Method and system for predicting energy consumption index of manufacturing enterprise, and electronic equipment

Abstract

The invention provides a method and system for predicting an energy consumption index of a manufacturing enterprise and electronic equipment, and the method comprises the steps: dividing an energy consumption boundary through an energy consumption unit according to the energy consumption property of each energy consumption system contained in the energy consumption unit, and then dividing the energy consumption unit into at least one energy consumption unit, calculating an energy consumption reference and a predicted energy consumption amount of each energy consumption unit by adopting different methods according to the energy consumption property of each energy consumption unit, and further calculating a unit product predicted energy consumption index and a unit product energy consumption reference of the energy consumption unit; whether an energy-saving measure is taken or not is judged according to a judgment result by judging whether a unit product predicted energy consumption index of an energy consumption unit is larger than or equal to a unit product energy consumption standard or not until the unit product predicted energy consumption index is smaller than the unit product energy consumption standard. Furthermore, the energy consumption of the unit product of the energy consumption unit can be continuously reduced year by year, and the purposes of energy conservation, consumption reduction and sustainable development are achieved.

Description

Technical Field

[0001] The present invention relates to the field of energy management of manufacturing enterprises, and in particular to a method and system for predicting energy consumption indicators of manufacturing enterprises, and electronic equipment. Background Art

[0003] Energy-consuming units generally set energy consumption targets on a cyclical basis, including daily, weekly, monthly, and annual cycles. However, there is a large deviation between the forecast of energy consumption indicators and the actual energy consumption, which is not conducive to enterprises taking effective energy-saving measures in advance to reduce energy consumption. Therefore, product energy consumption limits and energy savings cannot be effectively controlled. Relatively accurate forecasts of energy consumption indicators can provide enterprises with business decisions, but the existing technology lacks methods that can effectively predict the energy consumption indicators of manufacturing enterprises, so that the energy consumption of enterprise products can continue to decrease year by year, achieving the goal of energy conservation and consumption reduction and sustainable development.

[0004] Therefore, the prior art needs to be further developed. Summary of the invention

[0005] The purpose of the present invention is to overcome the above technical deficiencies and provide a method and system and electronic equipment for predicting energy consumption indicators of manufacturing enterprises to solve the problems existing in the prior art.

[0006] To achieve the above technical objectives, according to a first aspect of the present invention, the present invention provides a method for predicting energy consumption indicators of a manufacturing enterprise, comprising:

[0007] S100, the energy-consuming unit divides the energy-consuming boundary according to the energy-consuming properties of each energy-consuming system contained therein, and then divides the energy-consuming unit into at least one energy-consuming unit, and obtains the energy consumption data of each energy-consuming unit in the past first preset time period, the product output of the energy-consuming unit in the past first preset time period, and the product output plan in the future first preset time period;

[0008] S200, using the energy consumption data of each energy consuming unit in the past first preset time period, respectively calculating the energy consumption benchmark and predicted energy consumption of each energy consuming unit according to the energy consumption properties of each energy consuming unit, and then calculating the total predicted energy consumption of the energy consuming unit;

[0009] S300, respectively calculating the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determining whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determining whether to take energy-saving measures based on the determination result.

[0010] Specifically, the energy consumption data of each energy-consuming unit in the past first preset time period is used to calculate the energy consumption benchmark of each energy-consuming unit and predict the energy consumption amount according to the energy consumption properties of each energy-consuming unit, including:

[0011] The predicted energy consumption of each energy-consuming unit = the energy consumption benchmark of each energy-consuming unit + the newly installed capacity of each energy-consuming unit - the energy saving of each energy-consuming unit.

[0012] Specifically, the calculation of the total predicted energy consumption of the energy-consuming unit includes:

[0013] Total predicted energy consumption of energy-consuming units = ∑ predicted energy consumption of each energy-consuming unit;

[0014] The energy consumption unit at least includes the energy loss of the energy consumption unit;

[0015] The energy loss of the energy-consuming unit is the loss or measurement error caused by the energy during the transportation and measurement process.

[0016] Specifically, the calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit includes:

[0017] The calculation method of the unit product forecast energy consumption index e of the energy-consuming unit is:

[0018]

[0019] Where E is the total predicted energy consumption of the energy-consuming unit, and Q is the product output plan of the energy-consuming unit in the first preset time period in the future;

[0020] Specifically, the calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit respectively further includes:

[0021] The calculation method of the unit product energy consumption benchmark e0 of the energy-consuming unit is:

[0022]

[0023] Among them, E0 is the energy consumption data of the energy-consuming unit in the past first preset time period, and Q0 is the product output of the energy-consuming unit in the past first preset time period.

[0024] Specifically, the step of judging whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and judging whether to take energy-saving measures according to the judgment result, includes:

[0025] If the predicted energy consumption index per unit product of an energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit shall take energy-saving measures to control energy consumption.

[0026] Specifically, if the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit takes energy-saving measures to control energy consumption, including:

[0027] After the energy-consuming unit takes energy-saving measures, the predicted energy consumption index per unit product of the energy-consuming unit is calculated again, and it is determined whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, until the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product.

