A filling machine voltage risk control system based on cloud data

Abstract

The present invention discloses a filling machine voltage risk control system based on cloud data, which specifically relates to the field of information technology, including a monitoring time division module, a voltage data acquisition module, a voltage data preprocessing module, a voltage data analysis module, a voltage risk comprehensive analysis module, a voltage risk judgment module, and a human-computer interaction module. The present invention collects the basic data of the filling machine, the voltage fluctuation data, the voltage protection data, and the UPS usage data from the two dimensions of voltage stability and voltage safety through the voltage data acquisition module, and analyzes and obtains the voltage stability index and the voltage safety index of the filling machine, realizing the multi-dimensional feature representation of the voltage data, and comprehensively analyzing the voltage risk of the filling machine through the voltage risk comprehensive analysis module, which comprehensively reflects the voltage risk status of the filling machine, provides a decision-making basis for the voltage risk judgment module, and avoids potential safety accidents.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and more specifically, to a filling machine voltage risk management and control system based on cloud data. Background Art

[0002] Filling machines play a vital role in industrial production. Their stability and safety are directly related to product quality and the normal operation of the production line. Voltage fluctuation is one of the important factors leading to filling machine failures and safety accidents. Therefore, it is necessary to monitor the voltage status of the filling machine in real time to promptly discover and warn of potential risks, thereby effectively reducing downtime and production losses caused by equipment failure, and reducing equipment maintenance and replacement costs.

[0003] The traditional filling machine voltage risk management system includes a data acquisition module, a data analysis module and an alarm module. The data acquisition module monitors the voltage of the filling machine in real time during operation to ensure the accuracy and real-time nature of the data. Through real-time monitoring and risk assessment, abnormal voltage problems can be discovered and handled in a timely manner to avoid equipment failures and safety accidents. The data analysis module performs statistical analysis on historical voltage data, generates reports and charts, and provides support for production management and decision-making. When the alarm module detects abnormal voltage, the system automatically triggers an early warning or alarm mechanism to remind relevant personnel to take timely measures. Through the early warning and alarm mechanism, hidden dangers of equipment failure can be discovered and handled in advance, thereby reducing equipment failure rate and maintenance costs.

[0004] However, there are still some shortcomings in its actual use. For example, firstly, due to the complex and changeable actual conditions, the traditional filling machine voltage risk management system cannot comprehensively collect voltage risk data; secondly, due to the differences in working environment and load conditions of different filling machines, the traditional filling machine voltage risk management system may not be able to fully adapt to all situations, resulting in inaccurate early warning results. This requires the system to be continuously optimized and adjusted during use to improve the accuracy and reliability of the early warning. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a filling machine voltage risk management and control system based on cloud data, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above purpose, the present invention provides the following technical solution: a filling machine voltage risk control system based on cloud data, comprising:

[0007] The monitoring time division module is used to determine the monitoring time of the target filling machine as a target time zone, divide the target time zone into various sub-time zones by equal time division, and mark them as 1, 2...n in sequence;

[0008] The voltage data acquisition module is used to collect voltage data of each sub-time zone, including a voltage stability data acquisition unit and a voltage safety data acquisition unit. The voltage stability data acquisition unit collects basic data of the filling machine and voltage fluctuation data, and the voltage safety data acquisition unit collects voltage protection data and UPS usage data, and transmits the collected data to the voltage data preprocessing module;

[0009] The voltage data preprocessing module is used to preprocess the data collected by the voltage data collection module, including a voltage stability preprocessing unit and a voltage safety preprocessing unit, and the voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time are obtained by the voltage stability preprocessing unit, and the voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency are obtained by the voltage safety preprocessing unit, and the preprocessed data is transmitted to the voltage data analysis module;

[0010] The voltage data analysis module is used to analyze the data transmitted by the voltage data preprocessing module, and includes a voltage stability analysis unit and a voltage safety analysis unit. The voltage stability index is obtained by the voltage stability analysis unit, the voltage safety index is obtained by the voltage safety analysis unit, and the analyzed data is transmitted to the voltage risk comprehensive analysis module;

[0011] The voltage risk comprehensive analysis module is used to establish a voltage risk assessment model, evaluate the voltage risk of the filling machine, import the voltage stability index and voltage safety index transmitted by the voltage data analysis module into the voltage risk assessment model, obtain the voltage risk assessment index, and transmit the analysis result to the voltage risk judgment module;

