Production scheduling energy consumption analysis system and analysis method

Abstract

The invention relates to the technical field of production energy consumption analysis, in particular to a production scheduling energy consumption analysis system and method, and the system comprises an obtaining module which is used for obtaining the equipment information and actual production data of all equipment in a production line; the capacity calculation module is used for calculating the ideal capacity of each device in unit time and obtaining the capacity conversion rate in combination with the actual production data; the energy consumption calculation module is used for calculating the energy consumption of single equipment and the total energy consumption of production line equipment based on the productivity conversion rate in combination with the actual production data, and calculating the energy consumption fitting coefficient of each piece of equipment; the production change information input module is used for inputting production data change information and sending the production data change information to the energy consumption calculation module so as to recalculate the energy consumption of the single equipment and the total energy consumption of the production line equipment and obtain a changed energy consumption fitting coefficient; and the energy consumption analysis module is used for obtaining a single equipment energy consumption analysis result and a production line total energy consumption analysis result. The scheduling energy consumption analysis effect of the multi-equipment production line can be improved.

Description

Technical Field

[0001] This application relates to the technical field of production energy consumption analysis, and particularly to a production capacity energy consumption analysis system and an analysis method. Background Art

[0002] Currently, in the production and processing link, it is possible to analyze the energy consumption of the production line based on time-varying data, that is, by statistically analyzing the changes in data such as the running time, positive active power unit consumption, and output per unit of each device in the production process over time to obtain the corresponding change trends, so as to analyze the energy consumption corresponding to the change of energy over time.

[0003] However, this method of analyzing production capacity energy consumption based on time-varying data can only compare the differences between single devices and planned energy consumption and actual energy consumption. However, there are generally a large number of devices in the production workshop, and production tasks will also change at any time. Therefore, in the face of a large-scale production area, its analysis and calculation speed is slow, and it cannot effectively conduct early warning and resource allocation, increasing the operation risk and energy consumption of the devices. Summary of the Invention

[0004] In order to improve the analysis effect of production capacity energy consumption of multi-device production lines, this application provides a production capacity energy consumption analysis system and an analysis method.

[0005] In the first aspect, this application provides a production capacity energy consumption analysis system, adopting the following technical solutions: A production capacity energy consumption analysis system includes: An acquisition module, configured to acquire device information and actual production data of each device in the production line; A production capacity calculation module, configured to calculate the ideal production capacity of each of the devices per unit time, and associate the ideal production capacity with the actual production data to obtain a production capacity conversion rate; An energy consumption calculation module, based on the production capacity conversion rate of each of the devices per unit time and in combination with the actual production data, calculates the single-device energy consumption and the total energy consumption of the production line devices, and calculates an energy consumption fitting coefficient for each of the devices according to the single-device energy consumption and the total energy consumption of the production line devices, where the energy consumption fitting coefficient represents the fitting degree of the energy consumption of each of the devices itself to the total energy consumption of the production line devices; A production change information input module, configured to input production data change information and send it to the energy consumption calculation module so that the energy consumption calculation module recalculates the single-device energy consumption and the total energy consumption of the production line devices, and obtains a changed energy consumption fitting coefficient; The energy consumption analysis module is used to obtain the single-device energy consumption analysis result and the total energy consumption analysis result of the production line according to the energy consumption fitting coefficient when there is no change information of the production data. It is also used to generate the corresponding single-device energy consumption analysis result and the total energy consumption analysis result of the production line according to the difference between the energy consumption fitting coefficient and the changed energy consumption fitting coefficient when there is the change information of the production data.

[0006] In some of the embodiments, the energy consumption calculation module is further used to calculate the average energy consumption of a single device according to the total energy consumption of the production line equipment and draw the corresponding average energy consumption curve of a single device; The energy consumption analysis module is specifically used to draw the energy consumption curve of a single device and the total energy consumption curve of the production line equipment, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the single-device energy consumption curve as an energy consumption abnormal device when the slope dispersion value is greater than a preset value; The energy consumption analysis module is specifically further used to judge whether a part of the single-device energy consumption curve exceeds a preset ratio and is higher or lower than the average energy consumption curve of the single device. If it is higher, the energy consumption abnormal device is specifically defined as a high-saturation energy consumption abnormal device. If it is lower, the energy consumption abnormal device is specifically defined as a low-saturation energy consumption abnormal device.

