CN116007122B - High-efficiency refrigerating machine room energy-saving monitoring system based on data analysis - Google Patents
High-efficiency refrigerating machine room energy-saving monitoring system based on data analysis Download PDFInfo
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Abstract
The invention belongs to the field of energy-saving monitoring, relates to a data analysis technology, and is used for solving the problem that the existing energy-saving monitoring system of a high-efficiency refrigerating machine room cannot meet different requirements of different users, in particular to the energy-saving monitoring system of the high-efficiency refrigerating machine room based on data analysis, which comprises an energy-saving monitoring platform, wherein the energy-saving monitoring platform is in communication connection with an energy consumption monitoring module, a capacity optimizing module, an energy consumption optimizing module, a parameter adjusting module and a storage module, the energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating machine room, the capacity optimizing module is used for carrying out capacity optimizing analysis on the refrigerating machine room and obtaining capacity characteristic parameters of a space interval, and the capacity characteristic parameters of the space interval are sent to the energy-saving monitoring platform; the invention monitors and analyzes the energy consumption of the refrigeration machine room, monitors the energy consumption state of the refrigeration machine room through the productivity coefficient, and timely performs early warning and feedback when the energy consumption state is abnormal.
Description
Technical Field
The invention belongs to the field of energy-saving monitoring, relates to a data analysis technology, and in particular relates to an energy-saving monitoring system of a high-efficiency refrigerating machine room based on data analysis.
Background
The refrigerator is a device for reducing the temperature of an object or space through machinery and a refrigerant, and the refrigerator transfers cool air to the environment through the heat of the cooled object, so that the effects of refrigeration and temperature reduction are achieved.
The existing energy-saving monitoring system of the high-efficiency refrigerating machine room can only monitor the energy consumption state of the refrigerating machine room, early warning is timely carried out when the energy consumption exceeds the standard, however, on the premise that the energy consumption is normal, different users may have different demands; for example, some users want to control costs and thus want to control energy consumption to the minimum; while another part of users want to maximize the energy utilization rate, so that the output of energy consumption is maximized; therefore, the existing energy-saving monitoring system of the high-efficiency refrigerating machine room cannot meet different requirements of different users.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a high-efficiency refrigeration machine room energy-saving monitoring system based on data analysis, which is used for solving the problem that the existing high-efficiency refrigeration machine room energy-saving monitoring system cannot meet different requirements of different users;
the technical problems to be solved by the invention are as follows: how to provide an energy-saving monitoring system of a high-efficiency refrigerating machine room, which can meet different requirements of different users.
The aim of the invention can be achieved by the following technical scheme:
the high-efficiency refrigerating machine room energy-saving monitoring system based on data analysis comprises an energy-saving monitoring platform, wherein the energy-saving monitoring platform is in communication connection with an energy consumption monitoring module, a productivity optimizing module, an energy consumption optimizing module, a parameter adjusting module and a storage module;
the energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating machine room: marking a refrigerating machine room as a monitoring object, and acquiring energy consumption data NH, space data KJ and refrigerating data ZL of the monitoring object after the monitoring object works; the energy consumption data NH, the space data KJ and the refrigeration data ZL of the monitoring object are subjected to numerical calculation to obtain the productivity coefficient CN of the monitoring object; the method comprises the steps that a capacity threshold CNmax is obtained through a storage module, a capacity coefficient CN of a monitoring object is compared with the capacity threshold CNmax, and the monitoring object is marked as a normal capacity object or an abnormal capacity object according to a comparison result;
the capacity optimizing module is used for carrying out capacity optimizing analysis on the refrigerating machine room and obtaining capacity characteristic parameters of the space interval, the capacity characteristic parameters of the space interval are sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the capacity characteristic parameters of the space interval to the storage module for storage after receiving the capacity characteristic parameters of the space interval;
the energy consumption optimization module is used for carrying out energy consumption optimization analysis on the refrigerating machine room and obtaining energy consumption characteristic parameters of the space interval, the energy consumption characteristic parameters of the space interval are sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the energy consumption characteristic parameters of the space interval to the storage module for storage after receiving the energy consumption characteristic parameters of the space interval;
the parameter adjusting module is used for adjusting and analyzing equipment parameters of the refrigerating machine room.
