based on industrial internet full connection management provided by the present application;
fig. 2 is a schematic flowchart of a temporary attention window generated in the safety production management method based on industrial internet full connection management provided by the present application;
fig. 3 is a schematic flowchart of the process of generating the action warning information in the safety production management method based on the industrial internet full connection management provided by the present application;
fig. 4 is a schematic structural diagram of a safety production management system based on industrial internet full connection management provided by the present application.
Description of reference numerals: the system comprises an equipment information acquisition module 11, an equipment information analysis module 12, an equipment image acquisition module 13, a user image acquisition module 14, an early warning grade division module 15, a characteristic identification matching module 16 and a production management execution module 17.
Detailed Description
The application provides a safety production management method and system based on industrial internet full-connection management, which are used for solving the technical problems that in the prior art, equipment production safety management depends on safety education and production area supervision and patrol of managers, so that dangerous conditions of equipment and production area workers are difficult to perceive in time and production operation safety risks exist. The technical effects that the equipment abnormity and the risk behaviors of workers in the production area can be dynamically monitored and early warned in real time and the production safety is greatly improved are achieved.
In the technical scheme of the invention, the data acquisition, storage, use, processing and the like all conform to relevant regulations of national laws and regulations.
In the following, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention. It should be further noted that, for the convenience of description, only some but not all of the elements associated with the present invention are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a secure production management method based on industrial internet full connection management, the method is applied to a secure production management system, the secure production management system is in communication connection with an image acquisition device, and the method includes:
s100, acquiring regional equipment information of a production region, wherein the regional equipment information comprises equipment layout information and equipment operation mode information;
specifically, the production area is a working space which is provided with a plurality of production devices, and the working parameters of the production devices are adjusted manually by workers or based on a computer program so as to modify the operation mode of the devices to produce and process products.
In this embodiment, the layout drawing of the equipment in the production area is based on, or the image acquisition device is based on, directly acquiring the image of the production area to acquire the layout space position information of the equipment in the production area, so as to acquire the layout information of the equipment. The operation mode information of the equipment is obtained based on the purchase history of the equipment of a manufacturer, and the voltage and current of the input equipment and the operation intensity information of the equipment in different operation modes can be obtained based on the operation mode information of the equipment. The device layout information and the device operation mode information constitute the regional device information.
S200, analyzing the information of the regional equipment to obtain a multi-level early warning interval division result of the production region;
specifically, in this embodiment, the multi-level early warning interval is a plurality of concentric circles with different radii, and the smaller the radius, the higher the early warning level of the early warning interval corresponding to the concentric circle.
It should be understood that the size of the concentric circle radius, i.e., the area of the multi-level warning interval, is associated with the device operating mode. The output voltage and current and the equipment operation intensity corresponding to different operation modes of the equipment are different, correspondingly, the killing intensity of the equipment to different peripheral distances is different when an operation accident occurs, and the influence degree of the behavior of workers with different distances from the equipment in the operation process on the operation accident of the equipment has difference.
Therefore, in this embodiment, device layout information and device operation mode information are obtained based on regional device information, primary multi-level early warning intervals are set according to device input current and voltage and operation intensity information in different operation modes in combination with experience of safety management personnel in a production region, a plurality of primary multi-level early warning interval sets corresponding to a plurality of operation modes of a device are obtained, the plurality of primary multi-level early warning intervals are optimized in combination with the device layout information of the device in the production region, a plurality of multi-level early warning interval sets used for production safety management in an actual production process are obtained, and multi-level early warning interval division results of the production region are obtained.
The multi-level early warning interval division results of the production area are used for defining the behaviors of the workers in a grading manner, the higher the early warning level is, the smaller the corresponding radius of the early warning interval is, the closer the distance between the early warning interval and the equipment is, and the more the corresponding behavior of the workers is limited and the stricter the distance between the early warning interval and the equipment is. In this embodiment, in different device operation modes, the ranges of the multi-level early warning intervals are different, and the requirement for behavior compliance of the worker in each level of the multi-level early warning interval is different.