[0007] In some of the embodiments, a production capacity allocation module is further included, which is used to obtain the device information of the high-saturation energy consumption abnormal device and the low-saturation energy consumption abnormal device and their corresponding single-device energy consumption, and generate an energy consumption allocation instruction based on the difference between the single-device energy consumption corresponding to each energy consumption abnormal device and the average energy consumption of the single device. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the device.

[0008] In some of the embodiments, the energy consumption calculation module is further used to calculate the ideal total energy consumption of the production line equipment according to the ideal production capacity of each device per unit time. The energy consumption analysis module is further used to calculate the total energy consumption difference according to the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, generate total energy consumption fluctuation data based on the total energy consumption difference in multiple unit times during the total production task time, and generate a single-device energy consumption investigation signal when the total energy consumption fluctuation data is greater than a preset value. The single-device energy consumption investigation signal is used to obtain the single-device energy consumption curve of each device to investigate whether there is an energy consumption abnormal device.

[0009] In some of these embodiments, it further includes a production order input module and an energy consumption prediction module. The production order input module is used to input new production orders and obtain corresponding order information according to the new production orders. The energy consumption prediction module is used to obtain the order information and generate an energy consumption speculation curve by combining the single-device energy consumption curve corresponding to each device, the total energy consumption curve of the production line equipment, and external variables in the future unit time. Among them, the energy consumption speculation curve includes a single-device energy consumption speculation curve and a total energy consumption speculation curve of the production line equipment. The external variables at least include the equipment commissioning time and the peak-valley electricity change amount.

[0010] In a second aspect, the present application provides a production capacity and energy consumption analysis method, adopting the following technical solutions: A production capacity and energy consumption analysis method includes the following steps: Obtain the equipment information and actual production data of each device in the production line; Calculate the ideal production capacity of each device per unit time, and associate the ideal production capacity with the actual production data to obtain the production capacity conversion rate; Based on the production capacity conversion rate of each device per unit time and combined with the actual production data, calculate the single-device energy consumption and the total energy consumption of the production line equipment, and calculate the energy consumption fitting coefficient of each device according to the single-device energy consumption and the total energy consumption of the production line equipment. The energy consumption fitting coefficient represents the fitting degree of the energy consumption of each device itself to the total energy consumption of the production line equipment; Input production data change information to recalculate the single-device energy consumption and the total energy consumption of the production line equipment, and obtain the changed energy consumption fitting coefficient; When there is no production data change information, obtain the single-device energy consumption analysis result and the total production line energy consumption analysis result according to the energy consumption fitting coefficient; When there is production data change information, generate corresponding single-device energy consumption analysis results and total production line energy consumption analysis results according to the difference between the energy consumption fitting coefficient and the changed energy consumption fitting coefficient.

[0011] In some of these embodiments, obtaining the single-device energy consumption analysis result and the total production line energy consumption analysis result according to the energy consumption fitting coefficient includes the following steps: Calculate the average single-device energy consumption according to the total energy consumption of the production line equipment, and draw the corresponding average single-device energy consumption curve; Draw the single-device energy consumption curve and the total energy consumption curve of the production line equipment, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the single-device energy consumption curve as an energy consumption abnormal device when the slope dispersion value is greater than the preset value; Determine whether there is a part of the single-device energy consumption curve that is higher or lower than the single-device average energy consumption curve by more than a preset ratio. If it is higher, define the energy consumption abnormal device as a high-saturation energy consumption abnormal device specifically. If it is lower, define the energy consumption abnormal device as a low-saturation energy consumption abnormal device specifically.

[0012] In some other embodiments, the following steps are further included: Obtain the device information of the high-saturation energy consumption abnormal device and the low-saturation energy consumption abnormal device and their corresponding single-device energy consumptions, and generate an energy consumption allocation instruction based on the difference between the single-device energy consumption corresponding to each energy consumption abnormal device and the single-device average energy consumption. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the device.

[0013] In some other embodiments, the following steps are further included: Calculate the ideal total energy consumption of the production line equipment according to the ideal production capacity of each device per unit time: Calculate the total energy consumption difference according to the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, and generate total energy consumption fluctuation data based on the total energy consumption difference in multiple unit times during the total production task time. When the total energy consumption fluctuation data is greater than a preset value, generate a single-device energy consumption inspection signal, and the single-device energy consumption inspection signal is used to obtain the single-device energy consumption curve of each device to check whether there is an energy consumption abnormal device.

