CN115167327A - Control method and system for new energy automobile part production equipment - Google Patents
Control method and system for new energy automobile part production equipment Download PDFInfo
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- G05B19/41875—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 quality surveillance of production
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Abstract
The invention relates to the technical field of equipment monitoring, and particularly discloses a control method and a control system for new energy automobile part production equipment, wherein the method comprises the steps of obtaining the production equipment for recording, and determining a workshop model according to the production equipment; receiving a product index input by a user, inquiring a production flow, and determining control parameters containing time information of each production device according to the production flow; acquiring working parameters of production equipment in real time, and determining the abnormal level of each production equipment; and correcting the control parameters of each production device according to the abnormal level. According to the method, the workshop model is established according to the filed production equipment, when the product index of a worker is received, the production flow is inquired according to the product index, the control parameter of each production equipment is determined according to the production flow, then the worker conducts fine adjustment on the determined control parameter in time according to the production progress, the control parameter of each production equipment can be conveniently determined, and the workload is greatly reduced.
Description
Technical Field
The invention relates to the technical field of equipment monitoring, in particular to a control method and a control system for new energy automobile part production equipment.
Background
The new energy automobile adopts unconventional automobile fuel as a power source (or adopts conventional automobile fuel and a novel vehicle-mounted power device), integrates advanced technologies in the aspects of power control and driving of the automobile, forms an automobile with advanced technical principle, new technology and new structure, becomes an air port, and has a sufficient and perfect related industrial chain.
In a part production workshop of a new energy automobile, the intelligent level is high often, production activities are mostly completed by intelligent production equipment, control parameters of the intelligent production equipment are often determined by workers in real time, so that the new equipment needs to be calibrated and the control parameters are determined before the parts perform a new process each time, although the workers can prepare the new process when the previous process is not completed, the part processing efficiency cannot be influenced, the workload of the workers is large and can be reduced in the process; how to reduce the workload of workers in the process of procedure replacement in the existing intelligent system is the technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a control method and a control system for new energy automobile part production equipment, which aim to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a control method of a new energy automobile part production device comprises the following steps:
acquiring a registered production device, and determining a workshop model according to the production device;
receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow;
acquiring working parameters of production equipment in real time, determining standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to the comparison result;
and inquiring emergency measures in a preset emergency measure library according to the abnormal level, and correcting the control parameters of each production device.
As a further scheme of the invention: the step of determining the workshop model according to the production equipment for obtaining the records comprises the following steps:
generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
inquiring power supply equipment in a workshop environment, and marking power supply nodes containing power supply parameters in the workshop according to the power supply equipment; the power supply parameters comprise rated voltage and rated current;
establishing a connection channel with a filing database, inquiring the filed production equipment and the operation requirements thereof, and matching power supply nodes corresponding to the production equipment in a workshop model according to the operation requirements and the power supply parameters;
and inserting the power supply node into the workshop model according to the matching result.
As a further scheme of the invention: the step of receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow comprises the following steps:
receiving a product index input by a user, and inquiring a production process corresponding to the product in a recorded production process library according to the product index;
inquiring production equipment, production time and production mode corresponding to each step in the production flow; the format of the production time is from the starting time to the stopping time;
and counting the production time and the production mode of each production device, and determining the control parameters containing time information of the production device according to the production time and the production mode.
As a further scheme of the invention: the steps of acquiring the working parameters of the production equipment in real time, determining the standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to the comparison result comprise:
inquiring monitoring nodes in the production equipment, and numbering the monitoring nodes according to the connection relation of each monitoring node;
acquiring monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data;
determining a fluctuation array of the monitoring node according to a fluctuation analysis result; wherein the subscript of the fluctuation array is determined by the order of the time periods, and the value of the fluctuation array is determined by the fluctuation analysis result;
inputting the control parameters into a theoretical model corresponding to production equipment to obtain a standard array;
and inputting the standard array and the fluctuation array into a trained anomaly analysis model to obtain the anomaly level of the production equipment.
