A method, apparatus, and electronic equipment for assessing product production planning based on peak-valley-flat electricity price differences.

Abstract

This invention discloses a method, apparatus, and electronic device for evaluating product production plans based on peak-valley-flat electricity price differences, belonging to the field of energy consumption calculation and processing technology. The method includes: determining the unit power consumption data for each product based on the power consumption of the material tracking system and the power supply lines of equipment in various areas of the production line; constructing a product power consumption sample library based on the unit power consumption data of each product; calculating the characteristic values ​​of the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product; and evaluating the power consumption of the product production plan during peak-valley-flat periods based on the standard power consumption values ​​for each product to obtain the power consumption evaluation result. The method for evaluating and generating plans provided by this invention relies on statistical analysis of historical production data to evaluate production scheduling plans before or after production activities, which helps to reduce production power consumption.

Description

Technical Field

[0001] This invention relates to the field of energy consumption calculation technology, and in particular to a method, apparatus, and electronic device for assessing product production plans based on peak-valley-flat electricity price differences. Background Technology

[0002] The government has formulated a peak-valley-flat electricity pricing policy for enterprises, encouraging them to use such pricing. How to fully utilize this policy to achieve energy conservation and emission reduction has always been a major concern for businesses.

[0003] Current research on peak-valley electricity pricing includes the article "A Method for Energy-Saving Control of Downhole Drainage Based on Peak-Valley Electricity Pricing," which calculates drainage speed and water level rise rate to reduce total electricity costs by conducting drainage operations in different power consumption segments. However, this method is not suitable for continuous production lines, and since the unit product (drainage) power consumption is essentially the same, it cannot guide production lines with varying unit product power consumption.

[0004] Currently, research on peak, flat, and valley electricity prices mainly focuses on statistics after electricity consumption for production, without evaluating production plans before production, resulting in high electricity costs for enterprises. Summary of the Invention

[0005] The purpose of this invention is to provide a method, apparatus, and electronic device for evaluating production plans based on peak-valley-flat electricity price differences, which can solve the problem in the prior art that the production plan cannot be evaluated and studied before production, resulting in high electricity costs for enterprises.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] This invention provides a method for assessing product production planning based on peak-valley-flat electricity price differences, wherein the method includes:

[0008] Based on the material tracking system and the power consumption of the power supply lines of equipment in various areas of the production line, determine the single-unit power consumption data of each product;

[0009] Based on the unit power consumption data of each product, a product power consumption sample library is constructed;

[0010] Feature values ​​are calculated from the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product; wherein, the power consumption data includes: power consumption and machine-hour output;

[0011] Based on the standard values ​​of power consumption for each product, the power consumption of the product production plan during peak, flat, and valley periods is evaluated to obtain the power consumption evaluation results.

[0012] Optionally, the step of determining the unit power consumption of each product based on the material tracking system and the power supply lines of equipment in various areas of the production line includes:

[0013] Using the product location and number provided by the production line material tracking system, the power supply of the equipment in each area of ​​the production line is allocated to each product according to the area and process of the material.

[0014] For each product, the cumulative electricity consumption of each process in the production of the product is taken as the unit electricity consumption of the product.

[0015] Optionally, the step of constructing a product power consumption sample library based on the unit power consumption of each product includes:

[0016] For each product, the unit power consumption of the product of different specifications is recorded in the power consumption database corresponding to the product;

[0017] Based on preset data selection rules and the start and end times of the sample database, sample data is extracted from the power consumption database;

[0018] The extracted sample data is cleaned to obtain product power consumption data;

[0019] The power consumption and machine-hour output of each product after cleaning are stored in the product power consumption sample library.

[0020] Optionally, the step of cleaning the extracted sample data to obtain product power consumption data includes:

[0021] Calculate the median and upper and lower quartiles of the extracted sample data;

[0022] The upper and lower limits of the sample data are calculated using the upper and lower quartiles.

[0023] Sample data outside the upper and lower limits are treated as outliers and cleaned to obtain product power consumption data.

[0024] Optionally, the step of calculating feature values ​​from the data in the product power consumption sample library to obtain the standard power consumption value for each product includes:

[0025] For each product, the average power consumption of the product in the product power consumption sample library is used as the standard value of the product power consumption;

[0026] The average machine-hour output of the product in the product power consumption sample library is used as the standard value of the machine-hour output of the product.

