Method for identifying evolution path of voltage sag consequence

Abstract

The invention provides a method for identifying a voltage sag consequence evolution path, and relates to the technical field of voltage transient evaluation, and the method comprises the steps: obtaining a voltage sag characteristic parameter and a voltage sag influence parameter; based on the voltage sag characteristic parameters, analyzing by utilizing corresponding boundary values of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data; based on the voltage sag influence parameter, analyzing the production process energy flow and the production process material flow to obtain consequence degree data; and based on the consequence characteristic data and the consequence degree data, analyzing the transmission characteristics by using the voltage sag consequence transmission model to obtain a voltage sag consequence evolution path, and completing identification of the voltage sag consequence evolution path. The hidden consequences can be recognized in time, and the problem that the dominant consequences are aggravated due to transmission and superposition of the hidden consequences is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of voltage transient assessment, and in particular to a method for identifying an evolution path of voltage sag consequences. Background Art

[0002] In modern industrial production systems, intelligent manufacturing instruments are widely used to improve production quality and efficiency, and intelligent manufacturing instruments are very sensitive to voltage sag disturbances. Voltage sags can easily cause intelligent manufacturing instruments to fail and shut down, affecting users' continuous, high-quality and high-volume production, causing huge losses and risks to users' production. Therefore, timely identification of the consequences of voltage sags can provide guidance for users to economically and efficiently avoid voltage sag risks and reduce economic losses caused by voltage sags.

[0003] User production activities are to utilize a series of production factors (manpower, capital, equipment, raw materials, electric energy, etc.) through sorting and combining. The physical essence of its operation is that the material flow (raw materials, parts, etc.) is driven and acted upon by the energy flow (electrical energy, mechanical energy, etc.), and dynamically and orderly exchanges materials and energy in the production structure to achieve the accumulation of value. The production process is composed of more than two links, and there is a conversion of energy, material and value between each link. Therefore, the description of the impact of voltage sag on user production needs to be considered from the perspective of energy flow, material flow and value flow. The existing methods all analyze the production process as a whole, and the methods are relatively segmented, and can only identify explicit consequences (for example, equipment failure, process interruption), but not implicit consequences. In addition, the existing methods are mostly targeted at a certain device or a certain process, and do not consider the evolution of consequence transmission between devices and the evolution of consequence transmission between the various links of the production process. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, a method for identifying the evolution path of voltage sag consequences provided by the present invention can timely identify implicit consequences and avoid the problem of aggravating explicit consequences due to the transmission and superposition of implicit consequences.

[0005] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: a method for identifying the evolution path of voltage sag consequences, comprising:

[0006] Obtain voltage sag characteristic parameters and voltage sag impact parameters;

[0007] Based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain consequence characteristic data;

[0008] Based on the voltage sag impact parameters, the consequence degree data is obtained by analyzing the energy flow and material flow of the production process;

[0009] Based on the consequence characteristic data and the consequence degree data, the transfer characteristics are analyzed using a voltage sag consequence transfer model to obtain a voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path.

[0010] Furthermore, the voltage sag characteristic parameters are analyzed using corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data, including:

[0011] By analyzing the production equipment and operating parameters, an equipment tolerance curve and a process parameter curve are obtained; the equipment tolerance curve and the process parameter curve belong to voltage sag characteristic parameters;

[0012] Based on the equipment tolerance curve and in combination with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic;

[0013] Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

[0014] Furthermore, the first consequence characteristic obtained by analyzing the device tolerance curve in combination with the voltage sag amplitude includes:

[0015] Based on the equipment tolerance curve, the voltage sag amplitude-duration severity comprehensive index is used, combined with the voltage sag amplitude for analysis, and the first consequence characteristic is obtained:

[0016]

[0017]

[0018]

[0019]

[0020] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T max Indicates the time upper limit of the tolerance of sensitive equipment, T min The lower time limit of the tolerance of sensitive equipment, U max It indicates the upper limit of the tolerance of sensitive equipment, U indicates the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance capability of sensitive equipment.