As a further scheme of the invention: the steps of acquiring monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data comprise:
generating a data queue corresponding to the monitoring node; the same monitoring node corresponds to at least one independent data queue;
sequentially acquiring data volume and entry time of data packets entering a data queue within a preset time period, and generating a characteristic array of the data queue according to the entry time and the data volume;
calculating data updating frequency according to the entry time in the characteristic array;
normalizing the data quantity according to a preset data range, and calculating the number of data in different data ranges;
and inputting the data updating frequency and the data number into a trained fluctuation value generation model to obtain a fluctuation value.
As a further scheme of the invention: the step of inquiring the emergency measures in a preset emergency measure library according to the abnormal level and correcting the control parameters of each production device comprises the following steps:
comparing the abnormal level with a preset abnormal threshold, and inquiring substitute equipment in the recorded production equipment when the abnormal level reaches the preset abnormal threshold;
reading the production time and the production mode of the production equipment, determining the control parameters of the replacement equipment according to the production time and the production mode, and recording the replacement time of the equipment;
and adjusting the time information of the control parameters of all the production equipment according to the equipment replacement time.
As a further scheme of the invention: the method further comprises the following steps:
acquiring current data of all production equipment of the same node in real time, generating a current array, and generating a power supply curve based on the current array;
calculating derivative function curves of the power supply curves, and integrating the derivative function curves of all production equipment into the same power supply image;
determining sampling points according to a preset step length, and sequentially inquiring the values of all derivative function curves at the sampling points; the sampling points are time points;
and calculating the deviation rate between all values and the mean value at the same sampling point, adjusting the abnormal value of the production equipment according to the deviation rate, and correcting the abnormal level of the production equipment according to the abnormal value.
The technical scheme of the invention also provides a control system of the new energy automobile part production equipment, which comprises the following steps:
the workshop model determining module is used for acquiring the filed production equipment and determining a workshop model according to the production equipment;
the control parameter determining module is used for receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow;
the abnormal level determining module is used for acquiring working parameters of the production equipment in real time, determining standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to a comparison result;
and the control parameter correction module is used for inquiring the emergency measures in a preset emergency measure library according to the abnormal level and correcting the control parameters of each production device.
As a further scheme of the invention: the plant model determination module includes:
the model generating unit is used for generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
the node determining unit is used for inquiring the power supply equipment in the workshop environment and marking the power supply nodes containing power supply parameters in the workshop according to the power supply equipment; the power supply parameters comprise rated voltage and rated current;
the matching unit is used for establishing a connecting channel with the record database, inquiring the recorded production equipment and the operation requirement thereof, and matching power supply nodes corresponding to the production equipment in the workshop model according to the operation requirement and the power supply parameters;
and the node inserting unit is used for inserting the power supply node into the workshop model according to the matching result.
As a further scheme of the invention: the control parameter determination module includes:
the production process query unit is used for receiving a product index input by a user and querying a production process corresponding to the product in a recorded production process library according to the product index;
the parameter query unit is used for querying the production equipment, the production time and the production mode corresponding to each step in the production flow; the production time is in a format from starting time to stopping time;
and the data statistics unit is used for counting the production time and the production mode of each production device and determining the control parameters containing the time information of the production device according to the production time and the production mode.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the workshop model is established according to the filed production equipment, when the product index of a worker is received, the production flow is inquired according to the product index, the control parameter of each production equipment is determined according to the production flow, then the worker conducts fine adjustment on the determined control parameter in time according to the production progress, the control parameter of each production equipment can be conveniently determined, and the workload is greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow chart of a control method of a new energy automobile part production device.
Fig. 2 is a first sub-flow block diagram of a control method of a new energy automobile part production facility.
Fig. 3 is a second sub-flow block diagram of the control method of the new energy automobile part production equipment.
Fig. 4 is a third sub-flow block diagram of the control method of the new energy automobile part production equipment.
Fig. 5 is a fourth sub-flow block diagram of the control method of the new energy automobile part production equipment.
FIG. 6 is a block diagram of a control system of the new energy automobile part production equipment.
Fig. 7 is a block diagram of a component structure of a workshop model determining module in a control system of the new energy automobile part production equipment.
