Product output prediction method and system considering dynamic and static characteristics and process coupling

Abstract

The invention discloses a product output prediction method and system considering dynamic and static characteristics and process coupling. The method comprises the steps that IZP load model parameters and induction motor model parameters are determined; respectively establishing an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment to obtain the total energy consumption of each process or equipment; constructing a raw material-energy consumption-output model of the process or equipment; according to the production process, the total energy consumption and the raw material input quantity of each process or equipment are sequentially input into the raw material-energy consumption-output model of the process or equipment, the product output quantity of the corresponding process or equipment is obtained and serves as the raw material input quantity of the next process or equipment, and finally the product output quantity of the whole production process is obtained. Product output in the industrial production process can be accurately predicted according to raw material input, the production efficiency can be effectively improved, resource allocation is optimized, and the method is suitable for various industrial production processes.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial production energy consumption and output analysis, and relates to a product output prediction method and system taking into account dynamic and static characteristics and process coupling. Background Art

[0002] In the field of industrial production, with the continuous rise in energy costs and increasingly fierce market competition, it is increasingly critical to accurately grasp the relationship between energy consumption and output in the production process. Traditional energy consumption and output relationship analysis methods often fail to fully consider the substantial impact of voltage fluctuations on equipment energy consumption. In actual production, the voltage is not constant, and the energy consumption of the equipment will change significantly with the voltage fluctuation. Traditional analysis methods lack accurate calculation models for this, resulting in inaccurate energy consumption prediction.

[0003] In addition, traditional analysis methods generally ignore the complex coupling relationship between various processes or equipment. Industrial production is a continuous and interrelated process. The output of one process is often the input of the next process, and the processes influence and restrict each other. This coupling relationship has a profound impact on the energy consumption and output of the entire production process, but traditional analysis methods have failed to effectively incorporate it into the analysis framework, making it difficult to grasp the production process as a whole, unable to accurately predict product output, and thus unable to provide a reliable basis for production decisions.

[0004] In summary, traditional analysis methods have limitations in the analysis of energy consumption and output in industrial production. There is an urgent need for a more accurate and comprehensive method to solve these problems in order to meet the needs of modern industrial production for efficient and optimized management. Summary of the invention

[0005] In order to address the deficiencies in the prior art, the present invention provides a product output prediction method and system that takes into account dynamic and static characteristics and process coupling. By constructing a detailed and accurate model, it fully considers voltage changes, equipment dynamic characteristics, and the relationship between processes, thereby achieving accurate prediction from raw material input to product output, providing strong support for the optimized management of industrial production, and helping enterprises to improve production efficiency, reduce costs, and enhance market competitiveness.

[0006] The present invention adopts the following technical solution.

[0007] The first aspect of the present invention provides a product output prediction method considering dynamic and static characteristics and process coupling, comprising:

[0008] Determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes;

[0009] Determine induction motor model parameters that characterize the dynamic characteristics of the motor in a process or equipment;

[0010] Establishing an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, respectively, to obtain the total energy consumption of each process or equipment;

[0011] Construct a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output;

[0012] According to the production process, the total energy consumption and raw material input of each process or equipment are input into the raw material-energy consumption-output model of the process or equipment in turn, and the product output of the corresponding process or equipment is obtained and used as the raw material input of the next process or equipment, and finally the product output of the entire production process is obtained.

[0013] Preferably, the IZP load model that characterizes the static characteristics of a process or equipment with voltage variation is:

[0014]

[0015] in, is the active power consumed by the static load part, U is the load bus voltage, U 0 is the initial voltage of the load measuring point, They respectively represent the proportional coefficients of the constant impedance part, constant current part and constant power part in the static active load.

[0016] Preferably, the IZP load model parameters Determined by least squares fitting, the steps are as follows:

[0017] Constructing the proportionality coefficient about the constant impedance part Constant current part proportionality coefficient and constant power part proportionality factor The objective function J:

[0018]

[0019] Among them U 0 is the initial voltage of the load measuring point; U k is the measured voltage;

[0020] For J, find and The partial derivative of and set the partial derivative equal to 0, we get a system of three linear equations, and solve the system of equations to get and The fitted value of .

[0021] Preferably, the induction motor model characterizing the dynamic characteristics of the motor in the process or equipment is a third-order induction motor model, and its state equation and output equation are expressed as:

[0022]

[0023] Where:

[0024] X=X s +X m ;

[0025] X′=X s +X m X r / (X m +X r );

[0026] A+B+C=1;

[0027] T′ represents the mutual inductance time constant between the stator and rotor windings;

[0028] X represents the sum of stator reactance and magnetizing reactance;

[0029] X′ represents the stator equivalent reactance after considering the influence of rotor leakage reactance;

[0030] E′ d ,E′ q They are the d-axis transient internal potential and q-axis transient internal potential of the equivalent motor respectively;

[0031] I d ,I q are the d-axis and q-axis current components of the equivalent motor respectively; U d ,U q are the d-axis and q-axis voltage components of the equivalent motor respectively;

[0032] A, B, and C are the proportional coefficients of the parts of the mechanical torque of the equivalent motor that are related to the square of the speed, the parts that are linearly related to the speed, and the parts that are independent of the speed;

[0033] ω is the speed of the equivalent motor; T 0 is the rated mechanical torque of the equivalent motor; H is the inertia time constant of the equivalent motor.

[0034] Preferably, the method for determining the induction motor model parameters includes:

[0035] For R s and R r , obtained by DC resistance measurement;

[0036] For X m , calculated using the following formula: Among them I m , U m They are the no-load voltage and no-load current in the no-load test respectively;

[0037] For X s , calculated by combining no-load test and short-circuit test;

[0038] The speed ω is determined through load characteristic test and speed measurement.