[0012] The voltage risk judgment module is used to judge the data transmitted by the voltage risk comprehensive analysis module, calculate the risk difference and set the risk level of the voltage risk assessment index, and judge the risk level of the target time area according to the voltage risk assessment index, and issue a warning signal for the judgment result;

[0013] The human-computer interaction module is used to receive the alarm issued by the voltage risk judgment module, and obtain the filling machine voltage risk report through the transmitted risk level, and the management personnel can view it through the system display screen;

[0014] The database is used to store data information of all modules in the system;

[0015] Preferably, the voltage stability data acquisition unit of the voltage data acquisition module includes basic data of the filling machine and voltage fluctuation data, wherein the basic data of the filling machine includes the rated output voltage, rated input voltage, output voltage and input voltage of the filling machine, which are respectively recorded as Ue, Ud, Uo and Ui, and the voltage fluctuation data includes the voltage effective value, voltage harmonic content, voltage imbalance and short-time interruption time of the electrical components of the filling machine, which are respectively recorded as Cv, Cz, Cm and Ct; the voltage safety data acquisition unit includes voltage protection data and UPS usage data, wherein the voltage protection data includes overvoltage protection response speed, undervoltage protection response speed and overload protection response speed, which are respectively recorded as Vo, Vu and Vl, and the UPS usage data includes total absorbed power, output active power, rectifier efficiency, inverter efficiency and battery charging and discharging efficiency, which are respectively recorded as Pz, Ph, Pe, Pl and Pc.

[0016] Preferably, the voltage stability preprocessing unit in the voltage data preprocessing module is used to establish a voltage stability preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time. The calculation formula of the voltage relative change rate is:

[0017] ,

[0018] Among them, Ue represents the rated output voltage of the filling machine, Ud represents the rated input voltage of the filling machine, and Eu i Indicates the relative rate of change of voltage in the ith sub-time zone, Ui i represents the input voltage of the ith sub-time zone, Uo i represents the output voltage of the ith sub-time zone, α represents the allowable variation of the rated input voltage, and β represents the allowable variation of the rated output voltage, such as α, β = ±10%;

[0019] The calculation formula of voltage deviation is:

[0020] ,

[0021] Where Ec i Indicates the voltage deviation of the ith sub-time zone, Cv i represents the effective value of the voltage in the ith sub-time zone, and Cv´ represents the effective value of the rated voltage of the filling machine;

[0022] The calculation formula of voltage fluctuation value is:

[0023] ,

[0024] Among them, Eb i represents the voltage fluctuation value in the i-th sub-time zone;

[0025] The calculation formula for the average short-term interruption time is:

[0026] ,

[0027] Where Et represents the average short-term interruption time of the electrical components of the filling machine, Ct i Indicates the short interruption time of the i-th sub-time zone.

[0028] Preferably, the voltage safety preprocessing unit in the voltage data preprocessing module is used to establish a voltage safety preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency. The calculation formula of the voltage protection response rate is:

[0029] ,

[0030] Among them Dv i represents the voltage protection response rate in the ith sub-time zone, Vo i Represents the overvoltage protection response time of the ith sub-time zone, Vu i Indicates the undervoltage protection response speed in the ith sub-time zone, Vl i Represents the overload protection response speed of the ith sub-time zone, Vo 预 Indicates the preset value of overvoltage protection response time, Vu 预 Indicates the preset value of undervoltage protection response time, Vl 预 Indicates the preset value of overload protection response time;

[0031] The calculation formula for UPS overall efficiency is:

[0032] ,

[0033] Among them Dz i Indicates the UPS overall efficiency in the i-th sub-time zone, Ph i represents the output active power in the ith sub-time zone, and Pz represents the total absorbed power of the UPS;

[0034] The calculation formula for UPS energy storage efficiency is:

[0035] ,

[0036] where Dc i represents the UPS energy storage efficiency in the i-th sub-time zone, Pe i represents the rectifier efficiency in the i-th sub-time zone, Pl i represents the inverter efficiency in the ith sub-time zone, Pc iIndicates the battery charging and discharging efficiency in the i-th time sub-region.

[0037] Preferably, the voltage stability analysis unit of the voltage data analysis module is used to establish a voltage stability analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage stability index. The specific analysis formula of the voltage stability index is:

[0038] ,

[0039] where φ i represents the voltage stability index of the ith sub-time zone, Eu i represents the relative rate of change of voltage in the ith sub-time zone, Ec i Indicates the voltage deviation degree of the ith sub-time zone, Eb i It represents the voltage fluctuation value in the ith sub-time zone, and Et represents the average short-term interruption time of the electrical components of the filling machine.

