CN117722750B - Refrigerating air conditioner operation safety supervision system for SVG reactive compensation - Google Patents
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Abstract
The invention belongs to the reactive compensation field, relates to a data analysis technology, and is used for solving the problem that a refrigeration air conditioner operation safety supervision system in the prior art cannot comprehensively analyze a plurality of operation parameters of a refrigeration air conditioner, in particular to a refrigeration air conditioner operation safety supervision system for SVG reactive compensation, which comprises a safety supervision platform, wherein the safety supervision platform is in communication connection with a compensation control module, an operation monitoring module, an energy consumption monitoring module and a storage module; the compensation control module is used for carrying out reactive compensation control on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner; the invention can carry out reactive compensation control on the refrigerating air conditioner, and according to the collected data, the system automatically adjusts the parameters of the SVG reactive compensation device, thereby realizing dynamic reactive compensation and ensuring the system to run in an optimal state.
Description
Technical Field
The invention belongs to the field of reactive compensation, relates to a data analysis technology, and particularly relates to a refrigerating air conditioner operation safety supervision system for SVG reactive compensation.
Background
The SVG reactive compensation refrigerating air conditioner operation safety supervision system is used for ensuring stable and efficient operation of refrigerating air conditioner equipment in an SVG reactive compensation mode and providing real-time monitoring and early warning for equipment operation safety.
The operation safety supervision system of the refrigeration air conditioner in the prior art can only independently monitor a plurality of single parameters of the refrigeration air conditioner, but cannot comprehensively analyze a plurality of operation parameters of the refrigeration air conditioner, so that the actual operation state of the refrigeration air conditioner is difficult to monitor, and the function of monitoring and optimizing the energy consumption of the refrigeration air conditioner is lacking, so that the energy consumption cannot be reduced through an optimized control strategy.
The application provides a solution to the technical problem.
Disclosure of Invention
The invention aims to provide a refrigerating air conditioner operation safety supervision system for SVG reactive compensation, which is used for solving the problem that the refrigerating air conditioner operation safety supervision system in the prior art cannot comprehensively analyze a plurality of operation parameters of a refrigerating air conditioner;
the technical problems to be solved by the invention are as follows: how to provide a refrigerating air conditioner operation safety supervision system for SVG reactive compensation, which can comprehensively analyze a plurality of operation parameters of the refrigerating air conditioner.
The aim of the invention can be achieved by the following technical scheme:
the refrigerating air conditioner operation safety supervision system for SVG reactive compensation comprises a safety supervision platform, wherein the safety supervision platform is in communication connection with a compensation control module, an operation monitoring module, an energy consumption monitoring module and a storage module;
The compensation control module is used for carrying out reactive compensation control on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner;
The operation monitoring module is used for monitoring and analyzing the operation state of the refrigerating air conditioner: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, and acquiring load data FZ, heating data FR and vibration data ZD of the refrigeration air conditioner in the monitoring periods; obtaining an operation coefficient YX of a monitoring object in a monitoring period by carrying out numerical calculation on load data FZ, heating data FR and vibration data ZD; judging whether the running state of the monitored object in the monitoring period meets the requirement or not through the running coefficient YX;
The energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating air conditioner: and obtaining the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, and judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient.
As a preferred embodiment of the present invention, the operation parameters of the refrigerating air conditioner include current data, voltage data, pressure data, temperature data and humidity data, wherein the current data and the voltage data are respectively a current value and a voltage value of a power supply line when the refrigerating air conditioner is operated, the pressure data is a refrigerating pressure value when the refrigerating air conditioner is operated, and the temperature data and the humidity data are respectively an air temperature value and an air humidity value of a refrigerating environment when the refrigerating air conditioner is operated.
As a preferred embodiment of the present invention, the process of acquiring the load data FZ includes: the method comprises the steps of acquiring a current value of a power supply circuit of the refrigeration air conditioner in real time in a monitoring period, marking a ratio of a maximum value of the current value of the power supply circuit of the refrigeration air conditioner in the monitoring period to a rated current value of the refrigeration air conditioner as a stream load value, marking a time difference value of the current value of the power supply circuit of the refrigeration air conditioner reaching the maximum value and the minimum value as a time difference value, marking a ratio of the time difference value to the duration of the monitoring period as a time load value, and marking a difference value of the stream load value and the time load value as load data FZ; the acquisition process of the heating data FR includes: setting a plurality of monitoring points on the outer surface of a refrigerating air conditioner cabinet, acquiring cabinet temperature values of the positions of the monitoring points in real time in a monitoring period, marking the maximum value of the cabinet temperature values of the monitoring points in the monitoring period as the calorific value of the monitoring points, and summing the calorific values of all the monitoring points to obtain average value to obtain heating data FR; the vibration data ZD is the maximum value of vibration frequency of the refrigerating air conditioner case in the monitoring period.
