CN116843497B - Multi-dimensional intelligent plant monitoring system based on Internet of things technology - Google Patents
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Abstract
The invention relates to the technical field of plant monitoring, in particular to a multi-dimensional intelligent plant monitoring system based on the technology of the Internet of things, which comprises the following components: the system comprises a production stage monitoring module, a production yield monitoring module, a production management module, a quality monitoring module, an execution terminal and a database. The basic parameters of each production stage of each marked area corresponding to the current monitoring period in the factory are acquired, the stage evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, and meanwhile, the yield evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, so that the production management evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are comprehensively analyzed, timeliness and accuracy of production management monitoring and analysis in the factory are realized to the greatest extent, inaccurate data caused by manual statistical analysis is avoided, and the intellectualization, automation and high efficiency of the production process are realized.
Description
Technical Field
The invention relates to the technical field of plant monitoring, in particular to a multi-dimensional intelligent plant monitoring system based on the internet of things technology.
Background
The factory service refers to various transactions and works inside an enterprise or a factory, including production management, equipment maintenance, personnel management, security management, supply chain management and the like. To ensure that the production operation of enterprises or factories is carried out smoothly and reaches the expected aim, and in view of the above, the necessity of monitoring the factories is highlighted.
At present, the interior of a factory is monitored and managed, inspection and statistics are usually carried out manually, and due to the fact that certain subjectivity exists in manual statistics, a large amount of statistical data easily causes negligence of factory staff, and follow-up monitoring and management of the factory are not facilitated.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a multi-dimensional intelligent plant monitoring system based on the Internet of things technology, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme: multi-dimensional intelligent factory monitoring system based on internet of things technology includes:
the production stage monitoring module is used for acquiring the production area of the pipeline energy source in the factory, marking the production area of the pipeline energy source in the factory as a marking area, acquiring production stages corresponding to the marking areas in the factory, monitoring the production stages corresponding to the current monitoring time period in the marking areas in the factory to obtain basic parameters of the production stages corresponding to the current monitoring time period in the marking areas in the factory, and analyzing the stage evaluation coefficients corresponding to the current monitoring time period in the marking areas in the factory to obtain the stage evaluation coefficients corresponding to the current monitoring time period in the marking areas in the factory;
as a further improvement of the invention, each production stage of each marked area corresponding to the current monitoring period in the factory is monitored to obtain the basic parameters of each production stage of each marked area corresponding to the current monitoring period in the factory, and the specific monitoring mode is as follows:
acquiring videos of all the marking areas in the factory corresponding to all the production stages in the current monitoring period through a camera to obtain videos of all the marking areas in the factory corresponding to all the production stages in the current monitoring period;
analyzing the video of each production stage in the current monitoring period corresponding to each marking area in the factory to obtain images of each production stage in the current monitoring period corresponding to each monitoring time point in each marking area in the factory;
extracting the number of workers of each production stage in each monitoring time point corresponding to each marking area from the image of each production stage in each marking area corresponding to each monitoring time point in the current monitoring time point in the factory, and integrating the same number of workers of adjacent monitoring time points to obtain the number of workers of each time point, and obtaining the number of workers of each production stage in each marking area corresponding to each time point;
screening the number of workers in the longest period from the number of workers in each production stage in each period corresponding to each marking area, and taking the number of workers in each production stage in each marking area corresponding to the current monitoring period in the factory;
monitoring each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory through a camera to obtain images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory, matching the images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory with the set images of finished products of each production stage, if the images of a certain circulation product of a certain production stage are successfully matched with the set images of the finished products of the corresponding production stage, marking the circulation product as a qualified product, otherwise, marking the circulation product as a semi-finished product, and counting the quantity of qualified products and the quantity of semi-finished products of each production stage in the corresponding current monitoring period of each marking area in the factory;
monitoring the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory through the camera and the counter to obtain the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory;
the basic parameters of each production stage of each marking area in the factory corresponding to the current monitoring period are composed of the number of workers, the number of qualified products, the number of semi-finished products and the number of circulating products in each marking area in the factory corresponding to each production stage of the current monitoring period.