[0027] Optionally, the step of assessing the power consumption of the product production plan during peak, flat, and valley periods based on the power consumption standard values ​​for each product, and obtaining the power consumption assessment results, includes:

[0028] Obtain the actual production electricity consumption cost, product specifications, and production time, electricity consumption, and downtime for each product on the day;

[0029] Obtain the product's standard hourly output and standard power consumption;

[0030] Calculate the standard machine hour power consumption of each product produced on that day;

[0031] According to the standard energy consumption from highest to lowest, each product is scheduled for the valley, flat and peak time periods in turn, and the downtime is scheduled for the peak period.

[0032] The electricity consumption cost after reordering is calculated and compared with the actual electricity consumption cost corresponding to the product production plan before reordering to determine the electricity consumption assessment result.

[0033] This invention also provides an apparatus for assessing product production plans based on peak-valley-flat electricity price differences, wherein the apparatus includes:

[0034] The first determination module is used to determine the single-unit power consumption data of each product based on the power consumption of the material tracking system and the power supply lines of equipment in various areas of the production line.

[0035] The construction module is used to construct a product power consumption sample library based on the single-unit power consumption data of each product;

[0036] The second determining module is used to calculate feature values ​​of the power consumption data in the product power consumption sample library to obtain the standard value of power consumption for each product; wherein, the power consumption data includes: power consumption and machine-hour output;

[0037] The third determining module is used to evaluate the power consumption of the product production plan during peak, flat, and valley periods based on the power consumption standard values ​​of each product, and obtain the power consumption evaluation result.

[0038] Optionally, the first determining module includes:

[0039] The first submodule is used to allocate the power supply of the equipment power lines in each area of ​​the production line to each product according to the area and process of the material, based on the product location and number provided by the production line material tracking system.

[0040] The second submodule is used to calculate the cumulative electricity consumption of each process in the production of each product as the single-unit electricity consumption of that product.

[0041] Optionally, the building module includes:

[0042] The third submodule is used to record the unit power consumption of the product of different specifications into the power consumption database corresponding to the product for each product.

[0043] The fourth submodule is used to extract sample data from the power consumption database according to preset data selection rules and the start and end times of the sample database data;

[0044] The fifth submodule is used to clean the extracted sample data to obtain product power consumption data;

[0045] The sixth submodule is used to store the product power consumption and machine hour output of each product obtained after cleaning into the product power consumption sample library.

[0046] Optionally, the fifth submodule is specifically used for:

[0047] Calculate the median and upper and lower quartiles of the extracted sample data;

[0048] The upper and lower limits of the sample data are calculated using the upper and lower quartiles.

[0049] Sample data outside the upper and lower limits are treated as outliers and cleaned to obtain product power consumption data.

[0050] Optionally, the second determining module includes:

[0051] The seventh submodule is used to take the average power consumption of the product in the product power consumption sample library as the standard value of the product power consumption for each product.

[0052] The eighth submodule is used to take the average machine-hour output of the product in the product power consumption sample library as the standard value of the machine-hour output of the product.

[0053] Optionally, the third determining module is specifically used for:

[0054] Obtain the actual production electricity consumption cost, product specifications, and production time, electricity consumption, and downtime for each product on the day;

[0055] Obtain the product's standard hourly output and standard power consumption;

[0056] Calculate the standard machine hour power consumption of each product produced on that day;

[0057] According to the standard energy consumption from highest to lowest, each product is scheduled for the valley, flat and peak time periods in turn, and the downtime is scheduled for the peak period.

[0058] The electricity consumption cost after reordering is calculated and compared with the actual electricity consumption cost corresponding to the product production plan before reordering to determine the electricity consumption assessment result.

[0059] This invention provides an electronic device, which includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor. When the program or instructions are executed by the processor, they implement the steps of any of the methods described above for assessing product production plans based on peak-valley-flat electricity price differences.

[0060] This invention provides a readable storage medium storing a program or instructions, which, when executed by a processor, implements the steps of any of the methods described above for assessing product production plans based on peak-valley-flat electricity price differences.

[0061] The method for evaluating product production plans based on peak-valley-flat electricity price differences provided in this invention determines the unit power consumption data for each product based on the material tracking system and the power supply lines of equipment in various areas of the production line. Based on the unit power consumption data for each product, a product power consumption sample library is constructed. Feature values ​​are calculated from the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product. Based on the standard power consumption values ​​for each product, the power consumption of the product production plan during peak-valley-flat periods is evaluated to obtain the power consumption evaluation result. The method for evaluating and generating plans provided in this invention relies on statistical analysis of historical production data to evaluate the production schedule before production activities, which helps to reduce production power consumption. Attached Figure Description

[0062] Figure 1 This is a flowchart illustrating the steps of a method for assessing product production planning based on peak-valley-flat electricity price differences, according to an embodiment of this application.