[0014] In some other embodiments, input a new production order, and obtain the corresponding order information according to the new production order; Obtain the order information, and combine the single-device energy consumption curve corresponding to each device, the total energy consumption curve of the production line equipment, and external variables in future unit times to generate an energy consumption prediction curve, where the energy consumption prediction curve includes a single-device energy consumption prediction curve and a total energy consumption prediction curve of the production line equipment, and the external variables at least include the equipment commissioning time and the peak-valley electricity change amount. Description of the Drawings

[0015] Figure 1 It is a schematic diagram of the module connection of the production capacity and energy consumption analysis system in the embodiment of the present application.

[0016] Figure 2 It is a schematic diagram of the steps of the production capacity and energy consumption analysis method in the embodiment of the present application. Detailed Embodiments

[0017] To more clearly understand the purpose, technical solution, and advantages of the present application, the present application will be described and explained below in conjunction with the accompanying drawings and embodiments. However, those of ordinary skill in the art should understand that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions from obscuring various aspects of the present application, well-known methods, processes, systems, components, and / or circuits that have been described at a higher level will not be elaborated further. For those of ordinary skill in the art, it is obvious that various changes can be made to the disclosed embodiments of the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the illustrated embodiments, but rather conforms to the broadest scope consistent with the scope claimed in the present application.

[0018] It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation to the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0019] In the description of the present application, the meaning of "a number of" is one or more, the meaning of "a plurality of" is two or more, "greater than", "less than", "exceeding", etc. are understood not to include the recited number, and "above", "below", "within", etc. are understood to include the recited number. If there is a description of "first" and "second", it is only used to distinguish technical features and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0020] In the description of the present application, the description with reference to terms such as "an embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a combined manner.

[0021] As Figure 1 shown, an embodiment of the present application discloses a production capacity and energy consumption analysis system, including: An acquisition module, configured to acquire the device information and actual production data of each device in the production line.

[0022] The acquisition module is connected to each device in the production line. The device information of each device can be directly obtained through the interface when the acquisition module accesses the device, or the corresponding device data can also be manually uploaded by the staff. The device data includes information such as device name, device number, device type, device rated power, and device rotation speed.

[0023] The actual production data is characterized by the production information corresponding to each device during the actual operation at present or for a period of time, such as production volume, production efficiency, production power, operation duration, operation cycle, and so on.

[0024] The acquisition module can correspond to the corresponding sensors to obtain the corresponding operation data.

[0025] The production capacity calculation module is used to calculate the ideal production capacity of each device per unit time, and correlate the ideal production capacity with the actual production data to obtain the production capacity conversion rate.

[0026] First of all, the unit time can be set to one hour, one day, one week, etc., and can be customized according to different production needs and the accuracy of energy consumption detection and analysis.

[0027] The ideal production capacity is characterized by the most ideal production capacity per unit time calculated according to the device information of the device and the maximum working efficiency corresponding to the factory test and tuning links. It can be understood as the maximum production capacity or the optimal production capacity that the device can achieve per unit time. For some devices, the probability of accelerating aging and damage will increase when they produce and process at the maximum power for a long time. Therefore, the optimal production capacity can be selected as the ideal production capacity of such devices.

[0028] After calculating the ratio of the actual production data to the ideal production capacity, the production capacity conversion rate can be obtained. The production capacity conversion rate is characterized by the utilization rate of the production capacity corresponding to the current actual operation data of the device to the ideal production capacity.

[0029] For example, if the ideal production capacity is to produce 50 pieces per hour and the actual production data shows that the device produces 40 pieces per hour, then its production capacity conversion rate is 0.8. It can be understood that in the optimal case, the most efficient situation in actual production and the situation of maximizing energy consumption utilization is that the production capacity conversion rate is 1, which means that the device uses 100% of the ideal production capacity.

[0030] The closer the production capacity conversion rate is to 1, on the one hand, it can indicate a higher utilization rate of a device, and on the other hand, it also makes the energy consumption corresponding to each device more accurate when performing energy consumption calculation and analysis later. For example, if the ideal production capacity of a device is 50 pieces per hour, and if it actually only produces 20 pieces in one hour, then when performing energy consumption detection and analysis later, the energy consumption of this device must be relatively large, and it cannot show the true normal energy consumption data of this device because its current production operation is not in or close to the ideal production state.

[0031] The energy consumption calculation module calculates the single-device energy consumption and the total energy consumption of the production line equipment based on the production capacity conversion rate of each device per unit time combined with the actual production data, and calculates the energy consumption fitting coefficient of each device according to the single-device energy consumption and the total energy consumption of the production line equipment.

[0032] Among them, the energy consumption fitting coefficient characterizes the fitting degree between the energy consumption of each device itself and the total energy consumption of the production line equipment.