As a preferred embodiment of the present invention, the specific process of determining whether the operation state of the monitoring object in the monitoring period satisfies the requirement includes: the operation threshold YXmax is obtained by the storage module, and the operation coefficient YX is compared with the operation threshold YXmax: if the operation coefficient YX is smaller than the operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in the monitoring period meets the requirement; if the operation coefficient YX is greater than or equal to the operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in the monitoring period does not meet the requirement, generating an operation abnormal signal and sending the operation abnormal signal to the safety supervision platform, and sending the operation abnormal signal to a mobile phone terminal of a manager after the safety supervision platform receives the operation abnormal signal.
As a preferred embodiment of the present invention, the specific process for determining whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement includes: the energy consumption threshold is obtained through the storage module, and the energy consumption coefficient is compared with the energy consumption threshold: if the energy consumption coefficient is smaller than the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement; if the energy consumption coefficient is larger than or equal to the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period does not meet the requirement, and carrying out energy consumption optimization analysis on the refrigeration air conditioner.
As a preferred embodiment of the invention, the specific process of carrying out energy consumption optimization analysis on the refrigeration air conditioner comprises the following steps: marking L1 monitoring time periods with the minimum energy consumption value as an optimization time period, acquiring operation parameters of the refrigeration air conditioner in the optimization time period, forming a current optimization range by the maximum value and the minimum value of current data of the refrigeration air conditioner in the optimization time period, forming a voltage optimization range by the maximum value and the minimum value of voltage data of the refrigeration air conditioner in the optimization time period, and forming a pressure optimization range by the maximum value and the minimum value of pressure data of the refrigeration air conditioner in the optimization time period; the method comprises the steps of obtaining a continuous operation process of the refrigeration air conditioner in a monitoring period, marking the ratio of the energy consumption value of the continuous operation process to the continuous operation time length as a consumption average coefficient, forming a continuous operation range by the maximum value and the minimum value of the continuous operation time lengths of L2 continuous operation processes with the minimum consumption average coefficient value, forming optimization parameters of the refrigeration air conditioner by a current optimization range, a voltage optimization range, a pressure optimization range and the continuous operation range, sending the optimization parameters to a safety supervision platform, and sending the optimization parameters to a storage module for storage after the safety supervision platform receives the optimization parameters.
As a preferred embodiment of the invention, the working method of the refrigerating air conditioner operation safety supervision system for SVG reactive compensation comprises the following steps:
Step one: reactive compensation control is carried out on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner;
Step two: the operation state of the refrigeration air conditioner is monitored and analyzed: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring load data FZ, heating data FR and vibration data ZD of the refrigerating air conditioner in the monitoring periods, performing numerical calculation to obtain an operation coefficient YX, and judging whether the operation state of the refrigerating air conditioner in the monitoring periods meets the requirement or not through the operation coefficient YX;
step three: monitoring and analyzing the energy consumption of the refrigeration air conditioner: acquiring the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient, and executing the fourth step when the energy consumption state does not meet the requirement;
Step four: and (3) carrying out energy consumption optimization analysis on the refrigerating air conditioner: and the current optimization range, the voltage optimization range, the pressure optimization range and the continuous operation range of the refrigeration air conditioner form optimization parameters of the refrigeration air conditioner, and the optimization parameters are sent to the safety supervision platform.