S300, acquiring the regional image of the production region through the image acquisition device to obtain equipment image information, and matching additional early warning features according to the equipment image information;
specifically, it should be understood that the equipment mostly has the adjusting part that can manually carry out equipment such as filler storehouse and construct the switching, and in equipment operation process, the staff can be close to filler storehouse glass door and observe the production state of filler in equipment, but observe the prerequisite and be in the closed condition with the bin door of filler storehouse, otherwise have the risk that the production raw materials part splashes and causes injury staff in the feed storehouse.
Therefore, in the embodiment, additional feature recognition is performed on equipment parts with a manual switch function, such as a filler bin gate, so as to avoid that when the equipment is not in a completely closed state, the behavior of a worker approaching the equipment is not recognized and early-warned by the safety production management system due to the fact that the production management early-warning requirement is met, and therefore the worker is injured. In this embodiment, the image acquisition device acquires an area image of the production area to obtain device image information, the additional feature is matched according to the device image information, and if the device image information includes a device manual opening and closing device consistent with the additional feature, the security management system generates an additional early warning feature. The embodiment does not limit the method for obtaining the additional early warning feature, and the existing image recognition technology can be adopted to perform feature recognition of the opening and closing state of the manual opening and closing device of the equipment.
The additional early warning feature effectively improves the safety of workers when the workers approach the equipment to observe the running state of the equipment.
S400, acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result;
s500, obtaining an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result, and matching an early warning feature set according to the interval early warning grade;
specifically, in this embodiment, in different operation modes of the device, ranges of the multi-level early warning intervals are different, and requirements of each level of the multi-level early warning interval on behavior compliance of the worker are different, and this embodiment explains the technical scheme by taking an example that the device in the production area is in a certain operation mode.
In this embodiment, an image acquisition device is used to acquire a user image of the target user, and based on the user image acquisition result, user action behavior information and spatial orientation information of the user in the production area can be obtained.
Traversing the multi-level early warning interval division result according to the space range information of the user in the production area, which is obtained based on the user image acquisition result, to obtain the interval early warning level of the space direction of the target user, obtaining the behavior compliance requirement of the level early warning interval on the working personnel based on the interval early warning level, obtaining the early warning feature set for the behavior constraint of the working personnel based on the behavior compliance early warning requirement, and providing a comparison reference for the follow-up user action early warning.
S600, identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, and generating action early warning information according to an identification and matching result;
and S700, carrying out safety production management on the production area according to the action early warning information.
Specifically, in the present embodiment, the user action behavior information reflecting the action behavior of the user in the production area is obtained based on the user image acquisition result. And identifying and matching the user action characteristics of the user image acquisition result by using the early warning characteristic set and the additional early warning characteristics, judging whether the target user has action behaviors which do not accord with the requirements of the early warning characteristic set or the additional early warning characteristics, and generating an identification matching result.
And the safety management system generates action early warning information according to the identification matching result, carries out action early warning corresponding to the target user, and reminds the target user to change action or leave the current production area so as to reduce the influence of the target user on equipment operation and the influence of the equipment operation on life safety and health of the target user and realize safety production management on the production area.
Further, the safety production management system is in communication connection with the equipment data interaction device, and the method provided by the application further comprises the following steps:
s810, acquiring regional equipment operation information of the production region through the equipment data interaction device to obtain equipment operation data;
s820, obtaining equipment operation mode information of the production area, and performing historical operation data matching of the current mode according to the equipment operation mode information to obtain a historical operation data matching result;
and S830, performing operation evaluation on the equipment operation data according to the historical operation data matching result, generating equipment abnormity early warning information according to the operation evaluation result, and performing safety production management on the production area according to the equipment abnormity early warning information.