As a further improvement of the invention, the phase evaluation coefficients of the mark areas in the factory corresponding to the current monitoring period are analyzed to obtain the phase evaluation coefficients of the mark areas in the factory corresponding to the current monitoring period, and the specific analysis mode is as follows:
extracting each mark in the factory from the basic parameters of each production stage of each mark area in the factory corresponding to the current monitoring periodThe numbers of staff, qualified products, semi-finished products and circulating products in each production stage corresponding to the current monitoring period are recorded as GR i j 、HG i j 、BC i j 、LT i j I is the number of each marking area, i=1, 2,..n, j is the number of each production stage, j=1, 2,..m, n is the total number of marking area numbers, m is the total number of production stage numbers;
extracting the reference staff number corresponding to each production stage from each marking area in the factory from the database, normalizing the reference staff number and taking the value, and marking as GR ij 0 ；
According to the formulaCalculating a phase evaluation coefficient JD of each marked area corresponding to the current monitoring period in the factory i A1, a2, a3 are respectively indicated as set influencing factors.
The production yield monitoring module is used for acquiring the yield of each marked area in the factory corresponding to the current monitoring period to obtain the yield of each marked area in the factory corresponding to the current monitoring period, and analyzing the yield evaluation coefficient of each marked area in the factory corresponding to the current monitoring period to obtain the yield evaluation coefficient of each marked area in the factory corresponding to the current monitoring period;
as a further improvement of the invention, the yield evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed in the following specific analysis modes:
extracting estimated output of each marked area corresponding to the monitoring day in the factory from a database, acquiring an actual period of the current monitoring period, and matching the actual period of the current monitoring period with the estimated output influence value corresponding to each set actual period to obtain the estimated output influence value of the current monitoring period;
dividing the estimated output of each marked area corresponding to the monitoring day in the factory according to the number of the actual time periods in the actual monitoring day to obtain the estimated output of each marked area corresponding to the actual time period in the monitoring day in the factory;
the estimated output of each marking area in the factory area corresponding to each actual period in the monitoring day is differenced with the estimated output influence value of the current monitoring period, so that the estimated output of each marking area in the factory area corresponding to the current monitoring period is obtained;
extracting the estimated output value of each marked area corresponding to the current monitoring period in the factory, and marking the estimated output value as YC i Extracting the value of the yield of each marked area corresponding to the current monitoring period in the factory, and recording the value as DC i ；
According to formula CL i =DC i /YC i Calculating yield evaluation coefficients CL of each marked area corresponding to the current monitoring period in the factory i 。
The production management module is used for analyzing the production management evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period based on the phase evaluation coefficients and the yield evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period to obtain the production management evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period;
as a further improvement of the invention, the production management evaluation coefficients of all the mark areas in the factory corresponding to the current monitoring period are analyzed to obtain the production management evaluation coefficients of all the mark areas in the factory corresponding to the current monitoring period, and the specific analysis mode is as follows: according to formula SC i =JD i ×a4+CL i Calculating production management evaluation coefficients corresponding to the current monitoring period of each marked area in the factory by using the Xa 5, and calculating SC i The production management evaluation coefficients corresponding to the current monitoring period are represented as the ith marking area in the factory, and a4 and a5 are respectively represented as set coefficient factors.
The quality monitoring module is used for acquiring products corresponding to the current monitoring period in each marking area in the factory, detecting the product quality corresponding to the current monitoring period in each marking area in the factory, obtaining product quality parameters corresponding to the current monitoring period in each marking area in the factory, and analyzing product quality evaluation coefficients corresponding to each marking area in the factory to obtain product quality evaluation coefficients corresponding to each marking area in the factory;
as a further improvement of the invention, the product quality of each marked area in the factory corresponding to the current monitoring period is detected, and the product quality parameters of each marked area in the factory corresponding to the current monitoring period are obtained, and the specific detection mode is as follows:
acquiring apparent images of products corresponding to the current monitoring period in each marking area in the factory through a camera to obtain apparent images of products corresponding to the current monitoring period in each marking area in the factory;
extracting the number of broken positions and the number of broken positions from apparent images of products of each marked area corresponding to the current monitoring period in the factory, extracting the broken area of each broken position and the broken length of each broken position of each product of each marked area corresponding to the current monitoring period from the apparent images, integrating the broken area of each broken position of each marked area corresponding to each product of the current monitoring period to obtain the broken total area of each marked area corresponding to each product of the current monitoring period, and integrating the broken length of each marked area corresponding to each broken position of each product of the current monitoring period to obtain the broken total length of each marked area corresponding to each product of the current monitoring period;
the number of broken positions, the total broken area and the total broken length of each product corresponding to the current monitoring period in each marking area in the factory are obtained, and the product quality parameters corresponding to the current monitoring period in each marking area in the factory are formed.