As a preferred embodiment of the present invention, the energy consumption data NH of the monitored object is the sum of the energy consumption of the fan, the water pump and the compressor in the working process of the monitored object, the space data KJ of the monitored object is the refrigerating space volume value of the monitored object, and the refrigerating data ZL of the monitored object is the total refrigerating amount in the working process of the monitored object.
As a preferred embodiment of the present invention, the specific process of comparing the productivity coefficient CN of the monitoring object with the productivity threshold CNmax includes: if the productivity coefficient CN is smaller than the productivity threshold CNmax, judging that the productivity of the monitoring object meets the requirement, and marking the corresponding monitoring object as a normal productivity object; if the productivity coefficient CN is greater than or equal to the productivity threshold CNmax, judging that the productivity of the monitoring object does not meet the requirement, and marking the corresponding monitoring object as an abnormal productivity object; the productivity coefficient CN of the normal productivity object is sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the productivity coefficient CN of the normal productivity object to the productivity optimizing module and the energy consumption optimizing module after receiving the productivity coefficient CN of the normal productivity object.
As a preferred embodiment of the invention, the specific process of carrying out capacity optimization analysis on the refrigerating machine room by the capacity optimization module comprises the following steps: marking a normal productivity object received by a productivity optimization module as an optimization object, acquiring space data of the optimization object, dividing the space range into a plurality of space intervals by a maximum value and a minimum value of the space data of the optimization object, marking the optimization object with the space data in the space intervals as a matching object of the space intervals, marking the matching object with the minimum productivity coefficient CN value in the space intervals as a productivity object of the space intervals, and acquiring fan data, water pump data and compression data of the productivity object, wherein the fan data of the productivity object are the number of fans started when the productivity object works and the output power value when the fans run; the water pump data of the productivity object is the number of the water pumps started when the productivity object works and the output power value when the water pumps operate; the compressed data of the productivity object is the number of compressors started when the productivity object works and the output power value when the compressors run; and forming capacity characteristic parameters of the space interval by the fan data, the water pump data and the compression data of the capacity object.
As a preferred embodiment of the invention, the specific process of the energy consumption optimization module for carrying out energy consumption optimization analysis on the refrigeration machine room comprises the following steps: acquiring energy consumption data NH and working time of an optimization object, and marking the ratio of the energy consumption data NH and the working time of the optimization object as an energy consumption value of the optimization object; and marking the optimization object with the smallest energy consumption value in the space interval as the energy consumption object of the space interval, acquiring fan data, water pump data and compression data of the energy object, and forming energy consumption characteristic parameters of the space interval by the fan data, the water pump data and the compression data of the energy object.
As a preferred embodiment of the present invention, the specific process of the parameter adjustment module for adjusting and analyzing the equipment parameters of the refrigeration machine room includes: uploading the space data of the refrigerating machine room to a parameter adjusting module by a user, selecting an optimizing mode, wherein the optimizing mode comprises a capacity generating mode and an energy consumption mode, marking a space interval matched with the space data uploaded by the user as a screening interval, and if the optimizing mode selected by the user is the capacity generating mode, calling capacity characteristic parameters of the screening interval in a storage module through an energy-saving monitoring platform, and setting and adjusting fan data, water pump data and compression data of the refrigerating machine room according to the capacity characteristic parameters of the screening interval; if the optimization mode selected by the user is the energy consumption mode, the energy consumption characteristic parameters of the screening interval are called in the storage module through the energy-saving monitoring platform, and the fan data, the water pump data and the compression data of the refrigerating machine room are set and adjusted according to the energy consumption characteristic parameters of the screening interval.