[0028] Specifically, the determining whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determining whether to take energy-saving measures according to the determination result, further includes:

[0029] If the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product, the energy-consuming unit shall not take energy-saving measures to control energy consumption, and the calculated predicted energy consumption index per unit product shall be used as the energy consumption index per unit product of the energy-consuming unit in the first preset time period in the future.

[0030] According to a second aspect of the present invention, there is provided a system for predicting energy consumption indicators of a manufacturing enterprise, comprising:

[0031] Acquisition module: The energy-consuming unit divides the energy-consuming boundary according to the energy-consuming properties of each energy-consuming system it contains, and then divides the energy-consuming unit into at least one energy-consuming unit, and obtains the energy consumption data of each energy-consuming unit in the past first preset time period, the product output of the energy-consuming unit in the past first preset time period, and the product output plan in the future first preset time period;

[0032] Control module: used to utilize the energy consumption data of each energy-consuming unit in the first preset time period in the past, calculate the energy consumption benchmark and predicted energy consumption of each energy-consuming unit according to the energy consumption characteristics of each energy-consuming unit, and then calculate the total predicted energy consumption of the energy-consuming unit; or used to calculate the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determine whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determine whether to take energy-saving measures based on the judgment result.

[0033] According to a third aspect of the present invention, there is provided an electronic device, comprising: a memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method for predicting energy consumption indicators of a manufacturing enterprise is implemented.

[0034] Beneficial effects:

[0035] The present invention divides the energy consumption boundary of the energy-consuming unit according to the energy consumption properties of the energy-consuming systems contained therein, and then divides the energy-consuming unit into at least one energy-consuming unit, and adopts different methods to calculate the energy consumption benchmark and predicted energy consumption of each energy-consuming unit according to the energy consumption properties of each energy-consuming unit, and then calculates the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit. The energy consumption index of each energy-consuming unit can be calculated more realistically according to the energy consumption characteristics of each energy-consuming unit, and then the historical energy consumption trend of different energy-consuming units can be reflected, which greatly improves the accuracy of energy consumption index prediction, and when the actual index reaches an abnormality, the energy consumption anomaly can be found by boundary analysis, and corresponding energy-saving measures can be taken. By judging whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, it is determined whether to take energy-saving measures according to the judgment result, until the predicted energy consumption index per unit product is less than the energy consumption benchmark per unit product, which further ensures that the energy consumption per unit product of the energy-consuming unit can be continuously reduced year by year, so as to achieve the purpose of energy saving and consumption reduction and sustainable development, and greatly improves the intelligence, availability and reliability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a method for predicting energy consumption indicators of a manufacturing enterprise provided in a specific embodiment of the present invention;

[0037] Figure 2 It is a schematic diagram of the system composition for predicting the energy consumption index of a manufacturing enterprise provided in a specific embodiment of the present invention;

[0038] Figure 3 It is a schematic diagram of the division of energy consumption units when the energy consumption unit product is single or the manufacturing process is relatively simple provided in a specific embodiment of the present invention;

[0039] Figure 4 It is a schematic diagram of the division of energy-consuming units when the energy-consuming unit products are diverse or the manufacturing process is complex in a specific embodiment of the present invention;

[0040] Figure 5 It is a schematic diagram of the achievement of the predicted energy consumption index and actual index of a certain energy-consuming unit in 2023 provided in a specific implementation manner of the present invention. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by ordinary technicians in this field without making creative work should all fall within the scope of protection of this application. In addition, the directional words mentioned in the following embodiments, such as "up", "down", "left", "right", etc., are only reference to the directions of the accompanying drawings. Therefore, the directional words used are used to illustrate rather than limit the invention.

[0042] The present invention will be further described below in conjunction with the accompanying drawings and preferred embodiments.

[0043] See also Figure 1 This embodiment provides a method for predicting energy consumption indicators of a manufacturing enterprise, including:

[0044] S100, the energy-consuming unit divides the energy-consuming boundary according to the energy-consuming properties of each energy-consuming system contained therein, and then divides the energy-consuming unit into at least one energy-consuming unit, and obtains the energy consumption data of each energy-consuming unit in the past first preset time period, the product output of the energy-consuming unit in the past first preset time period, and the product output plan in the future first preset time period;

[0045] It should be noted here that a first preset time period is pre-set before step S100, and the present invention does not limit the specific value of the first preset time period, as long as the method for predicting the energy consumption index of a manufacturing enterprise proposed by the present invention can be applied.

[0046] Preferably, the present invention sets the first preset time period to 12 months. The above setting is in line with the rule that energy-consuming units generally formulate energy consumption indicators on a periodic basis, further improving the accuracy and reliability of the data energy consumption source, and can more accurately predict the energy consumption of energy-consuming units in the next period, thereby providing business decisions for energy-consuming units and ensuring the achievement of energy-saving goals.