Fig. 8 is a block diagram of a control parameter determination module in a control system of a new energy automobile part production facility.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a flowchart of a control method of a new energy vehicle part production apparatus, in an embodiment of the present invention, the method includes steps S100 to S400:
step S100: acquiring the recorded production equipment, and determining a workshop model according to the production equipment;
the production process of the new energy automobile parts occurs in a workshop, a plurality of production devices are arranged in the workshop, a workshop model can be built according to the production devices, and management and control of the production devices are very convenient and fast based on the workshop model;
step S200: receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow;
the user inputs a product index, wherein the product index is a product which can be produced by an enterprise, the number of the products is limited, and the product index can be a product name; for a standardized production workshop, the production flow of each product is recorded, the corresponding production flow can be inquired according to the product index, and the working state of each production device, namely the control parameter, is further determined; it should be noted that the control parameter includes time information;
step S300: acquiring working parameters of production equipment in real time, determining standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to the comparison result;
after the control parameters of the production equipment are determined, the standard parameters of the production equipment can be determined based on the theoretical model, the working parameters are obtained, and whether the working parameters are abnormal or not can be judged by taking the standard parameters as a reference;
step S400: inquiring emergency measures in a preset emergency measure library according to the abnormal level, and correcting control parameters of each production device;
according to the degree of the abnormality, some emergency measures are determined, which are embodied by adjusting the control parameters of the production equipment.
Fig. 2 is a first sub-flow block diagram of a control method of a new energy automobile part production device, where the step of acquiring a registered production device and determining a workshop model according to the production device includes steps S101 to S104:
step S101: generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
step S102: inquiring power supply equipment in a workshop environment, and marking power supply nodes containing power supply parameters in the workshop according to the power supply equipment; the power supply parameters comprise rated voltage and rated current;
step S103: establishing a connection channel with a record database, inquiring recorded production equipment and operation requirements thereof, and matching power supply nodes corresponding to the production equipment in a workshop model according to the operation requirements and the power supply parameters;
step S104: and inserting the power supply node into the workshop model according to the matching result.
Step S101 to step S104 specifically describe the generation process of the workshop model, and map the actual environment into a workshop model according to a preset scale, wherein the workshop model can be a 2.5D model or a plan; inquiring power supply equipment in an actual environment, wherein the power supply equipment is not power generation equipment in the traditional sense, but equipment which plays a role in energy supply in a workshop, and is often a power transformation box; determining a power supply node in a workshop model according to the power supply equipment; matching each power supply node according to the energy supply requirement of each production device, and inserting the power supply nodes into the workshop model; the power supply nodes in the plant model have no relation with the actual positions, and are only used for indicating which production devices share the same power supply interface.
Fig. 3 is a block diagram of a second sub-process of a control method for new energy vehicle part production equipment, where the step of receiving a product index input by a user, querying a production process in a preset production process library according to the product index, and determining a control parameter containing time information of each production equipment according to the production process includes steps S201 to S203:
step S201: receiving a product index input by a user, and inquiring a production flow corresponding to the product in a recorded production flow library according to the product index;
step S202: inquiring production equipment, production time and production mode corresponding to each step in the production flow; the format of the production time is from the starting time to the stopping time;
step S203: and counting the production time and the production mode of each production device, and determining the control parameters containing time information of the production device according to the production time and the production mode.
The generation process of the control parameters is specifically described, firstly, a production flow corresponding to a certain product is inquired, the production flow consists of a plurality of steps, each step is completed by one or more production devices, the production device and the working parameters thereof required by each step are inquired, then the production devices are sequentially inquired in which steps based on the production devices, and the working schedule of the production devices can be determined; the working time table comprises a time item and a mode item, and the control parameter corresponding to any mode is preset.
Fig. 4 is a block diagram of a third sub-flow of a control method of a new energy automobile part production device, where the step of acquiring a working parameter of the production device in real time, determining a standard parameter of the production device according to the control parameter, comparing the working parameter with the standard parameter, and determining an abnormal level of each production device according to a comparison result includes steps S301 to S305:
step S301: inquiring monitoring nodes in the production equipment, and numbering the monitoring nodes according to the connection relation of each monitoring node;
step S302: acquiring monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data;
step S303: determining a fluctuation array of the monitoring node according to a fluctuation analysis result; wherein the subscript of the fluctuation array is determined by the order of the time periods, and the value of the fluctuation array is determined by the fluctuation analysis result;
step S304: inputting the control parameters into a theoretical model corresponding to production equipment to obtain a standard array;
step S305: and inputting the standard array and the fluctuation array into a trained anomaly analysis model to obtain the anomaly level of the production equipment.
