Switch cabinet copper bar processing system and method

Abstract

The invention belongs to the technical field of copper bar processing, and particularly relates to a switch cabinet copper bar processing system and a switch cabinet copper bar processing method. Production calling trend data filled in a real-time time window is compared with historical production calling trend data through a mode of constructing the real-time time window and a prediction time window; extracting data of a time period corresponding to a prediction time window from historical data according to a comparison result, judging whether temporary processing information exists or not after judging whether product information is consistent, if so, inserting the temporary processing information into the prediction time window, and after insertion is completed, enabling a user to compare with a raw material inventory through an inspection module; and if the information is consistent with the actually received temporary processing notification, the temporary processing information is reserved, and if the information is inconsistent, the temporary processing information is revoked, so that the real situation is met. The problem that an existing copper bar machining system lacks intelligent management and machining optimization can be solved.

Description

Technical Field

[0001] The invention belongs to the technical field of copper busbar processing, and in particular relates to a switch cabinet copper busbar processing system and method. Background Art

[0002] Copper busbars, as an important electrical material, play a vital role in the field of power transmission and distribution. Copper is widely used to build current-carrying frames and connectors in high-voltage and low-voltage electrical equipment due to its excellent conductivity, corrosion resistance and good mechanical properties, especially in key power equipment such as switchgear, transformers, bus ducts, generators, etc. The processing accuracy of copper busbars directly affects the safe operation and energy efficiency performance of the power system, so its processing and manufacturing technology has always been a key research direction in the power equipment manufacturing industry.

[0003] In view of the current complex and ever-changing market demand and production environment, how to realize the intelligent and efficient processing process has become a bottleneck restricting the development of the industry; specifically, in the current switch cabinet copper busbar processing industry, the traditional processing system mainly relies on manual input of order information and manual adjustment of processing parameters. This model seems to be unable to cope with the rapidly changing market demand. In particular, for the processing of temporary orders and the management of raw material inventory, experienced operators are often required to make judgments based on historical data and current inventory status and manually adjust production plans. This model that relies on manual experience and immediate response is not only inefficient, but also prone to wrong decisions due to human factors, which increases the operating costs of enterprises and limits the flexible expansion of production scale. Therefore, the development of a copper busbar processing system that can autonomously learn, predict and respond in advance has become an urgent need in the industry. Summary of the invention

[0004] The technical problem solved by the present invention is to provide a switch cabinet copper busbar processing system and method to solve the problem that the current copper busbar processing system lacks intelligent management and processing optimization.

[0005] The basic solution provided by the present invention is a switch cabinet copper bar processing system, comprising:

[0006] Data acquisition module, used to collect copper busbar processing information and call information in real time;

[0007] A data storage module, used to store historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper busbar during processing;

[0008] The prediction and analysis module extracts the historical processing information and historical call information of the copper busbar stored in the data storage module, and generates the historical production call trend data of the copper busbar according to the time series;

[0009] The prediction analysis module also presets real-time time windows and prediction time windows;

[0010] The prediction analysis module is also used to fill the processing information and call information of the copper busbar collected in real time into the real-time time window, and fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series;

[0011] After the real-time time window is filled, the processing information and call information are converted into actual production call trend data in real time, and fitted and compared with the historical production call trend data; if the fitting comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment;

[0012] The inspection module is used to inspect the raw material inventory information of the copper bar stored in the data storage module after the temporary copper bar processing program is generated. If the raw material inventory information of the copper bar meets the raw materials required for the temporary copper bar processing, the inspection is passed and transmitted to the user for confirmation;

[0013] The visualization module is used to receive the inspection results and display them visually.

[0014] Furthermore, the data acquisition module includes a processing recording unit and an order acquisition unit. The processing recording unit is used to record the copper busbar processing and production information according to the processing timeline; the order acquisition unit is used to obtain the order information, extract the copper busbar call information in the order information, and insert it into the copper busbar processing and production information according to the time node in the order information.

[0015] Furthermore, the prediction and analysis module includes a historical trend calculation unit, which calculates the historical copper bar processing production information recorded according to the processing timeline and the copper bar call information recorded in the corresponding processing timeline to generate historical production call trend data.