[0021] Furthermore, the expression of the second consequence characteristic is:

[0022]

[0023] in, Represents the second consequence characteristic, P nom It indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0024] Furthermore, the consequence degree data obtained by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameter includes:

[0025] By analyzing the downtime and expected time, the energy flow consequences of the production process are obtained;

[0026] By analyzing the defective quantity and the expected output, combined with the energy flow consequence of the production process, the material flow consequence of the production process is obtained; wherein the downtime, the expected time, the defective quantity and the expected output belong to the voltage sag impact parameters;

[0027] Based on the energy flow consequences of the production process and the material flow consequences of the production process, the value flow consequences of the production process are obtained by calculation; wherein the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process belong to consequence degree data.

[0028] Furthermore, based on the consequence characteristic data and the consequence degree data, the voltage sag consequence transfer model is used to analyze the transfer characteristics to obtain the voltage sag consequence evolution path, and the identification of the voltage sag consequence evolution path includes:

[0029] Identify the transfer characteristics, and obtain an identification result; the identification result includes serial transfer and parallel transfer;

[0030] Based on the consequence characteristic data and the consequence degree data, a series transfer characteristic model is obtained by utilizing the voltage sag consequence transfer characteristics of adjacent production links;

[0031] Based on the consequence characteristic data and the consequence degree data, respectively analyzing the transfer characteristics according to the synchronization scenario, the dispersion scenario and the convergence scenario of parallel transfer to obtain a parallel transfer characteristic model;

[0032] Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0033] Furthermore, the expression of the series transfer characteristic model is:

[0034]

[0035]

[0036]

[0037] in, A represents the consequence vector of link k in the g-th voltage sag event in the r-th month, k-1 represents the influence coefficient matrix of k-1 link consequences on k link consequences, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, a 1,k-1 It indicates the highest value of the energy flow of link k-1 affected by the historical voltage sag event, a 2,k-1 represents the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k represents the highest value of the energy flow of link k affected by the historical voltage sag event, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0038] Furthermore, when the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronization scenario, the dispersion scenario and the convergence scenario of the parallel transmission respectively, and the parallel transmission characteristic model is obtained, including:

[0039] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of a decentralized scenario is constructed:

[0040]

[0041]

[0042] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the influence coefficient matrix of the k-2 link consequence on the k-1 link consequence, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable;

[0043] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed:

[0044]

[0045]

[0046] in, A represents the consequence vector of the k+1 link in the g-th voltage sag event in the r-th month, k It represents the influence coefficient matrix of the k-link consequence on the k+1-link consequence, represents the consequence vector of link k in the g-th voltage sag event in the r-th month, B k+1 represents the coefficient matrix of the impact of k+1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link;

[0047] Using the series transfer characteristic model, construct a transfer characteristic expression for a synchronization scenario;

[0048] The transfer characteristic expression of the dispersed scenario, the transfer characteristic expression of the converged scenario and the transfer characteristic expression of the synchronous scenario are integrated to obtain a parallel transfer characteristic model.

[0049] Furthermore, the expression of the voltage sag consequence evolution path is:

[0050]

[0051] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transfer matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month in the k-th link, k represents the k-th link, and l represents the total number of links.

[0052] A device for identifying an evolution path of a voltage sag consequence, comprising:

[0053] An acquisition module, used to acquire voltage sag characteristic parameters and voltage sag impact parameters;

[0054] A parameter determination module is used to obtain consequence characteristic data by analyzing the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve based on the voltage sag characteristic parameters; and obtain consequence degree data by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameters;

[0055] The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0056] The beneficial effects of the present invention are as follows: the processor uses the voltage sag consequence transmission model to analyze the consequence characteristic data and consequence degree data to obtain the voltage sag consequence evolution path. In this way, the voltage sag consequence type and manifestation of the voltage sag consequence evolution path can be integrated to accurately and comprehensively characterize the voltage sag consequence; by timely identifying the hidden consequences, the weak links of the voltage sag in the production process can be confirmed, the transmission and evolution of the hidden consequences can be blocked in time, the consequences can be avoided from deteriorating and aggravating, and the severity of the explicit consequences can be mitigated; by using the voltage sag consequence transmission model, the efficiency and value of the user's production process can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0058] Figure 1 It is a module schematic diagram of a device for identifying the evolution path of the consequences of voltage sag according to some embodiments of this specification.

