CN113535765A - Intelligent factory remote real-time monitoring regulation cloud platform based on industrial internet - Google Patents
Intelligent factory remote real-time monitoring regulation cloud platform based on industrial internet Download PDFInfo
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Abstract
The invention discloses an intelligent factory remote real-time monitoring and regulating cloud platform based on an industrial internet. This wisdom mill remote real-time supervision regulation and control cloud platform based on industry internet includes: the system comprises a workshop quantity acquisition module, a workshop basic information acquisition module, an equipment forming component information acquisition module, an equipment operation parameter acquisition module, an equipment environment parameter detection module, a data processing and analysis module, a database and a remote regulation and control terminal.
Description
Technical Field
The invention belongs to the technical field of remote monitoring and regulation of factories and relates to an intelligent factory remote real-time monitoring and regulation cloud platform based on an industrial internet.
Background
With the rapid development of the internet technology, the development of a plurality of factories follows the trend of informatization development, the traditional factory management mode cannot meet the current production requirement, and under the large background of more factory management contents and disordered management contents, the factories need to be remotely monitored, regulated and controlled in real time.
The prior factory remote real-time monitoring and regulating cloud platform mainly focuses on remotely monitoring and regulating the production progress and the production efficiency of a factory, the monitoring content is one-sidedness, the equipment operation condition of the factory is not monitored and analyzed, therefore, there is certain drawback in current long-range real-time supervision of mill regulation and control cloud platform still, on the one hand, the content of current long-range real-time supervision of mill regulation and control cloud platform monitoring of mill and regulation and control has the limitation, can't effectual security and the stability that improves mill operation and maintenance, on the one hand, the production efficiency and the orderliness of production that can't effectual improvement mill of current long-range real-time supervision of mill regulation and control cloud platform, on the other hand, the life of the unable effectual guarantee equipment of current long-range real-time supervision of mill regulation and control cloud platform, the production loss that can't effectual reduction caused because of equipment is unusual simultaneously.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, a smart factory remote real-time monitoring and control cloud platform based on an industrial internet for production equipment is proposed, so that the remote real-time monitoring and smart control of a factory are realized;
the purpose of the invention can be realized by the following technical scheme:
the invention provides an industrial internet-based intelligent factory remote real-time monitoring and regulating cloud platform, wherein a data processing and analyzing module is respectively connected with a workshop basic information acquisition module, an equipment forming component information acquisition module, an equipment operation parameter acquisition module, an equipment environment parameter detection module, a database and a remote regulating and controlling terminal, and a workshop quantity acquisition module is connected with the workshop basic information acquisition module;
the workshop quantity acquisition module is used for counting the quantity of the workshops corresponding to the factory, and numbering the workshops corresponding to the factory according to a preset sequence, wherein the workshops are marked as 1, 2,. i,. n in sequence;
the workshop basic information acquisition module is used for acquiring basic information corresponding to each workshop of the factory, wherein the basic information corresponding to the workshop comprises a position corresponding to each workshop and production equipment information corresponding to each workshop;
the equipment forming component information acquisition module detects forming component information corresponding to each production equipment in each workshop of the factory by utilizing a component information detection technology, and then acquires the forming component information corresponding to each production equipment in each workshop of the factory;
the equipment operation parameter acquisition module is used for acquiring numerical values corresponding to operation parameters of production equipment in each workshop of the factory, numbering the operation parameters corresponding to the production equipment in each workshop of the factory according to a preset sequence, sequentially marking the operation parameters as 1, 2, once.x, once.y, and further constructing each operation parameter set Y of the production equipment in each workshopd r(Yd r1,Yd r2,...Yd rx,...Yd ry)，Yd rx represents a numerical value corresponding to the x-th operation parameter of the r-th production equipment of the d-th workshop of the factory, r represents the serial number of the production equipment of each workshop, and r is 1, 2,. j,. m;
the equipment environment parameter detection module is used for detecting environment parameters corresponding to production equipment in each workshop of the factory, wherein the equipment environment parameters comprise internal environment parameters of the production equipment and external environment parameters of the production equipment;
the data processing and analyzing module is used for analyzing and processing the information of the components corresponding to the production equipment of each workshop of the factory, the operation parameters of the production equipment of each workshop of the factory and the environmental parameters corresponding to the production equipment of each workshop of the factory;
the remote control terminal is used for remotely controlling abnormal production equipment in an abnormal workshop.
Further, the production equipment information corresponding to each workshop comprises the number of the production equipment corresponding to each workshop and the working area position corresponding to each production equipment of each workshop, the production equipment corresponding to each workshop is numbered according to a preset sequence, the number is marked as 1, 2, j, m, and a working area position set W of each production equipment of each workshop is establishedd(Wd1,Wd2,...Wdj,...Wdm)，Wdj represents the work area position corresponding to the jth production equipment of the jth workshop of the factory, d represents the workshop number of the factory, and d is 1, 2.