As a further improvement of the invention, the product quality evaluation coefficients corresponding to each marking area in the factory are analyzed to obtain the product quality evaluation coefficients corresponding to each marking area in the factory, and the specific analysis mode is as follows:
extracting the number of broken parts, the total broken area and the total broken length of each product of each marked area corresponding to the current monitoring period in the factory from the product quality parameters of each marked area corresponding to the current monitoring period in the factory, and respectively marking as N i f 、M i f 、S i f 、L i f F is expressed as eachNumbering of the product; f=1, 2,..g, g, expressed as the total number of product numbers;
according to the formulaCalculating a product quality evaluation coefficient CZ corresponding to each marking area in the factory i B1, b2, b3, b4 are respectively represented as set weighting factors.
The execution terminal is used for analyzing the production management grade of each marked area corresponding to the current monitoring period in the factory based on the production management evaluation coefficient of each marked area corresponding to the current monitoring period in the factory to obtain the production management grade of each marked area corresponding to the current monitoring period in the factory, executing corresponding processing based on the production management grade of each marked area corresponding to the current monitoring period in the factory, and simultaneously analyzing the product quality grade of each marked area corresponding to the current monitoring period in the factory based on the product quality evaluation coefficient of each marked area in the factory to obtain the product quality grade of each marked area corresponding to the current monitoring period in the factory, and executing corresponding operation based on the product quality grade of each marked area corresponding to the current monitoring period in the factory.
As a further improvement of the invention, the production management grade of each marked area in the factory corresponding to the current monitoring period is analyzed based on the production management evaluation coefficient of each marked area in the factory corresponding to the current monitoring period, so as to obtain the production management grade of each marked area in the factory corresponding to the current monitoring period, and the specific analysis mode is as follows: and comparing the production management evaluation coefficient corresponding to the current monitoring period of each marking area in the factory with a set production management evaluation coefficient threshold corresponding to each production management level to obtain the production management level corresponding to the current monitoring period of each marking area in the factory.
As a further improvement of the invention, corresponding processing is executed based on the production management grade of each marked area corresponding to the current monitoring period in the factory, and meanwhile, the product quality grade of each marked area corresponding to the current monitoring period in the factory is analyzed based on the product quality evaluation coefficient of each marked area in the factory, so as to obtain the product quality grade of each marked area corresponding to the current monitoring period in the factory, and the specific analysis mode is as follows:
and matching the product quality evaluation coefficients corresponding to the marking areas in the factory with the set product quality evaluation coefficient threshold corresponding to the product quality grades to obtain the product quality grade of the current monitoring period corresponding to the marking areas in the factory.
And the database is used for storing the number of reference workers corresponding to each production stage in each marking area in the factory and storing the estimated output of each monitoring day corresponding to each marking area in the factory.
The invention has the beneficial effects that:
according to the invention, the basic parameters of each production stage of each marked area corresponding to the current monitoring period in the factory are obtained, the stage evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, and meanwhile, the yield evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, so that the production management evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are comprehensively analyzed, timeliness and accuracy of production management monitoring and analysis in the factory are realized to the greatest extent, inaccurate data caused by manual statistical analysis is avoided, and the intellectualization, automation and high efficiency of the production process are realized.
According to the invention, the product quality of each marked area in the factory is detected corresponding to the current monitoring period, and the product quality evaluation coefficient corresponding to each marked area in the factory is analyzed, so that the problem of insufficient viscosity between the factory and a customer due to quality problems is avoided to a great extent, the product quality of the factory is improved, and the production of the factory is ensured to be carried out smoothly.
According to the invention, the production management grade and the product quality grade of each marked area in the factory are analyzed corresponding to the current monitoring period, and corresponding processing is executed, so that the work efficiency of the factory can be improved, the labor cost of the factory is effectively reduced, and reliable data support is provided for management of the factory.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a multi-dimensional intelligent plant monitoring system based on the internet of things technology, comprising: the system comprises a production stage monitoring module, a production yield monitoring module, a production management module, a quality monitoring module, an execution terminal and a database.