Further, the method provided by the present application further includes:
s831, evaluating the abnormal influence based on the equipment abnormal early warning information, and generating early warning interval grade adjustment information according to the abnormal influence evaluation result;
s832, adjusting the interval early warning level according to the early warning interval level adjusting information to obtain an interval early warning level adjusting result;
and S833, carrying out matching sensitivity correction on the early warning feature set based on the interval early warning level adjustment result, and carrying out user action feature identification matching on the user image acquisition result through correcting the early warning feature set with matching sensitivity.
Specifically, in this embodiment, the safety production management of the production area is realized by identifying the abnormal action and behavior of the worker, and the production safety management of the production area is completed by synchronously performing the early warning management of the operation condition of the equipment.
Specifically, in this embodiment, a data interaction device is arranged for each device in the production area, and the data interaction device is connected to each device in the production area and is used for acquiring information of devices including, but not limited to, an operation mode, an output current, a voltage, a power, a temperature, and noise intensity. And acquiring the regional equipment operation information of the production region through the equipment data interaction device to obtain equipment operation data.
Obtaining historical operation data of equipment, wherein the historical operation data is equipment operation data information of the equipment in the production area under various operation modes, obtaining equipment operation mode information of the production area, performing historical operation data matching of a current mode according to the equipment operation mode information, and obtaining a historical operation data matching result, and the historical operation data matching result is operation data of the equipment in the production area under a normal operation state under the current mode.
And comparing each item of operation data in the historical operation data matching result with each item of operation data of the equipment operation data in a one-to-one correspondence manner to evaluate the operation of the equipment in the production area, and generating equipment abnormity early warning information according to the operation evaluation result, wherein the equipment abnormity early warning information comprises but is not limited to output power abnormity early warning, temperature abnormity early warning and noise abnormity early warning information.
An abnormity early warning evaluation database is built, a plurality of historical equipment abnormity early warning information is acquired and obtained, and an abnormity influence evaluation result which reflects the degree of influence of equipment operation abnormity on the safety of the surrounding environment and corresponds to the plurality of historical equipment abnormity early warning information and the early warning interval grade adjustment information used for adjusting the early warning interval space range are obtained based on an expert evaluation method or the equipment abnormity processing experience of workers in a production area, so that the abnormity early warning evaluation database is filled with data.
And generating a retrieval instruction based on the equipment abnormity early warning information, traversing the abnormity early warning evaluation database to obtain historical equipment abnormity early warning information consistent with the equipment abnormity early warning information, taking an abnormity influence evaluation result corresponding to the historical equipment abnormity early warning information as abnormity influence evaluation of the equipment abnormity early warning information, and generating early warning interval grade adjustment information of the equipment abnormity early warning information according to early warning interval grade adjustment information corresponding to the abnormity influence evaluation result.
And adjusting the interval early warning level according to the early warning interval level adjustment information to obtain an interval early warning level adjustment result, wherein generally speaking, when the equipment has abnormal early warning, the early warning interval level adjustment information generally performs level up-adjustment of an early warning interval and enlarges the range of the early warning interval, and the action and the behavior of a target user are more strictly limited, namely the action and the behavior characteristics of the user in an early warning characteristic set matched with the interval early warning level are more strictly limited.
And correcting the matching sensitivity of the early warning feature set based on the interval early warning level adjustment result, increasing the recognition sensitivity of a user image acquisition result to more finely recognize the action behavior of the target user, and recognizing and matching the user action feature of the user image acquisition result through the early warning feature set with the corrected matching sensitivity.
According to the method and the system, the abnormal identification of the running state of the equipment is carried out by acquiring the running data of the equipment in the production area, so that the interval early warning grade is correspondingly improved, the fineness and the sensitivity of the system for identifying the action behaviors of the user are identified, the interval early warning grade is dynamically adjusted based on the running state of the equipment, the current dangerous state identification of the user can be accurately carried out based on the user image acquisition result, and the technical effect of improving the production safety in the running process of the equipment is achieved.