Furthermore, the component information detection technology is a three-dimensional visualization technology, and is used for scanning and shooting each production device in each workshop of the factory by using the three-dimensional visualization technology, generating a three-dimensional motion model corresponding to each production device in each workshop of the factory through a third-party website, recording the motion model as the three-dimensional motion model of the production device, and calling the component information corresponding to each production device in each workshop of the factory according to the three-dimensional motion model corresponding to each production device in each workshop of the factory.
Further, the component member information corresponding to each production device in each workshop of the factory includes the number of component members corresponding to each production device in each workshop of the factory and the numerical values corresponding to the basic parameters of each component member of each production device in each workshop of the factory, the component members corresponding to each production device in each workshop of the factory are numbered according to a preset sequence, and are sequentially marked as 1, 2,. k,. h, the basic parameters corresponding to each component member are numbered according to a preset sequence, and are sequentially marked as 1, 2,. s,. g, and then the component member information corresponding to each workshop of the factory is obtainedThe corresponding numerical value of each basic parameter of each component of each production equipment, and a basic parameter set J of each component of each production equipment of each workshop is constructedd rt(Jd rt1,Jd rt2,...Jd rts,...Jd rtg)，Jd rtg represents a numerical value corresponding to the g-th basic parameter of the ith component of the production equipment of the ith workshop of the factory, t represents the serial number of each component of the production equipment, and t is 1, 2.
Further, each production equipment internal environment parameter includes internal temperature, internal humidity and internal dust concentration, each production equipment external environment parameter includes external temperature, external humidity, external oxygen concentration and external methane concentration, and then obtains the numerical value that each production equipment internal environment parameter in each workshop of this mill of this acquisition time quantum corresponds and the numerical value that each production equipment external environment parameter in each workshop of this mill of this acquisition time quantum corresponds to construct each production equipment internal environment parameter set H in each workshop respectivelyw d(Hw d1,Hw d2,...Hw dj,...Hw dm) and a set of environmental parameters E outside each production facility of each workshope d(Ee d1,Ee d2,...Ee dj,...Ee dm)，Hw dj represents the w-th internal environment parameter corresponding to the j-th production equipment of the d-th workshop of the factory, Ee dm represents the e-th external environment parameter corresponding to the j-th production equipment area of the d-th workshop of the factory, w represents the external environment parameter of each production equipment, w is b1, b2, b3, b1, b2 and b3 respectively represent the internal temperature, the internal humidity and the internal dust concentration, e represents the external environment parameter of the area of each production equipment, e is c1, c2, c3, c4, c1, c2, c3 and c4 respectively represent the external temperature, the external humidity, the external oxygen concentration and the external methane concentration.
Further, the data processing and analyzing module is used for analyzing and processing the information of the component components corresponding to each production device of each workshop of the factory so as to obtain the basic parameter set of each component of each production device of each workshop, obtaining the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory according to the basic parameter set of each component of each production equipment of each workshop, comparing the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory with the standard values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory, further counting the basic parameter operation safety influence coefficient of each component of each production equipment of each workshop, and according to the statistical basic parameter operation safety influence coefficient of each component of each production device in each workshop, further performing statistics on the comprehensive operation influence coefficient of each basic parameter of each component of each production device in each workshop.
Further, the data processing and analyzing module is configured to analyze and process operation parameters of each production device in each workshop of the factory, obtain operation parameter sets of each production device in each workshop, obtain values corresponding to the operation parameters of each production device in each workshop of the factory according to the operation parameter sets of each production device in each workshop of the factory, compare the values corresponding to the operation parameters of each production device in each workshop of the factory with standard values corresponding to the operation parameters of each production device in each workshop of the factory, and further count comprehensive operation safety influence coefficients of the operation parameters of each production device in each workshop.
Further, the data processing and analyzing module is used for comprehensively analyzing and processing the information of the components corresponding to the production equipment in each workshop of the factory and the operation parameters of the production equipment in each workshop of the factory, and further counting the comprehensive operation safety influence coefficients of the production equipment in each workshop according to the counted comprehensive operation influence coefficients of the basic parameters of the components of the production equipment in each workshop and the comprehensive operation safety influence coefficients of the operation parameters of the production equipment in each workshop.