As a preferred embodiment of the invention, the working method of the high-efficiency refrigeration machine room energy-saving monitoring system based on data analysis comprises the following steps:
step one: monitoring and analyzing the energy consumption of the refrigeration machine room: marking a refrigerating machine room as a monitoring object, acquiring energy consumption data, space data and refrigerating data of the monitoring object after the monitoring object works, performing numerical calculation to obtain a productivity coefficient, and marking the monitoring object as a normal productivity object or an abnormal productivity object according to the numerical value of the productivity coefficient;
step two: and carrying out capacity optimization analysis on the refrigerating machine room: marking the normal productivity object received by the productivity optimization module as an optimization object, acquiring space data of the optimization object, forming a space range by the maximum value and the minimum value of the space data of the optimization object, dividing the space range into a plurality of space intervals, and acquiring productivity characteristic parameters of the space intervals;
step three: and (3) carrying out energy consumption optimization analysis on the refrigeration machine room: the method comprises the steps of obtaining energy consumption data and working time of an optimization object, marking the ratio of the energy consumption data and the working time of the optimization object as an energy consumption value of the optimization object, and obtaining energy consumption characteristic parameters of a space interval through the energy consumption value;
step four: and adjusting and analyzing equipment parameters of the refrigeration machine room: the user uploads the space data of the refrigerating machine room to the parameter adjusting module and selects an optimizing mode, a space interval matched with the space data uploaded by the user is marked as a screening interval, and fan data, water pump data and compression data of the refrigerating machine room are set according to the optimizing mode selected by the user.
The invention has the following beneficial effects:
1. the energy consumption of the refrigeration machine room can be monitored and analyzed through the energy consumption monitoring module, and the productivity coefficient is obtained through comprehensive analysis and calculation of various parameters of the refrigeration machine room during operation, so that the energy consumption state of the refrigeration machine room is monitored through the productivity coefficient, and early warning and feedback are timely carried out when the energy consumption state is abnormal;
2. the capacity optimizing module can perform capacity optimizing analysis on the refrigerating machine room, the space data is used for dividing the refrigerating machine room, so that the capacity optimizing analysis is performed on the refrigerating machine room in a specific space interval, and each equipment operation parameter of the refrigerating machine room with the highest capacity coefficient is marked, so that when a user needs to optimize the energy utilization rate to the highest, the corresponding capacity characteristic parameter is called for performing parameter adjustment on the equipment, and the operation is simple and convenient;
3. the energy consumption optimization module can perform energy consumption optimization analysis on the refrigerating machine room, and when a user needs to minimize the energy consumption, the corresponding energy consumption characteristic parameters are called to perform parameter adjustment on equipment, so that the energy consumption of the refrigerating machine room in the whole unit time is minimized, and the energy consumption of the refrigerating machine room is reduced;
4. the device parameters of the refrigeration machine room can be adjusted and analyzed through the parameter adjusting module, standard characteristic parameters can be provided for users with different requirements through the capacity mode and the energy consumption mode, so that different requirements of the users are met, and the applicability and the user experience of the system are improved.
Drawings
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.
Example 1
As shown in fig. 1, the high-efficiency refrigeration machine room energy-saving monitoring system based on data analysis comprises an energy-saving monitoring platform, wherein the energy-saving monitoring platform is in communication connection with an energy consumption monitoring module, a capacity optimizing module, an energy consumption optimizing module, a parameter adjusting module and a storage module.
The energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigeration machine room: marking a refrigerating machine room as a monitoring object, and acquiring energy consumption data NH, space data KJ and refrigerating data ZL of the monitoring object after the monitoring object works; the energy consumption data NH of the monitoring object is the sum of the energy consumption of the fan, the water pump and the compressor in the working process of the monitoring object, the space data KJ of the monitoring object is the refrigerating space volume value of the monitoring object, and the refrigerating data ZL of the monitoring object is the total refrigerating amount in the working process of the monitoring object; obtaining a productivity coefficient CN of the monitoring object according to a formula CN= (alpha 1 x NH)/(alpha 2 x KJ+alpha 3 x ZL), wherein the productivity coefficient is a numerical value reflecting the energy consumption state of the monitoring object, and the smaller the numerical value of the productivity coefficient is, the better the energy consumption state of the monitoring object is; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the capacity threshold CNmax is obtained through the storage module, and the capacity coefficient CN of the monitoring object is compared with the capacity threshold CNmax: if the productivity coefficient CN is smaller than the productivity threshold CNmax, judging that the productivity of the monitoring object meets the requirement, and marking the corresponding monitoring object as a normal productivity object; if the productivity coefficient CN is greater than or equal to the productivity threshold CNmax, judging that the productivity of the monitoring object does not meet the requirement, and marking the corresponding monitoring object as an abnormal productivity object; the method comprises the steps that a productivity coefficient CN of a normal productivity object is sent to an energy-saving monitoring platform, and the energy-saving monitoring platform sends the productivity coefficient CN of the normal productivity object to a productivity optimization module and an energy consumption optimization module after receiving the productivity coefficient CN of the normal productivity object; the energy consumption of the refrigeration machine room is monitored and analyzed, and the productivity coefficient is obtained by comprehensively analyzing and calculating various parameters of the refrigeration machine room during operation, so that the energy consumption state of the refrigeration machine room is monitored through the productivity coefficient, and early warning and feedback are timely carried out when the energy consumption state is abnormal.
The capacity optimizing module is used for carrying out capacity optimizing analysis on the refrigerating machine room: marking a normal productivity object received by a productivity optimization module as an optimization object, acquiring space data of the optimization object, dividing the space range into a plurality of space intervals by a maximum value and a minimum value of the space data of the optimization object, marking the optimization object with the space data in the space intervals as a matching object of the space intervals, marking the matching object with the minimum productivity coefficient CN value in the space intervals as a productivity object of the space intervals, and acquiring fan data, water pump data and compression data of the productivity object, wherein the fan data of the productivity object are the number of fans started when the productivity object works and the output power value when the fans run; the water pump data of the productivity object is the number of the water pumps started when the productivity object works and the output power value when the water pumps operate; the compressed data of the productivity object is the number of compressors started when the productivity object works and the output power value when the compressors run; the method comprises the steps that fan data, water pump data and compression data of a capacity object form capacity characteristic parameters of a space interval, the capacity characteristic parameters of the space interval are sent to an energy-saving monitoring platform, and the energy-saving monitoring platform sends the capacity characteristic parameters of the space interval to a storage module for storage after receiving the capacity characteristic parameters of the space interval; the capacity optimization analysis is carried out on the refrigerating machine room, the space data is used for dividing the refrigerating machine room into sections, the capacity optimization analysis is carried out on the refrigerating machine room in a specific space section, and the running parameters of each device of the refrigerating machine room with the highest capacity coefficient are marked, so that when the user needs to optimize the energy utilization rate to the highest, the corresponding capacity characteristic parameters are called for carrying out the parameter adjustment of the device, and the operation is simple and convenient.
The energy consumption optimization module is used for carrying out energy consumption optimization analysis on the refrigerating machine room: acquiring energy consumption data NH and working time of an optimization object, and marking the ratio of the energy consumption data NH and the working time of the optimization object as an energy consumption value of the optimization object; marking an optimization object with the smallest energy consumption value in the space interval as an energy consumption object of the space interval, acquiring fan data, water pump data and compression data of the energy object, forming energy consumption characteristic parameters of the space interval by the fan data, the water pump data and the compression data of the energy object, transmitting the energy consumption characteristic parameters of the space interval to an energy-saving monitoring platform, and transmitting the energy consumption characteristic parameters of the space interval to a storage module for storage after the energy consumption characteristic parameters of the space interval are received by the energy-saving monitoring platform; and (3) carrying out energy consumption optimization analysis on the refrigeration machine room, and when a user needs to reduce the energy consumption to the minimum, calling the corresponding energy consumption characteristic parameters to carry out parameter adjustment on equipment, so that the energy consumed in the whole unit time of the refrigeration machine room is reduced to the minimum, and the energy consumption of the refrigeration machine room is reduced.