Further, as shown in fig. 2, the method provided by the present application further includes:
s610, obtaining historical performance data of a user, and constructing a user evaluation data set according to the historical performance data;
s620, generating an initial attention of the user based on the user evaluation data set;
s630, acquiring and identifying images of the user according to the initial attention degree to obtain the action early warning information;
s640, judging whether the action early warning information and the initial attention contrast value meet a preset contrast threshold value;
s650, when the contrast value can not meet the preset contrast threshold value, generating a temporary attention window according to the contrast value;
and S660, performing continuous attention collection of the early warning user through the temporary attention window.
Further, the method provided by the present application further includes:
s661, obtaining continuous collection data of the temporary attention window;
s662, performing state evaluation on the early warning user based on the continuous acquisition data to obtain a state evaluation result;
and S663, generating user early warning information of the early warning user based on the state evaluation result, and performing safety production management through the user early warning information.
Specifically, it should be understood that different workers have different working habits, and the frequency of working errors occurring in the daily production working process has relatively stable difference, so in order to reduce the probability of risk of the error behavior of the workers on the equipment operation in the production area, in this embodiment, historical performance data of the users is obtained, historical error action data of the users is extracted and obtained based on the historical performance data, user evaluation data is obtained according to the proportion of the historical error action data in the historical performance data, and the user evaluation data of a plurality of users working in the production area is obtained in the same manner to construct the user evaluation data set.
The lower the proportion of the historical error action data of the user in the historical performance data is, the lower the frequency of the working errors of the user in the daily work of the production area is, and the corresponding user evaluation data is lower. It should be understood that, the lower the user evaluation data is, the lower the working error frequency of the user is, and if a working error occurs, the higher the possibility that the current working psychophysiological state of the user is doubtful is, and the higher the possibility that the user or equipment operates and controls dangerous events caused by continuing working in the production area is.
The initial attention degrees of the multiple users are correspondingly generated based on the user evaluation data of the multiple users in the user evaluation data set, in this embodiment, the user evaluation data is in direct proportion to the initial attention degrees of the users, and the lower the user evaluation data is, the lower the corresponding initial attention degrees of the users are.
And identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, generating action early warning information according to an identification and matching result, further identifying the user image to obtain initial attention information corresponding to the user, and acquiring an initial attention contrast value reflecting the contrast degree of the action early warning information of the historical working error frequency and the current error action of the user based on the initial attention corresponding to the user.
And presetting a contrast threshold, wherein the contrast threshold is used for evaluating whether the user has physiological or psychological problems currently, if the action early warning information and the initial attention contrast value are within the range of the contrast threshold, the working error frequency of the user in a production area belongs to the working normality of the user, otherwise, the current user may have physiological or psychological problems.
Judging whether the action early warning information and the initial attention contrast value meet a preset contrast threshold value or not, when the contrast value cannot meet the preset contrast threshold value, generating a temporary attention window according to the contrast value, wherein the temporary window is an image acquisition window for tracking image acquisition of a user based on an image acquisition device, the image acquisition frequency of the user and the existence time of the temporary window by the temporary window depend on the contrast value, and the larger the contrast value deviates from the preset contrast threshold value, the larger the difference between the working error condition and the normal state of the current user is, the higher the time span and the acquisition frequency of the image acquisition of the temporary window are, so as to ensure that the current working error of the user can be accurately analyzed and determined to be caused by the working error or physiological and psychological changes of the user.
The method comprises the steps of performing continuous attention collection on an early warning user through a temporary attention window to obtain continuous collection data of the temporary attention window, recognizing and matching user action characteristics of a user image collection result obtained based on the continuous collection data through an early warning characteristic set and an additional early warning characteristic based on the continuous collection data, generating action early warning information according to a recognition matching result, performing state evaluation on the early warning user according to the proportion of the action early warning information in the continuous collection data to obtain a state evaluation result, wherein the state evaluation result comprises that the current working error of the user is a working error and the working error is a psychophysiological abnormality, generating user early warning information of the early warning user based on the state evaluation result, and performing safety production management through the user early warning information.