[0040] Preferably, the voltage safety analysis unit of the voltage data analysis module is used to establish a voltage safety analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage safety index. The specific analysis formula of the voltage safety index is:

[0041] ,

[0042] where ψ i represents the voltage safety index of the ith sub-time zone, Dv i represents the voltage protection response rate in the ith sub-time zone, Dz i represents the UPS overall efficiency in the i-th sub-time zone, Dc i Represents the UPS energy storage efficiency in the i-th sub-time zone.

[0043] Preferably, the voltage risk comprehensive analysis module calculates the voltage risk assessment index based on the voltage stability index and the voltage safety index and extracts the maximum and minimum values ​​of the voltage risk assessment index in the target time area. The specific analysis formula of the voltage risk assessment index is:

[0044] ,

[0045] Where η represents the voltage risk assessment index of the target time area, φ i represents the voltage stability index of the ith sub-time zone, ψ i represents the voltage safety index of the ith sub-time zone, μ 1 and μ 2They represent the factors that affect the voltage stability index and the voltage safety index respectively. The maximum and minimum values ​​of the voltage risk assessment index in the target time area are calculated and compared with the voltage risk assessment index of each sub-time area and transmitted to the voltage risk judgment module.

[0046] Preferably, the risk difference of the voltage risk judgment module is calculated by importing the maximum and minimum values ​​of the voltage risk assessment index of the target time area in the voltage risk comprehensive analysis module, and the specific calculation formula is:

[0047] ,

[0048] Where Y represents the risk difference, η max Indicates the maximum value of the voltage risk assessment index in the target time area, η min represents the minimum value of the voltage risk assessment index in the target time area, and η min Set as the lower limit of risk level I, η max Set as the upper limit of risk level Ⅰ, The upper limit of risk level II is set as the upper limit of risk level II. If the voltage risk assessment index exceeds the upper limit of risk level II, it is set as risk level III. When η≤η min , at this time, the voltage of the filling machine is at no risk, then the system will ensure the safe conversion of DC and AC to provide a stable power supply for the filling machine and other electrical components; when η min <η≤η max , at this time, the filling machine is at risk level I, indicating that the mains voltage fluctuation is within an acceptable range, then the system works normally and continuously collects and analyzes data on the filling machine and its electrical components; when η max <η≤ , indicating that the filling machine is at risk level II, indicating that the mains power has a slight fluctuation, and the system adjusts the inverter through UPS to stabilize the voltage; η> At this time, the filling machine is at risk level III, indicating that the mains voltage has serious fluctuations or interruptions. The system immediately cuts off the connection with the mains and switches to battery power supply to ensure that the filling machine and its electrical components work within a safe range. The judged risk level is transmitted to the human-computer interaction module and an alarm is issued.

[0049] Technical effects and advantages of the present invention:

[0050] The present invention sets a voltage data acquisition module to respectively collect basic data of the filling machine, voltage fluctuation data, voltage protection data and UPS usage data from two dimensions of voltage stability and voltage safety, thereby improving the comprehensiveness of the data acquisition scope; sets a voltage data preprocessing module and a voltage data analysis module to calculate the voltage stability index and voltage safety index of the filling machine, thereby realizing the multi-dimensional feature representation of the voltage data, and the data processing result is more representative; sets a voltage risk comprehensive analysis module to conduct a comprehensive analysis on the voltage risk of the filling machine, obtains a voltage risk assessment index, comprehensively reflects the voltage risk status of the filling machine, and provides a decision-making basis for the voltage risk judgment module; through comprehensive analysis, the system can more accurately judge the safety of the filling machine, issue early warning signals in time, and avoid potential safety accidents;

[0051] The present invention provides a voltage risk judgment module to judge the data transmitted by the voltage risk comprehensive analysis module, and sets the voltage risk level according to the upper and lower limits of the voltage risk assessment index stored in the cloud, and makes risk level judgments on the mains power fluctuation condition and the filling machine condition, thereby improving the accuracy of the early warning, reducing the impact of the mains power fluctuation on the filling machine and its electrical components, and reducing unnecessary maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0053] Figure 2 It is a flow chart of the system operation of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] As attached Figure 1 The filling machine voltage risk management and control system based on cloud data shown in the figure includes a monitoring time division module, a voltage data acquisition module, a voltage data preprocessing module, a voltage data analysis module, a voltage risk comprehensive analysis module, a database, a voltage risk judgment module, and a human-computer interaction module.