It should be noted that, the present invention obtains all parameters in the factory through the internet of things technology.
The production stage monitoring module acquires the production area of the pipeline energy source in the factory, marks the production area of the pipeline energy source in the factory as a marking area, acquires the production stage corresponding to each marking area in the factory, monitors each production stage corresponding to the current monitoring period in each marking area in the factory, and obtains the basic parameters of each production stage corresponding to the current monitoring period in each marking area in the factory, wherein the specific monitoring steps are as follows:
and acquiring videos of all the mark areas in the factory corresponding to all the production stages in the current monitoring period through the camera to obtain videos of all the mark areas in the factory corresponding to all the production stages in the current monitoring period.
Analyzing the video of each production stage corresponding to each marking area in the factory area in the current monitoring period to obtain images of each production stage corresponding to each monitoring time point in the current monitoring period.
And extracting the number of workers of each production stage in each monitoring time point corresponding to each marking area from the image of each production stage in each marking area corresponding to each monitoring time point in the current monitoring time point in the factory, and integrating the same number of workers of adjacent monitoring time points to obtain the number of workers of each time point, and obtaining the number of workers of each production stage in each marking area corresponding to each time point. For example: if the number of workers at 10:30 am is a and the number of workers at 10:31-10:34 is a on a certain day, integrating the workers at 10:30-10:34 into a period, if the number of workers at 10:50-10:51 is a, integrating the period into a period, if the number of workers at 10:52 is a and the number of workers at 10:53-10:56 is b, integrating the workers at 10:52 into a single period, and integrating the workers at 10:53-10:56 into a period.
And screening the number of the workers in the longest period from the number of the workers in each production stage in each period corresponding to each marking area, and taking the number of the workers in each production stage in each marking area corresponding to the current monitoring period in the factory.
Monitoring each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory through the camera to obtain images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory, matching the images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory with the set images of finished products of each production stage, if the images of a certain circulation product of a certain production stage are successfully matched with the set images of the finished products of the corresponding production stage, marking the circulation product as a qualified product, otherwise, marking the circulation product as a semi-finished product, and counting the quantity of qualified products and the quantity of semi-finished products of each production stage in the corresponding current monitoring period of each marking area in the factory.
And monitoring the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory through the camera and the counter to obtain the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory.
The basic parameters of each production stage of each marking area in the factory corresponding to the current monitoring period are composed of the number of workers, the number of qualified products, the number of semi-finished products and the number of circulating products in each marking area in the factory corresponding to each production stage of the current monitoring period.
The method comprises the following steps of:
extracting the numbers of staff, qualified products, semi-finished products and circulating products corresponding to the production stages of the current monitoring period from the basic parameters of the production stages corresponding to the current monitoring period in each marking area in the factory, and respectively marking the numbers as GR i j 、HG i j 、BC i j 、LT i j I is the number of each marking area, i=1, 2,..n, j is the number of each production stage, j=1, 2,..m, n is the total number of marking area numbers, and m is the total number of production stage numbers.
Extracting the reference staff number corresponding to each production stage from each marking area in the factory from the database, normalizing the reference staff number and taking the value, and marking as GR ij 0 。
According to the formulaCalculating a phase evaluation coefficient JD of each marked area corresponding to the current monitoring period in the factory i A1, a2, a3 are respectively indicated as set influencing factors.
The production yield monitoring module obtains the yield of each marked area corresponding to the current monitoring period in the factory to obtain the yield of each marked area corresponding to the current monitoring period in the factory, and analyzes the yield evaluation coefficient of each marked area corresponding to the current monitoring period in the factory to obtain the yield evaluation coefficient of each marked area corresponding to the current monitoring period in the factory, and the specific analysis steps are as follows:
the estimated output of each marked area corresponding to the monitoring day in the factory is extracted from the database, the actual time interval of the current monitoring time interval is obtained, and the actual time interval of the current monitoring time interval is matched with the estimated output influence value corresponding to each set actual time interval, so that the estimated output influence value of the current monitoring time interval is obtained.
Note that the actual period is, for example: 03:00-04:00 and 15:00-16:00, the two actual time periods are different, and have different effects on the production yield of products produced by workers, because each actual time period has a corresponding estimated yield effect value.