The invention has the following beneficial effects:
The reactive compensation control can be carried out on the refrigerating air conditioner through the compensation control module, the system automatically adjusts parameters of the SVG reactive compensation device according to the collected data, dynamic reactive compensation is realized, and the system is ensured to run in an optimal state;
The operation monitoring module can monitor and analyze the operation state of the refrigeration air conditioner, acquire and process a plurality of operation parameters of the refrigeration air conditioner to obtain operation coefficients, and feed back the operation state of the refrigeration air conditioner in a monitoring period through the operation coefficients, so that early warning is timely carried out when abnormal operation occurs, and the operation stability of equipment is improved;
The energy consumption monitoring module can monitor and analyze the energy consumption of the refrigeration air conditioner, when the energy consumption is abnormal, the energy consumption optimizing and analyzing process is used for analyzing the parameters affecting the energy consumption of the refrigeration air conditioner and obtaining optimized parameters, the refrigeration air conditioner is controlled to operate according to the optimized parameters, and the energy consumption of the refrigeration air conditioner is reduced through an optimizing control strategy.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the refrigerating air conditioner operation safety supervision system for SVG reactive compensation comprises a safety supervision platform, wherein the safety supervision platform is in communication connection with a compensation control module, an operation monitoring module, an energy consumption monitoring module and a storage module.
The compensation control module is used for carrying out reactive compensation control on the refrigerating air conditioner: the method comprises the steps that operation parameters of the refrigeration air conditioner are obtained when the refrigeration air conditioner operates, the operation parameters of the refrigeration air conditioner comprise current data, voltage data, pressure data, temperature data and humidity data, the current data and the voltage data are respectively a current value and a voltage value of a power supply circuit when the refrigeration air conditioner operates, the pressure data are respectively a refrigeration pressure value when the refrigeration air conditioner operates, and the temperature data and the humidity data are respectively an air temperature value and an air humidity value of a refrigeration environment when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner; and (3) performing reactive compensation control on the refrigerating air conditioner, and automatically adjusting parameters of the SVG reactive compensation device by the system according to the acquired data to realize dynamic reactive compensation and ensure that the system operates in an optimal state.
The operation monitoring module is used for monitoring and analyzing the operation state of the refrigerating air conditioner: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, and acquiring load data FZ, heating data FR and vibration data ZD of the refrigeration air conditioner in the monitoring periods; the process for acquiring the load data FZ includes: the method comprises the steps of acquiring a current value of a power supply circuit of the refrigeration air conditioner in real time in a monitoring period, marking a ratio of a maximum value of the current value of the power supply circuit of the refrigeration air conditioner in the monitoring period to a rated current value of the refrigeration air conditioner as a stream load value, marking a time difference value of the current value of the power supply circuit of the refrigeration air conditioner reaching the maximum value and the minimum value as a time difference value, marking a ratio of the time difference value to the duration of the monitoring period as a time load value, and marking a difference value of the stream load value and the time load value as load data FZ; the acquisition process of the heating data FR includes: setting a plurality of monitoring points on the outer surface of a refrigerating air conditioner cabinet, acquiring cabinet temperature values of the positions of the monitoring points in real time in a monitoring period, marking the maximum value of the cabinet temperature values of the monitoring points in the monitoring period as the calorific value of the monitoring points, and summing the calorific values of all the monitoring points to obtain average value to obtain heating data FR; the vibration data ZD is the maximum value of the vibration frequency of the refrigerating air conditioner case in the monitoring period; obtaining an operation coefficient YX of a monitored object in a monitoring period through a formula YX=α1×FZ+α2×FR+α3×ZD, wherein α1, α2 and α3 are all proportional coefficients, and α1 > α2 > α3 > 1; the operation threshold YXmax is obtained by the storage module, and the operation coefficient YX is compared with the operation threshold YXmax: if the operation coefficient YX is smaller than the operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in the monitoring period meets the requirement; if the operation coefficient YX is greater than or equal to an operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in a monitoring period does not meet the requirement, generating an operation abnormal signal and sending the operation abnormal signal to a safety supervision platform, and sending the operation abnormal signal to a mobile phone terminal of a manager after the safety supervision platform receives the operation abnormal signal; the operation state of the refrigeration air conditioner is monitored and analyzed, a plurality of operation parameters of the refrigeration air conditioner are collected and processed to obtain operation coefficients, the operation states of the refrigeration air conditioner in a monitoring period are fed back through the operation coefficients, and therefore early warning is timely carried out when abnormal operation occurs, and the operation stability of equipment is improved.
The energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating air conditioner: the method comprises the steps of obtaining energy consumption values of a refrigeration air conditioner in each monitoring period at the end time of a monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, obtaining an energy consumption threshold through a storage module, and comparing the energy consumption coefficient with the energy consumption threshold: if the energy consumption coefficient is smaller than the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement; if the energy consumption coefficient is larger than or equal to the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period does not meet the requirement, and carrying out energy consumption optimization analysis on the refrigeration air conditioner: marking L1 monitoring time periods with the minimum energy consumption value as an optimization time period, acquiring operation parameters of the refrigeration air conditioner in the optimization time period, forming a current optimization range by the maximum value and the minimum value of current data of the refrigeration air conditioner in the optimization time period, forming a voltage optimization range by the maximum value and the minimum value of voltage data of the refrigeration air conditioner in the optimization time period, and forming a pressure optimization range by the maximum value and the minimum value of pressure data of the refrigeration air conditioner in the optimization time period; the method comprises the steps of obtaining a continuous operation process of a refrigeration air conditioner in a monitoring period, marking the ratio of an energy consumption value of the continuous operation process to a continuous operation time length as a uniform consumption coefficient, forming a continuous operation range by the maximum value and the minimum value of the continuous operation time lengths of L2 continuous operation processes with minimum value of the uniform consumption coefficient, forming optimization parameters of the refrigeration air conditioner by a current optimization range, a voltage optimization range, a pressure optimization range and the continuous operation range, sending the optimization parameters to a safety supervision platform, and sending the optimization parameters to a storage module for storage after the safety supervision platform receives the optimization parameters; and when the energy consumption is abnormal, analyzing parameters influencing the energy consumption of the refrigeration air conditioner through an energy consumption optimizing analysis process to obtain optimized parameters, controlling the operation of the refrigeration air conditioner according to the optimized parameters, and reducing the energy consumption of the refrigeration air conditioner through an optimizing control strategy.
Embodiment two: as shown in fig. 2, a method for monitoring and controlling operation safety of a refrigerating air conditioner for SVG reactive compensation includes the following steps:
Step one: reactive compensation control is carried out on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner;
Step two: the operation state of the refrigeration air conditioner is monitored and analyzed: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring load data FZ, heating data FR and vibration data ZD of the refrigerating air conditioner in the monitoring periods, performing numerical calculation to obtain an operation coefficient YX, and judging whether the operation state of the refrigerating air conditioner in the monitoring periods meets the requirement or not through the operation coefficient YX;
step three: monitoring and analyzing the energy consumption of the refrigeration air conditioner: acquiring the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient, and executing the fourth step when the energy consumption state does not meet the requirement;
Step four: and (3) carrying out energy consumption optimization analysis on the refrigerating air conditioner: and the current optimization range, the voltage optimization range, the pressure optimization range and the continuous operation range of the refrigeration air conditioner form optimization parameters of the refrigeration air conditioner, and the optimization parameters are sent to the safety supervision platform.
The refrigerating air conditioner operation safety supervision system for SVG reactive compensation obtains the operation parameters of the refrigerating air conditioner when the refrigerating air conditioner operates in operation; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner; generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring load data FZ, heating data FR and vibration data ZD of the refrigerating air conditioner in the monitoring periods, performing numerical calculation to obtain an operation coefficient YX, and judging whether the operation state of the refrigerating air conditioner in the monitoring periods meets the requirement or not through the operation coefficient YX; acquiring the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient, and executing the fourth step when the energy consumption state does not meet the requirement; and the current optimization range, the voltage optimization range, the pressure optimization range and the continuous operation range of the refrigeration air conditioner form optimization parameters of the refrigeration air conditioner, and the optimization parameters are sent to the safety supervision platform.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yx=α1×fz+α2×fr+α3×zd; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding operation coefficient for each group of sample data; substituting the set operation coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.58, 2.35 and 2.04 respectively;
The size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding operation coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the operation coefficient is in direct proportion to the value of the load data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The refrigerating air conditioner operation safety supervision system for SVG reactive compensation is characterized by comprising a safety supervision platform, wherein the safety supervision platform is in communication connection with a compensation control module, an operation monitoring module, an energy consumption monitoring module and a storage module;
The compensation control module is used for carrying out reactive compensation control on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner;