[0016] Furthermore, the prediction and analysis module further includes a time window division unit, a filling unit, an updating unit, a comparison unit and an analysis and judgment unit, wherein:

[0017] The time window division unit is used to divide the real-time time window and the prediction time window according to the copper busbar processing cycle within the preset time range, and the input data boundary of the real-time time window corresponds to the output data boundary of the prediction time window;

[0018] The filling unit is used to fill the processing information and call information of the copper busbar collected in real time into the real-time time window, and fill the pre-processing information and pre-call information into the prediction time window;

[0019] The comparison unit is used to convert the processing information and call information in the real-time time window into real-time production call trend data, and perform fitting comparison with the historical production call trend data;

[0020] The analysis and judgment unit is used for, if the fitting comparison result satisfies the preset error threshold, calling up the historical production call trend data corresponding to the time range of the prediction time window in the processing timeline on the historical production call trend data, judging whether there is temporary copper bar processing information, if so, calling up the temporary copper bar processing information, and checking whether the copper bar type in the pre-processing information and the call information in the prediction time window is consistent, if consistent, generating a temporary copper bar processing program, and inserting it into the pre-processing program in the pre-processing information in the prediction time window;

[0021] The updating unit is used to fill and update the real-time window with data according to the progress of the processing timeline after the production call trend data comparison within the real-time window is completed. The updated real-time window is processed again by the comparing unit and the analyzing and judging unit.

[0022] Furthermore, the updating unit is also used to receive urgent processing information and urgent calling information, and update the pre-processing information and pre-calling information in the prediction time window according to the urgent processing information and the urgent calling information.

[0023] A switch cabinet copper bar processing method, applied to the above switch cabinet copper bar processing system, comprises:

[0024] S1: collect the processing information and call information of the copper bar in real time; and store the historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper bar during the copper bar processing;

[0025] S2: extracting the historical processing information and historical call information of the copper busbar stored in the data storage module, and generating the historical production call trend data of the copper busbar according to the time series;

[0026] S3: Preset the real-time time window and the prediction time window; fill the processing information and call information of the copper busbar collected in real time into the real-time time window, fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series;

[0027] S4: After the real-time time window is filled, the processing information and the call information are converted into actual production call trend data in real time, and fitted and compared with the historical production call trend data; if the fitting and comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment;

[0028] S5: After the temporary copper busbar processing program is generated, the raw material inventory information of the copper busbar stored in the data storage module is checked. If the raw material inventory information of the copper busbar meets the raw materials required for the temporary copper busbar processing, the inspection is passed and transmitted to the user for confirmation and visualized.

[0029] The principles and advantages of the present invention are as follows: In the present invention, for the problem that the existing copper busbar processing system cannot effectively predict the processing of temporary orders, the present application constructs a real-time time window and a prediction time window to compare the production call trend data filled in the real-time time window with the historical production call trend data, and extracts the data of the time period corresponding to the prediction time window from the historical data according to the comparison result. After judging whether the product information is consistent, it is judged whether there is temporary processing information. If so, it is inserted into the prediction time window. After the insertion is completed, the inspection module is used for the user to compare with the raw material inventory and the actual temporary processing notification received. If they are consistent, the temporary processing information is retained, and if they are inconsistent, they are revoked, so as to meet the actual situation.

[0030] Therefore, the present invention can intelligently manage and process the current copper busbar processing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a functional block diagram of an embodiment of the present invention;

[0032] Figure 2 The figure is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following is further described in detail through specific implementation methods:

[0034] The embodiment is basically as shown in the attached Figure 1As shown: a switch cabinet copper busbar processing system, including a data acquisition module, a data storage module, a prediction and analysis module, a test module and a visualization module, wherein the data acquisition module is used to collect processing information and call information of the copper busbar in real time. Specifically, the present application produces the copper busbar according to the on-site switch cabinet installation requirements or customer order requirements. When the switch cabinet is installed on-site, the current conventional copper busbar production method is to determine the production volume of the copper busbar according to the copper busbar BOM table in the switch cabinet design drawing. However, during the actual installation of the switch cabinet, the usage of the copper busbar exceeds its production volume. The reasons include loss, unreasonable design, and adjustment of the copper busbar installation. At this time, it is required to temporarily increase the production of the copper busbar, thereby bringing about temporary processing of the copper busbar processing production line; and after doing so, in the subsequent verification process, it is easy to have untimely records and missing data.