According to the embodiment, the user work normality evaluation is carried out by acquiring the user historical data, and the evaluation on whether the reason of the current work error of the user belongs to physiological and psychological abnormity or work error or work normality is carried out, so that the error reason analysis of the current work error of the user is carried out based on the historical work normality of the user, the technical effects of avoiding the production safety accident caused by the physiological and psychological abnormity of the user and improving the generation safety of a production area are achieved.
Further, as shown in fig. 3, the method provided by the present application further includes:
s410, identifying user information of the user image acquisition result to obtain authority information of the user;
s420, performing characteristic identification of the early warning characteristic set through the authority information to obtain a characteristic identification result;
and S430, generating the action early warning information according to the recognition matching result and the feature identification result.
Further, the method provided by the present application further includes:
s431, carrying out user early warning statistics through the action early warning information to obtain a user early warning statistical result;
s432, acquiring early warning frequency information and early warning grade information according to the early warning statistical result of the user;
s433, acquiring a user early warning value according to the early warning frequency information and the early warning level information;
and S434, generating a user state abnormity early warning result through the user early warning value, and carrying out safety production management through the user state abnormity early warning result.
Specifically, in this embodiment, the staff performing the equipment control in the production area includes an operation employee and an equipment maintenance manager, the authority of the user who operates the identity of the operation employee is to operate the equipment, adjust the equipment parameters, and perform the equipment production raw material filling, and the authority of the equipment maintenance manager is to detach the equipment and enter the inside of the equipment for the maintenance treatment. If the behavior early warning feature set and the behavior additional early warning feature are determined based on the operation common worker action standard, the behavior early warning feature set and the behavior additional early warning feature are used for identifying and matching the user action features of the user image acquisition result, and the action early warning information is generated according to the identification and matching result, the user image acquisition result of equipment maintenance management personnel is identified as action early warning, and the user behavior early warning identification accuracy of the safety production management system is reduced.
Therefore, in this embodiment, the user image acquisition result is subjected to user information identification to obtain the authority information of the user, where the user authority information includes authority information of general workers and authority information of equipment maintenance managers.
And performing characteristic identification on the early warning characteristic set through the authority information to obtain a characteristic identification result, and dividing the early warning characteristic set into an operation general worker early warning characteristic set and an equipment maintenance manager early warning characteristic set.
And identifying the user identity based on the image acquisition result, calling a corresponding early warning feature set, identifying and matching the user action features of the user image acquisition result, and generating the action early warning information according to the identification matching result and the feature identification result.
And performing user early warning statistics through the action early warning information to obtain a user early warning statistical result reflecting the occurrence frequency and the risk degree of the user in a certain safety monitoring time period, and obtaining early warning frequency information and early warning grade information according to the user early warning statistical result, wherein the early warning grade information reflects the risk degree of the user action.
And adding and processing according to the early warning frequency information and the early warning level information to obtain a user early warning value, generating a user state abnormity early warning result according to the user early warning value, and performing safety production management according to the user state abnormity early warning result, wherein the safety production management comprises one or more of user safety standard education, user violation fine and behavior correction.
According to the method and the device, the early warning feature sets are respectively generated according to different operation authorities of various workers in the production area, and the user action features of the user image acquisition results are identified and matched, so that the accuracy of action early warning information generation is improved, the accuracy of the safety production management system for carrying out user action violation early warning is improved, and the technical effect of production safety of the production area is improved.
Example two
Based on the same inventive concept as the method for managing secure production based on industrial internet full connection management in the foregoing embodiment, as shown in fig. 4, the present application provides a system for managing secure production based on industrial internet full connection management, wherein the system includes:
the equipment information acquisition module 11 is configured to acquire and obtain regional equipment information of a production region, where the regional equipment information includes equipment layout information and equipment operation mode information;
the equipment information analysis module 12 is configured to perform information analysis on the regional equipment information to obtain a multi-level early warning interval division result of the production region;
the equipment image acquisition module 13 is used for acquiring the regional image of the production region through an image acquisition device to obtain equipment image information, and matching additional early warning features according to the equipment image information;
the user image acquisition module 14 is used for acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result;
the early warning grade division module 15 is used for obtaining an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result, and matching an early warning feature set according to the interval early warning grade;
the characteristic identification matching module 16 is used for identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, and generating action early warning information according to an identification matching result;
and the production management execution module 17 is configured to perform safety production management of the production area according to the action early warning information.