[0047] It is understandable that the energy-consuming unit usually refers to an energy-consuming entity with an energy consumption boundary. It can be an enterprise, factory, building or any other organization or facility that consumes energy, as well as a department with energy consumption within the enterprise, etc. The energy-consuming system refers to the energy system used for production activities within the energy-consuming unit. These systems are responsible for providing the necessary energy to drive the production process and maintain the operation of the energy-consuming unit. Usually, the energy-consuming system within a manufacturing enterprise includes a production system, an auxiliary system, and ancillary production systems. The energy-consuming unit needs to divide the energy consumption boundary according to the energy consumption properties of the energy-consuming systems it contains, and then divide the energy-consuming unit into at least one energy-consuming unit to ensure that there is no duplication of energy consumption properties within each energy-consuming unit. In this way, the energy-consuming unit can more effectively monitor and manage its energy consumption, and then identify energy-saving potential. Specifically, the division of energy-consuming units should follow the following principles:

[0048] (1) Each energy-consuming unit has clear physical or logical boundaries to facilitate the distinction of energy consumption in different areas or systems;

[0049] (2) Each energy-consuming unit should be independent, that is, the energy input and output of each energy-consuming unit should not be mixed with other systems;

[0050] (3) Each energy consumption unit should include all relevant energy consumption points to ensure that no factors that may affect the energy consumption assessment are omitted;

[0051] (4) Once the energy consumption unit is determined, it should not be changed during the collection of historical energy consumption data and subsequent energy consumption statistics and forecasts;

[0052] (5) The energy consumption within each energy-consuming unit should be measurable to facilitate quantitative analysis and management.

[0053] It should be further explained that the present invention sets the first preset time period to 12 months, and the energy-consuming units need to collect historical data according to the divided energy-consuming units, specifically including the energy consumption data and product output of each energy-consuming unit in the past 12 months, and the product output plan of the energy-consuming unit in the next 12 months, for example, the product output and energy consumption of the 12 months of the previous year, and the production plan for each month of the 12 months of the next year, to facilitate the subsequent prediction of the unit product energy consumption index of the energy-consuming units.

[0054] S200, using the energy consumption data of each energy consuming unit in the past first preset time period, respectively calculating the energy consumption benchmark and predicted energy consumption of each energy consuming unit according to the energy consumption properties of each energy consuming unit, and then calculating the total predicted energy consumption of the energy consuming unit;

[0055] It is understandable that energy-consuming units need to calculate the energy consumption benchmark of each energy-consuming unit based on the energy consumption nature of each energy-consuming unit, using energy consumption data, product output and other data in the past 12 months. Because the energy consumption nature of each energy-consuming unit is different, the method for determining the energy consumption benchmark of each energy-consuming unit is also different. The above method can more accurately obtain the energy consumption benchmark of each energy-consuming unit, and thus provide a basis for calculating the predicted energy consumption of each energy-consuming unit.

[0056] Specifically, the energy consumption data of each energy-consuming unit in the past first preset time period is used to calculate the energy consumption benchmark of each energy-consuming unit and predict the energy consumption amount according to the energy consumption properties of each energy-consuming unit, including:

[0057] The predicted energy consumption of each energy-consuming unit = the energy consumption benchmark of each energy-consuming unit + the newly installed capacity of each energy-consuming unit - the energy saving of each energy-consuming unit.

[0058] It should be noted here that the energy-consuming unit calculates the predicted energy consumption of each energy-consuming unit based on the energy consumption benchmark of each energy-consuming unit and the newly added installed capacity and energy saving amount. The newly added installed capacity includes the energy demand that may increase in the future, such as new production lines, expanded facilities or introduced new equipment. These newly added installed capacities will directly affect the total amount of energy consumption. The energy saving amount of each energy-consuming unit includes the predictable energy saving amount that may be achieved through the implementation of energy-saving measures, such as equipment upgrades, process optimization, and energy management system improvements. The newly added installed capacity and energy saving amount are specifically calculated according to the energy consumption nature of each energy-consuming unit. The above-mentioned calculation method can more accurately plan the energy demand of each energy-consuming unit, and identify and implement energy-saving measures at the same time, so as to achieve the goals of improving energy utilization efficiency, reducing energy costs and reducing environmental impacts, thereby greatly improving the availability and reliability of the present invention.

[0059] Specifically, the calculation of the total predicted energy consumption of the energy-consuming unit includes:

[0060] Total predicted energy consumption of energy-consuming units = ∑ predicted energy consumption of each energy-consuming unit;

[0061] The energy consumption unit at least includes the energy loss of the energy consumption unit;

[0062] The energy loss of the energy-consuming unit is the loss or measurement error caused by the energy during the transportation and measurement process.

[0063] It can be understood that the total predicted energy consumption of each energy-consuming unit is obtained by summing up the predicted energy consumption of each energy-consuming unit. In addition, the loss or measurement error of energy during the transmission and measurement process, that is, energy loss, is also considered as part of the energy-consuming unit. The energy loss in manufacturing enterprises mainly includes the following two aspects:

[0064] (1) Transmission loss: In the process of energy transmission, energy loss will occur due to resistance, heat dissipation, leakage, etc. of pipelines and wires, for example, line loss in power transmission, heat loss in thermal energy transmission, pressure loss in compressed air transmission, etc.