[0056] The output end of the monitoring time division module is connected to the input end of the voltage data acquisition module, the output end of the voltage data acquisition module is connected to the input end of the voltage data preprocessing module, the output end of the voltage data preprocessing module is connected to the input end of the voltage data analysis module, the output end of the voltage data analysis module is connected to the input end of the voltage risk comprehensive analysis module, the output end of the database is connected to the input end of the voltage risk comprehensive analysis module, the output end of the voltage risk comprehensive analysis module is connected to the input end of the voltage risk judgment module, and the output end of the voltage risk judgment module is connected to the input end of the human-computer interaction module.

[0057] The monitoring time division module is used to determine the monitoring time of the target filling machine as a target time zone, divide the target time zone into various sub-time zones by equal time division, and mark them as 1, 2...n in sequence.

[0058] In this embodiment, it should be specifically explained that the target time zone monitors the grid voltage of the target filling machine in real time by installing a voltage monitoring device, and selects a suitable division time accuracy according to actual needs, including every second, every half second and every millisecond.

[0059] The voltage data acquisition module is used to collect voltage data in each sub-time zone, including a voltage stability data acquisition unit and a voltage safety data acquisition unit. The voltage stability data acquisition unit collects basic data of the filling machine and voltage fluctuation data, and the voltage safety data acquisition unit collects voltage protection data and UPS usage data, and transmits the collected data to the voltage data preprocessing module.

[0060] In this embodiment, it should be specifically explained that the voltage stability data acquisition unit includes the basic data of the filling machine and the voltage fluctuation data, wherein the basic data of the filling machine includes the rated output voltage, rated input voltage, output voltage and input voltage of the filling machine, which are respectively recorded as Ue, Ud, Uo and Ui; the voltage fluctuation data includes the effective value of the voltage, voltage harmonic content, voltage imbalance and short-time interruption time of the electrical components of the filling machine, which are respectively recorded as Cv, Cz, Cm and Ct; the basic data of the filling machine is collected by installing voltage sensors on the power input terminal, key motor and control circuit of the filling machine, and the voltage fluctuation data is collected by sampling and digitally processing the current signal through the power quality analyzer combined with the fast Fourier transform, and the collected data is stored in the cloud computing platform through the cloud server, and the data is transmitted to the voltage data preprocessing module.

[0061] In this embodiment, it should be specifically explained that the voltage safety data acquisition unit includes voltage protection data and UPS usage data, wherein the voltage protection data includes overvoltage protection response speed, undervoltage protection response speed and overload protection response speed, which are respectively denoted as Vo, Vu and Vl; UPS usage data includes total absorbed power, output active power, rectifier efficiency, inverter efficiency and battery charging and discharging efficiency, which are respectively denoted as Pz, Ph, Pe, Pl and Pc; the overvoltage protection response speed is the speed at which the power supply is disconnected or the voltage of the controlled device is reduced when the voltage exceeds a predetermined maximum value, and the undervoltage protection response speed is the speed at which the power supply is disconnected or the voltage of the controlled device is reduced. Speed ​​refers to the speed of the protection equipment when the line voltage drops to the critical voltage. The overload protection response speed refers to the speed of cutting off the power supply or reducing the load when the load exceeds its rated value. UPS is an uninterruptible power supply. UPS usage data is the data collected by the uninterruptible power supply during the voltage stabilization process. The equipment used in the voltage stabilization process include rectifiers, inverters and batteries. The rectifier efficiency is the efficiency of the rectifier in converting AC power into DC power for charging the battery. The inverter efficiency is the efficiency of converting DC power in the battery into AC power when the city power is interrupted. The battery charge and discharge efficiency is the efficiency of the battery during the charging and discharging process.

[0062] The voltage data preprocessing module is used to preprocess the data collected by the voltage data acquisition module, including a voltage stability preprocessing unit and a voltage safety preprocessing unit. The voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time are obtained through the voltage stability preprocessing unit. The voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency are obtained through the voltage safety preprocessing unit, and the preprocessed data is transmitted to the voltage data analysis module.

