CN116679651A - Intelligent control system of industrial production equipment - Google Patents
Intelligent control system of industrial production equipment Download PDFInfo
- Publication number
- CN116679651A CN116679651A CN202310812412.4A CN202310812412A CN116679651A CN 116679651 A CN116679651 A CN 116679651A CN 202310812412 A CN202310812412 A CN 202310812412A CN 116679651 A CN116679651 A CN 116679651A
- Authority
- CN
- China
- Prior art keywords
- production
- information
- signal
- completion
- working time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000009776 industrial production Methods 0.000 title claims abstract description 24
- 238000004519 manufacturing process Methods 0.000 claims abstract description 106
- 238000004458 analytical method Methods 0.000 claims abstract description 65
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims description 40
- 230000001105 regulatory effect Effects 0.000 claims description 40
- 238000012216 screening Methods 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 description 10
- 230000003993 interaction Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an intelligent control system of industrial production equipment, which comprises an information acquisition unit, a self-adaptive processing unit, a normal analysis unit, a production control unit, an abnormal analysis unit and an information output unit, relates to the technical field of intelligent control of industrial equipment, and solves the technical problem that reasonable adjustment cannot be carried out by combining actual production conditions.
Description
Technical Field
The application relates to the technical field of intelligent control of industrial equipment, in particular to an intelligent control system of industrial production equipment.
Background
The existing industrial equipment field control system is generally composed of a real-time acquisition and monitoring module and an HMI human-computer interaction module, so that the equipment can be controlled in an operation mode according to a preset flow and a simple human-computer interaction function is realized.
According to the patent application CN201810262644.6, the system of this patent comprises: the device comprises an RT module, an AI module and an APP module; wherein: the RT module is connected with the industrial equipment through an interface, acquires field data of the industrial equipment, processes the field data, and transmits processing result data to the AI module and the APP module; the AI module performs intelligent analysis on the received processing result data and transmits the intelligent analysis result to the APP module connected with the AI module; the APP module comprises a plurality of APPs with multiple functions, judges and controls analysis results, sends feedback signals to the RT module to realize closed-loop control strategies, and sends the feedback signals to the AI module to realize parameter adjustment of the artificial intelligent model, and the APP module further comprises an APP interface for data transmission. The application can realize the collection, monitoring and interaction of the data of the industrial equipment and the real-time updating response of the model learning, optimizing and controlling strategies based on the data.
Part of the existing intelligent control system for production equipment realizes the switch control of the production equipment through simple monitoring when in use, can not carry out different control according to the production condition, and secondly, in the use process of the control system for the production equipment, on one hand, the excessive yield easily causes burden to staff, on the other hand, the yield does not meet the requirement, influences the whole benefit, and further can not reasonably adjust by combining with the actual production condition.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an intelligent control system of industrial production equipment, which solves the problem that reasonable adjustment cannot be carried out by combining with actual production conditions.
In order to achieve the above purpose, the application is realized by the following technical scheme: an intelligent control system for industrial production equipment, comprising:
the information acquisition unit is used for acquiring basic information of a target object, and the target object comprises: industrial production equipment, basic information includes: throughput, and transmit the basic information of the target object obtained to the adaptive analysis unit;
the self-adaptive analysis unit is used for acquiring the transmitted basic information of the target object, analyzing the target object according to the basic information to generate a qualified object and an unqualified object, transmitting the basic information corresponding to the qualified object to the normal analysis unit, and transmitting the basic information corresponding to the unqualified object to the abnormal analysis unit;
the normal analysis unit is used for acquiring the transmitted basic information of the qualified object, wherein the basic information of the qualified object comprises the following components: the target object label and the production volume are then analyzed, and the production completion condition in the region corresponding to the target object is obtained by calculating the production efficiency in the region, wherein the production completion condition comprises: the completion-capable signal and the non-completion-capable signal are transmitted to the production monitoring unit, and the non-completion-capable signal is transmitted to the production control unit;
the production control unit is used for acquiring and analyzing the transmitted incompletely-finished signals, screening the target objects by calculating the production efficiency of different target objects, marking the screened target objects as objects to be regulated, analyzing the working power and the working time length of the objects to be regulated, generating corresponding power regulation signals and time length regulation signals, and transmitting the power regulation signals and the time length regulation signals to the information output unit;
the anomaly analysis unit is used for acquiring the transmitted unqualified object basic information, wherein the unqualified object basic information comprises the following components: the working time length t and the working power GLi, and transmitting the basic information of the unqualified object to a cause analysis unit;
the cause analysis unit is used for acquiring the transmitted unqualified object basic information and analyzing the unqualified object basic information to obtain an analysis result, wherein the analysis result comprises the following steps: working time length adjustment information, working power adjustment information and equipment fault information, and transmitting analysis results to an information output unit;
and the production monitoring unit is used for acquiring the transmitted signal capable of being completed, monitoring the area in real time and generating monitoring information at the same time, and transmitting the monitoring information to the information output unit.