And dividing the estimated output of each marked area corresponding to the monitoring day in the factory according to the number of the actual time periods in the actual monitoring day to obtain the estimated output of each marked area corresponding to the actual time period in the monitoring day in the factory.
And carrying out difference between the estimated output of each marking area in the factory and the estimated output influence value of the current monitoring period in the corresponding monitoring day to obtain the estimated output of each marking area in the factory corresponding to the current monitoring period.
Extracting the estimated output value of each marked area corresponding to the current monitoring period in the factory, and marking the estimated output value as YC i Extracting the value of the yield of each marked area corresponding to the current monitoring period in the factory, and recording the value as DC i 。
According to formula CL i =DC i /YC i Calculating yield evaluation coefficients CL of each marked area corresponding to the current monitoring period in the factory i 。
The production management module analyzes the production management evaluation coefficients of all the mark areas in the factory corresponding to the current monitoring period based on the stage evaluation coefficients and the yield evaluation coefficients of all the mark areas in the factory corresponding to the current monitoring period to obtain the production management evaluation coefficients of all the mark areas in the factory corresponding to the current monitoring period, wherein a specific analysis formula is as follows: according to formula SC i =JD i ×a4+CL i Calculating production management evaluation coefficients corresponding to the current monitoring period of each marked area in the factory by using the Xa 5, and calculating SC i The production management evaluation coefficients corresponding to the current monitoring period are represented as the ith marking area in the factory, and a4 and a5 are respectively represented as set coefficient factors.
Further, the basic parameters of each production stage of each marked area corresponding to the current monitoring period in the factory are obtained, the stage evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, the yield evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are analyzed, and then the production management evaluation coefficients of each marked area corresponding to the current monitoring period in the factory are comprehensively analyzed, so that timeliness and accuracy of production management monitoring and analysis in the factory are realized to the greatest extent, inaccurate data caused by manual statistical analysis is avoided, and the intellectualization, automation and high efficiency of the production process are realized.
The quality monitoring module acquires each product of each marked area corresponding to the current monitoring period in the factory, detects the product quality of each marked area corresponding to the current monitoring period in the factory, and obtains the product quality parameters of each marked area corresponding to the current monitoring period in the factory, wherein the specific detection steps are as follows:
and acquiring apparent images of the products of the mark areas in the factory corresponding to the current monitoring period through the camera to obtain apparent images of the products of the mark areas in the factory corresponding to the current monitoring period.
The method comprises the steps of extracting the number of broken positions and the number of broken positions from apparent images of products of all marking areas corresponding to a current monitoring period in a factory, extracting the broken areas of all broken positions and the broken lengths of all broken positions of all marking areas corresponding to products in the current monitoring period from the apparent images, integrating the broken areas of all marking areas corresponding to all broken positions of all products in the current monitoring period to obtain the broken total area of all marking areas corresponding to all products in the current monitoring period, and integrating the broken lengths of all marking areas corresponding to all broken positions of all products in the current monitoring period to obtain the broken total length of all marking areas corresponding to all products in the current monitoring period.
The number of broken positions, the total broken area and the total broken length of each product corresponding to the current monitoring period in each marking area in the factory are obtained, and the product quality parameters corresponding to the current monitoring period in each marking area in the factory are formed.
The product quality evaluation coefficients corresponding to the marking areas in the factory are analyzed, and the product quality evaluation coefficients corresponding to the marking areas in the factory are obtained, wherein the specific analysis steps are as follows:
extracting the number of broken parts, the total broken area and the total broken length of each product of each marked area corresponding to the current monitoring period in the factory from the product quality parameters of each marked area corresponding to the current monitoring period in the factory, and respectively marking as N i f 、M i f 、S i f 、L i f F represents the number of each product; f=1, 2,..g, g is expressed as the total number of product numbers.
According to the formulaCalculating a product quality evaluation coefficient CZ corresponding to each marking area in the factory i B1, b2, b3, b4 are respectively represented as set weighting factors.
Further, the invention detects the product quality of each marking area in the factory corresponding to the current monitoring period, and analyzes the product quality evaluation coefficient corresponding to each marking area in the factory, thereby avoiding the insufficient viscosity between the factory and the customer caused by quality problems to a great extent, improving the product quality of the factory and ensuring the smooth production of the factory.