[0039] Preferably, the IZP load energy consumption model of a process or equipment is:

[0040] E IZP,i =E Z，i +E I，i +E P，i

[0041]

[0042] Among them, E IZP,i is the IZP load energy consumption of process or equipment i;

[0043] E Z,i 、E I,i 、E P,i It is the energy consumption of the constant impedance part, constant current part, and constant power part of process or equipment i;

[0044] P j is the total power of the measuring point in the jth time period; They represent the proportionality coefficients of the constant impedance part, constant current part and constant power part in the static active load respectively;

[0045] U j is the voltage in the jth time period; U 0 is the initial voltage of the load measuring point; Δt is the duration of each time period; n is the total number of time periods.

[0046] Preferably, the induction motor energy consumption model of the process or equipment is:

[0047]

[0048] P out,i =T e，i ω i

[0049] Among them, E motor,i is the energy consumption of the induction motor of process or equipment i;

[0050] P in,i is the input power of the motor in process or equipment i; P out,i is the output power of the motor in process or equipment i;

[0051] I i is the total current of the motor in process or equipment i; t is the time;

[0052] R s,i is the stator resistance of the equivalent motor; R r,i is the rotor resistance;

[0053] I m,i It is the excitation current of the motor in process or equipment i; it is determined by the equipment technical manual and nameplate;

[0054] X m,i is the magnetizing reactance of the motor in process or equipment i;

[0055] T e,i It is the electromagnetic torque of the motor in process or equipment i, determined by the equipment technical manual and nameplate;

[0056] ω i is the speed of the motor in process or equipment i.

[0057] Preferably, the total energy consumption of process or equipment i is calculated as: E i =E IZP,i +E motor,i ;

[0058] Among them, E motor,i is the energy consumption of the induction motor of process or equipment i;

[0059] E IZP,i is the IZP load energy consumption of process or equipment i.

[0060] Preferably, step 4: constructing a raw material-energy consumption-output model of a process or equipment according to the total energy consumption of the process or equipment and its corresponding raw material input and product output; specifically as follows:

[0061] The raw material-energy consumption-output function relationship of the process or equipment is fitted according to the total energy consumption of the process or equipment and its corresponding raw material input and product output, and the optimal value of the raw material-energy consumption-output function coefficient is determined by solving the raw material-energy consumption-output optimization objective function to obtain the raw material-energy consumption-output model of the process or equipment.

[0062] Preferably, the linear relationship model of the raw material-energy consumption-output function relationship is:

[0063] O i =aM i +bE i +c

[0064] Correspondingly, the raw material-energy consumption-output optimization objective function is:

[0065] The nonlinear relationship model of the raw material-energy consumption-output function relationship is:

[0066]

[0067] Correspondingly, the raw material-energy consumption-output optimization objective function is:

[0068] Among them, E i 、M i , O i are the total energy consumption, raw material input, and product output of process or equipment i, respectively. a, b, c, and d are all function coefficients.

[0069] A second aspect of the present invention provides a product output prediction system that considers dynamic and static characteristics and process coupling, comprising:

[0070] A parameter determination module is used to determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes; determine the induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment;

[0071] An energy consumption calculation module is used to establish an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, so as to obtain the total energy consumption of each process or equipment;

[0072] A model building module for building a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output;

[0073] The product output calculation module is used to input the total energy consumption and raw material input of each process or equipment into the raw material-energy consumption-output model of the process or equipment in turn according to the production process, obtain the product output of the corresponding process or equipment and use it as the raw material input of the next process or equipment, and finally obtain the product output of the entire production process.

[0074] A third aspect of the present invention provides a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method.

[0075] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method when executed by a processor.

[0076] Compared with the prior art, the beneficial effects of the present invention include at least:

[0077] The present invention determines, for each process or equipment, IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes and induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment, and determines the model parameter values ​​through test data, calculates the energy consumption under different voltages, constructs a raw material-energy consumption-output model, and considers the coupling relationship between processes. It can accurately predict the product output in the industrial production process based on the raw material input, which can effectively improve production efficiency and optimize resource allocation, and is suitable for various industrial production processes.

[0078] The IZP load energy consumption model of the process or equipment of the present invention decomposes the energy consumption into three parts: constant impedance, constant current and constant power, comprehensively considers the impact of voltage changes on equipment energy consumption, and improves the accuracy of energy consumption prediction. The model can accurately calculate energy consumption at different voltage levels and is suitable for various industrial scenarios.

[0079] The raw material-energy consumption-output model of the process or equipment constructed by the present invention couples multiple variables, which not only takes into account the impact of raw material input and energy consumption on output, but also takes into account the nonlinear effect of energy consumption, and more accurately reflects the complex relationship in the actual production process. The model is suitable for different types of production processes and can provide accurate predictions whether it is a simple linear relationship or a complex nonlinear relationship. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 This is a flow chart of the product output prediction method considering dynamic and static characteristics and process coupling of the present invention. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0082] Embodiment 1 of the present invention provides a product output prediction method that takes into account dynamic and static characteristics and process coupling, and establishes an accurate production model to achieve optimized management, such as Figure 1 As shown, the method includes:

[0083] Step 1: Determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes;

[0084] Further preferably, for each process or equipment i, the IZP load model is used to characterize the static characteristics of the equipment at different voltage levels. The model decomposes the load characteristics of the equipment into three parts: constant impedance (Z), constant current (I) and constant power (P). The specific definitions are as follows:

[0085] Galvanostatic (I): The current drawn by a device remains constant during its operation, even if the voltage varies. Galvanostatic parameters can be determined by measuring the current of the device at different voltage levels.

[0086] Constant impedance (Z): refers to the situation where the device presents a fixed impedance, that is, the voltage is proportional to the current. The constant impedance parameter can be determined by measuring the ratio of the voltage across the device to the current flowing through it.

[0087] Constant power (P): refers to the situation where the power consumed by the device remains constant under all circumstances. For example, when the voltage changes, the device adjusts its current to maintain constant power. The constant power parameter can be determined by measuring the current of the device at different voltages to ensure that the power (P = V*I) remains consistent.

[0088] Definition of proportionality factor:

[0089] To quantify these characteristics, the following proportionality factors need to be determined: They respectively represent the proportional coefficients of the constant impedance part, constant current part and constant power part in the static active load.