As a further aspect of the application: the specific analysis mode of the self-adaptive analysis unit is as follows:
s1: all industrial production equipment in the area is acquired and subjected to label processing, the target object is used for replacing the industrial production equipment, i=1, 2, … and n are marked as i, and then the production quantity of the target object is correspondingly acquired and marked as CLi;
s2: the throughput CLi of all the obtained target objects is then compared with the standard throughput BZ, which is to be explained here: the standard production capacity is obtained by the standard parameters recorded on the equipment, the standard production capacity is obtained through calculation according to the standard parameters, the target object with CLi more than or equal to BZ is marked as a qualified object, and the target object with CLi < BZ is marked as an unqualified object.
As a further aspect of the application: the specific way of generating the production completion condition by the normal analysis unit is as follows:
p1: the total production amount of the qualified objects in the region is obtained and recorded as CL, and then the total production amount CL is analyzed to obtain the finished amount and the residual amount and respectively recorded as WC and SY, and the following is needed to be described: the completion amount and the residual amount are respectively calculated by the current time node, and then the production efficiency of the completion amount WC in the area is calculated by the following specific calculation mode:
the number of people in the area is acquired as R and the working time length T, and the following needs to be described: the unit of the working time length T is hours, and the completion quantity WC and the number of people are calculatedR and the working time length T are substituted into the formula:calculating to obtain the average production efficiency of the area;
p2: then, the remaining working time period Ts and the average production efficiency XL are obtained, and the following needs to be described: the residual working time length is expressed as corresponding residual working time length under the standard working time length and is recorded as Ts, if one day works for 9 hours and the working time of half a day in the morning is 4 hours, the corresponding residual working time length is 5 hours, and the calculated average production efficiency XL and the residual working time length Ts are substituted into a formula: q=ts×xl, and the remaining duration completion amount Q is expressed as: the task quantity which can be completed by the production with the average production efficiency XL in the residual time period Ts is recorded as Q;
p3: comparing the calculated residual duration completion quantity Q with the residual quantity SY, wherein the specific comparison mode is as follows:
p31: when Q is more than or equal to SY, the system judges that the production CL in the area can be completed, generates a completion signal and transmits the generated completion signal to the monitoring unit;
p32: when Q < SY, the system determines that the throughput CS in the area is not able to be completed and generates an uncompleted signal while transmitting the uncompleted signal to the production control unit.
As a further aspect of the application: the specific analysis mode of the production control unit is as follows:
m1: acquiring the throughput CLi of the target object in the region, acquiring the working time mark corresponding to the target object as t i, calculating the production efficiency Xi corresponding to the target object according to the acquired throughput CLi of the target object and the working time t i, andthe production efficiency of all target objects in the area is calculated in a similar way;
m2: then, obtaining standard production efficiency Xb of all target objects, comparing and screening all calculated target production efficiency Xi with the standard production efficiency Xb, and screening target objects with Xi being more than or equal to Xb and marking the target objects as objects to be regulated;
m3: acquiring all objects to be regulated and basic information of the objects to be regulated, wherein the basic information comprises: the working power GL, the working time period t i, the standard power Gb and the standard time period tb are then analyzed respectively, and it is to be noted here that: the operating power GL represents the operating power of the object to be regulated during production, which can be set initially by the operator, in the following way:
m31: when GL is more than or equal to Gb, the system judges that the power of the object to be regulated needs to be regulated, and generates a power regulation signal, and simultaneously transmits the power regulation signal to the information output unit;
m32: when t i is more than or equal to tb, the system judges that the working time length of the object to be regulated needs to be regulated, generates a time length regulating signal and simultaneously transmits the time length regulating signal to the information output unit.