[0063] In this embodiment, it should be specifically explained that the voltage stability preprocessing unit in the voltage data preprocessing module is used to establish a voltage stability preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time. The calculation formula of the voltage relative change rate is:

[0064] ,

[0065] Among them, Ue represents the rated output voltage of the filling machine, Ud represents the rated input voltage of the filling machine, and Eu i Indicates the relative rate of change of voltage in the ith sub-time zone, Ui i represents the input voltage of the ith sub-time zone, Uo i represents the output voltage of the ith sub-time zone, α represents the allowable variation of the rated input voltage, and β represents the allowable variation of the rated output voltage, such as α, β = ±10%;

[0066] The calculation formula of voltage deviation is:

[0067] ,

[0068] Where Ec i Indicates the voltage deviation of the ith sub-time zone, Cv i represents the effective value of the voltage in the ith sub-time zone, and Cv´ represents the effective value of the rated voltage of the filling machine;

[0069] The calculation formula of voltage fluctuation value is:

[0070] ,

[0071] Among them, Eb i represents the voltage fluctuation value in the i-th sub-time zone;

[0072] The calculation formula for the average short-term interruption time is:

[0073] ,

[0074] Where Et represents the average short-term interruption time of the electrical components of the filling machine, Ct i Indicates the short interruption time of the i-th sub-time zone.

[0075] In this embodiment, it should be specifically explained that the voltage safety preprocessing unit in the voltage data preprocessing module is used to establish a voltage safety preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency. The calculation formula of the voltage protection response rate is:

[0076] ,

[0077] Among them Dv i represents the voltage protection response rate in the ith sub-time zone, Vo i Represents the overvoltage protection response time of the ith sub-time zone, Vu i Indicates the undervoltage protection response speed in the ith sub-time zone, Vl i Represents the overload protection response speed of the ith sub-time zone, Vo 预 Indicates the preset value of overvoltage protection response time, Vu 预 Indicates the preset value of undervoltage protection response time, Vl 预 Indicates the preset value of overload protection response time.

[0078] The calculation formula for UPS overall efficiency is:

[0079] ,

[0080] Among them Dzi Indicates the UPS overall efficiency in the i-th sub-time zone, Ph i represents the output active power in the i-th sub-time zone, and Pz represents the total absorbed power of the UPS.

[0081] The calculation formula for UPS energy storage efficiency is:

[0082] ,

[0083] where Dc i represents the UPS energy storage efficiency in the i-th sub-time zone, Pe i represents the rectifier efficiency in the i-th sub-time region, Pl i represents the inverter efficiency in the ith sub-time zone, Pc i Indicates the battery charging and discharging efficiency in the i-th time sub-region.

[0084] The voltage data analysis module is used to analyze the data transmitted by the voltage data preprocessing module, and includes a voltage stability analysis unit and a voltage safety analysis unit. The voltage stability index is obtained through the voltage stability analysis unit, and the voltage safety index is obtained through the voltage safety analysis unit. The analyzed data is transmitted to the voltage risk comprehensive analysis module.

[0085] In this embodiment, it should be specifically explained that the voltage stability analysis unit is used to establish a voltage stability analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage stability index. The specific analysis formula of the voltage stability index is:

[0086] ,

[0087] where φ i represents the voltage stability index of the ith sub-time zone, Eu i represents the relative rate of change of voltage in the ith sub-time zone, Ec i Indicates the voltage deviation degree of the ith sub-time zone, Eb i It represents the voltage fluctuation value in the ith sub-time zone, and Et represents the average short-term interruption time of the electrical components of the filling machine.

[0088] In this embodiment, it should be specifically explained that the voltage safety analysis unit is used to establish a voltage safety analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage safety index. The specific analysis formula of the voltage safety index is:

[0089]

[0090] where ψ i represents the voltage safety index of the ith sub-time zone, Dvi represents the voltage protection response rate in the ith sub-time zone, Dz i represents the UPS overall efficiency in the i-th sub-time zone, Dc i Represents the UPS energy storage efficiency in the i-th sub-time zone.

[0091] The voltage risk comprehensive analysis module is used to establish a voltage risk assessment model, evaluate the voltage risk of the filling machine, import the voltage stability index and voltage safety index transmitted by the voltage data analysis module into the voltage risk assessment model, obtain the voltage risk assessment index, and transmit the analysis results to the voltage risk judgment module.