[0090] Calculation of the proportionality factor:

[0091] For obtaining the proportional coefficients related to constant current (I), constant impedance (Z), and constant power (P), the detailed test data collection requirements are as follows:

[0092] Use high-precision power measuring instruments to measure each process or equipment at different voltage levels when the equipment is operating normally.

[0093] The voltage range should cover the voltage range in which the equipment may operate. For example, for common industrial electrical equipment, a test point can be taken every 5V within the range of ±15% of the rated voltage (for example, when the rated voltage is 380V, the value can be taken between 323V-437V).

[0094] Each test point needs to run stably for a period of time (such as 10 minutes) before recording data to ensure the accuracy and stability of the measured data.

[0095] Historical operation data screening criteria:

[0096] Select data showing that the equipment has been operating normally in the recent period (such as the past month) and that the production conditions are relatively stable.

[0097] Eliminate data records under abnormal conditions such as equipment startup, shutdown, and failure, and perform data integrity checks to ensure that key data such as active power, reactive power, voltage, and current exist and are reasonable.

[0098] is the active power consumed by the static load part, is the reactive power, U is the load bus voltage, U 0 is the initial voltage of the load measuring point.

[0099] The IZP load model can be expressed as:

[0100]

[0101] in, It is the active power consumed by the static load part, and U is the load bus voltage.

[0102] Respectively represent the proportional coefficients of the constant impedance part, constant current part and constant power part in the static active load, and satisfy K pm Represents the proportion of the equivalent motor in the comprehensive load (its definition and calculation will be explained in the induction motor model section).

[0103] These proportionality coefficients It can be obtained by statistical analysis of the equipment's test data and historical operation data, or determined by referring to relevant standards and empirical values. The specific acquisition method is:

[0104] Measure the electrical data of the equipment at different times and record multiple sets of voltage values ​​U k , current value I k And its corresponding apparent power value P k , and then use mathematical methods such as the least squares method to fit The detailed steps of the least squares method are as follows:

[0105] Assume the collected voltage value is U k (k=1,2,…,m), the corresponding active power value is P k .

[0106] Constructing the proportionality coefficient about the constant impedance part Constant current part proportionality coefficient and constant power part proportionality factor The objective function J:

[0107]

[0108] Among them U 0 is the initial voltage of the load measuring point; U k is the measured voltage;

[0109] For J, find and The partial derivative of and set the partial derivative equal to 0, we get a system of three linear equations, and solve the system of equations to get and The fitted value of .

[0110] Reactive power consumed by the static load The calculation formula is:

[0111]

[0112] Among them, is the proportional coefficient of the constant impedance part, constant current part and constant power part in the static reactive load, and satisfies Q mox is the reactive power consumed by the equivalent motor, Q 0 is the initial reactive power of the equivalent motor. The method of determining Similarly, it is obtained by measuring the reactive power data under different voltages and performing fitting.

[0113] Step 2: Determine the induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment;

[0114] Further preferably, an induction motor model is established to reflect the dynamic characteristics of the motor in the process or equipment.

[0115] The induction motor model adopts a third-order induction motor model, and its state equation and output equation are expressed as:

[0116]

[0117] Where:

[0118] X=X s +X m ;

[0119] X′=X s +X m X r / (X m +X r );

[0120] A+B+C=1;

[0121] T′ represents the mutual inductance time constant between the stator and rotor windings;

[0122] X represents the sum of stator reactance and magnetizing reactance;

[0123] X′ represents the stator equivalent reactance after considering the influence of rotor leakage reactance;

[0124] E′ d ,Eq ′ are the d-axis transient internal potential and q-axis transient internal potential of the equivalent motor respectively;

[0125] I d ,I q are the d-axis and q-axis current components of the equivalent motor respectively;

[0126] U d ,U q are the d-axis and q-axis voltage components of the equivalent motor respectively;

[0127] ω is the speed of the equivalent motor;

[0128] A, B, and C are the proportional coefficients of the mechanical torque of the equivalent motor with the square of the speed, the mechanical torque with a linear relationship with the speed, and the mechanical torque that has nothing to do with the speed;

[0129] T 0 is the rated mechanical torque of the equivalent motor;

[0130] H is the inertia time constant of the equivalent motor.

[0131] The electromagnetic torque Te of the motor is related to the current and potential, while the mechanical torque T of the motor is 0 It can be expressed as T 0 =(Aω 2 +Bω+C)T 0 .

[0132] Parameter R in the induction motor model s , X s , X m , R r , X r ,H,A,B,C,T 0 This can be determined by using the technical parameters provided by the equipment manufacturer, special tests on the motor, or by referring to the standard parameters of similar equipment. For example, for common types of motors, standard parameter values ​​can be found in relevant manuals based on their models and specifications; for specially customized motors, special tests are required to obtain accurate parameter values.

[0133] When the technical parameters provided by the equipment manufacturer are incomplete or inaccurate, the following methods can be used to determine the induction motor model parameters:

[0134] For the stator resistance R s and rotor resistance R r , can be obtained by DC resistance measurement. When the motor is stationary, use a DC power supply to apply a low voltage (generally not more than 10% of the rated voltage) to the motor winding, measure the current flowing through the winding, and calculate the resistance value according to Ohm's law. To improve the measurement accuracy, the three-phase winding resistance can be measured separately and the average value can be taken.

[0135] Stator leakage reactance X s and rotor leakage reactance X r It can be calculated by combining no-load test and short-circuit test. During no-load test, the motor runs at no-load under rated voltage and the input power P is measured. 0 , no-load current I 0 and no-load voltage U 0 , calculate the stator leakage reactance X according to the relevant formula s During the short-circuit test, the motor rotor is blocked, a low voltage (usually 10%-25% of the rated voltage) is applied to the stator winding, and the short-circuit current I is measured. sc、 Short circuit voltage U sc and input power P s c, and then calculate the rotor leakage reactance X r .