Further, the data processing and analyzing module is used for analyzing and processing the environmental parameters corresponding to each production device in each workshop of the factory, obtaining the internal environmental parameter set of each production device in each workshop and the external environmental parameter set of each production device in each workshop, further obtaining the corresponding numerical value of each internal environmental parameter of each production device in each workshop and the corresponding numerical value of each external environmental parameter in the acquisition time period, comparing the corresponding numerical value of each internal environmental parameter of each production device in each workshop and the corresponding numerical value of each external environmental parameter in the acquisition time period with the corresponding standard numerical value of the internal environmental parameter of the production device in the acquisition time period and the corresponding standard numerical value of the external environmental parameter of the production device in each workshop respectively, and counting the comprehensive operation safety influence coefficient of each internal environmental parameter of each production device in each workshop and the comprehensive operation safety influence coefficient of each external environmental parameter of each production device in each workshop respectively, and further, the comprehensive operation safety influence coefficient of each production equipment environmental parameter of each workshop is counted.
Further, the data processing and analyzing module is further configured to perform comprehensive analysis and processing on the operation information and the environmental parameters corresponding to each production device in each workshop of the factory, count the operation regulation and control influence coefficients of each production device in each workshop according to the counted comprehensive operation safety influence coefficients of each production device in each workshop and the comprehensive operation safety influence coefficients of each production device environmental parameter in each workshop, compare the counted operation regulation and control influence coefficients of each production device in each workshop with preset regulation and control influence coefficients corresponding to each regulation and control level, and further acquire the regulation and control level corresponding to each production device in each workshop.
The invention has the beneficial effects that:
(1) according to the intelligent factory remote real-time monitoring and regulating cloud platform based on the industrial internet, the component information acquisition module, the equipment operation parameter acquisition module and the equipment environment parameter detection module are formed by equipment, and the data processing and analysis module is combined, so that the operation information and the environment information corresponding to each production equipment in each workshop of the factory are carefully detected and comprehensively analyzed, the problems that the monitoring and regulating contents of the existing factory remote real-time monitoring and regulating cloud platform are limited, and the safety and the stability of factory operation and maintenance cannot be effectively improved are effectively solved, the production efficiency and the production orderliness of the factory are greatly improved, the service life of the equipment is effectively guaranteed, and further, the production loss caused by equipment abnormality is effectively reduced.
(2) According to the invention, the equipment component information acquisition module constructs the three-dimensional motion model of the production equipment by utilizing the three-dimensional visualization technology, so that the convenience and intuition of the acquisition of the information of the component of each production equipment in each workshop are greatly improved, and the authenticity and the accuracy of the acquisition of the information of the component of each production equipment in each workshop are greatly improved by utilizing the three-dimensional visualization technology.
(3) According to the invention, the remote control terminal remotely controls the abnormal production equipment in the workshop with abnormal operation, so that the safety accident caused by the fault of the production equipment is effectively prevented, and the response efficiency and the solution efficiency corresponding to the abnormal production equipment are greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system module connection according to the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet comprises a workshop number acquisition module, a workshop basic information acquisition module, an equipment forming component information acquisition module, an equipment operation parameter acquisition module, an equipment environment parameter detection module, a data processing and analysis module, a database and a remote control terminal;
the data processing and analyzing module is respectively connected with a workshop basic information acquisition module, an equipment forming member information acquisition module, an equipment operation parameter acquisition module, an equipment environment parameter detection module, a database and a remote control terminal, and the workshop number acquisition module is connected with the workshop basic information acquisition module;
the workshop quantity acquisition module is used for counting the quantity of the workshops corresponding to the factory, and numbering the workshops corresponding to the factory according to a preset sequence, wherein the workshops are marked as 1, 2,. i,. n in sequence;
the workshop basic information acquisition module is used for acquiring basic information corresponding to each workshop of the factory, wherein the basic information corresponding to the workshop comprises a position corresponding to each workshop and production equipment information corresponding to each workshop;
specifically, the production equipment information corresponding to each workshop includes the number of production equipment corresponding to each workshop and the working area position corresponding to each production equipment of each workshop, the production equipment corresponding to each workshop is numbered according to a preset sequence, the number is sequentially marked as 1, 2, j, m, and a working area position set W of each production equipment of each workshop is establishedd(Wd1,Wd2,...Wdj,...Wdm)，Wdj represents the work area position corresponding to the jth production equipment of the jth workshop of the factory, d represents the workshop number of the factory, and d is 1, 2.
The equipment forming component information acquisition module detects forming component information corresponding to each production equipment in each workshop of the factory by utilizing a component information detection technology, and then acquires the forming component information corresponding to each production equipment in each workshop of the factory;
specifically, the component information detection technology is a three-dimensional visualization technology, and is used for scanning and shooting each production device in each workshop of the factory by using the three-dimensional visualization technology, generating a three-dimensional motion model corresponding to each production device in each workshop of the factory through a third-party website, recording the motion model as the three-dimensional motion model of the production device, and calling the component information corresponding to each production device in each workshop of the factory according to the three-dimensional motion model corresponding to each production device in each workshop of the factory.