Further, the system further comprises:
the operation data acquisition unit is used for acquiring regional equipment operation information of the production region through the equipment data interaction device to obtain equipment operation data;
the data matching execution unit is used for obtaining equipment operation mode information of the production area, and performing historical operation data matching of the current mode according to the equipment operation mode information to obtain a historical operation data matching result;
and the operation data evaluation unit is used for performing operation evaluation on the equipment operation data according to the historical operation data matching result, generating equipment abnormity early warning information according to the operation evaluation result, and performing safety production management of the production area according to the equipment abnormity early warning information.
Further, the operation data evaluation unit further includes:
the adjustment information generation unit is used for carrying out abnormal influence evaluation on the basis of the equipment abnormal early warning information and generating early warning interval grade adjustment information according to an abnormal influence evaluation result;
the early warning grade adjusting unit is used for adjusting the interval early warning grade according to the early warning interval grade adjusting information to obtain an interval early warning grade adjusting result;
and the characteristic identification matching unit is used for correcting the matching sensitivity of the early warning characteristic set based on the interval early warning grade adjustment result and identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set with the corrected matching sensitivity.
Further, the feature identification matching module 16 further includes:
the evaluation data obtaining unit is used for obtaining historical performance data of the user and constructing a user evaluation data set according to the historical performance data;
an initial attention obtaining unit, configured to generate an initial attention of the user based on the user evaluation data set;
the action early warning obtaining unit is used for carrying out image acquisition and identification on the user according to the initial attention degree to obtain the action early warning information;
a contrast value comparison unit for judging whether the action early warning information and the initial attention contrast value meet a preset contrast threshold value;
the temporary window construction unit is used for generating a temporary attention window according to the contrast value when the contrast value cannot meet the preset contrast threshold value;
and the attention acquisition execution unit is used for carrying out continuous attention acquisition on the early warning user through the temporary attention window.
Further, the focus acquisition execution unit further includes:
the acquisition data acquisition unit is used for acquiring continuous acquisition data of the temporary attention window;
the state evaluation execution unit is used for carrying out state evaluation on the early warning user based on the continuous acquisition data to obtain a state evaluation result;
and the early warning information obtaining unit is used for generating user early warning information of the early warning user based on the state evaluation result and carrying out safety production management through the user early warning information.
Further, the user image capturing module 14 further includes:
the user authority identification unit is used for identifying user information of the user image acquisition result to obtain the authority information of the user;
the characteristic identification execution unit is used for carrying out characteristic identification on the early warning characteristic set through the authority information to obtain a characteristic identification result;
and the action early warning generation unit is used for generating the action early warning information according to the identification matching result and the characteristic identification result.
Further, the action early warning generating unit further includes:
the user early warning statistical unit is used for carrying out user early warning statistics through the action early warning information to obtain a user early warning statistical result;
the statistical result analysis unit is used for acquiring early warning frequency information and early warning grade information according to the user early warning statistical result;
the early warning value obtaining unit is used for obtaining a user early warning value according to the early warning frequency information and the early warning grade information;
and the production management execution unit is used for generating a user state abnormity early warning result according to the user early warning value and carrying out safe production management according to the user state abnormity early warning result.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memory that are recognized by various non-limiting types of computer processors to implement any of the methods or steps described above.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. The safety production management method based on industrial internet full-connection management is characterized by being applied to a safety production management system which is in communication connection with an image acquisition device, and comprising the following steps of:
acquiring regional equipment information of a production region, wherein the regional equipment information comprises equipment layout information and equipment operation mode information;
analyzing the information of the regional equipment to obtain a multi-level early warning interval division result of the production region;
acquiring a regional image of the production region through the image acquisition device to obtain equipment image information, and matching additional early warning features according to the equipment image information;
acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result;
acquiring an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result, and matching an early warning feature set according to the interval early warning grade;
identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics, and generating action early warning information according to an identification and matching result;
and carrying out safety production management of the production area according to the action early warning information.