The parameter adjusting module is used for adjusting and analyzing equipment parameters of the refrigeration machine room: uploading the space data of the refrigerating machine room to a parameter adjusting module by a user, selecting an optimizing mode, wherein the optimizing mode comprises a capacity generating mode and an energy consumption mode, marking a space interval matched with the space data uploaded by the user as a screening interval, and if the optimizing mode selected by the user is the capacity generating mode, calling capacity characteristic parameters of the screening interval in a storage module through an energy-saving monitoring platform, and setting and adjusting fan data, water pump data and compression data of the refrigerating machine room according to the capacity characteristic parameters of the screening interval; if the optimization mode selected by the user is an energy consumption mode, the energy consumption characteristic parameters of the screening interval are called in the storage module through the energy-saving monitoring platform, and fan data, water pump data and compression data of the refrigeration machine room are set and adjusted according to the energy consumption characteristic parameters of the screening interval; the device parameters of the refrigeration machine room are adjusted and analyzed, standard characteristic parameters can be provided for users with different requirements through the capacity mode and the energy consumption mode, so that the different requirements of the users are met, and the applicability and the user experience of the system are improved.
Example two
As shown in fig. 2, the method for monitoring energy conservation of the high-efficiency refrigeration machine room based on data analysis comprises the following steps:
step one: monitoring and analyzing the energy consumption of the refrigeration machine room: marking a refrigerating machine room as a monitoring object, acquiring energy consumption data, space data and refrigerating data of the monitoring object after the monitoring object works, performing numerical calculation to obtain a productivity coefficient, and marking the monitoring object as a normal productivity object or an abnormal productivity object according to the numerical value of the productivity coefficient;
step two: and carrying out capacity optimization analysis on the refrigerating machine room: marking the normal productivity object received by the productivity optimization module as an optimization object, acquiring space data of the optimization object, forming a space range by the maximum value and the minimum value of the space data of the optimization object, dividing the space range into a plurality of space intervals, and acquiring productivity characteristic parameters of the space intervals;
step three: and (3) carrying out energy consumption optimization analysis on the refrigeration machine room: the method comprises the steps of obtaining energy consumption data and working time of an optimization object, marking the ratio of the energy consumption data and the working time of the optimization object as an energy consumption value of the optimization object, and obtaining energy consumption characteristic parameters of a space interval through the energy consumption value;
step four: and adjusting and analyzing equipment parameters of the refrigeration machine room: the user uploads the space data of the refrigerating machine room to the parameter adjusting module and selects an optimizing mode, a space interval matched with the space data uploaded by the user is marked as a screening interval, and fan data, water pump data and compression data of the refrigerating machine room are set according to the optimizing mode selected by the user.
The energy-saving monitoring system of the high-efficiency refrigerating machine room based on data analysis is used for monitoring and analyzing energy consumption of the refrigerating machine room, marking the refrigerating machine room as a monitoring object, acquiring energy consumption data, space data and refrigerating data of the monitoring object after the monitoring object works, performing numerical calculation to obtain a productivity coefficient, and marking the monitoring object as a normal productivity object or an abnormal productivity object according to the numerical value of the productivity coefficient; and carrying out capacity optimization analysis on the refrigerating machine room: marking the normal productivity object received by the productivity optimization module as an optimization object, acquiring space data of the optimization object, forming a space range by the maximum value and the minimum value of the space data of the optimization object, dividing the space range into a plurality of space intervals, and acquiring productivity characteristic parameters of the space intervals; carrying out energy consumption optimization analysis on the refrigerating machine room, and acquiring energy consumption characteristic parameters of a space interval through energy consumption values; and (3) adjusting and analyzing equipment parameters of the refrigeration machine room, uploading spatial data of the refrigeration machine room to a parameter adjusting module by a user, selecting an optimization mode, marking a spatial interval matched with the spatial data uploaded by the user as a screening interval, and setting fan data, water pump data and compression data of the refrigeration machine room according to the optimization mode selected by the user.