In a specific embodiment, the corresponding component members of the production equipment comprise a moving member and a fixed member, wherein the basic parameters corresponding to the moving member comprise the rotating speed, the rotating frequency and the like corresponding to the moving member, and the basic parameters of the fixed member comprise an installation three-dimensional coordinate position and a placement angle, and the placement angle is an included angle between the fixed member and the horizontal direction.
Specifically, the information of the component members corresponding to each production device in each workshop of the plant includes the number of the component members corresponding to each production device in each workshop of the plant and the values corresponding to the basic parameters of each component member of each production device in each workshop of the plant, the component members corresponding to each production device in each workshop of the plant are numbered according to a preset sequence, which are sequentially marked as 1, 2,. k,. h, the basic parameters corresponding to each component member are numbered according to a preset sequence, which are sequentially marked as 1, 2,. s,. g, so as to obtain the values corresponding to the basic parameters of each component member of each production device in each workshop of the plant, and a basic parameter set J of each component member of each production device in each workshop is constructedd rt(Jd rt1,Jd rt2,...Jd rts,...Jd rtg)，Jd rtg represents a numerical value corresponding to the g-th basic parameter of the ith component of the production equipment of the ith workshop of the factory, t represents the serial number of each component of the production equipment, and t is 1, 2.
According to the embodiment of the invention, the equipment forming component information acquisition module constructs the three-dimensional motion model of the production equipment by utilizing the three-dimensional visualization technology, so that the convenience and the intuition of the acquisition of the forming component information of each production equipment in each workshop are greatly improved, and the authenticity and the accuracy of the acquisition of the forming component information of each production equipment in each workshop are greatly improved by utilizing the three-dimensional visualization technology.
The data processing and analyzing module is used for analyzing and processing the information of the component members corresponding to the production equipment of each workshop of the factory so as to obtain the basic parameter set of the component members of the production equipment of each workshop, obtaining the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory according to the basic parameter set of each component of each production equipment of each workshop, comparing the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory with the standard values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory, further counting the basic parameter operation safety influence coefficient of each component of each production equipment of each workshop, and according to the statistical basic parameter operation safety influence coefficient of each component of each production device in each workshop, further performing statistics on the comprehensive operation influence coefficient of each basic parameter of each component of each production device in each workshop.
Wherein, the calculation formula of the operation safety influence coefficient of each component of each production equipment in each workshop is
αdr tzRepresents the operation safety influence coefficient corresponding to the z basic parameter of the t component of the r production equipment of the d workshop of the factory, Jdr tzA value representing the z-th basic parameter of the t-th component of the r-th production equipment of the d-th workshop of the factory, Jdr standard tzThe standard value corresponding to the z-th basic parameter of the ith component of the ith production equipment of the ith workshop of the factory is represented, z represents the serial number of each basic parameter of each component, and z is 1, 2,. s,. g,;
wherein, the calculation formula of the comprehensive operation influence coefficient of the basic parameters of the components of each production equipment in each workshop is
βd rAnd the comprehensive operation safety influence coefficient corresponding to the basic parameters of the component of the r-th production equipment in the d-th workshop of the factory is represented, g represents the number of the basic parameters of each combined component, and h represents the number of the component of each production equipment.
The equipment operation parameter acquisition module is used for acquiring numerical values corresponding to operation parameters of production equipment in each workshop of the factory, numbering the operation parameters corresponding to the production equipment in each workshop of the factory according to a preset sequence, and sequentially marking the operation parameters as 1, 2,.. Y, and further constructing each operation parameter set Y of each production device of each workshopd r(Yd r1,Yd r2,...Yd rx,...Yd ry)，Yd rx represents a numerical value corresponding to the x-th operation parameter of the r-th production equipment of the d-th workshop of the factory, r represents the serial number of the production equipment of each workshop, and r is 1, 2,. j,. m;
in a specific embodiment, the operation parameters corresponding to the production equipment include output current, output voltage and the like.
The data processing and analyzing module is used for analyzing and processing the operation parameters of the production equipment in each workshop of the factory, acquiring the operation parameter set of the production equipment in each workshop, acquiring the numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory according to the operation parameter set of the production equipment in each workshop of the factory, comparing the numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory with the standard numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory, and further counting the comprehensive operation safety influence coefficient of the operation parameter of the production equipment in each workshop.
Wherein, the calculation formula of the comprehensive operation safety influence coefficient of the operation parameters of each production device in each workshop is
φd ruRepresents the comprehensive operation safety influence coefficient, Y, corresponding to the operation parameter of the r & th production equipment of the d & th workshop of the factoryd ruA value Y representing the corresponding u-th operation parameter of the r-th production equipment of the d-th workshop of the factoryd standard ruAnd the standard numerical value corresponding to the u-th operating parameter of the r-th production equipment of the d-th workshop of the factory is shown, and y represents the number corresponding to the operating parameter of each production equipment.