[0059] Figure 2 It is an exemplary flow chart of a method for identifying an evolution path of consequences of a voltage sag according to some embodiments of this specification. DETAILED DESCRIPTION

[0060] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0061] Embodiment 1

[0062] Figure 1It is a module schematic diagram of a device for identifying the evolution path of the consequences of voltage sag according to some embodiments of this specification.

[0063] In some embodiments, the device for identifying a voltage sag consequence evolution path may include an acquisition module, a parameter determination module and an identification module.

[0064] The acquisition module is used to obtain voltage sag characteristic parameters and voltage sag impact parameters. For more details about voltage sag characteristic parameters and voltage sag impact parameters, please refer to Figure 2 and its related description.

[0065] The parameter determination module is used to analyze the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve based on the voltage sag characteristic parameters to obtain the consequence characteristic data; based on the voltage sag impact parameters, the energy flow and material flow of the production process are analyzed to obtain the consequence degree data. For more details about the consequence characteristic data and consequence degree data, please refer to Figure 2 and its related description.

[0066] In some embodiments, the parameter determination module can obtain an equipment tolerance curve and a process parameter curve by analyzing the production equipment and operating parameters; the equipment tolerance curve and the process parameter curve belong to voltage sag characteristic parameters; based on the equipment tolerance curve, combined with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic; based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

[0067] In some embodiments, the parameter determination module may analyze the voltage sag amplitude-duration severity comprehensive index based on the equipment tolerance curve and in combination with the voltage sag amplitude to obtain the first consequence characteristic:

[0068]

[0069]

[0070]

[0071]

[0072] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T maxIndicates the time upper limit of the tolerance of sensitive equipment, T min The lower time limit of the tolerance of sensitive equipment, U max It indicates the upper limit of the tolerance of sensitive equipment, U indicates the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance capability of sensitive equipment.

[0073] In some embodiments, the expression of the second consequence characteristic may be:

[0074]

[0075] in, Indicates the second consequence characteristic, P nom It indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0076] In some embodiments, the parameter determination module can obtain the energy flow consequences of the production process by analyzing the downtime and the expected time; obtain the material flow consequences of the production process by analyzing the defective quantity and the expected output and combining the energy flow consequences of the production process; wherein the downtime, the expected time, the defective quantity and the expected output are voltage sag impact parameters; based on the energy flow consequences of the production process and the material flow consequences of the production process, obtain the value flow consequences of the production process by calculation; wherein the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process are consequence degree data.

[0077] The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path. For more details about the voltage sag consequence evolution path, please refer to Figure 2 and its related description.

[0078] In some embodiments, the identification module can identify the transfer characteristics and obtain an identification result; the identification result includes series transmission and parallel transmission; when the identification result is series transmission, based on the consequence characteristic data and the consequence degree data, the voltage sag consequence transmission characteristics of adjacent production links are used to obtain a series transmission characteristic model; when the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronous scenario, the dispersed scenario and the converged scenario of parallel transmission respectively to obtain a parallel transmission characteristic model; based on the series transmission characteristic model and the parallel transmission characteristic model, a voltage sag consequence transmission model is constructed to analyze the transmission characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0079] In some embodiments, the expression of the series transfer characteristic model may be:

[0080]

[0081]

[0082]