[0035] In this regard, in order to solve the above-mentioned problems, in this embodiment, the data acquisition module is composed of a processing recording unit and an order acquisition unit. The processing recording unit is used to record the copper bar processing and production information according to the processing timeline, that is, it records the entire processing information on the copper bar processing production line, from the start of copper bar production to material cutting; and the production requirements entered into the processing system are collectively referred to as order information in this application. Therefore, the order information is obtained through the order acquisition unit, and the copper bar call information in the order information is extracted, and inserted into the copper bar processing and production information according to the time node in the order information; specifically, the copper bar processing program entered into the processing system in this application includes information such as copper bar model, switch cabinet model, quantity, date, etc. This information is used as order information in this application, and the quantity of copper bars required in the order information is the call information; as for the obtained copper bar model, switch cabinet model, etc., they are used for approval in the subsequent comparison, analysis and judgment process to ensure comparison, analysis and judgment between copper bars of the same type.

[0036] The data storage module is used to store historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper busbar during the copper busbar processing process. Specifically, the data storage module in the present application stores the entire process information of the copper busbar from placing an order to processing and then to calling, which is convenient for subsequent analysis of its historical production call trend; and before the arrival of future orders, its pre-processing and pre-call information is recorded to prepare for the next copper busbar processing cycle after the end of the current copper busbar processing cycle and to insert temporary copper busbar processing requirements; and the raw material inventory information of the copper busbar in stock is stored to ensure that the raw material inventory of the copper busbar is sufficient before the arrival of future order information.

[0037] The prediction and analysis module is used to extract the historical processing information and historical call information of the copper bar processing stored in the data storage module, and generate the historical production call trend data of the copper bar according to the time series. Specifically, the prediction and analysis module includes a historical trend calculation unit, which calculates the historical copper bar processing and production information recorded according to the processing timeline and the call information of the copper bar recorded in the corresponding processing timeline to generate the historical production call trend data. The specific calculation process is to use the processing timeline as the horizontal coordinate, the processing and production information and the call information as the vertical coordinates, and fit the two to obtain an error result, which represents the historical production call trend data.

[0038] The prediction analysis module also presets a real-time time window and a prediction time window. Specifically, the prediction analysis module is also used to fill the processing information and call information of the copper busbar collected in real time into the real-time time window, and fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series;

[0039] At the same time, after the real-time time window is filled, the prediction analysis module converts the processing information and call information into actual production call trend data in real time, and performs fitting comparison with the historical production call trend data; if the fitting comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment;

[0040] In this embodiment, the prediction and analysis module is composed of a time window division unit, a filling unit, an updating unit, a comparison unit, and an analysis and judgment unit, wherein:

[0041] The time window division unit is used to divide the real-time time window and the prediction time window according to the copper busbar processing cycle within the preset time range, and the input data boundary of the real-time time window corresponds to the output data boundary of the prediction time window; specifically, the real-time time window gradually records the real-time processing information and call information of the copper busbar according to the time schedule, and the prediction time window is the pre-processing information and pre-calling information of the copper busbar in the future time period. In the conventional processing flow, if the pre-processing information and pre-calling information in the prediction time window do not change, the processing information and call information output in the prediction time window are real and valid. Therefore, the output boundary of the prediction time window corresponds to the input boundary of the real-time time window, which is in line with the theoretical production situation;

[0042] However, in the actual production process, the pre-processing information and pre-calling information in the prediction time window will change, for example, temporary copper bar processing is inserted, or the copper bar is temporarily called for reduction, etc., which does not match the preset processing information and call information. Then the data output in the prediction time window does not correspond to the actual situation. In this regard, the present application solves this problem through predictive analysis;