The data processing and analyzing module is used for comprehensively analyzing and processing the information of the components corresponding to the production equipment of each workshop of the factory and the operation parameters of the production equipment of each workshop of the factory, and further counting the comprehensive operation safety influence coefficients of the production equipment of each workshop according to the counted comprehensive operation influence coefficients of the basic parameters of the components of the production equipment of each workshop and the comprehensive operation safety influence coefficients of the operation parameters of the production equipment of each workshop.
Wherein, the calculation formula of the comprehensive operation safety influence coefficient of each production device in each workshop is
δd rAnd the comprehensive operation safety influence coefficient corresponding to the r-th production equipment of the d-th workshop of the factory is shown.
The equipment environment parameter detection module is used for detecting environment parameters corresponding to production equipment in each workshop of the factory, wherein the equipment environment parameters comprise internal environment parameters of the production equipment and external environment parameters of the production equipment;
specifically, each production equipment internal environment parameter includes internal temperature, internal humidity and internal dust concentration, each production equipment external environment parameter includes external temperature, external humidity, external oxygen concentration and external methane concentration, and then obtains the numerical value that each production equipment internal environment parameter in each workshop of this mill of this acquisition time quantum corresponds and the numerical value that each production equipment external environment parameter in each workshop of this mill of this acquisition time quantum corresponds to construct each production equipment internal environment parameter set H in each workshop respectivelyw d(Hw d1,Hw d2,...Hw dj,...Hw dm) and a set of environmental parameters E outside each production facility of each workshope d(Ee d1,Ee d2,...Ee dj,...Ee dm)，Hw dj represents the w-th internal environment parameter corresponding to the j-th production equipment of the d-th workshop of the factory, Ee dm represents the e-th external environment parameter corresponding to the j-th production equipment area of the d-th workshop of the factory, w represents the external environment parameters of the production equipment, w is b1, b2, b3, b1, b2 and b3 respectively represent the internal temperature, the internal humidity and the internal dust concentration, e represents the external environment parameters of the production equipment area, e is c1, c2, c3, c4, c1, c2And c3 and c4 represent the external temperature, external humidity, external oxygen concentration, and external methane concentration, respectively.
Wherein, each production facility internal environment detects and includes a plurality of internal environment detecting element, internal environment detecting element includes first temperature sensor, first humidity transducer and dust concentration sensor, and wherein, first temperature sensor is used for detecting the inside temperature that corresponds of each production facility in each workshop of this mill, and first humidity transducer is used for detecting the inside humidity that corresponds of each production facility in each workshop of this mill, and dust concentration sensor is used for detecting the inside dust concentration that corresponds of each production facility in each workshop of this mill.
Wherein, each production facility external environment detects including a plurality of external environment detecting element, external environment detecting element includes second temperature sensor, second humidity transducer and gas sensor, and wherein, second temperature sensor is used for detecting each production facility place regional outside temperature in each workshop of this mill, and second humidity transducer is used for detecting each production facility place regional outside humidity in each workshop of this mill, and gas concentration sensor is used for detecting each production facility place regional outside corresponding oxygen concentration and methane concentration in each workshop of this mill.
The data processing and analyzing module is used for analyzing and processing the environmental parameters corresponding to each production device in each workshop of the factory, acquiring the internal environmental parameter set of each production device in each workshop and the external environmental parameter set of each production device in each workshop, further acquiring the numerical values corresponding to each internal environmental parameter and each external environmental parameter of each production device in each workshop in the acquisition time period, comparing the numerical values corresponding to each internal environmental parameter and each external environmental parameter of each production device in each workshop in the acquisition time period with the standard numerical values corresponding to the internal environmental parameter of the production device in the acquisition time period and the standard numerical values corresponding to the external environmental parameter of the production device in the acquisition time period, respectively counting the comprehensive operation safety influence coefficient of each internal environmental parameter of each production device in each workshop and the comprehensive operation safety influence coefficient of each external environmental parameter of each production device in each workshop, and further, the comprehensive operation safety influence coefficient of each production equipment environmental parameter of each workshop is counted.
Wherein, the calculation formula of the comprehensive operation safety influence coefficient of the internal environmental parameters of each production device in each workshop is
Representing the comprehensive operation safety conformity influence coefficient corresponding to the internal environment parameter of the r-th production equipment of the d-th workshop, b1d r,b2d r,b3d rRespectively representing the corresponding values of the temperature, the humidity and the dust concentration in the r-th production equipment of the d-th workshop of the factory in the collection time period, b1Standard of merit,b2Standard of merit,b3Standard of meritIndicating the standard internal temperature, the standard internal humidity and the standard internal dust concentration corresponding to the production equipment.