[0092] In this embodiment, it should be specifically explained that the voltage risk comprehensive analysis module calculates the voltage risk assessment index based on the voltage stability index and the voltage safety index and extracts the maximum and minimum values ​​of the voltage risk assessment index in the target time area. The specific analysis formula of the voltage risk assessment index is:

[0093] ,

[0094] Where η represents the voltage risk assessment index of the target time area, φ i represents the voltage stability index of the ith sub-time zone, ψ i represents the voltage safety index of the ith sub-time zone, μ 1 and μ 2 They represent the factors that affect the voltage stability index and the voltage safety index respectively. The maximum and minimum values ​​of the voltage risk assessment index in the target time area are calculated and compared with the voltage risk assessment index of each sub-time area and transmitted to the voltage risk judgment module.

[0095] The voltage risk judgment module is used to judge the data transmitted by the voltage risk comprehensive analysis module, calculate the risk difference and set the risk level of the voltage risk assessment index, judge the risk level of the target time area according to the voltage risk assessment index, and issue a warning signal for the judgment result.

[0096] In this embodiment, it should be specifically explained that the risk difference is calculated by importing the maximum and minimum values ​​of the target time area voltage risk assessment index in the voltage risk comprehensive analysis module, and the specific calculation formula is:

[0097] ,

[0098] Where Y represents the risk difference, η max Indicates the maximum value of the voltage risk assessment index in the target time area, η min represents the minimum value of the voltage risk assessment index in the target time area, and η minSet as the lower limit of risk level I, η max Set as the upper limit of risk level Ⅰ, The upper limit of risk level II is set as the upper limit of risk level II. If the voltage risk assessment index exceeds the upper limit of risk level II, it is set as risk level III. When η≤η min , at this time, the voltage of the filling machine is at no risk, then the system will ensure the safe conversion of DC and AC to provide a stable power supply for the filling machine and other electrical components; when η min <η≤η max , at this time, the filling machine is at risk level I, indicating that the mains voltage fluctuation is within an acceptable range, then the system works normally and continuously collects and analyzes data on the filling machine and its electrical components; when η max <η≤ , indicating that the filling machine is at risk level II, indicating that the mains power has a slight fluctuation, and the system adjusts the inverter through UPS to stabilize the voltage; η> At this time, the filling machine is at risk level III, indicating that the mains voltage has serious fluctuations or interruptions. The system immediately cuts off the connection with the mains and switches to battery power supply to ensure that the filling machine and its electrical components work within a safe range. The judged risk level is transmitted to the human-computer interaction module and an alarm is issued.

[0099] The human-computer interaction module is used to receive the alarm issued by the voltage risk judgment module, and obtain the filling machine voltage risk report through the transmitted risk level. The manager will view it through the system display screen. If the transmitted risk level is at risk level II and risk level III, the manager will check whether the system is working normally, and optimize and adjust the system according to the working status to ensure the safe operation of the filling machine and its electrical components.

[0100] The database is used to store all module data information in the system.

[0101] like Figure 2 This embodiment provides an operation process of a filling machine voltage risk control system based on cloud data, including the following steps:

[0102] S1: Collect overvoltage protection response speed, undervoltage protection response speed, overload protection response speed, total absorbed power, output active power, rectifier efficiency, inverter efficiency and battery charging and discharging efficiency;

[0103] S2: Calculate the voltage relative change rate, voltage deviation, voltage fluctuation value, average short-term interruption time, voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency;

[0104] S3: Calculate the voltage stability index based on the voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time, and calculate the voltage safety index based on the voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency;

[0105] S4: Calculate the voltage risk assessment index based on the voltage stability index and the voltage safety index;

[0106] S5: Set the risk level for voltage risk judgment, determine the upper and lower limits of each risk level, and take different response measures for different risk levels;

[0107] S6: Receive based on the voltage risk judgment result. If the risk level of the transmission is high, the manager will check whether the system is working properly and optimize the system according to the working status to ensure the safe operation of the filling machine and its electrical components.