The execution terminal is used for analyzing the production management grade of each marked area corresponding to the current monitoring period in the factory based on the production management evaluation coefficient of each marked area corresponding to the current monitoring period in the factory to obtain the production management grade of each marked area corresponding to the current monitoring period in the factory, and executing corresponding processing based on the production management grade of each marked area corresponding to the current monitoring period in the factory, and the specific execution process is as follows:
and comparing the production management evaluation coefficient corresponding to the current monitoring period of each marking area in the factory with a set production management evaluation coefficient threshold corresponding to each production management level to obtain the production management level corresponding to the current monitoring period of each marking area in the factory.
In a specific embodiment, if the production management level of a certain mark area in the factory area corresponding to the current monitoring period is one level, the production management of the mark area corresponding to the current monitoring period is displayed through the display, for example: and the production management of a certain marked area corresponding to the current monitoring period is excellent, so that the marked area is taken as a sample. "wherein," certain "refers to a marked area with a production management level of one level.
If the production management level of a certain mark area in the factory area corresponding to the current monitoring period is two-level, the early warning device carries out early warning prompt on the production management of the mark area corresponding to the current monitoring period so as to remind the factory staff to patrol the production management of the mark area.
Analyzing the product quality grade of each marking area corresponding to the current monitoring period based on the product quality evaluation coefficient corresponding to each marking area in the factory to obtain the product quality grade of each marking area corresponding to the current monitoring period, and further executing corresponding operation based on the product quality grade of each marking area corresponding to the current monitoring period in the factory, wherein the specific execution process is as follows:
and matching the product quality evaluation coefficients corresponding to the marking areas in the factory with the set product quality evaluation coefficient threshold corresponding to the product quality grades to obtain the product quality grade of the current monitoring period corresponding to the marking areas in the factory.
In a specific embodiment, if the product quality level of a certain mark area corresponding to the current monitoring period in the factory is first-level, the product quality of the mark area corresponding to the current monitoring period is displayed with a display, for example: and the product quality of a certain marked area corresponding to the current monitoring period is excellent, so that the marked area is used as a sample. "wherein," a "refers to a marked area with a product quality level of one level.
If the product quality grade of a certain marked area in the factory area corresponding to the current monitoring period is two-level, the product quality of the marked area corresponding to the current monitoring period is warned by a warning device so as to remind a factory staff to patrol the product quality of the marked area.
Further, the invention analyzes the production management grade and the product quality grade of each marked area corresponding to the current monitoring period in the factory, and executes corresponding processing, thereby improving the work efficiency of the factory, effectively reducing the labor cost of the factory and providing reliable data support for the management of the factory.
The database stores the number of reference workers in each production stage corresponding to each marking area in the factory, and the estimated output of each monitoring day corresponding to each marking area in the factory.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (4)
1. Multi-dimensional intelligent factory monitoring system based on internet of things technology, which is characterized by comprising:
the production stage monitoring module is used for acquiring the production area of the pipeline energy source in the factory, marking the production area of the pipeline energy source in the factory as a marking area, acquiring production stages corresponding to the marking areas in the factory, monitoring the production stages corresponding to the current monitoring time period in the marking areas in the factory to obtain basic parameters of the production stages corresponding to the current monitoring time period in the marking areas in the factory, and analyzing the stage evaluation coefficients corresponding to the current monitoring time period in the marking areas in the factory to obtain the stage evaluation coefficients corresponding to the current monitoring time period in the marking areas in the factory;
the production yield monitoring module is used for acquiring the yield of each marked area in the factory corresponding to the current monitoring period to obtain the yield of each marked area in the factory corresponding to the current monitoring period, and analyzing the yield evaluation coefficient of each marked area in the factory corresponding to the current monitoring period to obtain the yield evaluation coefficient of each marked area in the factory corresponding to the current monitoring period;
the production management module is used for analyzing the production management evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period based on the phase evaluation coefficients and the yield evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period to obtain the production management evaluation coefficients of the mark areas in the factory area corresponding to the current monitoring period;
the quality monitoring module is used for acquiring products corresponding to the current monitoring period in each marking area in the factory, detecting the product quality corresponding to the current monitoring period in each marking area in the factory, obtaining product quality parameters corresponding to the current monitoring period in each marking area in the factory, and analyzing product quality evaluation coefficients corresponding to each marking area in the factory to obtain product quality evaluation coefficients corresponding to each marking area in the factory;
the execution terminal is used for analyzing the production management grade of each marked area corresponding to the current monitoring period in the factory based on the production management evaluation coefficient of each marked area corresponding to the current monitoring period in the factory to obtain the production management grade of each marked area corresponding to the current monitoring period in the factory, executing corresponding processing based on the production management grade of each marked area corresponding to the current monitoring period in the factory, and simultaneously analyzing the product quality grade of each marked area corresponding to the current monitoring period in the factory based on the product quality evaluation coefficient of each marked area in the factory to obtain the product quality grade of each marked area corresponding to the current monitoring period in the factory, and executing corresponding operation based on the product quality grade of each marked area corresponding to the current monitoring period in the factory;