Wherein, the calculation formula of the comprehensive operation safety influence coefficient of the external environment parameters of each production device in each workshop is
ηd rRepresenting the comprehensive operation safety influence coefficient corresponding to the external environment parameter of the r-th production equipment of the d-th workshop of the factory, Ee drA value representing the correspondence of the E external environmental parameter of the r production equipment of the d workshop of the plant, Ee standardAnd the standard value corresponding to the e-th external environment parameter of the production equipment is shown.
Wherein, the calculation formula of the comprehensive operation safety influence coefficient of the environmental parameters of each production device in each workshop is
γd rAnd representing the comprehensive operation safety influence coefficient corresponding to the environmental parameter of the r < th > production equipment of the d < th > workshop of the factory.
The data processing and analyzing module is further used for comprehensively analyzing and processing the operation information and the environmental parameters corresponding to the production equipment in each workshop of the factory, counting the operation regulation and control influence coefficients of the production equipment in each workshop according to the counted comprehensive operation safety influence coefficients of the production equipment in each workshop and the comprehensive operation safety influence coefficients of the environmental parameters of the production equipment in each workshop, comparing the counted operation regulation and control influence coefficients of the production equipment in each workshop with the preset regulation and control influence coefficients corresponding to the regulation and control grades, and further acquiring the regulation and control grades corresponding to the production equipment in each workshop.
Specifically, if the regulation and control level corresponding to a certain production device in a certain workshop is unnecessary to regulate and control, the production device in the workshop is judged to be a normal device; if the regulation and control level corresponding to a certain production device in a certain workshop is ordinary regulation and control, acquiring the environmental parameters corresponding to the device in the workshop, taking the difference value between the environmental parameters corresponding to the production device in the workshop and the standard environmental parameters corresponding to the production device as an adjustment value, if the difference value is greater than zero, adjusting in a reduction mode, if the difference value is less than zero, adjusting in an increase mode, if the regulation and control level corresponding to a certain production device in a certain workshop is emergency regulation and control, judging that the production device in the workshop is abnormal device, and if the regulation and control level corresponding to a certain production device in a certain workshop is closed, further acquiring the regulation and control level, the regulation and control mode and the regulation and control value corresponding to each production device in each workshop.
Wherein, the calculation formula of the operation regulation influence coefficient of each production device in each workshop is
λd rAnd representing the operation regulation influence coefficient corresponding to the r-th production equipment of the d-th workshop of the factory.
The embodiment of the invention effectively solves the problems that the monitoring and regulating contents of the existing factory remote real-time monitoring and regulating cloud platform have limitations and the safety and stability of factory operation and maintenance cannot be effectively improved by carefully detecting and comprehensively analyzing the operation information and the environment information corresponding to each production device in each workshop of the factory, thereby greatly improving the production efficiency and the production orderliness of the factory, effectively ensuring the service life of the device and further effectively reducing the production loss caused by abnormal devices.
The database is used for storing standard values corresponding to all basic parameters of all component elements of all production equipment in all workshops of the factory, standard values corresponding to all operating parameters of all production equipment in all workshops of the factory, standard values corresponding to internal environmental parameters of the production equipment in all acquisition time periods and standard values corresponding to external environmental parameters of the production equipment;
the remote control terminal is used for remotely controlling abnormal production equipment in an abnormal workshop.
Specifically, when the remote control terminal receives the control level, the control mode and the control value corresponding to each production device in each workshop, the corresponding control mode and the corresponding control value are controlled according to the received instruction.