[0063] Figure 2 This is a structural block diagram illustrating a product production planning device based on peak-valley-flat electricity price difference according to an embodiment of this application;

[0064] Figure 3 This is a structural block diagram illustrating an embodiment of an electronic device according to this application. Detailed Implementation

[0065] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0066] The present invention provides a method for evaluating product production planning based on peak-valley-valley electricity price differences. First, it relies on a product-level electricity consumption accounting system to acquire electricity consumption data for each product. After accumulating product electricity consumption data over a long period, an electricity consumption sample library for different product specifications is established. Based on relevant statistical knowledge, the data in the product sample library is analyzed to derive standard values ​​for product electricity consumption. Using these standard values ​​as a basis, production plans for different electricity price ranges (peak, valley, and plateau) are evaluated to determine the rationality of the production schedule. Early warnings are issued for unreasonable production schedules, thus helping to rationally utilize peak-valley electricity price differences.

[0067] The production planning scheme for the product based on peak-valley-flat electricity price difference assessment provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0068] The product production planning method based on peak-valley-flat electricity price differences in this application includes the following steps:

[0069] Step 101: Based on the material tracking system and the power supply lines of equipment in each area of ​​the production line, determine the single-unit power consumption data for each product.

[0070] The power consumption data includes power consumption and machine-hour output.

[0071] An optional method for determining the unit power consumption of each product based on the material tracking system and the power supply lines of equipment in various areas of the production line can be as follows:

[0072] First, using the product location and number provided by the production line material tracking system, the power supply of the equipment in each area of ​​the production line is allocated to each product according to the area and process of the material.

[0073] Secondly, for each product, the cumulative electricity consumption of each process in the production of the product is taken as the single-unit electricity consumption of that product.

[0074] For example, the production process of a product includes three steps: A, B, and C. To determine the power consumption per unit of the product, it is necessary to determine the power consumption of each step of the product based on the power consumption of the power meters of the equipment in each area of ​​the production line. Then, the power consumption of the three steps A, B, and C is summed to determine the power consumption per unit of the product.

[0075] Step 102: Construct a product power consumption sample library based on the single-unit power consumption data of each product.

[0076] When constructing a product power consumption sample library, the power consumption of different product specifications can be recorded into the product power consumption database of that specification. The product power consumption data can be preprocessed to filter out product data that meets the rules. Finally, the product data that meets the rules can be stored in the product power consumption and machine time output sample library to construct the product power consumption sample library.

[0077] An optional method for constructing a product power consumption sample library based on the unit power consumption of each product may include the following steps:

[0078] Step 1: For each product, record the unit power consumption of different specifications into the corresponding power consumption database;

[0079] One product corresponds to multiple specifications, and the same product with different specifications can be regarded as one product.

[0080] Step 2: Extract sample data from the power consumption database based on the preset data selection rules and the start and end times of the sample database;

[0081] Data selection rules and the start and end times of sample database data can be set by those skilled in the art according to actual needs, and no specific restrictions are imposed on them in this embodiment.

[0082] Step 3: Clean the extracted sample data to obtain product power consumption data;

[0083] After selecting the rules and the start and end times of the sample database, all data under the rules are preprocessed according to the actual situation on site. Outlier calculation methods are used to clean the energy consumption and machine-hour output data in the database.

[0084] An optional method for cleaning the extracted sample data to obtain product power consumption data is as follows: First, calculate the median and upper and lower quartiles of the extracted sample data; second, calculate the upper and lower limits of the sample data based on the upper and lower quartiles; finally, clean the sample data outside the upper and lower limits as outliers to obtain product power consumption data.

[0085] Formula for calculating the lower quartile:

[0086]

[0087] Median calculation formula:

[0088]

[0089] Formula for calculating the upper quartile:

[0090]

[0091] Range calculation formula:

[0092] IQR = Q 上 -Q 下

[0093] Formula for calculating the lower bound:

[0094] Q 下界 =Q下 -1.5 IQR

[0095] Formula for calculating the upper bound:

[0096] Q 上界 =Q 上 +1.5 IQR

[0097] Step 4: Store the product power consumption and machine hour output of each product obtained after cleaning into the product power consumption sample library.

[0098] The product power consumption sample database stores information such as product power consumption, machine hour output data, and product number for various products.