[0083] in, A represents the consequence vector of link k in the g-th voltage sag event in the r-th month, k-1 represents the influence coefficient matrix of k-1 link consequences on k link consequences, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, a 1,k-1 It indicates the highest value of the energy flow of link k-1 affected by the historical voltage sag event, a 2,k-1 represents the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k represents the highest value of the energy flow of link k affected by the historical voltage sag event, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0084] In some embodiments, the identification module can construct a transfer characteristic expression for a dispersed scenario based on the consequence characteristic data and the consequence degree data; construct a transfer characteristic expression for a convergent scenario based on the consequence characteristic data and the consequence degree data; construct a transfer characteristic expression for a synchronous scenario using the serial transfer characteristic model; and obtain a parallel transfer characteristic model by combining the transfer characteristic expressions for the dispersed scenario, the transfer characteristic expressions for the convergent scenario, and the transfer characteristic expressions for the synchronous scenario.

[0085] In some embodiments, the transfer characteristic expression of the scattered scene can be:

[0086]

[0087]

[0088] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the influence coefficient matrix of the k-2 link consequence on the k-1 link consequence, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable.

[0089] In some embodiments, the transfer characteristic expression of the convergence scenario may be:

[0090]

[0091]

[0092] in, A represents the consequence vector of the k+1 link in the g-th voltage sag event in the r-th month, k It represents the influence coefficient matrix of the k-link consequence on the k+1-link consequence, represents the consequence vector of link k in the g-th voltage sag event in the r-th month, B k+1 represents the coefficient matrix of the impact of k+1 link consequences on product consequences, Represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link.

[0093] In some embodiments, the expression of the voltage sag consequence evolution path may be:

[0094]

[0095] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transfer matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month in the k-th link, k represents the k-th link, and l represents the total number of links.

[0096] In some embodiments, a device for identifying an evolution path of the consequences of a voltage sag can be used to execute a method for identifying an evolution path of the consequences of a voltage sag, including: obtaining voltage sag characteristic parameters and voltage sag influence parameters; based on the voltage sag characteristic parameters, using corresponding boundary values ​​of an equipment tolerance curve and a process parameter curve for analysis to obtain consequence characteristic data; based on the voltage sag influence parameters, by analyzing the energy flow and material flow of a production process to obtain consequence degree data; based on the consequence characteristic data and the consequence degree data, using a voltage sag consequence transfer model to analyze the transfer characteristics to obtain the voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path.

[0097] In some embodiments of the present specification, the processor uses a device for identifying the evolution path of the consequences of a voltage sag to execute a method for identifying the evolution path of the consequences of a voltage sag. In this way, the types and manifestations of the consequences of a voltage sag in the evolution path of the consequences of a voltage sag can be integrated to accurately and comprehensively characterize the consequences of a voltage sag; by timely identifying the hidden consequences, the weak links of the voltage sag in the production process can be confirmed, the transmission and evolution of the hidden consequences can be blocked in time, the deterioration and aggravation of the consequences can be avoided, and the severity of the explicit consequences can be mitigated; by using the voltage sag consequence transmission model, the efficiency and value of the user's production process can be effectively improved.

[0098] Embodiment 2

[0099] Figure 2 FIG. 1 is an exemplary flow chart of a method for identifying a voltage sag consequence evolution path according to some embodiments of this specification. Figure 2 As shown, the process includes the following steps. In some embodiments, the process can be executed by a processor.

[0100] Obtain voltage sag characteristic parameters and voltage sag impact parameters.

[0101] Voltage sag characteristic parameters reflect the tolerance of production equipment to voltage sag and production parameters. For example, voltage sag characteristic parameters may include equipment tolerance curves and process parameter curves.

[0102] In some embodiments, the processor may monitor the production equipment to obtain voltage sag characteristic parameters.

[0103] Voltage sag impact parameters are parameters that reflect the time and output of production activities. For example, voltage sag impact parameters may include downtime, expected time, defective quantity, and expected output.

[0104] In some embodiments, the processor may obtain voltage sag impact parameters based on the uploaded production data and expected data.

[0105] Based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain consequence characteristic data.