[0033] First, calculate the single-device energy consumption per unit time according to the production capacity conversion rate per unit time and the actual production output in this unit time. The single-device energy consumption characterizes the independent energy consumption of each device itself, and add up the single-device energy consumption of each device on the production line to obtain the total energy consumption of the production line equipment.

[0034] It should be noted that in most cases, the production capacity conversion rate is inversely proportional to the single-device energy consumption, that is, the lower the production capacity conversion rate of a device, the higher its single-device energy consumption. In fact, because in most cases, the device is running at full load or maintaining a certain power, then at a certain power, the lower the production capacity per unit time, the lower the utilization rate of energy consumption, and the higher the energy consumption required for producing a batch of devices.

[0035] The energy consumption fitting coefficient represents the degree of correlation of the amplification coefficient between the energy consumption of each device itself and the total energy consumption of all devices in the production line. For example, if the total energy consumption of the production line equipment increases by 15% in a certain unit time, then if the energy consumption of a certain single device increases by 14% in this unit time, it means that the fitting degree between the energy consumption of this device and the total energy consumption of the production line is relatively high, and if the energy consumption of a certain single device only increases by 3% or shows a decrease in this unit time, then the corresponding fitting degree is relatively low.

[0036] The energy consumption fitting coefficient can characterize the energy consumption correlation degree of each independent device in the production line. In an ideal and healthy production line, when each device does not have failures, shutdowns, maintenance, etc., the overall energy consumption increase is generally correlated with the increase in the total energy consumption of the production line. If the fitting degree between a certain device and the change in the total energy consumption of the production line is low, it will greatly affect the overall energy consumption ratio and production capacity.

[0037] The production change information input module is used to input production data change information and send it to the energy consumption calculation module, so that the energy consumption calculation module recalculates the single-device energy consumption and the total energy consumption of the production line equipment, and obtains the energy consumption fitting coefficient after the change.

[0038] The production change information input module can be realized manually by the staff or through dragging on the system interface. The staff inputs or drags the production capacity data that needs to be adjusted between different devices. The adjusted production capacity data includes increasing or decreasing the production capacity of some devices, or transferring the production tasks corresponding to some devices to other devices.

[0039] When the production data change information is generated, since the single-device energy consumption and its corresponding production capacity conversion rate corresponding to some devices will change, at this time, the energy consumption calculation module needs to recalculate the energy consumption corresponding to the device and the total energy consumption corresponding to the production line.

[0040] The energy consumption analysis module is used to obtain the single-device energy consumption analysis result and the production line total energy consumption analysis result according to the energy consumption fitting coefficient when there is no production data change information.

[0041] When the production data does not change, the single-device energy consumption analysis result and the production line total energy consumption analysis result can be directly obtained according to the currently detected and calculated energy consumption fitting coefficient, combined with the single-device energy consumption per unit time and the total energy consumption of the production line equipment.

[0042] It is also used to generate the corresponding single-device energy consumption analysis result and the production line total energy consumption analysis result according to the difference between the energy consumption fitting coefficient and the energy consumption fitting coefficient after the change when there is production data change information.

[0043] When there is production data change information, it is necessary to generate the single-device energy consumption analysis result and the production line total energy consumption analysis result according to the difference between the energy consumption fitting coefficient and the energy consumption fitting coefficient after the change.

[0044] Among them, when the difference between the energy consumption fitting coefficients before and after the production data change is larger, it means that the energy consumption of the equipment in the production line and the entire production line is more unstable. When the energy consumption is unstable, the staff needs to consider carrying out energy consumption monitoring, energy consumption analysis and production capacity reallocation.

[0045] Through the above steps, in this application, combined with the actual production data corresponding to each device, the energy consumption data between multiple devices are connected in series, and combined with the energy consumption fitting coefficient, the energy consumption of multiple devices is fitted and associated with the total energy consumption of the production line. At the same time, different calculation variables are used when there is time-varying data or no time-varying data, and the analysis method is relatively comprehensive and simple.

[0046] In some other embodiments, the energy consumption calculation module is further configured to calculate the average energy consumption of a single device based on the total energy consumption of the production line equipment, and draw a corresponding average energy consumption curve of the single device.

[0047] Dividing the total energy consumption of the production line equipment by the total number of devices on the production line can obtain the average energy consumption of a single device. At the same time, with time as the horizontal axis and the average energy consumption of a single device as the vertical axis, the average energy consumption curve of the single device can be obtained.