The production equipment is provided with a plurality of microprocessors which are used for detecting various functions of the production equipment, and the microprocessors can be sensors or one or two modules integrated in a controller, and the microprocessors are collectively called monitoring nodes; for the data analysis process of the monitoring nodes, firstly, the monitoring nodes need to be numbered, the data acquired by different monitoring nodes are analyzed separately, and the states of the monitoring nodes are determined; then, the state of the monitoring node is analyzed based on the standard state in the ideal state, and the abnormal level of the production equipment can be determined.
Further, the steps of acquiring the monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data include:
generating a data queue corresponding to the monitoring node; the same monitoring node corresponds to at least one independent data queue;
sequentially acquiring the data volume and the entry time of a data packet entering a data queue in a preset time period, and generating a characteristic array of the data queue according to the entry time and the data volume;
calculating data updating frequency according to the entry time in the feature array;
normalizing the data quantity according to a preset data range, and calculating the number of data in different data ranges;
and inputting the data updating frequency and the data number into a trained fluctuation value generation model to obtain a fluctuation value.
The number of monitoring nodes in the same production equipment is large, the monitoring nodes are mutually independent, and the connection refers to the connection of a data layer, namely, the output of one monitoring node is the input of the other monitoring node, and the connection relations can be determined through the model data of the production equipment;
data acquired by the monitoring node is transmitted to the control end in a data packet mode, and the data volume, time characteristics and transmission frequency of the data packet can reflect the state of the monitoring node; the data updating frequency is determined by the time of the data packets entering the data queue, the data volume adopts a classification mode to determine the data number in different data ranges, and the quantity characteristic of the data packets can be determined; and inputting the data updating frequency and the quantity characteristics into a fluctuation value generation model to obtain a fluctuation value.
Fig. 5 is a fourth sub-flow block diagram of the control method for the new energy automobile part production equipment, where the step of querying emergency measures in a preset emergency measure library according to the abnormal level and correcting the control parameters of each production equipment includes steps S401 to S403:
step S401: comparing the abnormal level with a preset abnormal threshold, and inquiring substitute equipment in the recorded production equipment when the abnormal level reaches the preset abnormal threshold;
step S402: reading the production time and the production mode of the production equipment, determining the control parameters of the replacement equipment according to the production time and the production mode, and recording the replacement time of the equipment;
step S403: and adjusting the time information of the control parameters of all the production equipment according to the equipment replacement time.
The above-mentioned content defines the execution process of emergency measures, and when the abnormal level is too high, the production equipment can not continue to engage in production activities, so that the substitute equipment needs to be inquired; at this time, the control parameters of the replacement equipment need to be continued to the control parameters of the original production equipment; in the alternative process, there may be an adjustment time, which has an influence on the control parameters of all the following production equipment, in particular, on the time information in the control parameters.
As a preferred embodiment of the technical solution of the present invention, the method further comprises:
acquiring current data of all production equipment of the same node in real time, generating a current array, and generating a power supply curve based on the current array;
calculating derivative function curves of the power supply curves, and integrating the derivative function curves of all production equipment to the same power supply image;
determining sampling points according to a preset step length, and sequentially inquiring the values of all derivative function curves at the sampling points; the sampling point is a time point;
and calculating the deviation rate between all the values and the mean value at the same sampling point, adjusting the abnormal value of the production equipment according to the deviation rate, and correcting the abnormal level of the production equipment according to the abnormal value.
The above-mentioned content analyzes the abnormal condition of the production equipment from the power supply perspective, and for the same power supply node, the current fluctuation of each production equipment should be similar, that is, the difference between the derivatives of each time point is within a certain range; if a point with an excessively large derivative value exists in a certain time point, the production equipment corresponding to the point is abnormal at the time point, and when the abnormal point is excessive, the whole production equipment can be considered to be in an abnormal state.