[0065] (2) Measurement error: Accuracy problems of energy metering equipment, such as instrument aging, inaccurate calibration or erroneous readings, can lead to inaccurate recording of energy consumption, resulting in measurement errors.

[0066] Therefore, when predicting energy consumption, energy-consuming units need to take energy losses into account, and then improve energy efficiency by reducing energy losses.

[0067] S300, respectively calculating the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determining whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determining whether to take energy-saving measures based on the determination result.

[0068] Specifically, the calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit includes:

[0069] The calculation method of the unit product forecast energy consumption index e of the energy-consuming unit is:

[0070]

[0071] Among them, E is the total predicted energy consumption of the energy-consuming unit, and Q is the product output plan of the energy-consuming unit in the first preset time period in the future.

[0072] Specifically, the calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit respectively further includes:

[0073] The calculation method of the unit product energy consumption benchmark e0 of the energy-consuming unit is:

[0074]

[0075] Among them, E0 is the energy consumption data of the energy-consuming unit in the past first preset time period, and Q0 is the product output of the energy-consuming unit in the past first preset time period.

[0076] Specifically, the step of judging whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and judging whether to take energy-saving measures according to the judgment result, includes:

[0077] If the predicted energy consumption index per unit product of an energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit shall take energy-saving measures to control energy consumption.

[0078] Specifically, if the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit takes energy-saving measures to control energy consumption, including:

[0079] After the energy-consuming unit takes energy-saving measures, the predicted energy consumption index per unit product of the energy-consuming unit is calculated again, and a judgment is made as to whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, until the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product.

[0080] It is understandable that energy-consuming units generally use the unit product energy consumption benchmarking method to evaluate the energy management level of the enterprise. Energy-consuming units need to benchmark the predicted energy consumption indicators with the energy consumption benchmark. If the predicted energy consumption indicator decline does not conform to the company's plan, or is higher than the energy consumption benchmark, the energy-consuming unit can plan a series of energy-saving measures in the energy-consuming unit with great energy-saving potential to ensure the trend of continuous reduction of energy consumption indicators. When the unit product predicted energy consumption indicator of the energy-consuming unit is greater than or equal to the unit product energy consumption benchmark, the energy-consuming unit should take energy-saving measures in the energy-consuming unit with great energy-saving potential or in the energy-consuming unit where energy-saving measures are easy to implement, such as management energy saving, technical energy saving, structural energy saving, etc., including:

[0081] (1) Energy saving management

[0082] Energy audit: Conduct energy audits regularly to identify energy waste and assess energy saving potential;

[0083] Energy management system: Establish and improve energy management systems, such as ISO 50001, to improve energy efficiency through standardized processes and continuous improvement mechanisms;

[0084] Energy metering and monitoring: Improve energy metering systems, monitor energy usage in real time, and promptly detect and correct energy waste;

[0085] Employee training and incentives: Strengthen employee energy-saving awareness training, implement energy-saving performance assessment, and encourage energy-saving behaviors;

[0086] (2) Technical energy saving

[0087] Equipment upgrade and replacement: Use high-efficiency production equipment and systems, such as high-efficiency motors, inverters, energy-saving lamps, etc.;

[0088] Process optimization: optimize the production process and reduce energy waste, such as improving heating, cooling, and compressed air systems;

[0089] Waste heat recovery: Install a waste heat recovery system to convert waste heat from the production process into reusable energy;

[0090] Automation and intelligence: Introducing automated control technologies, such as intelligent energy management systems, to achieve precise control of energy use;

[0091] (3) Structural energy saving

[0092] Optimize production structure: adjust product structure and production layout, reduce the production proportion of energy-intensive products, and increase the output of energy-efficient products;

[0093] Energy structure optimization: adjust the energy use structure, increase the proportion of clean energy and renewable energy, and reduce dependence on fossil energy;

[0094] Building and facility optimization: Improve the energy efficiency of production facilities, such as improving the thermal insulation performance of building envelopes, optimizing ventilation and lighting systems, etc.

[0095] After the energy-consuming unit takes energy-saving measures, the predicted energy consumption index per unit product of the energy-consuming unit is calculated again, and it is determined whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product. If it is determined that the predicted energy consumption index per unit product is still greater than or equal to the energy consumption benchmark per unit product, energy-saving measures will continue to be taken until it is determined that the predicted energy consumption index per unit product is less than the energy consumption benchmark per unit product. This will ensure that the energy consumption per unit product of the energy-consuming unit is continuously reduced year by year, thereby achieving the goal of energy conservation and consumption reduction as well as sustainable development.

[0096] Specifically, the determining whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determining whether to take energy-saving measures according to the determination result, further includes:

[0097] If the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product, the energy-consuming unit shall not take energy-saving measures to control energy consumption, and the calculated predicted energy consumption index per unit product shall be used as the energy consumption index per unit product of the energy-consuming unit in the first preset time period in the future.

[0098] It should be noted here that when the unit product predicted energy consumption index of an energy-consuming unit is less than the unit product energy consumption benchmark, the energy-consuming unit will use the calculated unit product predicted energy consumption index as the unit product energy consumption index for the next year based on the energy-saving measures planned by the enterprise, implement this index in its business activities and benchmark it periodically, so as to further take energy-saving measures, promote the energy-consuming unit to achieve the goal of energy conservation and consumption reduction and sustainable development, and greatly improve the practicality and reliability of the present invention.