2. The method of claim 1, wherein the secure production management system is communicatively coupled to a device data interaction apparatus, the method further comprising:
acquiring regional equipment operation information of the production region through the equipment data interaction device to obtain equipment operation data;
obtaining equipment operation mode information of the production area, and performing historical operation data matching of a current mode according to the equipment operation mode information to obtain a historical operation data matching result;
and performing operation evaluation on the equipment operation data according to the historical operation data matching result, generating equipment abnormity early warning information according to the operation evaluation result, and performing safety production management on the production area according to the equipment abnormity early warning information.
3. The method of claim 2, wherein the method further comprises:
performing abnormal influence evaluation based on the equipment abnormal early warning information, and generating early warning interval grade adjustment information according to an abnormal influence evaluation result;
adjusting the interval early warning level according to the early warning interval level adjusting information to obtain an interval early warning level adjusting result;
and correcting the matching sensitivity of the early warning feature set based on the interval early warning grade adjustment result, and identifying and matching the user action features of the user image acquisition result through the early warning feature set with the corrected matching sensitivity.
4. The method of claim 1, wherein the method further comprises:
obtaining historical performance data of a user, and constructing a user evaluation data set according to the historical performance data;
generating an initial attention of the user based on the user evaluation data set;
acquiring and identifying images of a user according to the initial attention degree to obtain the action early warning information;
judging whether the action early warning information and the initial attention contrast value meet a preset contrast threshold value or not;
when the contrast value cannot meet the preset contrast threshold value, generating a temporary attention window according to the contrast value;
and carrying out continuous attention collection of the early warning user through the temporary attention window.
5. The method of claim 4, wherein the method further comprises:
obtaining continuous acquisition data of the temporary attention window;
performing state evaluation on the early warning user based on the continuous acquisition data to obtain a state evaluation result;
and generating user early warning information of the early warning user based on the state evaluation result, and carrying out safety production management through the user early warning information.
6. The method of claim 1, wherein the method further comprises:
carrying out user information identification on the user image acquisition result to obtain authority information of a user;
performing characteristic identification on the early warning characteristic set through the authority information to obtain a characteristic identification result;
and generating the action early warning information according to the identification matching result and the characteristic identification result.
7. The method of claim 1, wherein the method further comprises:
performing user early warning statistics through the action early warning information to obtain a user early warning statistical result;
acquiring early warning frequency information and early warning grade information according to the early warning statistical result of the user;
acquiring a user early warning value according to the early warning frequency information and the early warning grade information;
and generating a user state abnormity early warning result according to the user early warning value, and carrying out safety production management according to the user state abnormity early warning result.
8. A safety production management system based on industrial internet full-connection management is characterized by comprising:
the equipment information acquisition module is used for acquiring and obtaining regional equipment information of a production region, wherein the regional equipment information comprises equipment layout information and equipment operation mode information;
the equipment information analysis module is used for carrying out information analysis on the regional equipment information to obtain a multi-level early warning interval division result of the production region;
the equipment image acquisition module is used for acquiring the regional image of the production region through an image acquisition device to obtain equipment image information and matching additional early warning characteristics according to the equipment image information;
the user image acquisition module is used for acquiring a user image of a target user through the image acquisition device to obtain a user image acquisition result;
the early warning grade division module is used for obtaining an interval early warning grade according to the user image acquisition result and the multi-grade early warning interval division result and matching an early warning feature set according to the interval early warning grade;
the characteristic identification matching module is used for identifying and matching the user action characteristics of the user image acquisition result through the early warning characteristic set and the additional early warning characteristics and generating action early warning information according to an identification matching result;
and the production management execution module is used for carrying out safe production management of the production area according to the action early warning information.
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