[0048] It should be noted that in some production lines, there may be devices for processing and producing different objects. Since the energy consumption corresponding to different types of devices is different, if there are multiple types of production equipment in a production line and the energy consumption differences among multiple different devices are not significant during the preliminary energy consumption monitoring process, the above method can be directly used. However, if the energy consumption differences among multiple devices are large, the production line needs to be divided into several sub-production lines, and each sub-production line corresponds to the same type of production equipment.

[0049] The energy consumption analysis module is specifically configured to draw the energy consumption curve of a single device and the total energy consumption curve of the production line equipment, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the energy consumption curve of the single device as an energy consumption abnormal device when the slope dispersion value is greater than the preset value.

[0050] The energy consumption analysis module can draw the energy consumption curve of a single device and the total energy consumption curve of the production equipment according to the real-time energy consumption of a single device and the total energy consumption of the production line equipment respectively. At the same time, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the energy consumption curve of the single device as an energy consumption abnormal device when the slope dispersion value is greater than the preset value.

[0051] As can be known from the above analysis, in a healthy and stable production line, the change range between the independent energy consumption of each device and the total energy consumption of the entire production line is similar, and the slope dispersion value represents the similarity of the change range between two energy consumption data.

[0052] For example, within a certain time period, the energy consumption increase of device A is 0.3, while the energy consumption increase of the total energy consumption is 0.33, indicating that the slope dispersion value of the two curves during this time period is relatively small. If the energy consumption increase of the total energy consumption is 0.5, it indicates that the dispersion degree between the two curves is large.

[0053] If the slope dispersion value is greater than the preset value, it means that the energy consumption change of a certain device or some devices in the production line is abnormal during a certain time period. At this time, find the devices with large slope dispersion values greater than the preset value and define them as energy consumption abnormal devices.

[0054] The energy consumption analysis module is also specifically used to determine whether there is a part of the single-device energy consumption curve that is higher or lower than the single-device average energy consumption curve by more than a preset ratio. If it is higher, the energy consumption abnormal device is specifically defined as a high-saturation energy consumption abnormal device. If it is lower, the energy consumption abnormal device is specifically defined as a low-saturation energy consumption abnormal device.

[0055] The energy consumption analysis module can also, within some time periods, determine based on the single-device energy consumption curve whether there are some devices whose energy consumption is always higher or lower than the single-device average energy consumption. If it is higher over a certain time length, it means that the production task of this device is relatively heavy compared to other devices on the entire production line, resulting in its production operation being in a high-saturation state. These devices can be defined as high-saturation energy consumption abnormal devices. Conversely, if there are some devices whose energy consumption is always lower than the single-device average energy consumption, it means that the current production operation of the device is in a low-saturation state.

[0056] In some other embodiments, there is also a production capacity allocation module, which is used to obtain the device information of high-saturation energy consumption abnormal devices and low-saturation energy consumption abnormal devices and their corresponding single-device energy consumption, and generate an energy consumption allocation instruction based on the difference between the single-device energy consumption corresponding to each energy consumption abnormal device and the single-device average energy consumption. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the device.

[0057] The production capacity allocation module can reallocate the production capacity of the existing high-saturation energy consumption abnormal devices and low-saturation energy consumption abnormal devices, so as to appropriately reduce the production pressure of the high-saturation devices and appropriately increase the production pressure of the low-saturation devices, and at the same time reallocate the energy consumption of the energy consumption abnormal devices to optimize the energy consumption ratio.

[0058] In some other embodiments, the energy consumption calculation module is also used to calculate the ideal total energy consumption of the production line equipment according to the ideal production capacity of each device per unit time.

[0059] The ideal total energy consumption of the production line equipment is characterized as the sum of the energy consumption when all devices in the production line are in an ideal production environment.

[0060] The energy consumption analysis module is also used to calculate the total energy consumption difference based on the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, and generate total energy consumption fluctuation data based on the total energy consumption difference in multiple unit times during the total production task time. When the total energy consumption fluctuation data is greater than a preset value, a single-device energy consumption inspection signal is generated. The single-device energy consumption inspection signal is used to obtain the single-device energy consumption curve of each device to check whether there are energy consumption abnormal devices.

[0061] The energy consumption analysis module obtains the total energy consumption fluctuation data based on the difference between the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment at each time point or time period. The total energy consumption fluctuation data is characterized by the gap fluctuation of the total energy consumption of the production line equipment from the ideal total energy consumption within multiple unit times.