Example 2
Fig. 6 is a block diagram of a structure of a control system of a new energy automobile part production apparatus, in an embodiment of the present invention, the control system of a new energy automobile part production apparatus includes:
the workshop model determining module 11 is used for acquiring the filed production equipment and determining a workshop model according to the production equipment;
the control parameter determining module 12 is configured to receive a product index input by a user, query a production process in a preset production process library according to the product index, and determine a control parameter containing time information of each production device according to the production process;
the abnormal level determining module 13 is configured to obtain working parameters of the production equipment in real time, determine standard parameters of the production equipment according to the control parameters, compare the working parameters with the standard parameters, and determine an abnormal level of each production equipment according to a comparison result;
and the control parameter correction module 14 is configured to query emergency measures in a preset emergency measure library according to the abnormal level, and correct the control parameters of each production device.
Fig. 7 is a block diagram of a component structure of a workshop model determining module in a control system of a new energy automobile part production facility, where the workshop model determining module 11 includes:
the model generating unit 111 is used for generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
a node determining unit 112, configured to query a power supply device in a workshop environment, and mark a power supply node containing a power supply parameter in the workshop according to the power supply device; the power supply parameters comprise rated voltage and rated current;
the matching unit 113 is used for establishing a connection channel with the filing database, inquiring the filed production equipment and the operation requirements thereof, and matching power supply nodes corresponding to the production equipment in the workshop model according to the operation requirements and the power supply parameters;
and a node inserting unit 114, configured to insert the power supply node into the plant model according to the matching result.
Fig. 8 is a block diagram of a control parameter determination module in a control system of a new energy automobile part production facility, where the control parameter determination module 12 includes:
a production process query unit 121, configured to receive a product index input by a user, and query a production process corresponding to the product in a registered production process library according to the product index;
a parameter query unit 122, configured to query the production equipment, the production time, and the production mode corresponding to each step in the production flow; the format of the production time is from the starting time to the stopping time;
and the data statistics unit 123 is configured to count the production time and the production mode of each production device, and determine the control parameter containing the time information of the production device according to the production time and the production mode.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A control method of new energy automobile part production equipment is characterized by comprising the following steps:
acquiring a registered production device, and determining a workshop model according to the production device;
receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow;
acquiring working parameters of production equipment in real time, determining standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to the comparison result;
and inquiring emergency measures in a preset emergency measure library according to the abnormal level, and correcting the control parameters of each production device.
2. The control method of the new energy automobile part production facility according to claim 1, wherein the step of obtaining the registered production facility and determining the plant model according to the production facility includes:
generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
inquiring power supply equipment in a workshop environment, and marking power supply nodes containing power supply parameters in the workshop according to the power supply equipment; the power supply parameters comprise rated voltage and rated current;
establishing a connection channel with a record database, inquiring recorded production equipment and operation requirements thereof, and matching power supply nodes corresponding to the production equipment in a workshop model according to the operation requirements and the power supply parameters;
and inserting the power supply node into the workshop model according to the matching result.
3. The method for controlling new energy automobile part production equipment according to claim 1, wherein the step of receiving a product index input by a user, inquiring a production process in a preset production process library according to the product index, and determining the control parameters containing time information of each production equipment according to the production process comprises the following steps:
receiving a product index input by a user, and inquiring a production process corresponding to the product in a recorded production process library according to the product index;
inquiring production equipment, production time and production mode corresponding to each step in the production flow; the production time is in a format from starting time to stopping time;
and counting the production time and the production mode of each production device, and determining the control parameters containing time information of the production device according to the production time and the production mode.
4. The method for controlling the new energy automobile part production equipment according to claim 1, wherein the step of acquiring the working parameters of the production equipment in real time, determining the standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to the comparison result comprises the steps of:
inquiring monitoring nodes in the production equipment, and numbering the monitoring nodes according to the connection relation of each monitoring node;
acquiring monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data;
determining a fluctuation array of the monitoring node according to a fluctuation analysis result; wherein the subscript of the fluctuation array is determined by the order of the time periods, and the value of the fluctuation array is determined by the fluctuation analysis result;
inputting the control parameters into a theoretical model corresponding to production equipment to obtain a standard array;
and inputting the standard array and the fluctuation array into a trained anomaly analysis model to obtain the anomaly level of the production equipment.