[0099] The working principle of the present invention is described below by means of specific examples:

[0100] In response to the situation where the energy consumption index prediction deviates greatly from the actual energy consumption, and the product energy consumption limit and energy cannot be effectively controlled, the present invention combines the "GBT 2589-2020 General Rules for Calculation of Comprehensive Energy Consumption" to divide the energy consumption of each energy-consuming system contained in the energy-consuming unit into energy boundaries according to the nature of energy consumption, and divide the energy-consuming unit into different energy-consuming units. Then, different methods are used to predict the energy consumption index according to the energy consumption characteristics of each energy-consuming unit, and finally the overall energy consumption index of the enterprise is synthesized. In this way, the energy consumption index of the enterprise can be predicted more accurately, and business decisions can be made for the enterprise. Energy-saving measures can be taken in advance or energy-saving projects can be added to ensure the achievement of energy-saving goals.

[0101] Taking a manufacturing enterprise as an example, the specific implementation steps of the present invention are as follows:

[0102] 1. Divide energy consumption units

[0103] Once the boundary is determined, it should not be changed in the collection of historical energy consumption data, subsequent energy consumption statistics and forecasts; when the energy-consuming unit product is single and the manufacturing process is relatively simple, the energy consumption calculation boundary division that can be used is as follows: Figure 3 As shown in Figure 1, the energy consumption unit includes production system, auxiliary system and subsidiary system. When the energy consumption unit has various products or the manufacturing process is complex, the energy consumption calculation boundary can be divided as follows: Figure 4 As shown in the figure, the energy consumption units include workshop 1, workshop 2, and workshop n. The energy consumption units of each workshop may include production systems, auxiliary systems, and subsidiary systems. The energy consumption statistics of the energy consumption units can be specified as follows:

[0104] Energy consumption of production system: energy consumption of the entire production process from raw materials, semi-finished products, finished products, inspection, warehousing, etc.;

[0105] Auxiliary system energy consumption: energy consumption of power public facilities such as heating, power supply, water supply, steam supply, refrigeration, and machining, excluding energy consumption of new, modified, and expanded project construction;

[0106] Energy consumption of auxiliary systems: energy consumed to ensure the normal production process, including but not limited to lighting, fan air conditioning, environmental protection facilities, power distribution within the workshop, toilets, showers, offices, greening and other facilities, excluding non-working energy consumption, such as employee dormitories, guest houses, etc.

[0107] In addition, energy will produce losses and measurement errors during the transmission and measurement process. We call this part that cannot be accurately measured "energy loss". The calculation of energy loss is as follows;

[0108] Energy loss = energy inventory at the beginning of the period (if any) + energy purchased + energy processing and conversion (if any) + energy recovery (if any) - energy consumption - energy sales (if any) - energy inventory at the end of the period (if any).

[0109] Regardless of the Figure 3 still Figure 4 The method of dividing the energy consumption calculation boundary is to relatively accurately predict and manage energy consumption indicators, and the calculation formula of the total energy consumption of energy-consuming units remains unchanged, that is:

[0110]

[0111] 2. Collect historical production and energy consumption data

[0112] According to the divided energy consumption units, we need to collect product output data and energy consumption data for the past year (the data statistical period can be extended if necessary). Generally, the statistical period is one month. The energy consumption data should be measurable. The above historical data is set as the benchmark (abnormal data needs to be eliminated), such as output benchmark, energy consumption benchmark, etc.

[0113] 3. Calculate the energy consumption benchmark of each energy-consuming unit

[0114] After collecting historical data, we need to calculate the energy consumption benchmark according to different energy consumption units:

[0115] (1) That is, the average value of the energy consumption per unit product of the production system in the past 12 months. According to the actual energy-saving planning requirements of the enterprise, the energy consumption benchmark per unit product of the production system can also adopt the median value or optimal value of historical energy consumption. Strict energy consumption benchmarks will tighten energy consumption indicators.

[0116] (2) The energy consumption benchmark of auxiliary systems is the actual value of energy consumption of auxiliary production systems per energy user in the past 12 months, i.e. i Energy consumption of workshop auxiliary systems, February i Energy consumption of workshop auxiliary system, March i Energy consumption of workshop auxiliary system, ..., December iEnergy consumption of workshop auxiliary systems.

[0117] (3) The energy consumption benchmark for the subsidiary system is the actual value of the energy consumption of the subsidiary production system of the energy-consuming unit in the past 12 months, that is, i Energy consumption of workshop auxiliary systems, February i Energy consumption of workshop auxiliary systems, March i Energy consumption of workshop auxiliary systems, ..., December iEnergy consumption of workshop auxiliary systems.

[0118] (4)

[0119] 4. Obtain future product output plans for energy consumption forecasting

[0120] Obtain future product production plans based on the statistical period of the energy-consuming unit, such as the monthly production plan for the next year, with at least 12 sets of production data.