[0062] If, at a time point or within a time period, the total energy consumption fluctuation data is greater than a preset value, it indicates that there is a large fluctuation in the total energy consumption of the production line equipment at this time point or time period. At this time, it is necessary to check each device on the production line to determine which devices have energy consumption changes at this time, and find out the reasons for the large energy consumption changes to generate corresponding improvement plans.

[0063] It should be noted that when the above total energy consumption fluctuation data is greater than the preset value, a single-device energy consumption inspection signal is generated. If, in the previous time point or previous time period, the difference between the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment is very small, but there is a large energy consumption fluctuation, then the above steps are carried out. In another case, if, in the previous time point or previous time period, the difference between the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment is originally very large, and after a large energy consumption fluctuation, the difference becomes smaller, then there is no need to generate a single-device energy consumption inspection signal, because the energy consumption fluctuation in this case makes the total energy consumption corresponding to the production line closer to the ideal total energy consumption, which belongs to an optimized fluctuation.

[0064] In some other embodiments, it further includes a production order input module and an energy consumption prediction module.

[0065] The production order input module is used to input new production orders and obtain corresponding order information according to the new production orders.

[0066] When a new production order enters during the production line operation stage, the relevant data of the new order is filled in and uploaded through the production order input module to obtain corresponding order information.

[0067] The energy consumption prediction module is used to obtain order information and generate an energy consumption prediction curve by combining the single-device energy consumption curves corresponding to each device, the total energy consumption curve of the production line equipment, and external variables in the future unit time. Among them, the energy consumption prediction curve includes a single-device energy consumption prediction curve and a total energy consumption prediction curve of the production line equipment, and the external variables at least include the equipment commissioning time and the peak-valley electricity change amount.

[0068] After obtaining the order information, the energy consumption prediction module further calculates the energy consumption prediction curve by combining the single-device energy consumption curve, the total energy consumption curve of the production line, and the external variables in the future unit time. In this way, when a new order needs to be added to the production link of the production line, the energy consumption change can be intuitively seen according to the obtained energy consumption prediction curve.

[0069] Such asFigure 2 As shown, the present application also discloses a production capacity and energy consumption analysis method, including the following steps: S100, obtaining the device information and actual production data of each device in the production line.

[0070] S200, calculating the ideal production capacity of each device per unit time, and correlating the ideal production capacity with the actual production data to obtain the production capacity conversion rate.

[0071] S300, calculating the energy consumption of a single device and the total energy consumption of the production line devices based on the production capacity conversion rate of each device per unit time combined with the actual production data, and calculating the energy consumption fitting coefficient of each device according to the energy consumption of a single device and the total energy consumption of the production line devices. The energy consumption fitting coefficient characterizes the fitting degree between the energy consumption of each device itself and the total energy consumption of the production line devices.

[0072] S400, inputting the production data change information to recalculate the energy consumption of a single device and the total energy consumption of the production line devices, and obtaining the energy consumption fitting coefficient after the change.

[0073] S500, obtaining the energy consumption analysis result of a single device and the total energy consumption analysis result of the production line according to the energy consumption fitting coefficient when there is no production data change information. When there is production data change information, generating the corresponding energy consumption analysis result of a single device and the total energy consumption analysis result of the production line according to the difference between the energy consumption fitting coefficient and the energy consumption fitting coefficient after the change.

[0074] In some other embodiments, obtaining the energy consumption analysis result of a single device and the total energy consumption analysis result of the production line according to the energy consumption fitting coefficient includes the following steps: S510, calculating the average energy consumption of a single device according to the total energy consumption of the production line devices and drawing the corresponding average energy consumption curve of a single device.

[0075] S520, drawing the energy consumption curve of a single device and the total energy consumption curve of the production line devices, calculating the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and defining the device corresponding to the energy consumption curve of a single device as an energy consumption abnormal device when the slope dispersion value is greater than the preset value.

[0076] S530, judging whether there is a part of the energy consumption curve of a single device that is higher or lower than the average energy consumption curve of a single device exceeding the preset ratio. If it is higher, defining the energy consumption abnormal device as a high-saturation energy consumption abnormal device specifically. If it is lower, defining the energy consumption abnormal device as a low-saturation energy consumption abnormal device specifically.

[0077] In some other embodiments, it further includes the following steps: S600, obtain the device information of devices with abnormal high-saturation energy consumption and devices with abnormal low-saturation energy consumption, as well as their corresponding single-device energy consumption, and generate an energy consumption allocation instruction based on the difference between the single-device energy consumption corresponding to each energy consumption abnormal device and the average single-device energy consumption. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the device.