[0099] Step 103: Calculate the characteristic values ​​of the power consumption data in the product power consumption sample library to obtain the standard power consumption value of each product.

[0100] Through verification with actual data, after accumulating a large amount of historical data, the sample distribution of power consumption data for a single product specification approaches a normal distribution. Therefore, the sample mean and mode coincide, and the mean can characterize the features of the sample data. Based on this verification conclusion, the mean is used as the standard value for product power consumption and machine-hour output in the sample database. The formula for calculating the mean is as follows:

[0101]

[0102] Where x is the product power consumption parameter, which is either the product power consumption or the machine hour output.

[0103] An optional method for calculating feature values ​​of data in the product power consumption sample library to obtain the standard value of power consumption for each product is as follows: For each product, the average power consumption of the product corresponding to the product in the product power consumption sample library is used as the standard value of product power consumption;

[0104] The average machine-hour output of the products in the product power consumption sample library is used as the standard value of the product's machine-hour output.

[0105] Step 104: Based on the standard values ​​of power consumption for each product, conduct a power consumption assessment of the product production plan during peak, flat, and valley periods to obtain the power consumption assessment results.

[0106] This step is the production scheduling strategy evaluation process. One optional method is to evaluate the power consumption of the product production plan during peak, off-peak, and valley periods based on the standard power consumption values ​​for each product. The power consumption evaluation results can be obtained in the following ways:

[0107] Sub-step one: Obtain the actual production electricity consumption cost, product specifications, and production time, electricity consumption, and downtime for each product on that day;

[0108] Sub-step two: Obtain the standard machine-hour output and standard power consumption of the product;

[0109] Sub-step three: Calculate the standard machine hour power consumption of each product produced that day;

[0110] W i =ΣE i ·M i

[0111] Among them, W i E represents the standard operating time power consumption of the product. i M represents standard power consumption. i This indicates the standard machine hour output.

[0112] Sub-step four: According to the standard energy consumption from highest to lowest, arrange each product in the valley, flat and peak time periods in sequence, and arrange the downtime in the peak period.

[0113] Producing products according to the reordered production schedule will achieve the theoretically lowest electricity cost.

[0114] Sub-step five involves calculating and comparing the electricity consumption cost after reordering with the actual electricity consumption cost corresponding to the product production plan before reordering, and determining the electricity consumption assessment result.

[0115] The power consumption assessment result can be the ratio of the power consumption cost after reordering to the actual power consumption cost corresponding to the product production plan before reordering. It can also be a power consumption assessment score. The higher the score, the more reasonable the actual production scheduling is.

[0116] The following example illustrates the application of the peak-valley-flat electricity price difference assessment method for product production planning provided in this application to a steel rolling mill's assessment of the electricity consumption cost of its production scheduling strategy. Rolling electricity consumption is the main energy-consuming item at this steel rolling mill. Table 1 below shows the actual electricity consumption cost, the optimal electricity consumption cost after rearrangement, and the score for five consecutive days in October of a certain year:

[0117] Table 1. Peak, Off-Peak, and Valley Electricity Consumption Cost Evaluation Table

[0118]

[0119] Using the example data shown in Table 1 above, production line personnel can clearly understand the gap between the actual production scheduling power consumption cost and the optimal production scheduling power consumption cost.

[0120] Table 2 Standard Machine Time Power Consumption Table for Different Product Specifications

[0121]

[0122] Table 2 shows the standard power consumption per machine hour for some product specifications. Production schedulers can refer to the power consumption per machine hour value to schedule production reasonably, so as to maximize the use of peak, flat and off-peak electricity price differences to reduce electricity costs.

[0123] The method for evaluating product production plans based on peak-valley-flat electricity price differences provided in this application determines the unit power consumption data for each product by using the material tracking system and the power supply lines of equipment in various areas of the production line. Based on the unit power consumption data for each product, a product power consumption sample library is constructed. Feature values ​​are calculated from the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product. Based on the standard power consumption values ​​for each product, the power consumption of the product production plan during peak-valley-flat periods is evaluated to obtain the power consumption evaluation result. The method for evaluating and generating plans provided in this invention relies on statistical analysis of historical production data to evaluate the production schedule before production activities, which helps to reduce production power consumption.

[0124] Figure 2 The structural block diagram of an apparatus for evaluating product production plans based on peak-valley-flat electricity price differences is shown in the embodiment of this application.