[0136] Motor magnetizing reactance X m According to the no-load test data and the obtained stator leakage reactance X s Calculation, the formula is (Approximate calculation, in actual application, it may need to be corrected according to the motor characteristics), where I m , U m They are the no-load voltage and no-load current in the no-load test respectively.

[0137] The inertia time constant H of the equivalent motor can be obtained through the motor's rotational inertia J and rated speed n N Calculation formula is Where P N is the rated power of the motor. The moment of inertia J can be obtained through theoretical calculation (for standard motor structure) or experimental measurement (such as using torsion pendulum experiment).

[0138] The proportional coefficients A, B, and C of the mechanical torque that are related to the square of the speed, the linear relationship with the speed, and the part that is independent of the speed can be determined through the load characteristic test of the motor. Under different load conditions (such as no load, half load, full load), measure the motor speed ω and mechanical torque T 0 , according to T 0 =(Aω 2 +Bω+C)T 0 Establish a system of equations and solve them to obtain the values ​​of A, B, and C. You can also solve them to obtain T 0 The value of .

[0139] For the speed ω and mechanical torque T 0 , can be determined by load characteristic test and speed measurement. For example, the motor speed ω and mechanical torque T can be measured under rated load. 0 .

[0140] Kpm (equivalent motor ratio) and Mlf (rated initial load factor) are calculated as follows:

[0141] K pm =P 0 ′ / P 0

[0142] Among them, P0 is the initial active power of the load measurement point; P0′ is the initial active power of the equivalent motor.

[0143]

[0144] Among them, SMB and UB are the rated capacity and rated voltage of the equivalent motor in the load model respectively; U0 is the initial voltage of the load measurement point.

[0145] The above-mentioned IZP load model and induction motor model constitute a comprehensive load model.

[0146] Step 3: Establish an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, so as to obtain the total energy consumption of each process or equipment;

[0147] Further preferably, the energy consumption of a process or equipment under different voltage conditions is calculated based on the constructed comprehensive load model, and the energy consumption calculation is divided into two parts: IZP load model energy consumption and induction motor model energy consumption.

[0148] Step 301, IZP load model energy consumption calculation:

[0149] For the IZP load model energy consumption, the energy consumption is calculated based on the constant impedance (Z), constant current (I) and constant power (P) parts respectively and then summed.

[0150] (1) Calculation of energy consumption at constant impedance: The energy consumption at constant impedance refers to the energy consumption of the device at different voltage levels. Assume that the device behaves as a fixed impedance. Let the equivalent impedance of device i at the initial voltage be Zi. In the time interval [0, t], divide the time into n small time periods △t. In each △t, the voltage is assumed to be constant and is set to Uj, (j represents the jth small time period). Then the current power The energy consumption of the constant impedance part in △t is ΔE Z,i =P Z,j In the entire time interval [0, t], the energy consumption in each △t is accumulated to obtain the total constant impedance energy consumption

[0151] E Z,i is the constant impedance partial energy consumption of device i; P j is the total power of the measuring point in the jth time period; is the proportional coefficient of the constant impedance part; U j is the voltage in the jth time period; U 0 is the initial voltage of the load measuring point; Δt is the duration of each time period; n is the total number of time periods.

[0152] (2) Calculation of energy consumption of constant current part:

[0153] Definition: The constant current partial energy consumption represents the energy consumption of a device at different voltage levels, assuming that the current drawn by the device remains constant.

[0154] Assume that the constant current value of device i is I i,0 (Its Related, assuming that I i,0 value), within each Δt, the power P I,i =I i,0 U j , the energy consumption of the constant current part in this Δt is ΔE I,i =P I,i Δt. The total constant current energy consumption is accumulated over the entire time interval [0, t]

[0155]

[0156] Among them, E I,i is the constant current partial energy consumption of device i; is the proportionality coefficient of the constant current part;

[0157] (3) Calculation of energy consumption of constant power part: given constant power The corresponding power value is P P,i , energy consumption ΔE in each Δt P,i =P P,i Δt, total constant power consumption

[0158] Among them, E P,i is the constant power partial energy consumption of device i;

[0159] (4) The total energy consumption of the IZP load model is the sum of the energy consumption of the constant impedance part, the constant current part, and the constant power part. The total IZP energy consumption of process or equipment i is E IZP,i =E Z,i +E I,i +E P,i .

[0160] Among them, E IZP,i is the total energy consumption of the IZP load model of equipment i.

[0161] Step 302: Calculate the energy consumption of the induction motor model:

[0162] For the induction motor model energy consumption, according to the motor equivalent circuit principle, the motor input power P in It can be expressed as Where I is the total current of the motor, I m is the excitation current;

[0163] The output power of the motor P out =T e ω, where T e is the electromagnetic torque, ω is the speed, and their relationship has been mentioned in the description of the dynamic characteristics of the induction motor model.

[0164] Energy consumption of induction motor model By dividing the time into small segments, the energy consumption in each segment is calculated and accumulated. In the calculation process, it is necessary to use the dynamic characteristic equation of the motor (such as the relationship between the speed ω and time) and the electromagnetic torque T e The relationship with other parameters is calculated in combination with actual operating data or set operating conditions.

[0165] Based on the above analysis, for process or equipment i, the induction motor energy consumption model of the process or equipment is:

[0166]

[0167] P out,i =T e,i ω i

[0168] Among them, E motor,i is the energy consumption of the induction motor of process or equipment i;

[0169] P in,i is the input power of the motor in process or equipment i; P out,i is the output power of the motor in process or equipment i;

[0170] I i is the total current of the motor in process or equipment i; t is the time;

[0171] R s,i is the stator resistance of the equivalent motor; R r,i is the rotor resistance;

[0172] I m,i It is the excitation current of the motor in process or equipment i; it is determined by the equipment technical manual and nameplate;

[0173] X m,i is the magnetizing reactance of the motor in process or equipment i;

[0174] T e,iIt is the electromagnetic torque of the motor in process or equipment i, determined by the equipment technical manual and nameplate;

[0175] ω i is the speed of the motor in process or equipment i.