As a further aspect of the application: the specific way of generating the analysis result by the cause analysis unit is as follows:
a1: comparing the working time t i with the standard working time tb, comparing the working power GLi with the standard working power Gb, and generating a corresponding comparison result, wherein the specific comparison method is as follows:
a11: when the working time length t i is less than or equal to the standard working time length tb, corresponding working time length adjustment information is generated, otherwise, an adjustment-free signal is generated;
a12: when the working power GLi is less than or equal to the standard working power Gb, corresponding working power adjustment information is generated, otherwise, a signal needing no adjustment is generated;
a2: when the adjustment-free signal is generated, the system automatically generates the device failure information and transmits it to the information output unit.
As a further aspect of the application: the specific mode of the production monitoring unit for generating the monitoring information is as follows:
b1: obtaining the residual quantity SY in the area, monitoring the residual quantity SY in real time, substituting the average production efficiency and the residual working time Ts into a formula to calculate the residual completion quantity Q, and comparing the real-time residual quantity SY with the residual completion quantity Q;
b2: when the residual completion quantity Q exceeds the real-time residual quantity SY, the system determines that normal signals can be completed and generated, otherwise, when the residual completion quantity Q is smaller than the real-time residual quantity SY, the system determines that abnormal signals cannot be completed and generated;
b3: then, the generated abnormal signal is obtained, the real-time residual SY is calculated, the real-time efficiency is calculated and recorded as XLs, and the real-time efficiency XLs is compared with the average production efficiency XL to generate monitoring information, wherein the following needs to be described: the comparison results are defaulted in the present application that the real-time production efficiency XLs is lower than the average production efficiency, and the monitoring information is transmitted to the information output unit.
Advantageous effects
The application provides an intelligent control system of industrial production equipment. Compared with the prior art, the method has the following beneficial effects:
according to the application, through analyzing different equipment, qualified equipment and unqualified equipment are screened out, the different equipment which is not classified is analyzed, and the equipment is reasonably regulated by combining the output of the classified equipment, so that on one hand, the burden of staff caused by excessive output can be avoided, on the other hand, the whole production benefit can be ensured, and on the other hand, the unqualified equipment is subjected to reason analysis, and corresponding reason information is generated and displayed to operators, so that the operators can reasonably regulate the equipment conveniently.
Drawings
FIG. 1 is a block diagram of a system of the present application;
FIG. 2 is a diagram showing the judgment of the method of the present application.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides an intelligent control system for industrial production equipment, comprising:
the information acquisition unit is used for acquiring basic information of a target object, and the target object comprises: industrial production equipment, basic information includes: throughput, and transmits the acquired target object basic information to an adaptive analysis unit.
The self-adaptive analysis unit is used for acquiring the transmitted basic information of the target object, analyzing the target object according to the basic information to generate a qualified object and an unqualified object, transmitting the basic information corresponding to the qualified object to the normal analysis unit, and transmitting the basic information corresponding to the unqualified object to the abnormal analysis unit, wherein the specific analysis mode is as follows:
s1: all industrial production equipment in the area is acquired and subjected to label processing, the target object is used for replacing the industrial production equipment, i=1, 2, … and n are marked as i, and then the production quantity of the target object is correspondingly acquired and marked as CLi;
s2: the throughput CLi of all the obtained target objects is then compared with the standard throughput BZ, which is to be explained here: the standard production capacity is obtained by the standard parameters recorded on the equipment, the standard production capacity is obtained through calculation according to the standard parameters, the target object with CLi more than or equal to BZ is marked as a qualified object, and the target object with CLi < BZ is marked as an unqualified object.