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: formula cn= (α1×nh)/(α2×kj+α3×zl); collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding productivity coefficient for each group of sample data; substituting the set energy production 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 of 5.47, 3.25 and 2.16 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 productivity 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 productivity coefficient is in direct proportion to the value of the energy consumption 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 (5)
1. The high-efficiency refrigerating machine room energy-saving monitoring system based on data analysis is characterized by comprising an energy-saving monitoring platform, wherein the energy-saving monitoring platform is in communication connection with an energy consumption monitoring module, a productivity optimizing module, an energy consumption optimizing module, a parameter adjusting module and a storage module;
the energy consumption monitoring module is used for monitoring and analyzing the energy consumption of the refrigerating machine room: marking a refrigerating machine room as a monitoring object, and acquiring energy consumption data NH, space data KJ and refrigerating data ZL of the monitoring object after the monitoring object works; the energy consumption data NH, the space data KJ and the refrigeration data ZL of the monitoring object are subjected to numerical calculation to obtain the productivity coefficient CN of the monitoring object; the method comprises the steps that a capacity threshold CNmax is obtained through a storage module, a capacity coefficient CN of a monitoring object is compared with the capacity threshold CNmax, and the monitoring object is marked as a normal capacity object or an abnormal capacity object according to a comparison result;
the capacity optimizing module is used for carrying out capacity optimizing analysis on the refrigerating machine room and obtaining capacity characteristic parameters of the space interval, the capacity characteristic parameters of the space interval are sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the capacity characteristic parameters of the space interval to the storage module for storage after receiving the capacity characteristic parameters of the space interval;
the energy consumption optimization module is used for carrying out energy consumption optimization analysis on the refrigerating machine room and obtaining energy consumption characteristic parameters of the space interval, the energy consumption characteristic parameters of the space interval are sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the energy consumption characteristic parameters of the space interval to the storage module for storage after receiving the energy consumption characteristic parameters of the space interval;
the parameter adjusting module is used for adjusting and analyzing equipment parameters of the refrigerating machine room;
the specific process of carrying out capacity optimization analysis on the refrigerating machine room by the capacity optimization module comprises the following steps: marking a normal productivity object received by a productivity optimization module as an optimization object, acquiring space data of the optimization object, dividing the space range into a plurality of space intervals by a maximum value and a minimum value of the space data of the optimization object, marking the optimization object with the space data in the space intervals as a matching object of the space intervals, marking the matching object with the minimum productivity coefficient CN value in the space intervals as a productivity object of the space intervals, and acquiring fan data, water pump data and compression data of the productivity object, wherein the fan data of the productivity object are the number of fans started when the productivity object works and the output power value when the fans run; the water pump data of the productivity object is the number of the water pumps started when the productivity object works and the output power value when the water pumps operate; the compressed data of the productivity object is the number of compressors started when the productivity object works and the output power value when the compressors run; the fan data, the water pump data and the compression data of the productivity object form productivity characteristic parameters of the space interval;
the specific process of the parameter adjusting module for adjusting and analyzing the equipment parameters of the refrigeration machine room comprises the following steps: uploading the space data of the refrigerating machine room to a parameter adjusting module by a user, selecting an optimizing mode, wherein the optimizing mode comprises a capacity generating mode and an energy consumption mode, marking a space interval matched with the space data uploaded by the user as a screening interval, and if the optimizing mode selected by the user is the capacity generating mode, calling capacity characteristic parameters of the screening interval in a storage module through an energy-saving monitoring platform, and setting and adjusting fan data, water pump data and compression data of the refrigerating machine room according to the capacity characteristic parameters of the screening interval; if the optimization mode selected by the user is the energy consumption mode, the energy consumption characteristic parameters of the screening interval are called in the storage module through the energy-saving monitoring platform, and the fan data, the water pump data and the compression data of the refrigerating machine room are set and adjusted according to the energy consumption characteristic parameters of the screening interval.