[0043] In the prediction process, after the real-time window is filled by the filling unit, the data in the real-time window is converted into a real-time production call trend. The calculation process is the same as that of the historical production call trend data. Then the real-time production call trend is compared with the historical production call trend data. The data of the same production call trend can be found in the historical production call trend. As long as the fitting process does not exceed the preset error threshold, after the fitting production call trend data segment is found, check whether the copper busbar model produced is always consistent, whether the switch cabinet model is always consistent, and whether the production cycle is always consistent in the production call trend corresponding to the time period of the prediction time window. If they are consistent, it means that the fitted production call trend data segment meets the requirements, otherwise find the next fitted production call trend data segment; for the production call trend data segment that meets the requirements, analyze whether there is temporary copper busbar processing information in the production call trend corresponding to the prediction time window. If so, it means that there is a situation where there is not enough copper busbar on site and temporary processing is required. Therefore, the temporary processing information of the copper busbar is inserted into the corresponding node in the prediction time window that is in the processing process, then the data comparison in the real-time time window is completed, and then it is updated through the update unit, and the real-time processing information and call information of the next cycle are filled into the real-time time window for prediction analysis.

[0044] Therefore, the scheme of the present application can predict whether there is temporary copper busbar processing information inserted in the future copper busbar processing information and call information in the prediction time window; at the same time, for urgent processing information and call information, the update unit can also update the pre-processing information and pre-call information in the prediction time window according to the urgent processing information and urgent call information.

[0045] The inspection module is used to inspect the raw material inventory information of the copper bar stored in the data storage module after the temporary copper bar processing program is generated. If the raw material inventory information of the copper bar meets the raw materials required for the temporary copper bar processing, the inspection is passed and transmitted to the user for confirmation;

[0046] The visualization module is used to receive the inspection results and display them visually.

[0047] In this embodiment, the inspection module enables the operating user to check whether the inserted temporary processing is feasible. For example, the operating user compares it with the received temporary processing notification. If the comparison is successful, it means that the predicted temporary processing meets the actual demand. If the comparison is unsuccessful, if the temporary processing notification is not received half an hour before the temporary processing arrives, the temporary processing is canceled; in addition, it is also necessary to compare with the copper busbar raw material inventory stored in the data storage module. If the inventory is insufficient, it is necessary to notify the replenishment of the inventory in time; at the same time, the above information is provided to the user for viewing and inspection through the visual module.

[0048] like Figure 2 As shown, in another embodiment of the present embodiment, a switch cabinet copper bar processing method is also included, which is applied to the above-mentioned switch cabinet copper bar processing system, including:

[0049] S1: collect the processing information and call information of the copper bar in real time; and store the historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper bar during the copper bar processing;

[0050] S2: extracting the historical processing information and historical call information of the copper busbar stored in the data storage module, and generating the historical production call trend data of the copper busbar according to the time series;

[0051] S3: Preset the real-time time window and the prediction time window; fill the processing information and call information of the copper busbar collected in real time into the real-time time window, fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series;

[0052] S4: After the real-time time window is filled, the processing information and the call information are converted into actual production call trend data in real time, and fitted and compared with the historical production call trend data; if the fitting and comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment;

[0053] S5: After the temporary copper busbar processing program is generated, the raw material inventory information of the copper busbar stored in the data storage module is checked. If the raw material inventory information of the copper busbar meets the raw materials required for the temporary copper busbar processing, the inspection is passed and transmitted to the user for confirmation and visualized.

[0054] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A switch cabinet copper bar processing system, Features: include: Data acquisition module, used to collect copper busbar processing information and call information in real time; A data storage module, used to store historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper busbar during processing; The prediction and analysis module extracts the historical processing information and historical call information of the copper busbar stored in the data storage module, and generates the historical production call trend data of the copper busbar according to the time series; The prediction analysis module also presets real-time time windows and prediction time windows; The prediction analysis module is also used to fill the processing information and call information of the copper busbar collected in real time into the real-time time window, and fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series; After the real-time time window is filled, the processing information and call information are converted into actual production call trend data in real time, and fitted and compared with the historical production call trend data; if the fitting comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment; The inspection module is used to inspect the raw material inventory information of the copper bar stored in the data storage module after the temporary copper bar processing program is generated. If the raw material inventory information of the copper bar meets the raw materials required for the temporary copper bar processing, the inspection is passed and transmitted to the user for confirmation; The visualization module is used to receive the inspection results and display them visually.