the specific monitoring mode for monitoring each production stage of each marked area corresponding to the current monitoring period in the factory is as follows:
acquiring videos of all the marking areas in the factory corresponding to all the production stages in the current monitoring period through a camera to obtain videos of all the marking areas in the factory corresponding to all the production stages in the current monitoring period;
analyzing the video of each production stage in the current monitoring period corresponding to each marking area in the factory to obtain images of each production stage in the current monitoring period corresponding to each monitoring time point in each marking area in the factory;
extracting the number of workers of each production stage in each monitoring time point corresponding to each marking area from the image of each production stage in each marking area corresponding to each monitoring time point in the current monitoring time point in the factory, and integrating the same number of workers of adjacent monitoring time points to obtain the number of workers of each time point, and obtaining the number of workers of each production stage in each marking area corresponding to each time point;
screening the number of workers in the longest period from the number of workers in each production stage in each period corresponding to each marking area, and taking the number of workers in each production stage in each marking area corresponding to the current monitoring period in the factory;
monitoring each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory through a camera to obtain images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory, matching the images of each circulation product of each production stage in the corresponding current monitoring period of each marking area in the factory with the set images of finished products of each production stage, if the images of a certain circulation product of a certain production stage are successfully matched with the set images of the finished products of the corresponding production stage, marking the circulation product as a qualified product, otherwise, marking the circulation product as a semi-finished product, and counting the quantity of qualified products and the quantity of semi-finished products of each production stage in the corresponding current monitoring period of each marking area in the factory;
monitoring the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory through the camera and the counter to obtain the quantity of the circulating products of each production stage in the current monitoring period corresponding to each marking area in the factory;
the basic parameters of each production stage of each marking area in the factory corresponding to the current monitoring period are formed by the number of workers, the number of qualified products, the number of semi-finished products and the number of circulating products in each marking area in the factory corresponding to each production stage of the current monitoring period;
the specific analysis mode for analyzing the phase evaluation coefficient of each marked area corresponding to the current monitoring period in the factory is as follows:
extracting the numbers of staff, qualified products, semi-finished products and circulating products corresponding to the production stages of the current monitoring period from the basic parameters of the production stages corresponding to the current monitoring period in each marking area in the factory, and respectively marking the numbers as GR i j 、HG i j 、BC i j 、LT i j I denotes the number of each marking area, i=1, 2,..n, j denotes the number of each production stage, j=1, 2,..m;
extracting the reference staff number corresponding to each production stage from each marking area in the factory from the database, normalizing the reference staff number and taking the value, and marking as GR ij 0 ；
According to the formulaCalculating a phase evaluation coefficient JD of each marked area corresponding to the current monitoring period in the factory i A1, a2, a3 are respectively represented as set influencing factors;
the yield evaluation coefficients of each marked area in the factory area corresponding to the current monitoring period are analyzed in the following specific analysis mode:
extracting estimated output of each marked area corresponding to the monitoring day in the factory from a database, acquiring an actual period of the current monitoring period, and matching the actual period of the current monitoring period with the estimated output influence value corresponding to each set actual period to obtain the estimated output influence value of the current monitoring period;
dividing the estimated output of each marked area corresponding to the monitoring day in the factory according to the number of the actual time periods in the actual monitoring day to obtain the estimated output of each marked area corresponding to the actual time period in the monitoring day in the factory;
the estimated output of each marking area in the factory area corresponding to each actual period in the monitoring day is differenced with the estimated output influence value of the current monitoring period, so that the estimated output of each marking area in the factory area corresponding to the current monitoring period is obtained;
by dividing into separate partsAnalyzing to obtain yield evaluation coefficient CL of each marked area corresponding to the current monitoring period i ；
The specific analysis mode for analyzing the production management evaluation coefficient of each marked area corresponding to the current monitoring period in the factory is as follows:
according to formula SC i =JD i ×a4+CL i Calculating production management evaluation coefficients corresponding to the current monitoring period of each marked area in the factory by using the Xa 5, and calculating SC i The production management evaluation coefficients corresponding to the current monitoring period are represented as the ith marking area in the factory, and a4 and a5 are respectively represented as set coefficient factors;
the product quality evaluation coefficients corresponding to all the marking areas in the factory are analyzed in the specific analysis modes:
extracting the number of broken parts, the total broken area and the total broken length of each product of each marked area corresponding to the current monitoring period in the factory from the product quality parameters of each marked area corresponding to the current monitoring period in the factory, and respectively marking as N i f 、M i f 、S i f 、L i f F represents the number of each product; f=1, 2,..g, g, expressed as the total number of product numbers;
according to the formulaCalculating a product quality evaluation coefficient CZ corresponding to each marking area in the factory i B1, b2, b3, b4 are respectively represented as set weighting factors.