[0078] In some other embodiments, the following steps are further included: S700, calculate the ideal total energy consumption of the production line equipment according to the ideal production capacity of each device per unit time.

[0079] S710, calculate the total energy consumption difference according to the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, generate total energy consumption fluctuation data based on the total energy consumption difference in multiple unit times within the total production task time, and generate a single-device energy consumption inspection signal when the total energy consumption fluctuation data is greater than a preset value. The single-device energy consumption inspection signal is used to obtain the single-device energy consumption curve of each device to check whether there are devices with abnormal energy consumption.

[0080] In some other embodiments, the following steps are further included: S800, input a new production order and obtain the corresponding order information according to the new production order.

[0081] S810, obtain the order information, and generate an energy consumption prediction curve by combining the single-device energy consumption curve corresponding to each device, the total energy consumption curve of the production line equipment, and external variables in the future unit time. The energy consumption prediction curve includes a single-device energy consumption prediction curve and a total energy consumption prediction curve of the production line equipment. The external variables include at least the equipment commissioning time and the change amount of peak-valley electricity.

[0082] It should be understood that although each step in the flowchart of the accompanying drawings is shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit and can be executed in other orders.

[0083] The above are all the preferred embodiments of this application. The protection scope of this application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A system for analyzing energy consumption and scheduling, characterized in that: include: The acquisition module is used to obtain the equipment information and actual production data of each equipment in the production line; A capacity calculation module, used to calculate the ideal capacity of each of the equipment within a unit time, and associate the ideal capacity with the actual production data to obtain a capacity conversion rate; An energy consumption calculation module calculates the energy consumption of a single device and the total energy consumption of the production line equipment based on the capacity conversion rate of each device in a unit time combined with the actual production data, and calculates the energy consumption fitting coefficient of each device according to the energy consumption of the single device and the total energy consumption of the production line equipment. The energy consumption fitting coefficient is characterized by the degree of fitting between the energy consumption of each device itself and the total energy consumption of the production line equipment; A production change information input module, used to input production data change information and send it to the energy consumption calculation module so that the energy consumption calculation module recalculates the energy consumption of the single device and the total energy consumption of the production line equipment, and obtains the energy consumption fitting coefficient after the change; The energy consumption analysis module is used to obtain the energy consumption analysis results of a single device and the total energy consumption analysis results of the production line according to the energy consumption fitting coefficient when there is no production data change information, and is also used to generate the corresponding energy consumption analysis results of a single device and the total energy consumption analysis results of the production line according to the difference between the energy consumption fitting coefficient and the energy consumption fitting coefficient after the change when there is production data change information.

2. The energy consumption analysis system according to claim 1, characterized in that: The energy consumption calculation module is also used to calculate the average energy consumption of a single device according to the total energy consumption of the production line equipment, and draw a corresponding average energy consumption curve of a single device; The energy consumption analysis module is specifically used to draw a single device energy consumption curve and a total energy consumption curve of production line equipment, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the single device energy consumption curve as an abnormal energy consumption device when the slope dispersion value is greater than a preset value; The energy consumption analysis module is also specifically used to determine whether the energy consumption curve of the single device has a portion exceeding a preset proportion that is higher or lower than the average energy consumption curve of the single device. If it is higher, the energy consumption abnormal device is defined as a high-saturation energy consumption abnormal device; if it is lower, the energy consumption abnormal device is defined as a low-saturation energy consumption abnormal device.

3. The energy consumption analysis system according to claim 2 is characterized in that: It also includes a production capacity allocation module, which is used to obtain the equipment information of the high-saturation energy consumption abnormal equipment and the low-saturation energy consumption abnormal equipment and their corresponding single-device energy consumption, and generate an energy consumption allocation instruction based on the difference between the single-device energy consumption corresponding to each of the energy consumption abnormal equipment and the average energy consumption of the single equipment. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the equipment.

4. The energy consumption analysis system according to claim 1, characterized in that: The energy consumption calculation module is also used to calculate the ideal total energy consumption of the production line equipment based on the ideal production capacity of each of the devices per unit time. The energy consumption analysis module is also used to calculate the total energy consumption difference based on the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, and generate total energy consumption fluctuation data based on the total energy consumption difference in multiple unit times in the total production task time, and generate a single-device energy consumption troubleshooting signal when the total energy consumption fluctuation data is greater than a preset value. The single-device energy consumption troubleshooting signal is used to obtain the single-device energy consumption curve of each of the devices to check whether there are any abnormal energy consumption devices.

