CN117252347B - Meta-universe platform based on industrial Internet and safe production and construction method - Google Patents
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Abstract
The invention discloses a meta-universe platform and a construction method based on industrial Internet and safe production, and relates to the technical field of industrial production platform construction.
Description
Technical Field
The invention belongs to the technical field of construction of industrial production platforms, and particularly relates to a meta-universe platform based on industrial Internet and safe production and a construction method.
Background
The concept of safe production generally refers to that in social production activities, potential various accident risks and injury factors in the production process are always in an effective control state through harmonious operation of people, machines, materials, environments and methods, and for the broad-sense safe production, the control of the quality of the product also belongs to the safe production;
the meta universe is a virtual world which is linked and created by using a scientific and technological means and is mapped and interacted with the real world, and has a digital living space of a novel social system. The metauniverse is essentially a process of virtualizing and digitizing the real world, in which a great deal of modification is required for content production, economic systems, user experience, and physical world content.
The invention of patent application publication number CN115796602A discloses an internet-based safe production management system, which comprises a risk management unit, a background management unit and a user operation unit; the risk management unit is used for adding, editing, deleting, checking, searching, importing and exporting information of risk analysis objects, risk analysis events and risk management and control measures; the background management unit is used for maintaining and managing data information managed and controlled in the safety production process; the user operation unit is used for the user to enter or exit the integrated management system through relevant operation. The invention develops and builds a set of management system suitable for safe production, and the system comprises a risk management unit, a background management unit and a user operation unit, can integrate various basic data such as various safety, equipment, personnel and the like, realizes intelligent operation control, accurate risk early warning, unmanned dangerous operation and auxiliary remote operation and maintenance, and ensures that the risk management and control and hidden danger investigation work are more predictable and controllable.
Under the improvement of the prior art, a full-automatic integrated production line is adopted in many production and manufacturing sites, namely, the whole process is automatically operated and processed by a machine, but unstable factors exist in the operation process of production equipment, and the processed product can cause a processing quality influence on the production, but the quality influence caused by single production equipment is controllable, but when the quality of the produced product is detected at the final quality, the quality of the product is not high, and the quality of the product can be detected as unqualified when serious, so that the economic loss of manufacturers is caused.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a metauniverse platform based on industrial Internet and safety production and a construction method thereof, which are used for solving the technical problems.
To achieve the above object, an embodiment according to a first aspect of the present invention proposes an industrial internet + security production-based metauniverse platform comprising:
the method comprises the steps that an original information processing end firstly obtains an original error and a difference precision of production equipment, meanwhile, a node important value is set for a production node, the difference precision in the production node and the original error are added and then multiplied to obtain a production influence value of the production node, and then the original information processing end transmits the production influence value to a product error simulation end;
the equipment error capturing end is used for calculating an actual error value of the production node, monitoring and processing the operation state of the production equipment within the acquisition time T to obtain an energy influence value, simultaneously monitoring and processing the production equipment by adopting central monitoring equipment to obtain an offset distance, combining the energy influence value and the offset distance to obtain the actual error value of the production node, and then transmitting the actual error value to the product error simulation end by the equipment error capturing end;
the product error simulation end is used for constructing a simulation model, taking the production influence value and the actual error value as input values, transmitting the input values into the simulation model for operation to obtain a predicted error value, and then transmitting the predicted error value to the information early-warning end by the product error simulation end.
As a further scheme of the invention, the method for acquiring the production influence value of the production node comprises the following steps:
s1: acquiring an original error YWi of the production equipment, wherein i=1, 2, 3, … … and I represent that I production equipment exists in a complete production line, and the original error refers to the error of the production equipment in the initial operation;
s2: setting a node importance value JDj for each production node, j=1, 2, … …, J, indicating that there are J production nodes, wherein node importance value JDj is a threshold value and the node importance value sum is 1;
s3: extracting standard error in each production product, wherein the standard error refers to the maximum value which can be offset compared with the set standard value, and taking the standard error as the differential precision CDi of corresponding production equipment;
s4: using the formulaObtaining a production influence value YXj of each production node, wherein a to an belong to i, and represent that production devices a, a1, … … and an are included in the production node j, and b represents the number of production devices in the production node j, and when the number of production devices in the production node j is 1, a=an at this time>Representing a fixed coefficient.