[0106] The consequence characteristic data is the consequence characteristic reflecting the energy flow of the production link. For example, the consequence characteristic data may include the first consequence characteristic and the second consequence characteristic.

[0107] The first consequence characteristic is a consequence characteristic based on the equipment tolerance capability.

[0108] The second consequence characteristic is a consequence characteristic based on production process parameters.

[0109] In some embodiments, the processor may implement the following steps to obtain consequence characteristic data by analyzing the voltage sag characteristic parameters using corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve.

[0110] By analyzing the production equipment and operating parameters, the equipment tolerance curve and process parameter curve are obtained.

[0111] The equipment tolerance curve is a curve that reflects the ability of production equipment to withstand voltage sags.

[0112] In some embodiments, the processor may monitor data of production equipment during voltage sag to obtain an equipment tolerance curve.

[0113] The process parameter curve is a curve that reflects the parameter conditions of production equipment during the production process.

[0114] In some embodiments, the processor may monitor parameters of the production equipment during the production process to obtain a process parameter curve.

[0115] Based on the equipment tolerance curve and in combination with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic.

[0116] In some embodiments, the processor may perform analysis based on the equipment tolerance curve using a voltage sag amplitude-duration severity comprehensive index in combination with the voltage sag amplitude to obtain a first consequence characteristic.

[0117] In some embodiments, the expression of the first consequence characteristic may be:

[0118]

[0119]

[0120]

[0121]

[0122] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T max Indicates the time upper limit of the tolerance of sensitive equipment, T min The lower time limit of the tolerance of sensitive equipment, U max It indicates the upper limit of the tolerance of sensitive equipment, U indicates the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance capability of sensitive equipment.

[0123] Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic.

[0124] In some embodiments, the expression of the second consequence characteristic may be:

[0125]

[0126] in, Indicates the second consequence characteristic, P nom It indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0127] Based on the voltage sag impact parameters, the energy flow and material flow of the production process are analyzed to obtain consequence degree data.

[0128] The impact degree data is the data reflecting the impact degree of voltage sag on user production. For example, the impact degree data may include the impact of production process energy flow, production process material flow and production process value flow.

[0129] In some embodiments, the processor can implement the voltage sag impact parameters based on the following steps, by analyzing the energy flow of the production process and the material flow of the production process to obtain consequence degree data: by analyzing the downtime time and the expected time, the energy flow consequences of the production process are obtained; by analyzing the defective quantity and the expected output, combined with the energy flow consequences of the production process, the material flow consequences of the production process are obtained; based on the energy flow consequences of the production process and the material flow consequences of the production process, the value flow consequences of the production process are obtained through calculation.

[0130] Downtime is the time that production equipment is not operating.

[0131] The expected time is the expected production time of the production equipment.

[0132] Defective quantity is the number of unqualified products in production.

[0133] Expected output is the expected production output.

[0134] In some embodiments, the processor may obtain downtime, expected time, defective quantity, and expected output based on historical production data and production conditions.

[0135] The energy flow consequence of the production process reflects the loss of energy caused by voltage sag in the production process. For example, when a voltage sag occurs, the sensitive load of the industrial user cannot tolerate the low voltage for more than a certain period of time, the sensitive load will trip, power loss will occur, the electrical energy cannot be converted into mechanical energy as expected, and the product output will be affected. The longer the trip time, the more serious the impact of the voltage sag on the energy flow.

[0136] In some embodiments, the production process energy flow consequences can be expressed as:

[0137]

[0138] in, It indicates the severity of the output loss of product Y caused by the g-th voltage sag event in the r-th month, that is, the energy flow consequence of the production process, t rg Indicates the downtime of product Y caused by the g-th voltage sag event in the r-th month, T r It represents the user's planned normal production time in month r, in h.