[0125] The apparatus for assessing product production planning based on peak-valley-flat electricity price differences in this application includes the following functional modules:

[0126] The first determining module 301 is used to determine the single-unit power consumption data of each product based on the power consumption of the material tracking system and the power supply lines of the equipment in each area of ​​the production line.

[0127] The construction module 302 is used to construct a product power consumption sample library based on the single-unit power consumption data of each product;

[0128] The second determining module 303 is used to calculate the feature value of the power consumption data in the product power consumption sample library to obtain the standard value of power consumption for each product; wherein, the power consumption data includes: power consumption and machine hour output;

[0129] The third determining module 304 is used to evaluate the power consumption of the product production plan during peak, flat and valley periods based on the power consumption standard values ​​of each product, and obtain the power consumption evaluation result.

[0130] Optionally, the first determining module includes:

[0131] The first submodule is used to allocate the power supply of the equipment power lines in each area of ​​the production line to each product according to the area and process of the material, based on the product location and number provided by the production line material tracking system.

[0132] The second submodule is used to calculate the cumulative electricity consumption of each process in the production of each product as the single-unit electricity consumption of that product.

[0133] Optionally, the building module includes:

[0134] The third submodule is used to record the unit power consumption of the product of different specifications into the power consumption database corresponding to the product for each product.

[0135] The fourth submodule is used to extract sample data from the power consumption database according to preset data selection rules and the start and end times of the sample database data;

[0136] The fifth submodule is used to clean the extracted sample data to obtain product power consumption data;

[0137] The sixth submodule is used to store the product power consumption and machine hour output of each product obtained after cleaning into the product power consumption sample library.

[0138] Optionally, the fifth submodule is specifically used for:

[0139] Calculate the median and upper and lower quartiles of the extracted sample data;

[0140] The upper and lower limits of the sample data are calculated using the upper and lower quartiles.

[0141] Sample data outside the upper and lower limits are treated as outliers and cleaned to obtain product power consumption data.

[0142] Optionally, the second determining module includes:

[0143] The seventh submodule is used to take the average power consumption of the product in the product power consumption sample library as the standard value of the product power consumption for each product.

[0144] The eighth submodule is used to take the average machine-hour output of the product in the product power consumption sample library as the standard value of the machine-hour output of the product.

[0145] Optionally, the third determining module is specifically used for:

[0146] Obtain the actual production electricity consumption cost, product specifications, and production time, electricity consumption, and downtime for each product on the day;

[0147] Obtain the product's standard hourly output and standard power consumption;

[0148] Calculate the standard machine hour power consumption of each product produced on that day;

[0149] According to the standard energy consumption from highest to lowest, each product is scheduled for the valley, flat and peak time periods in turn, and the downtime is scheduled for the peak period.

[0150] The electricity consumption cost after reordering is calculated and compared with the actual electricity consumption cost corresponding to the product production plan before reordering to determine the electricity consumption assessment result.

[0151] The device for evaluating product production plans based on peak-valley-flat electricity price differences provided in this application determines the unit power consumption data for each product based on the material tracking system and the power supply lines of equipment in various areas of the production line. Based on the unit power consumption data for each product, a product power consumption sample library is constructed. Feature values ​​are calculated from the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product. Based on the standard power consumption values ​​for each product, the power consumption of the product production plan during peak-valley-flat periods is evaluated to obtain the power consumption evaluation result. The method for evaluating and generating plans provided in this invention relies on statistical analysis of historical production data to evaluate the production schedule before production activities, which helps to reduce production power consumption.

[0152] In the embodiments of this application Figure 2 The apparatus shown for assessing product production plans based on peak-valley-flat electricity price differences can be a device, or it can be a component, integrated circuit, or chip in a server. (This is from an embodiment of the present application.) Figure 2 The device shown for assessing product production plans based on peak-valley-flat electricity price differences can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application does not specifically limit its implementation.

[0153] The embodiments provided in this application Figure 2 The device shown, which assesses product production planning based on peak-valley-flat electricity price differences, can achieve... Figure 1 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0154] Optionally, such as Figure 3 As shown, this application embodiment also provides an electronic device 400, including a processor 401, a memory 402, and a program or instructions stored in the memory 402 and executable on the processor 401. When the program or instructions are executed by the processor 401, they implement the various processes of the above-described method embodiment for evaluating product production plans based on peak-valley-flat electricity price differences and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0155] It should be noted that the electronic device in this application embodiment includes the server described above.

[0156] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described method embodiment for evaluating product production plans based on peak-valley-flat electricity price differences, and can achieve the same technical effect. To avoid repetition, they will not be described again here.