[0108] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0109] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A filling machine voltage risk control system based on cloud data, characterized in that: include: Monitoring time division module: used to determine the monitoring time of the target filling machine as the target time zone, divide the target time zone into various sub-time zones by equal time division, and mark them as 1, 2...n in sequence; Voltage data acquisition module: used to collect voltage data in each sub-time zone, including voltage stability data acquisition unit and voltage safety data acquisition unit. The voltage stability data acquisition unit collects basic data of the filling machine and voltage fluctuation data, and the voltage safety data acquisition unit collects voltage protection data and UPS usage data, and transmits the collected data to the voltage data preprocessing module; The voltage stability data acquisition unit includes the basic data of the filling machine and the voltage fluctuation data, wherein the basic data of the filling machine includes the rated output voltage, rated input voltage, output voltage and input voltage of the filling machine, which are recorded as Ue, Ud, Uo and Ui respectively, and the voltage fluctuation data includes the voltage effective value, voltage harmonic content, voltage unbalance and short-time interruption time of the electrical components of the filling machine, which are recorded as Cv, Cz, Cm and Ct respectively; Voltage data preprocessing module: used to preprocess the data collected by the voltage data acquisition module, including a voltage stability preprocessing unit and a voltage safety preprocessing unit. The voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time are obtained through the voltage stability preprocessing unit. The voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency are obtained through the voltage safety preprocessing unit, and the preprocessed data is transmitted to the voltage data analysis module; Voltage data analysis module: used to analyze the data transmitted by the voltage data preprocessing module, including a voltage stability analysis unit and a voltage safety analysis unit, obtain the voltage stability index through the voltage stability analysis unit, obtain the voltage safety index through the voltage safety analysis unit, and transmit the analyzed data to the voltage risk comprehensive analysis module; Voltage risk comprehensive analysis module: used to establish a voltage risk assessment model, evaluate the voltage risk of the filling machine, import the voltage stability index and voltage safety index transmitted by the voltage data analysis module into the voltage risk assessment model, obtain the voltage risk assessment index, and transmit the analysis results to the voltage risk judgment module; Voltage risk judgment module: used to judge the data transmitted by the voltage risk comprehensive analysis module, calculate the risk difference and set the risk level of the voltage risk assessment index, judge the risk level of the target time area according to the voltage risk assessment index, and issue a warning signal for the judgment result; Human-computer interaction module: used to receive the alarm issued by the voltage risk judgment module, and obtain the filling machine voltage risk report through the transmitted risk level, and the management personnel can view it through the system display screen; Database: used to store all module data information in the system.

2. The filling machine voltage risk control system based on cloud data according to claim 1 is characterized by: The voltage safety data acquisition unit in the voltage data acquisition module includes voltage protection data and UPS usage data, wherein the voltage protection data includes overvoltage protection response speed, undervoltage protection response speed and overload protection response speed, which are respectively denoted as Vo, Vu and Vl; the UPS usage data includes total absorbed power, output active power, rectifier efficiency, inverter efficiency and battery charging and discharging efficiency, which are respectively denoted as Pz, Ph, Pe, Pl and Pc.

3. The filling machine voltage risk control system based on cloud data according to claim 1 is characterized by: The voltage stability preprocessing unit in the voltage data preprocessing module is used to establish a voltage stability preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage relative change rate, voltage deviation, voltage fluctuation value and average short-term interruption time. The calculation formula of the voltage relative change rate is: ， Among them, Ue represents the rated output voltage of the filling machine, Ud represents the rated input voltage of the filling machine, and Eu i Indicates the relative rate of change of voltage in the ith sub-time zone, Ui i represents the input voltage of the ith sub-time zone, Uo i represents the output voltage of the ith sub-time zone, α represents the allowable variation of the rated input voltage, and β represents the allowable variation of the rated output voltage, such as α, β = ±10%; The calculation formula of voltage deviation is: ， Where Ec i Indicates the voltage deviation of the ith sub-time zone, Cv i represents the effective value of the voltage in the ith sub-time zone, and Cv´ represents the effective value of the rated voltage of the filling machine; The calculation formula of voltage fluctuation value is: ， Among them, Eb i represents the voltage fluctuation value in the i-th sub-time zone; The calculation formula for the average short-term interruption time is: ， Where Et represents the average short-term interruption time of the electrical components of the filling machine, Ct i Indicates the short interruption time of the i-th sub-time zone.