[0139] The material flow consequences of the production process reflect the loss of production materials caused by voltage sag. For example, when a voltage sag occurs, insufficient voltage supply will cause the output power of sensitive equipment to fail to keep up, resulting in insufficient power for the equipment and deviation of the physical operating parameters of the process, forming hidden consequences. After the hidden consequences are transmitted and superimposed through layers of links, the consequences of increased defective products are finally revealed.

[0140] In some embodiments, the production process material flow consequences can be expressed as:

[0141]

[0142] in, It indicates the severity of quality loss of product Y caused by the g-th voltage sag event in the r-th month, i.e. the consequence of material flow in the production process, Q rg It indicates the number of scrapped products produced by users due to the g-th voltage sag event in the r-th month. represents the energy flow consequence of the production process, z r Represents the user's planned output per unit time in the rth month.

[0143] The consequences of the value flow of the production process reflect the loss of production value caused by voltage sag. For example, when a voltage sag occurs, the more severe the loss of energy flow and value flow, the lower the value flow. The impact of voltage sag on energy flow and material flow will eventually be reflected in the value flow of the user's industrial production.

[0144] In some embodiments, the production process value stream consequences may be represented as:

[0145]

[0146] Among them, y rg It indicates the severity of the value loss of product Y caused by the g-th voltage sag event in the r-th month, that is, the consequence of the value flow of the production process.

[0147] In some embodiments, the processor can obtain the energy flow consequences of the production process by comparing the downtime time with the expected time; calculate the material flow consequences of the production process based on the energy flow consequences of the production process, the defective amount and the expected output; and obtain the value flow consequences of the production process by combining the energy flow consequences of the production process and the material flow consequences of the production process.

[0148] Based on the consequence characteristic data and the consequence degree data, the transfer characteristics are analyzed using a voltage sag consequence transfer model to obtain a voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path.

[0149] The consequences of voltage sag reflect the consequences of voltage sag on the entire production process. For example, the consequences of voltage sag can include explicit consequences and implicit consequences such as the consequences of voltage sag in series transmission and the consequences of voltage sag in parallel transmission.

[0150] The series voltage sag consequence is the voltage sag consequence in series transmission.

[0151] In some embodiments, the expression for the consequence of series voltage sag may be:

[0152]

[0153] Among them, Y rg A represents the consequence vector of product Y suffering the g-th voltage sag event in the r-th month, k represents the influence coefficient matrix of the k-link consequence on the k+1-link consequence, X0 represents the initial consequence vector, B1 represents the influence coefficient matrix of the first-link consequence on the product consequence, A represents the sensitive vector of the g-th voltage sag event in the r-th month of the first link, N Represents the impact coefficient matrix of N-link consequences, B N Represents the influence coefficient matrix of the Nth link consequence on the product consequence, represents the sensitive vector of the g-th voltage sag event in the r-th month of the N-th link, k represents the k-th link, and N represents the last link; where, They respectively represent the severity of the consequences of the g-th voltage sag event in the r-th month on the energy flow and material flow of the production process.

[0154] The parallel voltage sag effect is the voltage sag effect of parallel transmission.

[0155] Explicit consequences refer to the consequences that users can quickly perceive when a voltage sag occurs, such as interruption of industrial process operation and damage to production equipment.

[0156] The hidden consequence is that when the voltage sag occurs, the industrial process is not interrupted, but the final product contains more defective products than normally expected, causing a drop in production value, and users are unable to perceive and intervene in time.

[0157] In some embodiments, the processor can implement the following steps based on the consequence characteristic data and the consequence degree data, analyze the transfer characteristics using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0158] The transfer characteristic is identified to obtain an identification result.

[0159] When the identification result is series transfer, based on the consequence characteristic data and the consequence degree data, a series transfer characteristic model is obtained by utilizing the voltage sag consequence transfer characteristics of adjacent production links.

[0160] The series transfer characteristic model is a model that reflects the consequence transfer characteristics of series transfer.