[0176] Step 303: Total energy consumption E of process or equipment i i =E IZP,i +E motor,i。

[0177] Among them, E motor,i is the energy consumption of the induction motor of process or equipment i;

[0178] E IZP,i is the IZP load energy consumption of process or equipment i.

[0179] Step 4: Construct a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output, and determine the relationship between the raw material input and product output of the process or equipment;

[0180] Further preferably, the relationship between the raw material input Mi and the product output Oi of the process or equipment i is determined. The functional relationship O between the two is established through statistical analysis of a large amount of production experimental data and actual operation data. i =f(M i ,E i ).

[0181] For example, for some simple production processes, there may be a linear relationship O i =aM i +bE i +c (a, b, c are coefficients obtained by data fitting);

[0182] Carry out multiple groups of different raw material input amounts M i and energy consumption E i Production experiment, record the corresponding product output O i . Collect at least 10 sets of experimental data to ensure the reliability and representativeness of the data.

[0183] Using the linear regression method, the experimental data is substituted into the linear regression model to calculate the optimal values ​​of coefficients a and b. The principle of least squares method can be used to make the actual output O i and predicted output aM i +bE i +c, the sum of squared errors is the smallest, that is The coefficients a, b, and c are obtained by solving the optimization problem.

[0184] For complex production processes, it may be necessary to use nonlinear functions or piecewise functions to describe this relationship. The function form can be determined based on the specific production process and equipment characteristics.

[0185] Consider the coupling relationship between processes or equipment, that is, the output of some processes is the input of the subsequent processes. Assume that the input of process j depends on the output of process i, then M j =g(O i ), where g is a function that represents the input-output relationship between processes, and its specific form is also determined through analysis of the production process and data statistics. In this way, the raw material-energy consumption-output relationship of each process or equipment is connected in series to build a raw material-energy consumption-output model for the entire production process.

[0186] Nonlinear relationship model of raw material-energy consumption-output function relationship:

[0187]

[0188] Correspondingly, the raw material-energy consumption-output optimization objective function is:

[0189] Among them, E i 、M i , O i are the total energy consumption, raw material input, and product output of process or equipment i, respectively. a, b, c, and d are all function coefficients.

[0190] Step 5: According to the production process, input the total energy consumption and raw material input of each process or equipment into the raw material-energy consumption-output model of the process or equipment in turn, obtain the product output of the corresponding process or equipment and use it as the raw material input of the next process or equipment, and finally obtain the product output of the entire production process.

[0191] Further preferably, the raw material input is substituted into the raw material-energy consumption-output model to calculate the product output, and the output is predicted based on the raw material as follows:

[0192] Given the initial raw material information M0 required for product production, substitute it into the raw material-energy consumption-output model of the first process to calculate the product output O1 and energy consumption E1 of the process.

[0193] Substitute O1 into the corresponding model as the input M2 of the next process to calculate the product output O2 and energy consumption E2 of the process. Similarly, calculate the output and energy consumption of each process in turn until the last process to obtain the final product output On. During the calculation process, it is necessary to accurately calculate the energy consumption of each process based on the voltage conditions in actual production using a comprehensive load model to ensure the accuracy of the prediction results.

[0194] Taking cement production as an example, the above scheme is introduced as follows:

[0195] The cement production process selection and data acquisition are as follows:

[0196] The three key processes of raw material preparation, clinker calcination and cement grinding in cement production are selected as the research objects in the embodiments.

[0197] For equipment in the raw material preparation process, relevant data is obtained through special load characteristic tests. During the test, a high-precision power analyzer is used to measure the power consumption of the equipment at different voltage levels (such as 350V to 410V, with a test point every 10V).

[0198] Record multiple groups of voltage values ​​U k And its corresponding active power value P k And reactive power value Q k At the same time, the initial operating parameters of the equipment are obtained, such as the initial active power P of the load measurement point. 0A =80kW, initial reactive power Q 0A =30kvar, and the relevant parameters of the motor in the equipment (assuming the rated capacity of the motor is S MBA =40kVA, rated voltage U B =380V).

[0199] The same method is used to test the equipment in the clinker calcining and cement grinding processes to obtain their respective power data and initial operating parameters. 0B =120kW,Q 0B =40kvar, P of cement grinding process equipment 0C =100kW,Q 0C =35kvar, etc. (This is only sample data, the actual data needs to be obtained based on specific tests).

[0200] Step 1-Step 2 Establish the comprehensive load model of each process:

[0201] (1) Establishment of comprehensive load model for raw material preparation process (ball mill, represented by letter A):

[0202] 1) IZP load model establishment:

[0203] According to the acquired power data, the least squares method is used to fit and The value of . After calculation, we get:

[0204]

[0205] 2) Induction motor model establishment

[0206] Determine the induction motor model parameters through the technical manual or special test provided by the equipment manufacturer.

[0207] R sA =0.35Ω,X sA =0.25Ω,X mA =1.8Ω,R rA =0.3Ω,X rA =0.18Ω,

[0208] H A =0.65s, A A =0.28, B A =0.32, C A =0.4, T 0A =7N·m.

[0209] (2) Establishment of comprehensive load model for clinker calcining process (rotary kiln, represented by letter B):

[0210] 1) Establishment of IZP load model

[0211] The test data was fitted

[0212] 2) Induction motor model establishment

[0213] Determine the motor parameters as:

[0214] R sB =0.4Ω,X sB =0.3Ω,X mB =2.2Ω,R rB =0.32Ω,X rB =0.2Ω,H B =

[0215] 0.75s,A B =0.26,B B =0.34,C B =0.4,T 0B =9N·m.

[0216] (3) Establishment of comprehensive load model for cement grinding process (cement grinding, represented by the letter C)

[0217] 1) Establishment of IZP load model

[0218] Calculated

[0219] 2) Induction motor model establishment

[0220] The motor parameter is R sC =0.38Ω,X sC=0.28Ω,X mC =2.0Ω,R τC =0.33Ω,X rC =0.19Ω,H C =0.7s,A C =0.27,B C =0.33,C C =0.4,T 0C =8N·m.