2. A switch cabinet copper busbar processing system according to claim 1, Features: The data acquisition module includes a processing recording unit and an order acquisition unit. The processing recording unit is used to record the copper busbar processing and production information according to the processing timeline. The order acquisition unit is used to obtain order information, extract the copper busbar call information in the order information, and insert it into the copper busbar processing and production information according to the time node in the order information.

3. A switch cabinet copper bar processing system according to claim 2, Features: The prediction and analysis module includes a historical trend calculation unit, which calculates the historical copper bar processing production information recorded according to the processing timeline and the copper bar call information recorded in the corresponding processing timeline to generate historical production call trend data.

4. A switch cabinet copper bar processing system according to claim 3, Features: The prediction and analysis module also includes a time window division unit, a filling unit, an updating unit, a comparison unit and an analysis and judgment unit, wherein: The time window division unit is used to divide the real-time time window and the prediction time window according to the copper busbar processing cycle within the preset time range, and the input data boundary of the real-time time window corresponds to the output data boundary of the prediction time window; The filling unit is used to fill the processing information and call information of the copper bar collected in real time into the real-time time window, and fill the pre-processing information and pre-call information into the prediction time window; The comparison unit is used to convert the processing information and call information in the real-time time window into real-time production call trend data, and perform fitting comparison with the historical production call trend data; The analysis and judgment unit is used for, if the fitting comparison result satisfies the preset error threshold, calling up the historical production call trend data corresponding to the time range of the prediction time window in the processing timeline on the historical production call trend data, judging whether there is temporary copper bar processing information, if so, calling up the temporary copper bar processing information, and checking whether the copper bar type in the pre-processing information and the call information in the prediction time window is consistent, if consistent, generating a temporary copper bar processing program, and inserting it into the pre-processing program in the pre-processing information in the prediction time window; The updating unit is used to fill and update the real-time window with data according to the progress of the processing timeline after the production call trend data comparison within the real-time window is completed. The updated real-time window is processed again by the comparing unit and the analyzing and judging unit.

5. A switch cabinet copper busbar processing system according to claim 4, Features: The updating unit is further used to receive the urgent processing information and the urgent calling information, and to update the pre-processing information and the pre-calling information in the prediction time window according to the urgent processing information and the urgent calling information.

6. A switch cabinet copper bar processing method, applied to a switch cabinet copper bar processing system according to any one of claims 1 to 5, Features: include: S1: Real-time collection of copper busbar processing information and call information; And store historical processing information, historical call information, pre-processing information, pre-call information and raw material inventory information of the copper busbar during processing; S2: extracting the historical processing information and historical call information of the copper busbar stored in the data storage module, and generating the historical production call trend data of the copper busbar according to the time series; S3: Preset the real-time time window and the prediction time window; fill the processing information and call information of the copper busbar collected in real time into the real-time time window, fill the pre-processing information and pre-call information into the prediction time window, and the real-time time window and the prediction time window are updated with the processing time series; S4: After the real-time time window is filled, the processing information and the call information are converted into actual production call trend data in real time, and fitted and compared with the historical production call trend data; if the fitting and comparison result is within the preset error threshold, it is determined whether there is temporary copper bar processing information in the historical production call trend data within the time range of the corresponding prediction time window. If so, a temporary copper bar processing program is inserted at the corresponding time node of the prediction time window after a preliminary judgment; S5: After the temporary copper busbar processing program is generated, the raw material inventory information of the copper busbar stored in the data storage module is checked. If the raw material inventory information of the copper busbar meets the raw materials required for the temporary copper busbar processing, the inspection is passed and transmitted to the user for confirmation and visualized.

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