As a further aspect of the invention, one production node comprises one or more production devices.
As a further scheme of the invention, the actual error value calculation process is as follows:
ST1: setting an acquisition time T, starting timing when the production equipment receives a starting signal, and monitoring the running state of the production equipment, wherein the running state comprises an energy monitoring value of the production equipment in the acquisition time T, and the energy monitoring value refers to a data value acquired by the power energy of the production equipment in real time when the power energy of the production equipment supplies energy to the production equipment;
ST2: uniformly dividing the acquisition time to obtain a plurality of interval time, and corresponding the interval time to a real-time energy monitoring value to obtain an energy actual value Bm, m=1, 2, 3, … … and M, wherein the acquisition time is divided into M parts;
ST3: using the formulaObtaining an energy fluctuation value BDc, c=1, 2, 3, … … and c1, wherein the existence of c1 interval acquisition time T is represented by Ba, the average value of the energy actual value in the c-th acquisition time T is represented by a formulaObtaining an energy influence value NYI of each production device, wherein Xi is a threshold value;
ST4: then identifying the offset distance Pyci in the production equipment through the central monitoring equipment;
ST5: by usingObtaining the actual error value WXcj, # of the production node j at the c-th acquisition time T>And->Are weight coefficients.
As a further scheme of the invention, the method for acquiring the offset distance comprises the following steps:
according to an original setting program of production equipment, a theoretical center point of the production equipment during processing is obtained in the virtual scene interaction end, center monitoring equipment is arranged in the production equipment, the center monitoring equipment comprises a camera and a sensor, the position of the actual center point of the production equipment is collected through the center monitoring equipment every collection time T, and the position of the actual center point is compared with the position of the theoretical center point to obtain an offset distance Pyci.
As a further aspect of the present invention, the method for obtaining the estimated error score includes:
STE1: firstly, building a product simulation model, wherein the expression mode of the product simulation model is as followsWherein->As a threshold value, YXj represents a production influence value of a production node j, WXcj represents an actual error value of the production node j, j representing a different production node;
STE2: and taking the corresponding acquisition time of the product P just entering the production line as the starting time, acquiring the actual error value and the production influence value of each production node in the whole production line, and obtaining the predicted error value FZp after the product P is processed.
As a further aspect of the present invention, when there is a product P1 on the production line that has been actually operated for a period of time, the method for obtaining the estimated error score is as follows:
acquiring the acquisition time of the corresponding product P1 in the product P1 real-time acquisition node in operation, and acquiring the actual error value of the product according to the acquisition time;
taking the latest acquired actual error value in a preset acquisition node as an input value of a product P1 in a simulation model;
then, simultaneously taking the latest acquired actual error values in the real-time acquisition node and the preset acquisition node as input values of a simulation model, calculating by using the simulation model to obtain a predicted error value, and transmitting the predicted error value to a signal early warning end;
when the product P1 is at the final production node, all production nodes corresponding to the product P1 are real-time acquisition nodes, and the calculated estimated error score is the final error score of the product P1.
As a further scheme of the invention, the method also comprises an information early warning end which is used for comparing the predicted error value with a dangerous threshold value to obtain a quality warning signal, and the specific acquisition method comprises the following steps:
the predicted error score FZp is compared with the hazard threshold Wy, and when FZp < Wy, the predicted error score FZp of the product P is within the standard quality range, the product P is processed normally, and when FZp is greater than or equal to Wy, a quality alarm signal is generated and the relevant manager is notified.
As a further scheme of the invention, the method also comprises a production information acquisition end and a virtual scene interaction end;
the production information acquisition end is used for acquiring production information in the area and transmitting the production information to the virtual scene interaction end and the original information processing end, wherein the area refers to a production area applied by the system, and the production information comprises production nodes, standard errors of the production nodes and original errors of production equipment;
the virtual scene interaction end is used for constructing a virtual production scene and corresponding production equipment in the virtual production scene with the production nodes.