[0121] 5. Predict energy consumption

[0122] The following methods can be used to predict the energy consumption of each energy-consuming unit:

[0123] (1) Forecast of production system energy consumption = production system unit product energy consumption benchmark × planned output of energy-consuming units of products in the same period – estimated energy savings of energy-saving projects in the production system in the same period (if any) + energy consumption of new equipment, facilities, processes, etc. planned for the production system in the same period;

[0124] (2) Auxiliary system energy consumption forecast = auxiliary system energy consumption benchmark for the same period - estimated energy savings of auxiliary system energy-saving projects for the same period + energy consumption of planned new equipment and facilities for the auxiliary system for the same period;

[0125] (3) Forecast of energy consumption of subsidiary system = energy consumption benchmark of subsidiary system in the same period - estimated energy saving of energy-saving projects of subsidiary system in the same period + energy consumption of new equipment and facilities planned for the subsidiary system in the same period;

[0126] (4) Energy loss prediction = (production system energy consumption prediction + auxiliary system energy consumption prediction + ancillary system energy consumption prediction) × energy loss rate benchmark / (1-energy loss rate benchmark).

[0127] The total energy consumption forecast of the energy-consuming unit = the production system energy consumption forecast + the auxiliary system energy consumption forecast + the subsidiary system energy consumption forecast + the energy loss forecast.

[0128] The above method is also applicable to the energy consumption prediction of a certain workshop in an energy-using unit. Using the product output plan (referring to products) of this workshop will make the energy consumption prediction more accurate.

[0129] 6. Calculate the energy consumption index and benchmark it

[0130] The energy-using unit should calculate the energy consumption per unit product for benchmarking.

[0131] (1) Predicted energy consumption per unit product (i.e., the predicted energy consumption index), where E is the predicted total energy consumption of the energy-using unit, and Q is the total future product output plan of the energy-using unit;

[0132] (2) Benchmark of energy consumption per unit product (i.e., the actual energy consumption index of the previous year), where E0 is the actual total energy consumption of the energy-using unit in the previous year, and Q0 is the actual total product output of the energy-using unit in the previous year.

[0133] When e ≥ e0, the energy-using unit should take energy-saving measures within the energy-using units with great energy-saving potential or within the boundaries where energy-saving measures are easily implemented (here, the energy-using units refer to the production system, auxiliary system, affiliated system, and including energy losses), such as management energy conservation, technical skills, and structural energy conservation. After measuring the energy-saving amount, predict the energy consumption again according to step 5 until e < e0 to ensure that the energy consumption per unit product of the energy-using unit decreases continuously year by year.

[0134] 7. Archive and implement the energy consumption index

[0135] The decline rate of e compared to e0 depends on the development plan of the energy-using unit in the next year. The energy-using unit determines e as the energy consumption index per unit product for the next year according to the energy-saving measures planned by the enterprise, implements this index in business activities and conducts periodic benchmarking in order to further take energy-saving measures.

[0136] Table 1 shows the predicted energy consumption index for 2024 based on the energy consumption in 2023:

[0137] Table 1 Predicted Energy Consumption Index for 2024 Based on the Energy Consumption in 2023

[0138]

[0139] Figure 5 For the achievement situation of the predicted index and the actual index of a certain unit in 2023 predicted by using the solution of the present invention, as Figure 5As shown, the company does not have any "too high" or "too low" energy consumption index forecasts. The forecast trends and forecast indicators are consistent with the actual situation. Energy-consuming units can ensure the continuous achievement of energy consumption indicators by following the energy-saving measures planned by the company.

[0140] It should be noted here that the present invention divides the energy consumption boundary by the energy consumption unit according to the energy consumption properties of the energy consumption systems contained therein, and then divides the energy consumption unit into at least one energy consumption unit, and adopts different methods to calculate the energy consumption benchmark and predicted energy consumption of each energy consumption unit according to the energy consumption properties of each energy consumption unit, and then calculates the unit product predicted energy consumption index and the unit product energy consumption benchmark of the energy consumption unit. It can more realistically calculate the energy consumption index of each energy consumption unit according to the energy consumption characteristics of each energy consumption unit, and then reflect the historical energy consumption trend of different energy consumption units, greatly improve the accuracy of energy consumption index prediction, and when the actual index reaches an abnormality, it can be divided into boundary analysis to find energy consumption anomalies, take corresponding energy-saving measures, and judge whether the unit product predicted energy consumption index of the energy-consuming unit is greater than or equal to the unit product energy consumption benchmark, and determine whether to take energy-saving measures according to the judgment result, until the unit product predicted energy consumption index is less than the unit product energy consumption benchmark, further ensuring that the unit product energy consumption of the energy-consuming unit can be continuously reduced year by year, so as to achieve the purpose of energy saving and consumption reduction and sustainable development, and greatly improve the intelligence, availability and reliability of the present invention.