The normal analysis unit is used for acquiring the transmitted basic information of the qualified object, wherein the basic information of the qualified object comprises the following components: the target object label and the production volume are then analyzed, and the production completion condition in the region corresponding to the target object is obtained by calculating the production efficiency in the region, wherein the production completion condition comprises: the completion signal and the non-completion signal can be transmitted to the production monitoring unit, and the non-completion signal is transmitted to the production control unit, and the specific analysis mode of the production completion condition is as follows:
p1: the total production amount of the qualified objects in the region is obtained and recorded as CL, and then the total production amount CL is analyzed to obtain the finished amount and the residual amount and respectively recorded as WC and SY, and the following is needed to be described: the completion amount and the residual amount are respectively calculated by the current time node, and then the production efficiency of the completion amount WC in the area is calculated by the following specific calculation mode:
the number of people in the area is acquired as R and the working time length T, and the following needs to be described: the unit of the working time length T is hour, and the completion quantity WC, the number of people R and the working time length T are substituted into a formula:calculating to obtain the average production efficiency of the area;
p2: then, the remaining working time period Ts and the average production efficiency XL are obtained, and the following needs to be described: the residual working time length is expressed as corresponding residual working time length under the standard working time length and is recorded as Ts, if one day works for 9 hours and the working time of half a day in the morning is 4 hours, the corresponding residual working time length is 5 hours, and the calculated average production efficiency XL and the residual working time length Ts are substituted into a formula: q=ts×xl, and the remaining duration completion amount Q is expressed as: the task quantity which can be completed by the production with the average production efficiency XL in the residual time period Ts is recorded as Q;
p3: comparing the calculated residual duration completion quantity Q with the residual quantity SY, wherein the specific comparison mode is as follows:
p31: when Q is more than or equal to SY, the system judges that the production CL in the area can be completed, generates a completion signal and transmits the generated completion signal to the monitoring unit;
p32: when Q < SY, the system determines that the throughput CS in the area is not able to be completed and generates an uncompleted signal while transmitting the uncompleted signal to the production control unit.
The production control unit is used for acquiring and analyzing the transmitted incompletely-finished signals, screening the target objects by calculating the production efficiency of different target objects, marking the screened target objects as objects to be regulated, analyzing the working power and the working time length of the objects to be regulated, generating corresponding power regulating signals and time length regulating signals, and transmitting the corresponding power regulating signals and time length regulating signals to the information output unit, wherein the specific analysis mode is as follows:
m1: acquiring the throughput CLi of the target object in the region, acquiring the working time mark corresponding to the target object as t i, calculating the production efficiency Xi corresponding to the target object according to the acquired throughput CLi of the target object and the working time t i, andthe production efficiency of all target objects in the area is calculated in a similar way;
m2: then, obtaining standard production efficiency Xb of all target objects, comparing and screening all the calculated target production efficiency Xi with the standard production efficiency Xb, and screening target objects with Xi not less than Xb and marking the target objects as objects to be regulated, wherein the following needs to be described: the target object with Xi < Xb is not screened and analyzed;
m3: acquiring all objects to be regulated and basic information of the objects to be regulated, wherein the basic information comprises: the working power GL, the working time period t i, the standard power Gb and the standard time period tb are then analyzed respectively, and it is to be noted here that: the operating power GL represents the operating power of the object to be regulated during production, which can be set initially by the operator, in the following way:
m31: when GL is more than or equal to Gb, the system judges that the power of the object to be regulated needs to be regulated, and generates a power regulation signal, and simultaneously transmits the power regulation signal to the information output unit;
m32: when t i is more than or equal to tb, the system judges that the working time length of the object to be regulated needs to be regulated, generates a time length regulating signal and simultaneously transmits the time length regulating signal to the information output unit.
The analysis is carried out in combination with the actual application scene, the analysis is only carried out on the power and the working time which are considered to be set during working, and the analysis is not carried out on other conditions.
And the information output unit is used for acquiring the transmitted power adjusting signal and the duration adjusting signal and transmitting the signals to an operator through the display equipment.
The second embodiment is different from the first embodiment in that the adaptive analysis unit transmits the unqualified object basic information to the anomaly analysis unit.
The anomaly analysis unit is used for acquiring the transmitted unqualified object basic information, wherein the unqualified object basic information comprises the following components: the working time length t and the working power GLi, and the unqualified object basic information is transmitted to a cause analysis unit.
The cause analysis unit is used for acquiring the transmitted unqualified object basic information and analyzing the unqualified object basic information to obtain an analysis result, wherein the analysis result comprises the following steps: the working time length adjusting information, the working power adjusting information and the equipment fault information are transmitted to the information output unit, and the specific analysis mode is as follows:
a1: comparing the working time t i with the standard working time tb, comparing the working power GLi with the standard working power Gb, and generating a corresponding comparison result, wherein the specific comparison method is as follows:
a11: when the working time length t i is less than or equal to the standard working time length tb, corresponding working time length adjustment information is generated, otherwise, an adjustment-free signal is generated;
a12: when the working power GLi is less than or equal to the standard working power Gb, corresponding working power adjustment information is generated, otherwise, a signal needing no adjustment is generated;
a2: when the adjustment-free signal is generated, the system automatically generates the device failure information and transmits it to the information output unit.