[0221] Step 3: Calculate the total energy consumption of each process:

[0222] 1. Calculation of energy consumption of raw material preparation process (equipment A)

[0223] (1) IZP load model energy consumption calculation

[0224] Assume that in a production cycle T = 6 hours, the voltage fluctuates between 360V and 390V, and T is divided into m = 360 small time periods Δt = 1 minute.

[0225] 1) Calculation of energy consumption of constant impedance part:

[0226] Known Z A =8Ω(by Calculated by other parameters), within a certain Δt, voltage U=370V,

[0227] Current

[0228] power

[0229] The energy consumption of the constant impedance part within Δt is ΔE ZA =P ZA Δt=16900×1 / 60≈281.67Wh.

[0230] In the entire production cycle T, the total constant impedance energy consumption E is accumulated ZA ≈101400Wh.

[0231] 2) Calculation of energy consumption of constant current part:

[0232] Known I A0 =4A(by Calculated),

[0233] Within the above Δt, P IA =I A0 U=4×370=1480W,

[0234] The energy consumption of the constant current part within Δt is ΔE IA =P IAΔt=1480×1 / 60≈24.67Wh.

[0235] The total constant current energy consumption E is accumulated over the entire production cycle T. IA ≈8880Wh.

[0236] 3) Calculation of energy consumption of constant power part:

[0237] Known P PA =35000W(by Determined by the relationship with the total power of the equipment),

[0238] Energy consumption ΔE in each Δt PA =P PA Δt=35000×1 / 60≈583.33Wh,

[0239] Total constant power energy consumption E PA ≈209998.8Wh.

[0240] The total energy consumption of ZIP of device A is E ZIPA =E ZA +E IA +E PA ≈319278.8Wh

[0241] (2) Energy consumption calculation of induction motor model

[0242] The total motor current I is obtained by calculation or measurement A =12A, excitation current I mA =2A, then the input power

[0243]

[0244] Assuming the motor efficiency ηA=0.85, the electromagnetic torque T eA =15N·m, speed ω A =90rad / s, then the output power:

[0245] P outA =T eA ω A =15×90=1350W.

[0246] The actual input power is

[0247] In Δt = 1 second, the energy consumption of the induction motor model is

[0248] ΔE motorA =(P inA -P outA )Δt=(1588.24-1350)×1=238.24J.

[0249] During the entire production cycle T, the total motor energy consumption E is calculated by cumulative calculation. motorA ≈5050000J≈1397.22Wh

[0250] The total energy consumption E of equipment A A =E AIZP +E motorA =319278.8+1397.22=320676.02Wh.

[0251] 2. Energy consumption calculation of clinker calcination process (equipment B)

[0252] According to the calculation method similar to that of equipment A, the energy consumption of the IZP load model (including the energy consumption of constant impedance, constant current, and constant power parts) and the energy consumption of the induction motor model are calculated according to the parameters of the process equipment, voltage fluctuations, and production cycle, and then the total energy consumption of the equipment E is obtained. B =E B IZP+E motorB =380000+2291.67=382291.67Wh.

[0253] 3. Energy consumption calculation of cement grinding process (equipment C)

[0254] According to the calculation method similar to that of equipment A, the energy consumption of the IZP load model (including the energy consumption of constant impedance, constant current, and constant power parts) and the energy consumption of the induction motor model are calculated according to the parameters of the process equipment, voltage fluctuations, and production cycle, and then the total energy consumption of the equipment E is obtained. C =E CIZP +E motorC =277000+1166.67=278166.67Wh.

[0255] Step 4-Step 5: Construct the raw material-energy consumption-output model to obtain the product output of the entire production process:

[0256] (1) Raw material preparation process

[0257] For the raw material preparation process, record the raw material input M for different batches of production in detail A (Based on the total input of limestone, clay, etc., unit: tons) and the corresponding raw material output O A (Unit: tons). At the same time, accurately obtain the energy consumption E of this process during the production process A Data, which are derived from the total energy consumption of equipment A under different production conditions calculated previously. For example, data from the past n (n ≥ 10) production batches are collected to form a data set (M A1 ,O A1 ,E A1),(M A2 ,O A2 ,E A2 ),…,(M An ,O An ,E An ).

[0258] 2. Preliminary analysis and function form selection

[0259] The collected data was preliminarily analyzed, and scatter plots of raw material input and output, and energy consumption and output were drawn. Through observation, it was found that the raw material output and raw material input were generally positively correlated, but not a simple linear relationship. The impact of energy consumption on output showed certain nonlinear characteristics (for example, as energy consumption increased, output first increased and then may slightly decrease due to equipment overload and other reasons).

[0260] Based on the above analysis, we choose a suitable function form to fit the data. Due to the nonlinear characteristics of the data, we consider using a quadratic function form. (where a, b, c, and d are coefficients to be determined) are used to describe the raw material-energy consumption-output relationship of the raw material preparation process.

[0261] 3. Use the least squares method to fit the coefficients

[0262] Let y i =O Ai (i=1,2,…,n) is the actual observed output value, is the predicted yield value calculated based on the selected functional form.

[0263] Constructing the objective function

[0264] Find the partial derivatives of a, b, c, and d respectively:

[0265]

[0266]

[0267] Let the above partial derivatives be equal to 0, and we get a system of four-variable linear equations:

[0268]

[0269] Solve this system of equations and get the values ​​of coefficients a, b, and c. By calculation, we get a = 0.8, b = 0.005, c = -0.002, and after calculation and analysis, we find that the value of d has little effect on the result (within a certain error range) and can be approximated to 0.

[0270] The raw material-energy consumption-output model of the raw material preparation process is finally determined as

[0271] The model shows that raw material output is positively correlated with raw material input, and has a complex nonlinear relationship with energy consumption. Excessive or low energy consumption may affect output, reflecting the impact of energy consumption on production efficiency in actual production.

[0272] (2) Clinker Calcination Process

[0273] The raw material of this process is the product of the raw material preparation process, namely M B =O A , the product is clinker, and the output is recorded as O B , unit: ton.