The meta universe construction method based on industrial Internet and safe production comprises the following steps:
step one: collecting production information in the area, constructing a virtual production scene for production equipment in the area through the production information, extracting production nodes in the production information, and corresponding the production nodes to the production equipment;
step two: extracting an original error in production information, setting a node important value in each production node, extracting the difference precision of a product, and carrying out combined operation on the node important value and the difference precision to obtain a production influence value of each production node;
step three: setting an acquisition time T, uniformly dividing the acquisition time T into m equal parts, marking the m equal parts as interval time m of the acquisition time T, corresponding an energy monitoring value to interval time in the acquisition time T, processing to obtain an energy influence value, simultaneously comparing a theoretical center point with an actual center point to obtain an offset distance, and combining the energy influence value with the offset distance to obtain an actual error value of a production node j under the c-th acquisition time T;
step four: setting a product simulation model, corresponding the running time and the acquisition time of the product on a production line, taking an actual error value and a production influence value acquired in real time as input values, and inputting the input values into the product simulation model for calculation to obtain a predicted error value;
step five: and comparing the predicted error score with a dangerous threshold value to obtain a quality alarm signal and notifying a manager.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the virtual production scene is constructed according to the actual production scene by setting the virtual scene interaction end, the reality and the virtual are interacted, and the actual production process can be more intuitively known through the virtual production scene;
according to the invention, the production influence value and the actual error value are respectively obtained through the original information processing end and the equipment error capturing end, the actual acquisition time of the produced product is corresponding to the acquisition time of the actual error value, simulation operation is carried out, the estimated error value of the produced product is obtained, the estimated error value is compared with the dangerous threshold value, and the quality alarm signal is obtained, so that the overall production quality of the produced product is monitored in the processing process, and early warning is carried out on the production quality in time, thereby improving the production quality of the product.
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FIG. 1 is a schematic diagram of a system frame of the present invention;
fig. 2 is a schematic diagram of a flow frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1 and fig. 2, the application provides a meta-universe platform based on industrial internet+safe production, which specifically comprises a production information acquisition end, a virtual scene interaction end, an original information processing end, an equipment error capturing end, a product error simulation end and a signal early warning end;
the production information acquisition end is used for acquiring production information in the region, wherein the production information comprises production nodes, standard errors of the production nodes and original errors of production equipment, the region refers to a production region applied by the system, and then the production information acquisition end transmits the acquired production information to the virtual scene interaction end and the original information processing end;
the virtual scene interaction end is used for carrying out model construction of a three-dimensional virtual scene on production equipment in the area to obtain a virtual production scene, and the description is to be given here that the production equipment adopted in the embodiment is a full-automatic integrated assembly line, so that when the virtual production scene is established, the virtual production scene is set according to the actual production process, the production equipment in the actual production scene is in one-to-one correspondence with the production equipment in the virtual production scene, and meanwhile, the production equipment is in correspondence with the production nodes according to the production nodes, for example, products are required to be cleaned in the production process, at the moment, cleaning exists in the production nodes, a cleaning machine corresponds to the cleaning production nodes, and the virtual scene interaction end is electrically connected with the equipment error capturing end;
the original information processing end is used for processing production information to obtain production original information, the production original information refers to production influence values of each production node, and the specific method for processing the production information is as follows:
s1: firstly, acquiring an original error of production equipment, wherein the original error refers to an error of the production equipment during initial operation, and meanwhile, the original error of each production equipment is marked as YWi, and i=1, 2, 3, … … and I represent that I production equipment exists in a complete production line;
s2: the production influence value occupied by each production node in the production line is obtained, and the specific method for obtaining the production influence value is as follows:
s21: firstly, acquiring production nodes, setting node importance values JDj, j=1, 2, … … and J for each production node, wherein the node importance values JDj are threshold values, and are set by related technicians in the field according to the importance degree of the actual production node in the production process, and the total node importance values are 1, namelyOne of the production nodes comprises one or more production devices;
s22: obtaining the differential precision of each production device, namely extracting the standard error in each production product, wherein the standard error refers to the maximum value which can deviate from the set standard value, for example, the standard size of the production product a is set to be 10, the standard error of the production product a is set to be 5%, namely, the production sizes are all qualified products within 10× (1+/-5%), and the standard error is taken as the differential precision CDi of the corresponding production device;