In the application, if the working time and the working efficiency are not problematic, the system automatically defaults to the problem of the target object, and at the moment, corresponding signals are generated, and the target object is checked by subsequent operators according to the generated signals.
And the information output unit is used for acquiring the transmitted analysis result and displaying the analysis result to an operator through the display equipment.
Embodiment III, as embodiment III of the present application, differs from embodiment I in that the normal analysis unit transmits the generated completion-capable signal to the production monitoring unit.
The production monitoring unit is used for acquiring the transmitted signal capable of being completed, monitoring the area in real time and generating monitoring information at the same time, and then transmitting the monitoring information to the information output unit, wherein the specific generation mode of the monitoring information is as follows:
b1: obtaining the residual quantity SY in the area, monitoring the residual quantity SY in real time, substituting the average production efficiency and the residual working time Ts into a formula to calculate the residual completion quantity Q, and comparing the real-time residual quantity SY with the residual completion quantity Q;
b2: when the residual completion quantity Q exceeds the real-time residual quantity SY, the system determines that normal signals can be completed and generated, otherwise, when the residual completion quantity Q is smaller than the real-time residual quantity SY, the system determines that abnormal signals cannot be completed and generated;
b3: then, the generated abnormal signal is obtained, the real-time residual SY is calculated, the real-time efficiency is calculated and recorded as XLs, and the real-time efficiency XLs is compared with the average production efficiency XL to generate monitoring information, wherein the following needs to be described: the comparison results are defaulted in the present application that the real-time production efficiency XLs is lower than the average production efficiency, and the monitoring information is transmitted to the information output unit.
And the information output unit is used for acquiring the transmitted monitoring information and displaying the monitoring information to an operator through the display equipment.
In the fourth embodiment, the four points as the embodiment of the present application are to combine the implementation procedures of the first embodiment, the second embodiment, and the third embodiment.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (8)
1. An intelligent control system for industrial production equipment, comprising:
the information acquisition unit is used for acquiring basic information of a target object, and the target object comprises: industrial production equipment, basic information includes: throughput, and transmit the basic information of the target object obtained to the adaptive analysis unit;
the self-adaptive analysis unit is used for acquiring the transmitted basic information of the target object, analyzing the target object according to the basic information to generate a qualified object and an unqualified object, transmitting the basic information corresponding to the qualified object to the normal analysis unit, and transmitting the basic information corresponding to the unqualified object to the abnormal analysis unit;
the normal analysis unit is used for acquiring the transmitted basic information of the qualified object, wherein the basic information of the qualified object comprises the following components: the target object label and the production volume are then analyzed, and the production completion condition in the region corresponding to the target object is obtained by calculating the production efficiency in the region, wherein the production completion condition comprises: the completion-capable signal and the non-completion-capable signal are transmitted to the production monitoring unit, and the non-completion-capable signal is transmitted to the production control unit;
the production control unit is used for acquiring and analyzing the transmitted incompletely-finished signals, screening the target objects by calculating the production efficiency of different target objects, marking the screened target objects as objects to be regulated, analyzing the working power and the working time length of the objects to be regulated, generating corresponding power regulation signals and time length regulation signals, and transmitting the power regulation signals and the time length regulation signals to the information output unit;
the anomaly analysis unit is used for acquiring the transmitted unqualified object basic information, wherein the unqualified object basic information comprises the following components: the working time length t and the working power GLi, and transmitting the basic information of the unqualified object to a cause analysis unit;
the cause analysis unit is used for acquiring the transmitted unqualified object basic information and analyzing the unqualified object basic information to obtain an analysis result, wherein the analysis result comprises the following steps: working time length adjustment information, working power adjustment information and equipment fault information, and transmitting analysis results to an information output unit;
and the production monitoring unit is used for acquiring the transmitted signal capable of being completed, monitoring the area in real time and generating monitoring information at the same time, and transmitting the monitoring information to the information output unit.
2. The intelligent control system of industrial production equipment according to claim 1, wherein the specific analysis mode of the adaptive analysis unit is as follows:
s1: all industrial production equipment in the area is acquired and marked as i, i=1, 2, …, n, and then the throughput of the target object is correspondingly acquired and marked as CLi;
s2: and comparing the acquired throughput CLi of all the target objects with the standard throughput BZ, marking the target objects with CLi not less than BZ as qualified objects, and marking the target objects with CLi < BZ as unqualified objects.