[0274] The raw material-energy consumption-output model of clinker calcination process was established.

[0275] The model reflects the relationship between clinker output and the amount of raw material input and the energy consumption of this process. The impact of energy consumption on output also presents nonlinear characteristics, reflecting the energy utilization efficiency and production characteristics of the clinker calcination process.

[0276] (3) Cement grinding process

[0277] The raw material of cement grinding process is the product of clinker calcination process, namely M C =O B The product is cement, and the output is recorded as O C (Unit: tons).

[0278] Establish the raw material-energy consumption-output model of cement grinding process,

[0279] This model reflects the relationship between cement output and the amount of clinker input and the energy consumption of this process. The quadratic coefficient of energy consumption is small, indicating that in the cement grinding process, the impact of energy consumption on output is relatively gentle, but still cannot be ignored.

[0280] Further preferably, step 6 of model verification and optimization is also included

[0281] Step 601: Data comparison and error analysis:

[0282] After completing cement production O C After the prediction is made, the prediction result is compared with the cement production data in actual production. The actual production data of multiple production batches are collected and the error between the predicted value and the actual value is calculated.

[0283] For example, in 10 consecutive production batches, calculate the relative error of each batch in is the predicted output of the i-th batch, is the actual output of the i-th batch.

[0284] The causes of analytical errors may include inaccurate model parameters, interference factors in the actual production process that have not been fully considered (such as sudden equipment failures, fluctuations in raw material quality, etc.), and measurement errors. For example, if a batch is found to have a large error, check the equipment operation records and raw material quality inspection reports during the production of the batch to see if there are any abnormalities.

[0285] Step 602: Model parameter adjustment:

[0286] Adjust the model parameters based on the error analysis results. If the energy consumption calculation error of a process is found to be large, it may be necessary to re-evaluate the IZP load model parameters or induction motor model parameters of the process equipment. For example, if the energy consumption forecast of the raw material preparation process is found to be too low, it may be necessary to re-measure and re-fit. Equal proportionality factor, or check motor parameter R sA ,X sA Wait for it to be accurate.

[0287] Adjust the coefficients in the raw material-energy consumption-output model. If there is always a certain deviation between the predicted output and the actual output, it may be necessary to re-analyze the production data and optimize the coefficients a, b, etc. in the model. For example, if it is found that the overall predicted output is too high, the value of the raw material input coefficient a can be appropriately reduced, and then the prediction and comparison can be carried out again until the accuracy of the model meets the requirements.

[0288] Step 603: Long-term monitoring and continuous optimization:

[0289] During the cement production process, the operating data of each process is continuously monitored, including voltage, current, power, raw material input, product output, etc. The model is updated and optimized regularly (such as monthly or quarterly) based on the newly acquired data to adapt to changes in the production process (such as performance changes caused by equipment aging, changes in raw material characteristics caused by changes in raw material supply channels, etc.).

[0290] Establish a model performance evaluation index system. In addition to the accuracy of production forecasts, other indicators such as energy consumption forecast accuracy and the model's adaptability to different working conditions can also be considered. Based on the evaluation results, improve the model in a targeted manner to ensure that the model always maintains high reliability and practicality in long-term operation.

[0291] Embodiment 2 of the present invention provides a product output prediction system that considers dynamic and static characteristics and process coupling, including:

[0292] A parameter determination module is used to determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes; determine the induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment;

[0293] An energy consumption calculation module is used to establish an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, so as to obtain the total energy consumption of each process or equipment;

[0294] A model building module for building a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output;

[0295] The product output calculation module is used to input the total energy consumption and raw material input of each process or equipment into the raw material-energy consumption-output model of the process or equipment in turn according to the production process, obtain the product output of the corresponding process or equipment and use it as the raw material input of the next process or equipment, and finally obtain the product output of the entire production process.

[0296] Embodiment 3 of the present invention provides a terminal, including a processor and a storage medium; the storage medium is used to store instructions;

[0297] The processor is configured to operate according to the instructions to execute the steps of the method.

[0298] Embodiment 4 of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method when executed by a processor.

[0299] Compared with the prior art, the beneficial effects of the present invention include at least:

[0300] The present invention determines, for each process or equipment, IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes and induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment, and determines the model parameter values ​​through test data, calculates the energy consumption under different voltages, constructs a raw material-energy consumption-output model, and considers the coupling relationship between processes. It can accurately predict the product output in the industrial production process based on the raw material input, which can effectively improve production efficiency and optimize resource allocation, and is suitable for various industrial production processes.

[0301] Compared with the prior art, the beneficial effects of the present invention include at least:

[0302] The present invention determines, for each process or equipment, IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes and induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment, and determines the model parameter values ​​through test data, calculates the energy consumption under different voltages, constructs a raw material-energy consumption-output model, and considers the coupling relationship between processes. It can accurately predict the product output in the industrial production process based on the raw material input, which can effectively improve production efficiency and optimize resource allocation, and is suitable for various industrial production processes.

[0303] The IZP load energy consumption model of the process or equipment of the present invention decomposes the energy consumption into three parts: constant impedance, constant current and constant power, comprehensively considers the impact of voltage changes on equipment energy consumption, and improves the accuracy of energy consumption prediction. The model can accurately calculate energy consumption at different voltage levels and is suitable for various industrial scenarios.

[0304] The raw material-energy consumption-output model of the process or equipment constructed by the present invention couples multiple variables, which not only takes into account the impact of raw material input and energy consumption on output, but also takes into account the nonlinear effect of energy consumption, and more accurately reflects the complex relationship in the actual production process. The model is suitable for different types of production processes and can provide accurate predictions whether it is a simple linear relationship or a complex nonlinear relationship.

[0305] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0306] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0307] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0308] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0309] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A product output prediction method considering dynamic and static characteristics and process coupling, characterized in that: include: Determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes; Determine induction motor model parameters that characterize the dynamic characteristics of the motor in a process or equipment; Establishing an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, respectively, to obtain the total energy consumption of each process or equipment; Construct a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output; According to the production process, the total energy consumption and raw material input of each process or equipment are input into the raw material-energy consumption-output model of the process or equipment in turn, and the product output of the corresponding process or equipment is obtained and used as the raw material input of the next process or equipment, and finally the product output of the entire production process is obtained.

2. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: The IZP load model that characterizes the static characteristics of a process or equipment with voltage changes is: in, is the active power consumed by the static load part, U is the load bus voltage, U0 is the initial voltage of the load measuring point, They respectively represent the proportional coefficients of the constant impedance part, constant current part and constant power part in the static active load.

3. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 2 is characterized by: IZP load model parameters Determined by least squares fitting, the steps are as follows: Constructing the proportionality coefficient about the constant impedance part Constant current part proportionality coefficient and constant power part proportionality factor The objective function J is: Where U0 is the initial voltage of the load measuring point; U k is the kth voltage value measured; K pm represents the proportion of equivalent motors in the comprehensive load; m is the total number of measured voltage values; For J, find and The partial derivative of and set the partial derivative equal to 0, we get a system of three linear equations, and solve the system of equations to get and The fitted value of .

4. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: The induction motor model that characterizes the dynamic characteristics of the motor in the process or equipment is a third-order induction motor model, and its state equation and output equation are expressed as: Where: X=X s +X m ; X′=X s +X m X r / (X m +X r ); A+B+C=1; T′ represents the mutual inductance time constant between the stator and rotor windings; X represents the sum of stator reactance and magnetizing reactance; X′ represents the stator equivalent reactance after considering the influence of rotor leakage reactance; E′ d ,E q ′ are the d-axis transient internal potential and q-axis transient internal potential of the equivalent motor respectively; I d ,I q are the d-axis and q-axis current components of the equivalent motor respectively; U d ,U q are the d-axis and q-axis voltage components of the equivalent motor respectively; A, B, and C are the proportional coefficients of the parts of the mechanical torque of the equivalent motor that are related to the square of the speed, the parts that are linearly related to the speed, and the parts that are independent of the speed; ω is the speed of the equivalent motor; T0 is the rated mechanical torque of the equivalent motor; H is the inertia time constant of the equivalent motor.

5. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 4 is characterized by: The method for determining the induction motor model parameters includes: For R s and R r , obtained by DC resistance measurement; For X m , calculated using the following formula: Among them I m , U m They are the no-load voltage and no-load current in the no-load test respectively; For X s , calculated by combining no-load test and short-circuit test; The speed ω is determined through load characteristic test and speed measurement.

6. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: The IZP load energy consumption model of a process or equipment is: AND IZP,i =And Z,i +E I,i +E P,i Among them, E IZP,i is the IZP load energy consumption of process or equipment i; E Z,i 、E I,i 、E P,i It is the energy consumption of the constant impedance part, constant current part, and constant power part of process or equipment i; P j is the total power of the measuring point in the jth time period; Respectively represent the proportional coefficients of the constant impedance part, constant current part and constant power part in the static active load; U j is the voltage in the jth time period; U0 is the initial voltage of the load measuring point; Δt is the duration of each time period; n is the total number of time periods.

7. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: The energy consumption model of the induction motor of a process or equipment is: P out,i =T e,i oh i Among them, E motor,i is the energy consumption of the induction motor of process or equipment i; P in,i is the input power of the motor in process or equipment i; P out,i is the output power of the motor in process or equipment i; I i is the total current of the motor in process or equipment i; t is the time; R s,i is the stator resistance of the equivalent motor; R r,i is the rotor resistance; I m,i It is the excitation current of the motor in process or equipment i; it is determined by the equipment technical manual and nameplate; X m,i is the magnetizing reactance of the motor in process or equipment i; T e,i It is the electromagnetic torque of the motor in process or equipment i, determined by the equipment technical manual and nameplate; ω i is the speed of the motor in process or equipment i.

8. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: The total energy consumption of process or equipment i is calculated as: E i =E IZP,i +E motor,i ; Among them, E motor,i is the energy consumption of the induction motor of process or equipment i; E IZP,i is the IZP load energy consumption of process or equipment i.

9. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 1 is characterized by: Step 4: Construct a raw material-energy consumption-output model for a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output; the details are as follows: The raw material-energy consumption-output function relationship of the process or equipment is fitted according to the total energy consumption of the process or equipment and its corresponding raw material input and product output, and the optimal value of the raw material-energy consumption-output function coefficient is determined by solving the raw material-energy consumption-output optimization objective function to obtain the raw material-energy consumption-output model of the process or equipment.

10. The product output prediction method considering dynamic and static characteristics and process coupling according to claim 9 is characterized in that: The linear relationship model of the raw material-energy consumption-output function relationship is: O i =aM i +bE i +c Correspondingly, the raw material-energy consumption-output optimization objective function is: The nonlinear relationship model of the raw material-energy consumption-output function relationship is: Correspondingly, the raw material-energy consumption-output optimization objective function is: Among them, E i 、M i , O i are the total energy consumption, raw material input, and product output of process or equipment i, respectively. a, b, c, and d are all function coefficients.

11. A product output prediction system considering dynamic and static characteristics and process coupling, using the method according to any one of claims 1 to 10, characterized in that: The system comprises: A parameter determination module is used to determine the IZP load model parameters that characterize the static characteristics of the process or equipment with voltage changes; determine the induction motor model parameters that characterize the dynamic characteristics of the motor in the process or equipment; An energy consumption calculation module is used to establish an IZP load energy consumption model and an induction motor energy consumption model of each process or equipment based on the IZP load model parameters and the induction motor model parameters, so as to obtain the total energy consumption of each process or equipment; A model building module for building a raw material-energy consumption-output model of a process or equipment based on the total energy consumption of the process or equipment and its corresponding raw material input and product output; The product output calculation module is used to input the total energy consumption and raw material input of each process or equipment into the raw material-energy consumption-output model of the process or equipment in turn according to the production process, obtain the product output of the corresponding process or equipment and use it as the raw material input of the next process or equipment, and finally obtain the product output of the entire production process.

12. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

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