[0161] In some embodiments, the expression of the series transfer characteristic model may be:

[0162]

[0163]

[0164]

[0165] in, A represents the consequence vector of link k in the g-th voltage sag event in the r-th month, k-1 represents the influence coefficient matrix of k-1 link consequences on k link consequences, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, a 1,k-1 It indicates the highest value of the energy flow of link k-1 affected by the historical voltage sag event, a 2,k-1 represents the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k represents the highest value of the energy flow of link k affected by the historical voltage sag event, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0166] When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed respectively according to the synchronous scenario, the dispersed scenario and the converged scenario of the parallel transmission to obtain a parallel transmission characteristic model.

[0167] The synchronous scenario is a delivery relationship scenario that is carried out sequentially.

[0168] A scattered scenario is a scenario where one path is scattered into multiple paths for delivery.

[0169] The convergence scenario is a scenario where multiple paths are converged into one path for transmission.

[0170] The parallel transfer characteristic model is a model that reflects the consequence transfer characteristics of parallel transfer.

[0171] In some embodiments, the processor can implement the following steps: when the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, respectively analyze the transmission characteristics according to the synchronous scenario, dispersed scenario and convergent scenario of parallel transmission to obtain a parallel transmission characteristic model.

[0172] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of a decentralized scenario is constructed:

[0173]

[0174]

[0175] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the influence coefficient matrix of the k-2 link consequence on the k-1 link consequence, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable.

[0176] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed:

[0177]

[0178]

[0179] in, A represents the consequence vector of the k+1 link in the g-th voltage sag event in the r-th month, k It represents the influence coefficient matrix of the k-link consequence on the k+1-link consequence, represents the consequence vector of link k in the g-th voltage sag event in the r-th month, B k+1 represents the coefficient matrix of the impact of k+1 link consequences on product consequences, Represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link.

[0180] The serial transfer characteristic model is used to construct a transfer characteristic expression for a synchronization scenario.

[0181] The transfer characteristic expression of the dispersed scenario, the transfer characteristic expression of the converged scenario and the transfer characteristic expression of the synchronous scenario are integrated to obtain a parallel transfer characteristic model.

[0182] Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0183] In some embodiments, the expression of the voltage sag consequence evolution path may be:

[0184]

[0185] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transfer matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month in the k-th link, k represents the k-th link, and l represents the total number of links.

[0186] In some embodiments, the processor can identify the weak links of voltage sag in the production process based on the evolution path of the voltage sag consequences, and identify them as priority management targets to support the optimization decision of the management plan.

[0187] In some embodiments of the present specification, the processor uses the voltage sag consequence transmission model to analyze the consequence characteristic data and consequence degree data to obtain the voltage sag consequence evolution path. In this way, the voltage sag consequence type and manifestation of the voltage sag consequence evolution path can be integrated to accurately and comprehensively characterize the voltage sag consequence; by timely identifying the hidden consequences, the weak links of the voltage sag in the production process can be confirmed, the transmission and evolution of the hidden consequences can be blocked in time, the consequences can be avoided from deteriorating and aggravating, and the severity of the explicit consequences can be mitigated; by using the voltage sag consequence transmission model, the efficiency and value of the user's production process can be effectively improved.

[0188] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0189] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0190] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0191] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0192] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0193] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for identifying the evolution path of voltage sag consequences, characterized in that: include: Obtain voltage sag characteristic parameters and voltage sag impact parameters; Based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain consequence characteristic data; Based on the voltage sag impact parameters, the consequence degree data is obtained by analyzing the energy flow and material flow of the production process; Based on the consequence characteristic data and the consequence degree data, the transfer characteristics are analyzed using a voltage sag consequence transfer model to obtain a voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path.

2. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: Based on the voltage sag characteristic parameter, the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain the consequence characteristic data, including: By analyzing the production equipment and operating parameters, an equipment tolerance curve and a process parameter curve are obtained; the equipment tolerance curve and the process parameter curve belong to voltage sag characteristic parameters; Based on the equipment tolerance curve and in combination with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic; Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

3. The method for identifying the evolution path of voltage sag consequences according to claim 2, characterized in that: The first consequence characteristics obtained by analyzing the device tolerance curve in combination with the voltage sag amplitude include: Based on the equipment tolerance curve, the voltage sag amplitude-duration severity comprehensive index is used, combined with the voltage sag amplitude for analysis, and the first consequence characteristic is obtained: in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T max Indicates the time upper limit of the tolerance of sensitive equipment, T min The lower time limit of the tolerance of sensitive equipment, U max It indicates the upper limit of the tolerance of sensitive equipment, U indicates the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance capability of sensitive equipment.

4. The method for identifying the evolution path of voltage sag consequences according to claim 2, characterized in that: The expression of the second consequence characteristic is: in, Represents the second consequence characteristic, P nom It indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

5. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: Based on the voltage sag impact parameter, by analyzing the energy flow and material flow of the production process, the consequence degree data obtained include: By analyzing the downtime and expected time, the energy flow consequences of the production process are obtained; By analyzing the defective quantity and the expected output, combined with the energy flow consequence of the production process, the material flow consequence of the production process is obtained; wherein the downtime, the expected time, the defective quantity and the expected output belong to the voltage sag impact parameters; Based on the energy flow consequences of the production process and the material flow consequences of the production process, the value flow consequences of the production process are obtained by calculation; wherein the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process belong to consequence degree data.

6. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: The step of analyzing the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model to obtain the voltage sag consequence evolution path and completing the identification of the voltage sag consequence evolution path includes: Identify the transfer characteristics and obtain an identification result; the identification result includes series transfer and parallel transfer; When the identification result is series transfer, based on the consequence characteristic data and the consequence degree data, a series transfer characteristic model is obtained by utilizing the voltage sag consequence transfer characteristics of adjacent production links; When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed respectively according to the synchronization scenario, the dispersion scenario and the convergence scenario of the parallel transmission to obtain a parallel transmission characteristic model; Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

7. The method for identifying the evolution path of voltage sag consequences according to claim 6, characterized in that: The expression of the series transfer characteristic model is: in, A represents the consequence vector of link k in the g-th voltage sag event in the r-th month, k-1 represents the influence coefficient matrix of k-1 link consequences on k link consequences, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, a 1,k-1 It indicates the highest value of the energy flow of link k-1 affected by the historical voltage sag event, a 2,k-1 represents the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k represents the highest value of the energy flow of link k affected by the historical voltage sag event, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

8. The method for identifying the evolution path of voltage sag consequences according to claim 6, characterized in that: When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronization scenario, the dispersion scenario and the convergence scenario of the parallel transmission respectively, and the parallel transmission characteristic model is obtained, including: Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of a decentralized scenario is constructed: in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the influence coefficient matrix of the k-2 link consequence on the k-1 link consequence, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable; Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed: in, A represents the consequence vector of the k+1 link in the g-th voltage sag event in the r-th month, k It represents the influence coefficient matrix of the k-link consequence on the k+1-link consequence, represents the consequence vector of link k in the g-th voltage sag event in the r-th month, B k+1 represents the coefficient matrix of the impact of k+1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link; Using the series transfer characteristic model, construct a transfer characteristic expression for a synchronization scenario; The transfer characteristic expression of the dispersed scenario, the transfer characteristic expression of the converged scenario and the transfer characteristic expression of the synchronous scenario are integrated to obtain a parallel transfer characteristic model.

9. The method for identifying the evolution path of voltage sag consequences according to claim 6, characterized in that: The expression of the evolution path of the voltage sag consequence is: Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transfer matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month in the k-th link, k represents the k-th link, and l represents the total number of links.

10. A device for identifying the evolution path of voltage sag consequences, characterized in that: include: An acquisition module, used to acquire voltage sag characteristic parameters and voltage sag impact parameters; A parameter determination module is used to obtain consequence characteristic data by analyzing the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve based on the voltage sag characteristic parameters; and to obtain consequence degree data by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameters; The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

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