4. The filling machine voltage risk management and control system based on cloud data according to claim 1 is characterized by: The voltage safety preprocessing unit in the voltage data preprocessing module is used to establish a voltage safety preprocessing model, classify and summarize the data transmitted by the voltage data acquisition module, and obtain the voltage protection response rate, UPS overall efficiency and UPS energy storage efficiency. The calculation formula of the voltage protection response rate is: ， Among them Dv i represents the voltage protection response rate in the ith sub-time zone, Vo i Represents the overvoltage protection response time of the ith sub-time zone, Vu i Indicates the undervoltage protection response speed in the ith sub-time zone, Vl i Represents the overload protection response speed of the ith sub-time zone, Vo 预 Indicates the preset value of overvoltage protection response time, Vu 预 Indicates the preset value of undervoltage protection response time, Vl 预 Indicates the preset value of overload protection response time; The calculation formula for UPS overall efficiency is: ， Among them Dz i Indicates the UPS overall efficiency in the i-th sub-time zone, Ph i represents the output active power in the ith sub-time zone, and Pz represents the total absorbed power of the UPS; The calculation formula for UPS energy storage efficiency is: ， where Dc i represents the UPS energy storage efficiency in the i-th sub-time zone, Pe i represents the rectifier efficiency in the i-th sub-time zone, Pl i represents the inverter efficiency in the ith sub-time zone, Pc i Indicates the battery charging and discharging efficiency in the i-th time sub-region.

5. The filling machine voltage risk control system based on cloud data according to claim 1 is characterized by: The voltage stability analysis unit of the voltage data analysis module is used to establish a voltage stability analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage stability index. The specific analysis formula of the voltage stability index is: ， where φ i represents the voltage stability index of the ith sub-time zone, Eu i represents the relative rate of change of voltage in the ith sub-time zone, Ec i Indicates the voltage deviation degree of the ith sub-time zone, Eb i It represents the voltage fluctuation value in the ith sub-time zone, and Et represents the average short-term interruption time of the electrical components of the filling machine.

6. The filling machine voltage risk management and control system based on cloud data according to claim 1 is characterized by: The voltage safety analysis unit of the voltage data analysis module is used to establish a voltage safety analysis model, further analyze the data transmitted by the voltage data preprocessing module, and obtain a voltage safety index. The specific analysis formula of the voltage safety index is: ， where ψ i represents the voltage safety index of the ith sub-time zone, Dv i represents the voltage protection response rate in the ith sub-time zone, Dz i represents the UPS overall efficiency in the i-th sub-time zone, Dc i Represents the UPS energy storage efficiency in the i-th sub-time zone.

7. The filling machine voltage risk control system based on cloud data according to claim 1 is characterized by: The voltage risk comprehensive analysis module calculates the voltage risk assessment index based on the voltage stability index and the voltage safety index and extracts the maximum and minimum values ​​of the voltage risk assessment index in the target time area. The specific analysis formula of the voltage risk assessment index is: ， Where η represents the voltage risk assessment index of the target time area, φ i represents the voltage stability index of the ith sub-time zone, ψ i represents the voltage safety index of the i-th sub-time zone, μ1 and μ2 represent the factors affecting the voltage stability index and the voltage safety index respectively, and the maximum and minimum values ​​of the voltage risk assessment index in the target time zone are calculated and compared by the voltage risk assessment index of each sub-time zone and transmitted to the voltage risk judgment module.

8. The filling machine voltage risk control system based on cloud data according to claim 1 is characterized by: The risk difference of the voltage risk judgment module is calculated by importing the maximum and minimum values ​​of the target time area voltage risk assessment index in the voltage risk comprehensive analysis module, and the specific calculation formula is: ， Where Y represents the risk difference, η max Indicates the maximum value of the voltage risk assessment index in the target time area, η min represents the minimum value of the voltage risk assessment index in the target time area, and η min Set as the lower limit of risk level I, η max Set as the upper limit of risk level Ⅰ, The upper limit of risk level II is set as the upper limit of risk level II. If the voltage risk assessment index exceeds the upper limit of risk level II, it is set as risk level III. When η≤η min , at this time, the voltage of the filling machine is at no risk, then the system will ensure the safe conversion of DC and AC to provide a stable power supply for the filling machine and other electrical components; when η min <η≤η max , at this time, the filling machine is at risk level I, indicating that the mains voltage fluctuation is within an acceptable range, then the system works normally and continuously collects and analyzes data on the filling machine and its electrical components; when η max <η≤ , indicating that the filling machine is at risk level II, indicating that the mains power has a slight fluctuation, and the system adjusts the inverter through UPS to stabilize the voltage; η> At this time, the filling machine is at risk level III, indicating that the mains voltage has serious fluctuations or interruptions. The system immediately cuts off the connection with the mains and switches to battery power supply to ensure that the filling machine and its electrical components work within a safe range. The judged risk level is transmitted to the human-computer interaction module and an alarm is issued.

Images