s23: then using formula L1 to obtain each production nodeProduction influence value YXj, expression of formula L1 is:wherein a to an belong to i, representing that production devices a, a1, … …, an are included in production node j, and b represents the number of production devices in production node j, when the number of production devices in production node j is 1, at which time a=an,>representing a fixed coefficient;
then the original information processing end transmits the production original information to the product error simulation end;
the equipment error capturing end is used for carrying out error collection on the production equipment in operation, and the specific error collection method comprises the following steps:
ST1: setting an acquisition time T, wherein a specific value of the acquisition time T is taken by a person skilled in the art, starting timing when the production equipment receives a starting signal, monitoring the operation state of the production equipment through an interface device, wherein the operation state comprises an energy monitoring value of the production equipment in the acquisition time T, the energy monitoring value refers to a data value acquired by the power energy of the production equipment in real time when the production equipment is powered, for example, when the production equipment is driven by electric power, namely the power energy of the production equipment is electric energy, detecting the electric energy in real time, and recording the data;
ST2: uniformly dividing the acquisition time to obtain a plurality of sections of interval time, setting specific uniform division standards by a person skilled in the art, then corresponding the interval time to a real-time energy monitoring value to obtain an actual energy value, marking the actual energy value as Bm according to a time sequence, wherein m=1, 2, 3, … … and M represent dividing the acquisition time into M sections;
ST3: using the formulaObtaining energy fluctuation values BDc, c=1, 2, 3, … … and c1, wherein the existence of c1 interval acquisition time T is indicated, and Ba represents energy in the c-th acquisition time TMean of the actual values, followed by the formulaObtaining an energy influence value NYI of each production device, wherein Xi is a threshold value, and the Xi of each production device is set by a person skilled in the art;
ST4: and then identifying the offset distance Pyci in the production equipment through the central monitoring equipment, wherein the offset distance of the production equipment refers to the distance between a theoretical center point and an actual center point in the production equipment, and the specific identification mode is as follows:
obtaining a theoretical center point of production equipment during processing according to an original setting program of the production equipment in the virtual scene interaction end, wherein center monitoring equipment is arranged in the production equipment, and comprises a camera and a sensor;
ST5: by usingObtaining the actual error value WXcj, # of the production node j at the c-th acquisition time T>And->All are weight coefficients;
the equipment error capturing end transmits the actual error value of the production node j to the product error simulation end;
the product error simulation end is used for simulating the quality of a product in the production process by taking the actual error value and the production influence value of each production node as input signals to obtain a predicted error value, and the specific predicted error value acquisition method comprises the following steps of:
STE1: firstly, building a product simulation model and expressing a formula of the product simulation modelIs of the typeWherein->For threshold value, every production node->Is carried out by a person skilled in the art;
STE2: taking the corresponding acquisition time of the product P just entering the production line as the initial time, acquiring the actual error value and the production influence value of each production node in the whole production line at the moment, and acquiring the predicted error value FZp after the product P is processed, wherein P represents the product P;
the product error simulation end transmits the expected error value FZp to the signal early warning end, the information early warning end compares the expected error value FZp with the dangerous threshold value Wy, when FZp is smaller than Wy, the expected error value FZp of the product P is shown in the standard quality range, the product P is processed normally at the moment, when FZp is larger than or equal to Wy, a quality alarm signal is generated at the moment, relevant management staff is notified, relevant fault investigation is conducted on production equipment in time, production quality is controlled, and production quality in safe production is improved.
Embodiment two:
the difference between the present embodiment and the first embodiment is that, based on the first embodiment, another processing manner for the product error simulation end in the present embodiment is:
when a product P1 which is actually operated for a period of time exists on the production line, taking a production node of the product P1 which is operated at present as a demarcation point, marking the production node before the demarcation point and the demarcation point as real-time acquisition nodes at the same time, and marking the production node after the demarcation point as preset acquisition nodes;
acquiring the acquisition time of the corresponding product P1 in the product P1 real-time acquisition node in operation, and acquiring the actual error value of the product according to the acquisition time;
taking the latest acquired actual error value in a preset acquisition node as an input value of a product P1 in a simulation model;
then, simultaneously taking the latest acquired actual error values in the real-time acquisition node and the preset acquisition node as input values of a simulation model, calculating by using the simulation model to obtain a predicted error value, and transmitting the predicted error value to a signal early warning end;
it should be noted that, when the product P1 is at the last production node, all the production nodes corresponding to the product P1 are real-time collection nodes, and the calculated estimated error score is the final error score of the product P1;
embodiment III:
this embodiment is used to merge and implement the first and second embodiments.