[0157] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0158] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0159] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0160] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0161] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating product production planning based on peak-valley-flat electricity price differences, characterized in that, The method includes: Based on the material tracking system and the power consumption of the power supply lines of equipment in various areas of the production line, determine the single-unit power consumption data of each product; Based on the unit power consumption data of each product, a product power consumption sample library is constructed; Feature values ​​are calculated from the power consumption data in the product power consumption sample library to obtain the standard power consumption value for each product; wherein, the power consumption data includes: power consumption and machine-hour output; Based on the power consumption standard values ​​for each product, the power consumption of the product production plan during peak, flat, and valley periods is assessed to obtain the power consumption assessment results, which specifically include: Obtain the actual production electricity consumption cost, product specifications, and production time, electricity consumption, and downtime for each product on the day; Obtain the product's standard hourly output and standard power consumption; Calculate the standard machine hour power consumption of each product produced on that day; According to the standard energy consumption from highest to lowest, each product is scheduled for the valley, flat and peak time periods in turn, and the downtime is scheduled for the peak period. The electricity consumption cost after reordering is calculated and compared with the actual electricity consumption cost corresponding to the product production plan before reordering to determine the electricity consumption assessment result.

2. The method according to claim 1, characterized in that, The steps for determining the unit power consumption of each product based on the material tracking system and the power supply lines of equipment in various areas of the production line include: Using the product location and number provided by the production line material tracking system, the power supply of the equipment in each area of ​​the production line is allocated to each product according to the area and process of the material. For each product, the cumulative electricity consumption of each process in the production of the product is taken as the unit electricity consumption of the product.

3. The method according to claim 1, characterized in that, The steps for constructing a product power consumption sample library based on the unit power consumption of each product include: For each product, the unit power consumption of the product of different specifications is recorded in the power consumption database corresponding to the product; Based on preset data selection rules and the start and end times of the sample database, sample data is extracted from the power consumption database; The extracted sample data is cleaned to obtain product power consumption data; The power consumption and machine-hour output of each product after cleaning are stored in the product power consumption sample library.

4. The method according to claim 3, characterized in that, The step of cleaning the extracted sample data to obtain product power consumption data includes: Calculate the median and upper and lower quartiles of the extracted sample data; The upper and lower limits of the sample data are calculated using the upper and lower quartiles. Sample data outside the upper and lower limits are treated as outliers and cleaned to obtain product power consumption data.

5. The method according to claim 1, characterized in that, The steps of calculating feature values ​​from the data in the product power consumption sample library to obtain the standard power consumption value for each product include: For each product, the average power consumption of the product in the product power consumption sample library is used as the standard value of the product power consumption; The average machine-hour output of the product in the product power consumption sample library is used as the standard value of the machine-hour output of the product.

6. An apparatus for evaluating product production plans based on peak-valley-flat electricity price differences, used to implement the method according to any one of claims 1-5, characterized in that, The device includes: The first determination module is used to determine the single-unit power consumption data of each product based on the power consumption of the material tracking system and the power supply lines of equipment in various areas of the production line. The construction module is used to construct a product power consumption sample library based on the single-unit power consumption data of each product; The second determining module is used to calculate feature values ​​of the power consumption data in the product power consumption sample library to obtain the standard value of power consumption for each product; wherein, the power consumption data includes: power consumption and machine-hour output; The third determining module is used to evaluate the power consumption of the product production plan during peak, flat, and valley periods based on the power consumption standard values ​​of each product, and obtain the power consumption evaluation results.

7. The apparatus according to claim 6, characterized in that, The first determining module includes: The first submodule is used to allocate the power supply of the equipment power lines in each area of ​​the production line to each product according to the area and process of the material, based on the product location and number provided by the production line material tracking system. The second submodule is used to calculate the cumulative electricity consumption of each process in the production of each product as the single-unit electricity consumption of that product.

8. The apparatus according to claim 6, characterized in that, The building module includes: The third submodule is used to record the unit power consumption of the product of different specifications into the power consumption database corresponding to the product for each product. The fourth submodule is used to extract sample data from the power consumption database according to preset data selection rules and the start and end times of the sample database data; The fifth submodule is used to clean the extracted sample data to obtain product power consumption data; The sixth submodule is used to store the product power consumption and machine hour output of each product obtained after cleaning into the product power consumption sample library.

9. An electronic device comprising a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method for assessing product production planning based on peak-valley-flat electricity price differences as described in any one of claims 1-5.

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