According to the embodiment of the invention, the remote regulation and control terminal remotely regulates and controls the abnormal production equipment in the workshop with abnormal operation, so that the occurrence of safety accidents caused by the faults of the production equipment is effectively prevented, and meanwhile, the response efficiency and the solution efficiency corresponding to the abnormal production equipment are greatly improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The utility model provides a remote real-time supervision regulation and control cloud platform of wisdom mill based on industry internet which characterized in that: the data processing and analyzing module is respectively connected with a workshop basic information acquisition module, an equipment forming member information acquisition module, an equipment operation parameter acquisition module, an equipment environment parameter detection module, a database and a remote control terminal, and the workshop number acquisition module is connected with the workshop basic information acquisition module;
the workshop quantity acquisition module is used for counting the quantity of the workshops corresponding to the factory, and numbering the workshops corresponding to the factory according to a preset sequence, wherein the workshops are marked as 1, 2,. i,. n in sequence;
the workshop basic information acquisition module is used for acquiring basic information corresponding to each workshop of the factory, wherein the basic information corresponding to the workshop comprises a position corresponding to each workshop and production equipment information corresponding to each workshop;
the equipment forming component information acquisition module detects forming component information corresponding to each production equipment in each workshop of the factory by utilizing a component information detection technology, and then acquires the forming component information corresponding to each production equipment in each workshop of the factory;
the equipment operation parameter acquisition module is used for acquiring numerical values corresponding to operation parameters of production equipment in each workshop of the factory, numbering the operation parameters corresponding to the production equipment in each workshop of the factory according to a preset sequence, sequentially marking the operation parameters as 1, 2, once.x, once.y, and further constructing each operation parameter set Y of the production equipment in each workshopd r(Yd r1,Yd r2,...Yd rx,...Yd ry)，Yd rx represents a numerical value corresponding to the x-th operation parameter of the r-th production equipment of the d-th workshop of the factory, r represents the serial number of the production equipment of each workshop, and r is 1, 2,. j,. m;
the equipment environment parameter detection module is used for detecting environment parameters corresponding to production equipment in each workshop of the factory, wherein the equipment environment parameters comprise internal environment parameters of the production equipment and external environment parameters of the production equipment;
the data processing and analyzing module is used for analyzing and processing the information of the components corresponding to the production equipment of each workshop of the factory, the operation parameters of the production equipment of each workshop of the factory and the environmental parameters corresponding to the production equipment of each workshop of the factory;
the remote control terminal is used for remotely controlling abnormal production equipment in an abnormal workshop.
2. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the production equipment information corresponding to each workshop comprises the number of the production equipment corresponding to each workshop and the working area position corresponding to the production equipment of each workshop, and the production equipment information corresponding to each workshop is used for generatingThe production equipment is numbered according to a preset sequence, the number is marked as 1, 2, thed(Wd1,Wd2,...Wdj,...Wdm)，Wdj represents the work area position corresponding to the jth production equipment of the jth workshop of the factory, d represents the workshop number of the factory, and d is 1, 2.
3. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the component information detection technology is a three-dimensional visualization technology, and is used for scanning and shooting production equipment in each workshop of the factory by utilizing the three-dimensional visualization technology, generating a three-dimensional motion model corresponding to the production equipment in each workshop of the factory through a third-party website, recording the motion model as a three-dimensional motion model of the production equipment, and calling component information corresponding to the production equipment in each workshop of the factory according to the three-dimensional motion model corresponding to the production equipment in each workshop of the factory.
4. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the method comprises the steps of obtaining component member information corresponding to each production device of each workshop of a factory, wherein the component member information corresponding to each production device of each workshop of the factory comprises the component member quantity corresponding to each production device of each workshop of the factory and a value corresponding to each basic parameter of each component member of each production device of each workshop of the factory, numbering the component members corresponding to each production device of each workshop of the factory according to a preset sequence, sequentially marking the component members as 1, 2, s, g, further obtaining the value corresponding to each basic parameter of each component member of each production device of each workshop of the factory, and constructing a basic parameter set J of each component member of each production device of each workshopd rt(Jd rt1,Jd rt2,...Jd rts,...Jd rtg)，Jd rtg denotes the d-th workshop of the plantThe r-th production equipment t-th component member corresponds to the value of the g-th basic parameter, t represents the serial number of each production equipment component member, and t is 1, 2.
5. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the internal environment parameters of each production device comprise internal temperature, internal humidity and internal dust concentration, the external environment parameters of each production device comprise external temperature, external humidity, external oxygen concentration and external methane concentration, and then the numerical values corresponding to the internal environment parameters of each production device in each workshop of the factory in the acquisition time period and the numerical values corresponding to the external environment parameters of each production device in each workshop of the factory in the acquisition time period are obtained, and an internal environment parameter set H of each production device in each workshop is respectively constructedw d(Hw d1,Hw d2,...Hw dj,...Hw dm) and a set of environmental parameters E outside each production facility of each workshope d(Ee d1,Ee d2,...Ee dj,...Ee dm)，Hw dj represents the w-th internal environment parameter corresponding to the j-th production equipment of the d-th workshop of the factory, Ee dm represents the e-th external environment parameter corresponding to the j-th production equipment area of the d-th workshop of the factory, w represents the external environment parameter of each production equipment, w is b1, b2, b3, b1, b2 and b3 respectively represent the internal temperature, the internal humidity and the internal dust concentration, e represents the external environment parameter of the area of each production equipment, e is c1, c2, c3, c4, c1, c2, c3 and c4 respectively represent the external temperature, the external humidity, the external oxygen concentration and the external methane concentration.
6. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the data processing and analyzing module is used for analyzing and processing the information of the components corresponding to the production equipment of each workshop of the factory so as to obtain the basic parameter set of the components of the production equipment of each workshop, obtaining the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory according to the basic parameter set of each component of each production equipment of each workshop, comparing the values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory with the standard values corresponding to the basic parameters of each component of each production equipment of each workshop of the factory, further counting the basic parameter operation safety influence coefficient of each component of each production equipment of each workshop, and according to the statistical basic parameter operation safety influence coefficient of each component of each production device in each workshop, further performing statistics on the comprehensive operation influence coefficient of each basic parameter of each component of each production device in each workshop.
7. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the data processing and analyzing module is used for analyzing and processing the operation parameters of the production equipment in each workshop of the factory, acquiring the operation parameter set of the production equipment in each workshop, acquiring the numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory according to the operation parameter set of the production equipment in each workshop of the factory, comparing the numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory with the standard numerical value corresponding to the operation parameter of the production equipment in each workshop of the factory, and further counting the comprehensive operation safety influence coefficient of the operation parameter of the production equipment in each workshop.
8. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the data processing and analyzing module is used for comprehensively analyzing and processing the information of the components corresponding to the production equipment of each workshop of the factory and the operation parameters of the production equipment of each workshop of the factory, and further counting the comprehensive operation safety influence coefficients of the production equipment of each workshop according to the counted comprehensive operation influence coefficients of the basic parameters of the components of the production equipment of each workshop and the comprehensive operation safety influence coefficients of the operation parameters of the production equipment of each workshop.
9. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the data processing and analyzing module is used for analyzing and processing the environmental parameters corresponding to each production device in each workshop of the factory, acquiring the internal environmental parameter set of each production device in each workshop and the external environmental parameter set of each production device in each workshop, further acquiring the numerical values corresponding to the internal environmental parameters and the numerical values corresponding to the external environmental parameters of each production device in each workshop in the acquisition time period, comparing the numerical values corresponding to the internal environmental parameters and the numerical values corresponding to the external environmental parameters of each production device in each workshop in the acquisition time period with the standard numerical values corresponding to the internal environmental parameters and the external environmental parameters of the production devices in the acquisition time period, respectively counting the comprehensive operation safety influence coefficients of the internal environmental parameters of each production device in each workshop and the comprehensive operation safety influence coefficients of the external environmental parameters of each production device in each workshop, and further, the comprehensive operation safety influence coefficient of each production equipment environmental parameter of each workshop is counted.
10. The intelligent factory remote real-time monitoring and control cloud platform based on the industrial internet as claimed in claim 1, wherein: the data processing and analyzing module is further used for comprehensively analyzing and processing the operation information and the environmental parameters corresponding to the production equipment in each workshop of the factory, counting the operation regulation and control influence coefficients of the production equipment in each workshop according to the counted comprehensive operation safety influence coefficients of the production equipment in each workshop and the comprehensive operation safety influence coefficients of the environmental parameters of the production equipment in each workshop, comparing the counted operation regulation and control influence coefficients of the production equipment in each workshop with the preset regulation and control influence coefficients corresponding to the regulation and control grades, and further acquiring the regulation and control grades corresponding to the production equipment in each workshop.
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Cited By (6)
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| CN114819488A (en) * | 2022-03-14 | 2022-07-29 | 武汉霖馨建筑装饰工程有限公司 | Building construction operation informatization management platform based on big data analysis |
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| CN117369570A (en) * | 2023-11-23 | 2024-01-09 | 乐普(北京)生物科技有限公司 | Intelligent temperature and humidity adjusting system and method and application thereof in biological pharmaceutical factory |
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| CN114819488A (en) * | 2022-03-14 | 2022-07-29 | 武汉霖馨建筑装饰工程有限公司 | Building construction operation informatization management platform based on big data analysis |
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| CN116341823B (en) * | 2023-01-12 | 2023-11-14 | 江苏领视达智能科技有限公司 | Remote processing monitoring system and monitoring method for peep-proof flat panel display |
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| CN117234257A (en) * | 2023-10-19 | 2023-12-15 | 江苏永凯环境工程有限公司 | Factory workshop temperature regulation and control method based on data analysis |
| CN117369570A (en) * | 2023-11-23 | 2024-01-09 | 乐普(北京)生物科技有限公司 | Intelligent temperature and humidity adjusting system and method and application thereof in biological pharmaceutical factory |
| CN117369570B (en) * | 2023-11-23 | 2024-04-16 | 乐普(北京)生物科技有限公司 | Intelligent temperature and humidity adjusting system and method and application thereof in biological pharmaceutical factory |
| CN117930785A (en) * | 2024-03-21 | 2024-04-26 | 西安易诺敬业电子科技有限责任公司 | Workshop production safety monitoring system based on big data |
| CN117930785B (en) * | 2024-03-21 | 2024-06-07 | 西安易诺敬业电子科技有限责任公司 | Workshop production safety monitoring system based on big data |
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