Embodiment four:
the meta universe construction method based on industrial Internet and safe production specifically comprises the following steps:
step one: collecting production information in the area, constructing a virtual production scene for production equipment in the area through the production information, extracting production nodes in the production information, and corresponding the production nodes to the production equipment;
step two: extracting an original error in production information, setting a node important value in each production node, extracting the difference precision of a product, and carrying out combined operation on the node important value and the difference precision to obtain a production influence value of each production node;
step three: setting an acquisition time T, uniformly dividing the acquisition time T into m equal parts, marking the m equal parts as interval time m of the acquisition time T, corresponding an energy monitoring value to interval time in the acquisition time T, processing to obtain an energy influence value, simultaneously comparing a theoretical center point with an actual center point to obtain an offset distance, and combining the energy influence value with the offset distance to obtain an actual error value of a production node j under the c-th acquisition time T;
step four: setting a product simulation model, corresponding the running time and the acquisition time of the product on a production line, taking an actual error value and a production influence value acquired in real time as input values, and inputting the input values into the product simulation model for calculation to obtain a predicted error value;
step five: and comparing the predicted error score with a dangerous threshold value to obtain a quality alarm signal and notifying a manager.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. Meta-universe platform based on industrial Internet + safety production, characterized by comprising:
the method comprises the steps that an original information processing end firstly obtains an original error and a difference precision of production equipment, meanwhile, a node important value is set for a production node, calculation is carried out according to the difference precision and the original error in the production node to obtain a production influence value of the production node, and then the original information processing end transmits the production influence value to a product error simulation end;
the method for acquiring the production influence value of the production node comprises the following steps:
s1: acquiring an original error YWi of the production equipment, wherein i=1, 2, 3, … … and I represent that I production equipment exists in a complete production line, and the original error refers to the error of the production equipment in the initial operation;
s2: setting a node importance value JDj for each production node, j=1, 2, … …, J, indicating that there are J production nodes, wherein node importance value JDj is a threshold value and the node importance value sum is 1;
s3: extracting standard error in each production product, wherein the standard error refers to the maximum value which can be offset compared with the set standard value, and taking the standard error as the differential precision CDi of corresponding production equipment;
s4: using the formulaObtaining a production influence value YXj of each production node, wherein a to an belong to i, and represent that production devices a, a1, … … and an are included in the production node j, and b represents the number of production devices in the production node j, and when the number of production devices in the production node j is 1, a=an at this time>Representing a fixed coefficient;
the equipment error capturing end is used for calculating an actual error value of the production node, monitoring and processing the operation state of the production equipment within the acquisition time T to obtain an energy influence value, simultaneously monitoring and processing the production equipment by adopting central monitoring equipment to obtain an offset distance, combining the energy influence value and the offset distance to obtain the actual error value of the production node, and then transmitting the actual error value to the product error simulation end by the equipment error capturing end;
the actual error value is calculated by the following steps:
ST1: setting an acquisition time T, starting timing when the production equipment receives a starting signal, and monitoring the running state of the production equipment, wherein the running state comprises an energy monitoring value of the production equipment in the acquisition time T, and the energy monitoring value refers to a data value acquired by the power energy of the production equipment in real time when the power energy of the production equipment supplies energy to the production equipment;
ST2: uniformly dividing the acquisition time to obtain a plurality of interval time, and corresponding the interval time to a real-time energy monitoring value to obtain an energy actual value Bm, m=1, 2, 3, … … and M, wherein the acquisition time is divided into M parts;
ST3: using the formulaObtaining an energy fluctuation value BDc, c=1, 2, 3, … … and c1, wherein the existence of c1 interval acquisition time T is represented by Ba, the average value of the energy actual value in the c-th acquisition time T is represented by a formulaObtaining an energy influence value NYI of each production device, wherein Xi is a threshold value;
ST4: the offset distance PYci in the production facility is then identified by the central monitoring facility:
obtaining a theoretical center point of production equipment during processing according to an original setting program of the production equipment in the virtual scene interaction end, wherein center monitoring equipment is arranged in the production equipment, the center monitoring equipment comprises a camera and a sensor, the position of the actual center point of the production equipment is collected through the center monitoring equipment every collection time T, and the position of the actual center point is compared with the position of the theoretical center point to obtain an offset distance Pyci;
ST5: by usingObtaining the actual error value WXcj, # of the production node j at the c-th acquisition time T>And->All are weight coefficients;
the product error simulation end is used for constructing a simulation model, taking the production influence value and the actual error value as input values, transmitting the input values into the simulation model for operation to obtain a predicted error value, and then transmitting the predicted error value to the information early-warning end by the product error simulation end;
the method for obtaining the estimated error value comprises the following steps:
STE1: firstly, building a product simulation model, wherein the expression mode of the product simulation model is as followsWherein->As a threshold value, YXj represents a production influence value of a production node j, WXcj represents an actual error value of the production node j, j representing a different production node;
STE2: and taking the corresponding acquisition time of the product P just entering the production line as the starting time, acquiring the actual error value and the production influence value of each production node in the whole production line, and obtaining the predicted error value FZp after the product P is processed.