[0141] See also Figure 2 , this embodiment provides a system for predicting energy consumption indicators of a manufacturing enterprise, the system comprising:

[0142] Acquisition module 100: used for dividing the energy consumption boundary of the energy consumption unit according to the energy consumption properties of each energy consumption system contained therein, and then dividing the energy consumption unit into at least one energy consumption unit, and acquiring the energy consumption data of each energy consumption unit in the past first preset time period, the product output of the energy consumption unit in the past first preset time period, and the product output plan in the future first preset time period;

[0143] Control module 200: used to utilize the energy consumption data of each energy-consuming unit in the past first preset time period to calculate the energy consumption benchmark and predicted energy consumption of each energy-consuming unit according to the energy consumption characteristics of each energy-consuming unit, and then calculate the total predicted energy consumption of the energy-consuming unit; or used to calculate the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determine whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determine whether to take energy-saving measures based on the determination result.

[0144] It should be noted here that the present invention divides the energy consumption boundary by the energy consumption unit according to the energy consumption properties of the energy consumption systems contained therein, and then divides the energy consumption unit into at least one energy consumption unit, and adopts different methods to calculate the energy consumption benchmark and predicted energy consumption of each energy consumption unit according to the energy consumption properties of each energy consumption unit, and then calculates the unit product predicted energy consumption index and the unit product energy consumption benchmark of the energy consumption unit. It can more realistically calculate the energy consumption index of each energy consumption unit according to the energy consumption characteristics of each energy consumption unit, and then reflect the historical energy consumption trend of different energy consumption units, greatly improve the accuracy of energy consumption index prediction, and when the actual index reaches an abnormality, it can be divided into boundary analysis to find energy consumption anomalies, take corresponding energy-saving measures, and judge whether the unit product predicted energy consumption index of the energy-consuming unit is greater than or equal to the unit product energy consumption benchmark, and determine whether to take energy-saving measures according to the judgment result, until the unit product predicted energy consumption index is less than the unit product energy consumption benchmark, further ensuring that the unit product energy consumption of the energy-consuming unit can be continuously reduced year by year, so as to achieve the purpose of energy saving and consumption reduction and sustainable development, and greatly improve the intelligence, availability and reliability of the present invention.

[0145] In a preferred embodiment, the present application further provides an electronic device, the electronic device comprising:

[0146] A memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method for predicting the energy consumption index of a manufacturing enterprise is implemented. The computer device can be broadly a server, a terminal, or any other electronic device with necessary computing and / or processing capabilities. In one embodiment, the computer device may include a processor, a memory, a network interface, a communication interface, etc. connected via a system bus. The processor of the computer device can be used to provide necessary computing, processing and / or control capabilities. The memory of the computer device may include a non-volatile storage medium and an internal memory. An operating system, a computer program, etc. may be stored in or on the non-volatile storage medium. The internal memory can provide an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface and the communication interface of the computer device can be used to connect and communicate with external devices via a network. When the computer program is executed by the processor, the steps of the method of the present invention are executed.

[0147] The present invention may be implemented as a computer-readable storage medium having a computer program stored thereon, which causes the steps of the method of an embodiment of the present invention to be executed when executed by a processor. In one embodiment, the computer program is distributed on a plurality of computer devices or processors coupled to a network so that the computer program is stored, accessed and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, may be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations may be performed by one or more computer devices or processors, and one or more other method steps / operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step / operation, or perform two or more method steps / operations.

[0148] It will be appreciated by those skilled in the art that the method steps of the present invention may be performed by instructing related hardware such as a computer device or a processor through a computer program, and the computer program may be stored in a non-temporary computer-readable storage medium, which causes the steps of the present invention to be performed when the computer program is executed. Depending on the circumstances, any reference to memory, storage, database, or other media herein may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0149] It should be noted here that the present invention divides the energy consumption boundary by the energy consumption unit according to the energy consumption properties of the energy consumption systems contained therein, and then divides the energy consumption unit into at least one energy consumption unit, and adopts different methods to calculate the energy consumption benchmark and predicted energy consumption of each energy consumption unit according to the energy consumption properties of each energy consumption unit, and then calculates the unit product predicted energy consumption index and the unit product energy consumption benchmark of the energy consumption unit. It can more realistically calculate the energy consumption index of each energy consumption unit according to the energy consumption characteristics of each energy consumption unit, and then reflect the historical energy consumption trend of different energy consumption units, greatly improve the accuracy of energy consumption index prediction, and when the actual index reaches an abnormality, it can be divided into boundary analysis to find energy consumption anomalies, take corresponding energy-saving measures, and judge whether the unit product predicted energy consumption index of the energy-consuming unit is greater than or equal to the unit product energy consumption benchmark, and determine whether to take energy-saving measures according to the judgment result, until the unit product predicted energy consumption index is less than the unit product energy consumption benchmark, further ensuring that the unit product energy consumption of the energy-consuming unit can be continuously reduced year by year, so as to achieve the purpose of energy saving and consumption reduction and sustainable development, and greatly improve the intelligence, availability and reliability of the present invention.

[0150] The various technical features described above can be combined arbitrarily. Although all possible combinations of these technical features are not described, any combination of these technical features should be considered to be covered by this specification as long as there is no contradiction in such combination.