5. The control method of the new energy automobile part production equipment according to claim 4, wherein the steps of obtaining monitoring data of each monitoring node according to a preset data queue, intercepting the monitoring data according to a preset time period, and performing fluctuation analysis on the monitoring data comprise:
generating a data queue corresponding to the monitoring node; the same monitoring node corresponds to at least one independent data queue;
sequentially acquiring the data volume and the entry time of a data packet entering a data queue in a preset time period, and generating a characteristic array of the data queue according to the entry time and the data volume;
calculating data updating frequency according to the entry time in the characteristic array;
normalizing the data quantity according to a preset data range, and calculating the number of data in different data ranges;
and inputting the data updating frequency and the data number into a trained fluctuation value generation model to obtain a fluctuation value.
6. The method for controlling equipment for producing new energy automobile parts according to claim 3, wherein the step of inquiring the emergency measures in a preset emergency measure library according to the abnormal level and correcting the control parameters of each production equipment comprises the steps of:
comparing the abnormal level with a preset abnormal threshold, and inquiring substitute equipment in the recorded production equipment when the abnormal level reaches the preset abnormal threshold;
reading the production time and the production mode of the production equipment, determining the control parameters of the substitute equipment according to the production time and the production mode, and recording the equipment replacement time;
and adjusting the time information of the control parameters of all the production equipment according to the equipment replacement time.
7. The control method of the new energy automobile part production equipment according to claim 2, characterized by further comprising:
acquiring current data of all production equipment of the same node in real time, generating a current array, and generating a power supply curve based on the current array;
calculating derivative function curves of the power supply curves, and integrating the derivative function curves of all production equipment into the same power supply image;
determining sampling points according to a preset step length, and sequentially inquiring the values of all derivative function curves at the sampling points; the sampling point is a time point;
and calculating the deviation rate between all the values and the mean value at the same sampling point, adjusting the abnormal value of the production equipment according to the deviation rate, and correcting the abnormal level of the production equipment according to the abnormal value.
8. A control system of new energy automobile part production facility, characterized in that, the system includes:
the workshop model determining module is used for acquiring the filed production equipment and determining a workshop model according to the production equipment;
the control parameter determining module is used for receiving a product index input by a user, inquiring a production flow in a preset production flow library according to the product index, and determining control parameters containing time information of each production device according to the production flow;
the abnormal level determining module is used for acquiring working parameters of the production equipment in real time, determining standard parameters of the production equipment according to the control parameters, comparing the working parameters with the standard parameters, and determining the abnormal level of each production equipment according to a comparison result;
and the control parameter correction module is used for inquiring the emergency measures in a preset emergency measure library according to the abnormal level and correcting the control parameters of each production device.
9. The control system of the new energy automobile part production facility according to claim 8, wherein the plant model determination module comprises:
the model generating unit is used for generating a workshop model which is in a mapping relation with a workshop environment according to a preset scale;
the node determining unit is used for inquiring the power supply equipment in the workshop environment and marking the power supply node containing the power supply parameters in the workshop according to the power supply equipment; the power supply parameters comprise rated voltage and rated current;
the matching unit is used for establishing a connecting channel with the record database, inquiring the recorded production equipment and the operation requirement thereof, and matching power supply nodes corresponding to the production equipment in the workshop model according to the operation requirement and the power supply parameters;
and the node inserting unit is used for inserting the power supply node into the workshop model according to the matching result.
10. The control system of the new energy automobile part production facility according to claim 8, wherein the control parameter determination module includes:
the production process query unit is used for receiving a product index input by a user and querying a production process corresponding to the product in a recorded production process library according to the product index;
the parameter query unit is used for querying the production equipment, the production time and the production mode corresponding to each step in the production flow; the production time is in a format from starting time to stopping time;
and the data statistics unit is used for counting the production time and the production mode of each production device and determining the control parameters containing the time information of the production device according to the production time and the production mode.
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