3. The intelligent control system of an industrial production facility according to claim 1, wherein the specific way of generating the production completion condition by the normal analysis unit is as follows:
p1: the production total of qualified objects in the region is obtained and recorded as CL, then the production total CL is analyzed to obtain the finished quantity and the residual quantity, the finished quantity and the residual quantity are respectively recorded as WC and SY, and then the production efficiency of the finished quantity WC in the region is calculated by the following specific calculation mode:
the people count in the area is obtained as R and the working time length T, and the completion quantity WC, the people count R and the working time length T are substituted into the formula:calculating to obtain the average production efficiency of the area;
p2: then, obtaining the residual working time period Ts and the average production efficiency XL, and substituting the calculated average production efficiency XL and the residual working time period Ts into a formula: q=ts×xl, and the remaining duration completion amount Q is expressed as: the amount of tasks that can be completed by the production with the average production efficiency XL in the remaining time period Ts is recorded as Q.
4. An intelligent control system for industrial production equipment according to claim 3, wherein the remaining duration completion Q in P3 is compared with the remaining duration SY in the following manner:
p31: when Q is more than or equal to SY, the system judges that the production CL in the area can be completed, generates a completion signal and transmits the generated completion signal to the monitoring unit;
p32: when Q < SY, the system determines that the throughput CS in the area is not able to be completed and generates an uncompleted signal while transmitting the uncompleted signal to the production control unit.
5. The intelligent control system of industrial production equipment according to claim 1, wherein the specific analysis mode of the production control unit is as follows:
m1: acquiring the throughput CLi of the target object in the region, acquiring a working time mark corresponding to the target object as ti, then calculating the production efficiency Xi corresponding to the target object according to the acquired throughput CLi of the target object and the working time ti, andsimilarly calculate the regionProduction efficiency of all target objects;
m2: then, obtaining standard production efficiency Xb of all target objects, comparing and screening all calculated target production efficiency Xi with the standard production efficiency Xb, and screening target objects with Xi being more than or equal to Xb and marking the target objects as objects to be regulated;
m3: acquiring all objects to be regulated and basic information of the objects to be regulated, wherein the basic information comprises: the working power GL, the working time ti, the standard power Gb and the standard time tb are respectively analyzed, and the specific analysis modes are as follows:
m31: when GL is more than or equal to Gb, the system judges that the power of the object to be regulated needs to be regulated, and generates a power regulation signal, and simultaneously transmits the power regulation signal to the information output unit;
m32: when ti is more than or equal to tb, the system judges that the working time length of the object to be regulated needs to be regulated, generates a time length regulating signal and simultaneously transmits the time length regulating signal to the information output unit.
6. The intelligent control system of industrial production equipment according to claim 1, wherein the specific way of generating the analysis result by the cause analysis unit is as follows:
a1: comparing the working time ti with the standard working time tb, comparing the working power GLi with the standard working power Gb and generating a corresponding comparison result, wherein the specific comparison mode is as follows:
a11: when the working time ti is less than or equal to the standard working time tb, corresponding working time adjustment information is generated, otherwise, an adjustment-free signal is generated;
a12: when the working power GLi is less than or equal to the standard working power Gb, corresponding working power adjustment information is generated, otherwise, a signal needing no adjustment is generated;
a2: when the adjustment-free signal is generated, the system automatically generates the device failure information and transmits it to the information output unit.
7. The intelligent control system of an industrial production facility according to claim 1, wherein the specific manner of generating the monitoring information by the production monitoring unit is as follows:
b1: obtaining the residual quantity SY in the area, monitoring the residual quantity SY in real time, substituting the average production efficiency and the residual working time Ts into a formula to calculate the residual completion quantity Q, and comparing the real-time residual quantity SY with the residual completion quantity Q;
b2: when the residual completion quantity Q exceeds the real-time residual quantity SY, the system determines that normal signals can be completed and generated, otherwise, when the residual completion quantity Q is smaller than the real-time residual quantity SY, the system determines that abnormal signals cannot be completed and generated;
b3: the generated abnormal signal is then acquired, the real-time residual amount SY is calculated, the real-time efficiency is calculated and recorded as XLs, the real-time efficiency XLs is compared with the average production efficiency XL to generate monitoring information, and the monitoring information is transmitted to the information output unit.