[0151] The specific implementation of the present invention described above does not constitute a limitation on the protection scope of the present invention. Any other corresponding changes and modifications made based on the technical concept of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A method for predicting energy consumption indicators of a manufacturing enterprise, characterized in that: include: S100, the energy-consuming unit divides the energy-consuming boundary according to the energy-consuming properties of each energy-consuming system contained therein, and then divides the energy-consuming unit into at least one energy-consuming unit, and obtains the energy consumption data of each energy-consuming unit in the past first preset time period, the product output of the energy-consuming unit in the past first preset time period, and the product output plan in the future first preset time period; S200, using the energy consumption data of each energy consuming unit in the past first preset time period, respectively calculating the energy consumption benchmark and predicted energy consumption of each energy consuming unit according to the energy consumption properties of each energy consuming unit, and then calculating the total predicted energy consumption of the energy consuming unit; S300, respectively calculating the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determining whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determining whether to take energy-saving measures based on the determination result.

2. The method for predicting energy consumption indicators of manufacturing enterprises according to claim 1, characterized in that: The method of using the energy consumption data of each energy-consuming unit in the past first preset time period to calculate the energy consumption benchmark of each energy-consuming unit and predict the energy consumption amount according to the energy consumption properties of each energy-consuming unit includes: The predicted energy consumption of each energy-consuming unit = the energy consumption benchmark of each energy-consuming unit + the newly installed capacity of each energy-consuming unit - the energy saving of each energy-consuming unit.

3. The method for predicting energy consumption indicators of manufacturing enterprises according to claim 2 is characterized in that: The total predicted energy consumption of the energy-consuming unit is calculated, including: Total predicted energy consumption of energy-consuming units = ∑ predicted energy consumption of each energy-consuming unit; The energy consumption unit at least includes the energy loss of the energy consumption unit; The energy loss of the energy-consuming unit is the loss or measurement error caused by the energy during the transportation and measurement process.

4. The method for predicting energy consumption indicators of manufacturing enterprises according to claim 3 is characterized in that: The calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit respectively includes: The calculation method of the unit product forecast energy consumption index e of the energy-consuming unit is: Among them, E is the total predicted energy consumption of the energy-consuming unit, and Q is the product output plan of the energy-consuming unit in the first preset time period in the future.

5. The method for predicting energy consumption indicators of manufacturing enterprises according to claim 4, characterized in that: The calculation of the unit product forecast energy consumption index and the unit product energy consumption benchmark of the energy-consuming unit also includes: The calculation method of the unit product energy consumption benchmark e0 of the energy-consuming unit is: Among them, E0 is the energy consumption data of the energy-consuming unit in the past first preset time period, and Q0 is the product output of the energy-consuming unit in the past first preset time period.

6. The method for predicting energy consumption indicators of a manufacturing enterprise according to claim 5, characterized in that: The determining whether the predicted energy consumption per unit product of the energy-consuming unit is greater than or equal to the energy consumption per unit product benchmark, and determining whether to take energy-saving measures based on the determination result, includes: If the predicted energy consumption index per unit product of an energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit shall take energy-saving measures to control energy consumption.

7. The method for predicting energy consumption indicators of a manufacturing enterprise according to claim 6, characterized in that: If the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, the energy-consuming unit shall take energy-saving measures to control energy consumption, including: After the energy-consuming unit takes energy-saving measures, the predicted energy consumption index per unit product of the energy-consuming unit is calculated again, and a judgment is made as to whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, until the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product.

8. The method for predicting energy consumption indicators of a manufacturing enterprise according to claim 5, characterized in that: The determining whether the unit product predicted energy consumption index of the energy-consuming unit is greater than or equal to the unit product energy consumption benchmark, and determining whether to take energy-saving measures according to the determination result, further includes: If the predicted energy consumption index per unit product of the energy-consuming unit is less than the energy consumption benchmark per unit product, the energy-consuming unit shall not take energy-saving measures to control energy consumption, and the calculated predicted energy consumption index per unit product shall be used as the energy consumption index per unit product of the energy-consuming unit in the first preset time period in the future.

9. A system for predicting energy consumption indicators of manufacturing enterprises, characterized in that: include: Acquisition module (100): the energy-consuming unit divides the energy-consuming boundary according to the energy-consuming properties of each energy-consuming system contained therein, and then divides the energy-consuming unit into at least one energy-consuming unit, and acquires the energy consumption data of each energy-consuming unit in the past first preset time period, the product output of the energy-consuming unit in the past first preset time period, and the product output plan in the future first preset time period; Control module (200): used to use the energy consumption data of each energy-consuming unit in the past first preset time period to calculate the energy consumption benchmark and predicted energy consumption of each energy-consuming unit according to the energy consumption characteristics of each energy-consuming unit, and then calculate the total predicted energy consumption of the energy-consuming unit; or used to calculate the predicted energy consumption index per unit product and the energy consumption benchmark per unit product of the energy-consuming unit, determine whether the predicted energy consumption index per unit product of the energy-consuming unit is greater than or equal to the energy consumption benchmark per unit product, and determine whether to take energy-saving measures based on the determination result.

10. An electronic device, characterized in that: include: Memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method for predicting the energy consumption index of a manufacturing enterprise according to any one of claims 1 to 8 is implemented.

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