The operation monitoring module is used for monitoring and analyzing the operation state of the refrigerating air conditioner: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, and acquiring load data FZ, heating data FR and vibration data ZD of the refrigeration air conditioner in the monitoring periods; obtaining an operation coefficient YX of a monitoring object in a monitoring period by carrying out numerical calculation on load data FZ, heating data FR and vibration data ZD; judging whether the running state of the monitored object in the monitoring period meets the requirement or not through the running coefficient YX;
The energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating air conditioner: acquiring the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, and judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient;
The process for acquiring the load data FZ includes: the method comprises the steps of acquiring a current value of a power supply circuit of the refrigeration air conditioner in real time in a monitoring period, marking a ratio of a maximum value of the current value of the power supply circuit of the refrigeration air conditioner in the monitoring period to a rated current value of the refrigeration air conditioner as a stream load value, marking a time difference value of the current value of the power supply circuit of the refrigeration air conditioner reaching the maximum value and the minimum value as a time difference value, marking a ratio of the time difference value to the duration of the monitoring period as a time load value, and marking a difference value of the stream load value and the time load value as load data FZ; the acquisition process of the heating data FR includes: setting a plurality of monitoring points on the outer surface of a refrigerating air conditioner cabinet, acquiring cabinet temperature values of the positions of the monitoring points in real time in a monitoring period, marking the maximum value of the cabinet temperature values of the monitoring points in the monitoring period as the calorific value of the monitoring points, and summing the calorific values of all the monitoring points to obtain average value to obtain heating data FR; the vibration data ZD is the maximum value of the vibration frequency of the refrigerating air conditioner case in the monitoring period;
the specific process for judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement comprises the following steps: the energy consumption threshold is obtained through the storage module, and the energy consumption coefficient is compared with the energy consumption threshold: if the energy consumption coefficient is smaller than the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement; if the energy consumption coefficient is larger than or equal to the energy consumption threshold, judging that the energy consumption state of the refrigeration air conditioner in the monitoring period does not meet the requirement, and carrying out energy consumption optimization analysis on the refrigeration air conditioner;
The specific process for carrying out energy consumption optimization analysis on the refrigeration air conditioner comprises the following steps: marking L1 monitoring time periods with the minimum energy consumption value as an optimization time period, acquiring operation parameters of the refrigeration air conditioner in the optimization time period, forming a current optimization range by the maximum value and the minimum value of current data of the refrigeration air conditioner in the optimization time period, forming a voltage optimization range by the maximum value and the minimum value of voltage data of the refrigeration air conditioner in the optimization time period, and forming a pressure optimization range by the maximum value and the minimum value of pressure data of the refrigeration air conditioner in the optimization time period; the method comprises the steps of obtaining a continuous operation process of the refrigeration air conditioner in a monitoring period, marking the ratio of the energy consumption value of the continuous operation process to the continuous operation time length as a consumption average coefficient, forming a continuous operation range by the maximum value and the minimum value of the continuous operation time lengths of L2 continuous operation processes with the minimum consumption average coefficient value, forming optimization parameters of the refrigeration air conditioner by a current optimization range, a voltage optimization range, a pressure optimization range and the continuous operation range, sending the optimization parameters to a safety supervision platform, and sending the optimization parameters to a storage module for storage after the safety supervision platform receives the optimization parameters.
2. The system of claim 1, wherein the operating parameters of the air conditioner include current data, voltage data, pressure data, temperature data, and humidity data, the current data and the voltage data are respectively a current value and a voltage value of a power supply line when the air conditioner is operated, the pressure data is a refrigeration pressure value when the air conditioner is operated, and the temperature data and the humidity data are respectively an air temperature value and an air humidity value of a refrigeration environment when the air conditioner is operated.
3. The refrigerating and air conditioning operation safety supervision system for SVG reactive compensation according to claim 2, wherein the specific process of determining whether the operation state of the monitored object in the monitoring period satisfies the requirement comprises: the operation threshold YXmax is obtained by the storage module, and the operation coefficient YX is compared with the operation threshold YXmax: if the operation coefficient YX is smaller than the operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in the monitoring period meets the requirement; if the operation coefficient YX is greater than or equal to the operation threshold YXmax, judging that the operation state of the refrigeration air conditioner in the monitoring period does not meet the requirement, generating an operation abnormal signal and sending the operation abnormal signal to the safety supervision platform, and sending the operation abnormal signal to a mobile phone terminal of a manager after the safety supervision platform receives the operation abnormal signal.