2. The multi-dimensional intelligent factory monitoring system based on the internet of things technology according to claim 1, wherein the product quality of each marked area in the factory corresponding to the current monitoring period is detected, so as to obtain the product quality parameter of each marked area in the factory corresponding to the current monitoring period, and the specific detection mode is as follows:
acquiring apparent images of products corresponding to the current monitoring period in each marking area in the factory through a camera to obtain apparent images of products corresponding to the current monitoring period in each marking area in the factory;
extracting the number of broken positions and the number of broken positions from apparent images of products of each marked area corresponding to the current monitoring period in the factory, extracting the broken area of each broken position and the broken length of each broken position of each product of each marked area corresponding to the current monitoring period from the apparent images, integrating the broken area of each broken position of each marked area corresponding to each product of the current monitoring period to obtain the broken total area of each marked area corresponding to each product of the current monitoring period, and integrating the broken length of each marked area corresponding to each broken position of each product of the current monitoring period to obtain the broken total length of each marked area corresponding to each product of the current monitoring period;
the number of broken positions, the total broken area and the total broken length of each product corresponding to the current monitoring period in each marking area in the factory are obtained, and the product quality parameters corresponding to the current monitoring period in each marking area in the factory are formed.
3. The multi-dimensional intelligent factory monitoring system based on the internet of things technology according to claim 1, wherein the production management evaluation coefficient based on the current monitoring period corresponding to each marked area in the factory analyzes the production management level corresponding to the current monitoring period corresponding to each marked area in the factory to obtain the production management level corresponding to the current monitoring period corresponding to each marked area in the factory, and the specific analysis method is as follows:
and comparing the production management evaluation coefficient corresponding to the current monitoring period of each marking area in the factory with a set production management evaluation coefficient threshold corresponding to each production management level to obtain the production management level corresponding to the current monitoring period of each marking area in the factory.
4. The multi-dimensional intelligent factory monitoring system based on the internet of things technology according to claim 1, wherein the production management level based on the current monitoring period corresponding to each marking area in the factory performs corresponding processing, and meanwhile, analyzes the product quality level corresponding to the current monitoring period corresponding to each marking area in the factory based on the product quality evaluation coefficient corresponding to each marking area in the factory, so as to obtain the product quality level corresponding to the current monitoring period corresponding to each marking area in the factory, and the specific analysis mode is as follows:
and matching the product quality evaluation coefficients corresponding to the marking areas in the factory with the set product quality evaluation coefficient threshold corresponding to the product quality grades to obtain the product quality grade of the current monitoring period corresponding to the marking areas in the factory.
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| CN115578826A (en) * | 2022-11-21 | 2023-01-06 | 广州中科诺泰技术有限公司 | Factory environment monitoring and early warning system |
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| CN111353713A (en) * | 2020-03-03 | 2020-06-30 | 重庆西艾恩科技发展有限公司 | Product quality certification management system for factory production |
| CN112348471A (en) * | 2020-11-06 | 2021-02-09 | 苏州智慧鹿智能科技有限公司 | Production intelligent management system |
| CN113298498A (en) * | 2021-05-31 | 2021-08-24 | 安徽国防科技职业学院 | Management system based on industrial Internet of things platform |
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