5. The energy consumption analysis system according to claim 2, characterized in that: It also includes a production order input module and an energy consumption prediction module. The production order input module is used to input new production orders and obtain corresponding order information based on the new production orders. The energy consumption prediction module is used to obtain the order information and generate an energy consumption prediction curve in combination with the single-device energy consumption curve corresponding to each device, the total energy consumption curve of the production line equipment and external variables per unit time in the future. The energy consumption prediction curve includes a single-device energy consumption prediction curve and a total energy consumption prediction curve of the production line equipment, and the external variables include at least the equipment commissioning time and the peak-valley electricity change.

6. A method for analyzing energy consumption of a scheduling system, characterized in that: The following steps are involved: Obtain equipment information and actual production data of each device in the production line; Calculating the ideal capacity of each of the equipment within a unit time, and associating the ideal capacity with the actual production data to obtain a capacity conversion rate; Based on the capacity conversion rate of each of the devices in unit time and the actual production data, the energy consumption of a single device and the total energy consumption of the production line equipment are calculated, and the energy consumption fitting coefficient of each of the devices is calculated according to the energy consumption of the single device and the total energy consumption of the production line equipment. The energy consumption fitting coefficient is characterized by the degree of fitting between the energy consumption of each of the devices and the total energy consumption of the production line equipment; Input the production data change information to recalculate the energy consumption of the single device and the total energy consumption of the production line equipment, and obtain the energy consumption fitting coefficient after the change; When the production data change information does not exist, obtaining a single device energy consumption analysis result and a production line total energy consumption analysis result according to the energy consumption fitting coefficient; When the production data change information exists, the corresponding single-device energy consumption analysis result and the total energy consumption analysis result of the production line are generated according to the energy consumption fitting coefficient and the difference between the energy consumption fitting coefficient after the change.

7. The method for analyzing the energy consumption of a discharge arrangement according to claim 6, characterized in that: Obtaining the single equipment energy consumption analysis result and the total energy consumption analysis result of the production line according to the energy consumption fitting coefficient includes the following steps: Calculate the average energy consumption of a single device based on the total energy consumption of the production line equipment, and draw a corresponding average energy consumption curve of a single device; Draw a single device energy consumption curve and a production line equipment total energy consumption curve, calculate the slope dispersion value between the two curves according to the energy consumption fitting coefficient, and define the device corresponding to the single device energy consumption curve as an abnormal energy consumption device when the slope dispersion value is greater than a preset value; Determine whether the single-device energy consumption curve has a portion exceeding a preset proportion that is higher or lower than the single-device average energy consumption curve. If it is higher, define the energy consumption abnormal device as a high-saturation energy consumption abnormal device; if it is lower, define the energy consumption abnormal device as a low-saturation energy consumption abnormal device.

8. The method for analyzing the energy consumption of a discharge arrangement according to claim 7, characterized in that: The following steps are also included: The device information of the high-saturation energy consumption abnormal device and the low-saturation energy consumption abnormal device and their corresponding single-device energy consumption are obtained, and an energy consumption allocation instruction is generated based on the difference between the single-device energy consumption corresponding to each of the energy consumption abnormal devices and the average energy consumption of the single device. The energy consumption allocation instruction is used to increase or decrease the output per unit time of the device.

9. The method for analyzing the energy consumption of a discharge arrangement according to claim 6, characterized in that: The following steps are also included: The ideal total energy consumption of the production line equipment is calculated based on the ideal production capacity of each device per unit time: The total energy consumption difference is calculated based on the ideal total energy consumption of the production line equipment and the total energy consumption of the production line equipment, and the total energy consumption fluctuation data is generated based on the total energy consumption difference in multiple unit times in the total production task time, and a single device energy consumption troubleshooting signal is generated when the total energy consumption fluctuation data is greater than a preset value. The single device energy consumption troubleshooting signal is used to obtain the single device energy consumption curve of each of the devices to check whether there is any abnormal energy consumption device.

10. The method for analyzing the energy consumption of a discharge arrangement according to claim 7, characterized in that: The following steps are also included: Input a new production order, and obtain corresponding order information according to the new production order; The order information is obtained, and an energy consumption prediction curve is generated by combining the single-device energy consumption curve corresponding to each device, the total energy consumption curve of the production line equipment, and external variables per unit time in the future, wherein the energy consumption prediction curve includes a single-device energy consumption prediction curve and a total energy consumption prediction curve of the production line equipment, and the external variables include at least the equipment commissioning time and the peak-valley electricity change.

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