4. A refrigeration air conditioning operation safety supervision system for SVG reactive compensation according to any one of claims 1 to 3, wherein the working method of the refrigeration air conditioning operation safety supervision system for SVG reactive compensation comprises the steps of:
Step one: reactive compensation control is carried out on the refrigerating air conditioner: acquiring operation parameters of the refrigeration air conditioner when the refrigeration air conditioner operates; adjusting and controlling parameters of the SVG reactive power compensation device according to the operation parameters of the refrigerating air conditioner;
Step two: the operation state of the refrigeration air conditioner is monitored and analyzed: generating a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring load data FZ, heating data FR and vibration data ZD of the refrigerating air conditioner in the monitoring periods, performing numerical calculation to obtain an operation coefficient YX, and judging whether the operation state of the refrigerating air conditioner in the monitoring periods meets the requirement or not through the operation coefficient YX;
step three: monitoring and analyzing the energy consumption of the refrigeration air conditioner: acquiring the energy consumption value of the refrigeration air conditioner in each monitoring period at the end time of the monitoring period, summing the energy consumption values of the refrigeration air conditioner in all the monitoring periods, averaging to obtain an energy consumption coefficient, judging whether the energy consumption state of the refrigeration air conditioner in the monitoring period meets the requirement or not through the energy consumption coefficient, and executing the fourth step when the energy consumption state does not meet the requirement;
Step four: and (3) carrying out energy consumption optimization analysis on the refrigerating air conditioner: and the current optimization range, the voltage optimization range, the pressure optimization range and the continuous operation range of the refrigeration air conditioner form optimization parameters of the refrigeration air conditioner, and the optimization parameters are sent to the safety supervision platform.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004036993A (en) * | 2002-07-03 | 2004-02-05 | Kokan Keisoku Kk | Controlling method and device for refrigerant compressor |
| CN2919097Y (en) * | 2006-02-21 | 2007-07-04 | 深圳市鑫诺亚科技有限公司 | Electricity saving device of split-type air conditioner |
| CN201096392Y (en) * | 2007-07-13 | 2008-08-06 | 张亦翔 | Power factor compensation -type air conditioner integrated energy conservation equipment |
| CN101344300A (en) * | 2007-07-13 | 2009-01-14 | 张亦翔 | Power factor compensation type air conditioner integral power economizer |
| JP2009118685A (en) * | 2007-11-08 | 2009-05-28 | Toshiba Corp | Method for controlling ac voltage |
| CN102345912A (en) * | 2011-06-27 | 2012-02-08 | 内蒙古电力勘测设计院 | SVG (static var generator) room temperature control system |
| CN110945765A (en) * | 2017-07-18 | 2020-03-31 | 大金工业株式会社 | Active filtering system and air conditioning device |
| CN111520841A (en) * | 2020-03-30 | 2020-08-11 | 国网天津市电力公司电力科学研究院 | Cooling, heating and power combined supply system regulation and control strategy based on efficient low-carbon emission criterion |
| CN116742649A (en) * | 2023-06-13 | 2023-09-12 | 江苏南自通华智慧能源股份有限公司 | Reactive compensation linear zero-crossing detection circuit and dynamic adjustment zero-crossing switching method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109990444B (en) * | 2017-12-29 | 2022-05-13 | 大金工业株式会社 | Air quality management system and method |
-
2024
- 2024-02-07 CN CN202410173032.5A patent/CN117722750B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004036993A (en) * | 2002-07-03 | 2004-02-05 | Kokan Keisoku Kk | Controlling method and device for refrigerant compressor |
| CN2919097Y (en) * | 2006-02-21 | 2007-07-04 | 深圳市鑫诺亚科技有限公司 | Electricity saving device of split-type air conditioner |
| CN201096392Y (en) * | 2007-07-13 | 2008-08-06 | 张亦翔 | Power factor compensation -type air conditioner integrated energy conservation equipment |
| CN101344300A (en) * | 2007-07-13 | 2009-01-14 | 张亦翔 | Power factor compensation type air conditioner integral power economizer |
| JP2009118685A (en) * | 2007-11-08 | 2009-05-28 | Toshiba Corp | Method for controlling ac voltage |
| CN102345912A (en) * | 2011-06-27 | 2012-02-08 | 内蒙古电力勘测设计院 | SVG (static var generator) room temperature control system |
| CN110945765A (en) * | 2017-07-18 | 2020-03-31 | 大金工业株式会社 | Active filtering system and air conditioning device |
| CN111520841A (en) * | 2020-03-30 | 2020-08-11 | 国网天津市电力公司电力科学研究院 | Cooling, heating and power combined supply system regulation and control strategy based on efficient low-carbon emission criterion |
| CN116742649A (en) * | 2023-06-13 | 2023-09-12 | 江苏南自通华智慧能源股份有限公司 | Reactive compensation linear zero-crossing detection circuit and dynamic adjustment zero-crossing switching method |
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