8. The intelligent control system of industrial production equipment according to claim 1, wherein the information output unit is configured to obtain the transmitted power adjustment signal, the duration adjustment signal, the analysis result and the monitoring information, and transmit the power adjustment signal, the duration adjustment signal, the analysis result and the monitoring information to an operator through the display device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310812412.4A CN116679651A (en) | 2023-07-04 | 2023-07-04 | Intelligent control system of industrial production equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310812412.4A CN116679651A (en) | 2023-07-04 | 2023-07-04 | Intelligent control system of industrial production equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116679651A true CN116679651A (en) | 2023-09-01 |
Family
ID=87779259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310812412.4A Withdrawn CN116679651A (en) | 2023-07-04 | 2023-07-04 | Intelligent control system of industrial production equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116679651A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117081259A (en) * | 2023-09-27 | 2023-11-17 | 惠州市博赛技工学校 | Electric automatization switch board |
| CN117472115A (en) * | 2023-12-22 | 2024-01-30 | 山东鼎晟电气科技有限公司 | Temperature control system based on vacuum sintering furnace |
| CN117649069A (en) * | 2023-11-07 | 2024-03-05 | 北京城建设计发展集团股份有限公司 | Multi-area operation and maintenance resource overall scheduling method based on genetic algorithm |
-
2023
- 2023-07-04 CN CN202310812412.4A patent/CN116679651A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117081259A (en) * | 2023-09-27 | 2023-11-17 | 惠州市博赛技工学校 | Electric automatization switch board |
| CN117649069A (en) * | 2023-11-07 | 2024-03-05 | 北京城建设计发展集团股份有限公司 | Multi-area operation and maintenance resource overall scheduling method based on genetic algorithm |
| CN117472115A (en) * | 2023-12-22 | 2024-01-30 | 山东鼎晟电气科技有限公司 | Temperature control system based on vacuum sintering furnace |
| CN117472115B (en) * | 2023-12-22 | 2024-03-29 | 山东鼎晟电气科技有限公司 | Temperature control system based on vacuum sintering furnace |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116679651A (en) | Intelligent control system of industrial production equipment | |
| CN101196740B (en) | Analytical server integrated in a process control network | |
| DE102006063100B3 (en) | PROCESS MODEL IDENTIFICATION IN A PROCESS CONTROL SYSTEM | |
| US12001178B2 (en) | Aluminum oxide production operation optimization system and method based on cloud-edge collaboration | |
| US9646111B2 (en) | Process monitoring system and method | |
| SG192951A1 (en) | Energy management method and system thereof, and gui method | |
| CN114693069B (en) | Independent optimization operation central heating operation stability assessment method and system | |
| CN108265157A (en) | Intelligent arc furnace steelmaking system | |
| CN107942792A (en) | A kind of multi-platform production line mechanical equipment control system and method | |
| CN116976862B (en) | Factory equipment informatization management system and method | |
| CN116027678A (en) | Intelligent household intelligent regulation control method and system | |
| CN114565327B (en) | Wisdom energy management and control system based on thing networking | |
| CN117215351A (en) | Intelligent monitoring and early warning system for edible fungus planting environment | |
| JP7252703B2 (en) | Operation support device, operation support method, operation support program, and recording medium | |
| JP2019170217A (en) | System of proving plant cultivation assisting information | |
| CN107417145B (en) | Method, device and system for controlling temperature of cement clinker sintering decomposing furnace | |
| CN114967801A (en) | Intelligent production regulation curve and big data platform | |
| CN118838280A (en) | Intelligent control system of industrial production equipment | |
| CN106292591A (en) | A kind of equipment big data platform monitoring diagnosis system | |
| CN117872969A (en) | Intelligent electromechanical machining system based on digital twinning | |
| CN112255969A (en) | Data acquisition, analysis and display system and method of numerical control machine tool | |
| CN116843163A (en) | Management system for building construction progress | |
| CN112019607A (en) | Intelligent farm comprehensive control method and system based on visual cloud platform | |
| CN113110649B (en) | Intercellular indoor temperature and humidity linkage control method and system | |
| CN110908326B (en) | Intelligent fishing ground system based on digital twins and working method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20230901 |