2. The metauniverse platform based on industrial internet + security production of claim 1 wherein one production node comprises one or more production devices.
3. The metauniverse platform based on industrial internet+safe production as claimed in claim 1, wherein when there is a product P1 on the production line that has been actually operated for a period of time, the method for obtaining the estimated error score is:
acquiring the acquisition time of the corresponding product P1 in the product P1 real-time acquisition node in operation, and acquiring the actual error value of the product according to the acquisition time;
taking the latest acquired actual error value in a preset acquisition node as an input value of a product P1 in a simulation model;
then, simultaneously taking the latest acquired actual error values in the real-time acquisition node and the preset acquisition node as input values of a simulation model, calculating by using the simulation model to obtain a predicted error value, and transmitting the predicted error value to a signal early warning end;
when the product P1 is at the final production node, all production nodes corresponding to the product P1 are real-time acquisition nodes, and the calculated estimated error score is the final error score of the product P1.
4. The metauniverse platform based on industrial internet and safe production of claim 1, further comprising an information early warning end, wherein the information early warning end is used for comparing a predicted error score with a dangerous threshold value to obtain a quality alarm signal, and the specific acquisition method is as follows:
the predicted error score FZp is compared with the hazard threshold Wy, and when FZp < Wy, the predicted error score FZp of the product P is within the standard quality range, the product P is processed normally, and when FZp is greater than or equal to Wy, a quality alarm signal is generated and the relevant manager is notified.
5. The metauniverse platform based on industrial internet plus safety production of claim 1 further comprising a production information acquisition end and a virtual scene interaction end;
the production information acquisition end is used for acquiring production information in the area and transmitting the production information to the virtual scene interaction end and the original information processing end, wherein the area refers to a production area applied by the system, and the production information comprises production nodes, standard errors of the production nodes and original errors of production equipment;
the virtual scene interaction end is used for constructing a virtual production scene and corresponding production equipment in the virtual production scene with the production nodes.
6. A meta-universe construction method based on industrial internet + safety production, applied to the meta-universe platform according to any one of the preceding claims 1-5, characterized in that it comprises the following steps:
step one: collecting production information in the area, constructing a virtual production scene for production equipment in the area through the production information, extracting production nodes in the production information, and corresponding the production nodes to the production equipment;
step two: extracting an original error in production information, setting a node important value in each production node, extracting the difference precision of a product, and carrying out combined operation on the node important value and the difference precision to obtain a production influence value of each production node;
step three: setting an acquisition time T, uniformly dividing the acquisition time T into m equal parts, marking the m equal parts as interval time m of the acquisition time T, corresponding an energy monitoring value to interval time in the acquisition time T, processing to obtain an energy influence value, simultaneously comparing a theoretical center point with an actual center point to obtain an offset distance, and combining the energy influence value with the offset distance to obtain an actual error value of a production node j under the c-th acquisition time T;
step four: setting a product simulation model, corresponding the running time and the acquisition time of the product on a production line, taking an actual error value and a production influence value acquired in real time as input values, and inputting the input values into the product simulation model for calculation to obtain a predicted error value;
step five: and comparing the predicted error score with a dangerous threshold value to obtain a quality alarm signal and notifying a manager.
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