2. The energy-saving monitoring system of the high-efficiency refrigerating machine room based on data analysis according to claim 1, wherein the energy consumption data NH of the monitored object is the sum of the energy consumption of a fan, a water pump and a compressor in the working process of the monitored object, the space data KJ of the monitored object is the refrigerating space volume value of the monitored object, and the refrigerating data ZL of the monitored object is the total refrigerating amount in the working process of the monitored object.
3. The energy-saving monitoring system for a high-efficiency refrigerating machine room based on data analysis according to claim 2, wherein the specific process of comparing the productivity coefficient CN of the monitored object with the productivity threshold CNmax comprises: if the productivity coefficient CN is smaller than the productivity threshold CNmax, judging that the productivity of the monitoring object meets the requirement, and marking the corresponding monitoring object as a normal productivity object; if the productivity coefficient CN is greater than or equal to the productivity threshold CNmax, judging that the productivity of the monitoring object does not meet the requirement, and marking the corresponding monitoring object as an abnormal productivity object; the productivity coefficient CN of the normal productivity object is sent to the energy-saving monitoring platform, and the energy-saving monitoring platform sends the productivity coefficient CN of the normal productivity object to the productivity optimizing module and the energy consumption optimizing module after receiving the productivity coefficient CN of the normal productivity object.
4. The energy-saving monitoring system of a high-efficiency refrigerating machine room based on data analysis according to claim 3, wherein the specific process of performing the energy consumption optimization analysis on the refrigerating machine room by the energy consumption optimization module comprises the following steps: acquiring energy consumption data NH and working time of an optimization object, and marking the ratio of the energy consumption data NH and the working time of the optimization object as an energy consumption value of the optimization object; and marking the optimization object with the smallest energy consumption value in the space interval as the energy consumption object of the space interval, acquiring fan data, water pump data and compression data of the energy object, and forming energy consumption characteristic parameters of the space interval by the fan data, the water pump data and the compression data of the energy object.
5. The energy-saving monitoring system of a high-efficiency refrigerating machine room based on data analysis according to any one of claims 1 to 4, wherein the working method of the energy-saving monitoring system of the high-efficiency refrigerating machine room based on data analysis comprises the following steps:
step one: monitoring and analyzing the energy consumption of the refrigeration machine room: marking a refrigerating machine room as a monitoring object, acquiring energy consumption data, space data and refrigerating data of the monitoring object after the monitoring object works, performing numerical calculation to obtain a productivity coefficient, and marking the monitoring object as a normal productivity object or an abnormal productivity object according to the numerical value of the productivity coefficient;
step two: and carrying out capacity optimization analysis on the refrigerating machine room: marking the normal productivity object received by the productivity optimization module as an optimization object, acquiring space data of the optimization object, forming a space range by the maximum value and the minimum value of the space data of the optimization object, dividing the space range into a plurality of space intervals, and acquiring productivity characteristic parameters of the space intervals;
step three: and (3) carrying out energy consumption optimization analysis on the refrigeration machine room: the method comprises the steps of obtaining energy consumption data and working time of an optimization object, marking the ratio of the energy consumption data and the working time of the optimization object as an energy consumption value of the optimization object, and obtaining energy consumption characteristic parameters of a space interval through the energy consumption value;
step four: and adjusting and analyzing equipment parameters of the refrigeration machine room: the user uploads the space data of the refrigerating machine room to the parameter adjusting module and selects an optimizing mode, a space interval matched with the space data uploaded by the user is marked as a screening interval, and fan data, water pump data and compression data of the refrigerating machine room are set according to the optimizing mode selected by the user.
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