CN116857763B - Intelligent adjusting system for commercial air conditioner refrigerating equipment - Google Patents
Intelligent adjusting system for commercial air conditioner refrigerating equipment Download PDFInfo
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- 238000004378 air conditioning Methods 0.000 claims abstract description 36
- 238000005057 refrigeration Methods 0.000 claims abstract description 34
- 230000002159 abnormal effect Effects 0.000 claims abstract description 32
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 31
- 238000007667 floating Methods 0.000 claims description 23
- 238000001816 cooling Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000009423 ventilation Methods 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000007175 bidirectional communication Effects 0.000 description 1
- 230000006854 communication Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/20—Heat-exchange fluid temperature
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- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an intelligent regulation system for commercial air-conditioning refrigeration equipment, which relates to the technical field of air-conditioning intelligent regulation and solves the technical problem that in the prior art, the performance of the air-conditioning refrigeration equipment cannot be accurately judged from the requirement of the current position; and carrying out real-time load analysis on the corresponding analysis object, and judging whether the real-time load is normal or not, so that the real-time operation of the analysis object is monitored, the operation of the analysis object is regulated in real time, and the reduction of the operation efficiency of the analysis object caused by the abnormal real-time load is prevented.
Description
Technical Field
The invention relates to the technical field of intelligent regulation of air conditioners, in particular to an intelligent regulation system for commercial air conditioner refrigeration equipment.
Background
Along with the improvement of living standard, the requirements of people on living quality are higher than before, the requirements on central air conditioner are no longer simple cooling and heating, and natural and comfortable air supply is required. In addition, the traditional central air conditioner adopts a compressor to generate cold energy, the energy consumption of the air conditioner is larger due to the adjustment mode, the quality of air supply is reduced after the air conditioner is operated for a long time, and the commercial air conditioner is a common name of air conditioning units above 3HP, so that the variety of the commercial air conditioner is quite large. Comprises an air-cooled heat pump type central air-conditioning unit, a water-cooled screw type water chilling unit, a centrifugal water chilling unit and the like.
However, in the prior art, in the intelligent adjustment process of the air-conditioning refrigeration equipment, the performance of the air-conditioning refrigeration equipment and the requirement of the current position cannot be accurately judged, so that the working efficiency of the air-conditioning refrigeration equipment cannot be ensured; meanwhile, the air conditioner refrigeration equipment cannot be monitored in real time, and the air conditioner refrigeration equipment cannot be timely adjusted in high-strength load.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an intelligent adjusting system for commercial air-conditioning refrigerating equipment, which is used for carrying out performance analysis on the air-conditioning refrigerating equipment which is put into use, judging whether the performance of the air-conditioning refrigerating equipment at the current position is qualified or not, so as to analyze whether the air-conditioning refrigerating equipment can meet the requirement of the current position, accurately analyze the performance of the air-conditioning refrigerating equipment, timely adjust according to equipment with performance which does not meet the requirement, and be beneficial to improving the working efficiency of the air-conditioning refrigerating equipment; and carrying out real-time load analysis on the corresponding analysis object, and judging whether the real-time load is normal or not, so that the real-time operation of the analysis object is monitored, the operation of the analysis object is regulated in real time, and the reduction of the operation efficiency of the analysis object caused by the abnormal real-time load is prevented.
The aim of the invention can be achieved by the following technical scheme:
a intelligent regulation system for commercial air conditioner refrigeration plant, including the server, the server is connected with:
the device performance analysis unit is used for performing performance analysis on the used air-conditioning refrigeration device, judging whether the performance of the air-conditioning refrigeration device at the current position is qualified or not, marking the air-conditioning refrigeration device as an analysis object, obtaining a device performance analysis coefficient of the analysis object through analysis, comparing the device performance analysis coefficient to generate a low-efficiency matching signal and a high-efficiency matching signal, and sending the low-efficiency matching signal and the high-efficiency matching signal to the server;
the device load analysis unit is used for carrying out real-time load analysis on the corresponding analysis object, judging whether the real-time load is normal or not, monitoring the real-time operation of the analysis object, generating a high-intensity load signal and a low-intensity load signal through analysis, and sending the high-intensity load signal and the low-intensity load signal to the server;
the operation control analysis unit is used for analyzing the operation control of the analysis object, judging whether the operation control of the analysis object is normal, generating an operation control abnormal signal and an operation control normal signal through analysis, and sending the operation control abnormal signal and the operation control normal signal to the server;
the use scene analysis unit is used for analyzing the real-time use of the corresponding analysis object, judging the use safety of the current area, generating a use scene analysis coefficient of the analysis object through analysis, generating a use risk signal and a use safety signal through analysis of the use scene analysis coefficient, and sending the use risk signal and the use safety signal to the server.
As a preferred embodiment of the present invention, the operation of the device performance analysis unit is as follows:
acquiring the ratio of the rated cooling space volume of the analysis object to the space volume of the real-time position and the corresponding difference value of the maximum temperature reduction value in the unit time of the analysis object and the maximum temperature difference in the unit time corresponding to the real-time position, acquiring the equipment performance analysis coefficient of the analysis object through analysis, and comparing the equipment performance analysis coefficient of the analysis object with the threshold range of the equipment performance analysis coefficient:
if the equipment performance analysis coefficient of the analysis object exceeds the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object meets the current position requirement, and if the analysis object is unqualified in matching, generating a low-efficiency matching signal and sending the low-efficiency matching signal to a server; if the equipment performance analysis coefficient of the analysis object is in the equipment performance analysis coefficient threshold range, judging that the performance of the corresponding analysis object meets the current position requirement, and the analysis object is matched and qualified, generating a high-efficiency matching signal and transmitting the high-efficiency matching signal to a server; if the equipment performance analysis coefficient of the analysis object does not exceed the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object does not meet the current position requirement, and if the analysis object is qualified in matching, generating an abnormal matching signal and sending the abnormal matching signal to the server.
As a preferred embodiment of the invention, the operation of the device load analysis unit is as follows:
collecting a difference value between a target temperature set by a current analysis object and a current environment temperature, and marking the difference value as a preset reduced temperature value; acquiring the flow of the chilled water required by the analysis object to reduce the threshold temperature, and acquiring the preset flow of the chilled water of the analysis object through the flow of the chilled water required by the analysis object to reduce the threshold temperature and the preset reduced temperature value;
collecting a difference value between preset frozen water flow and average flow of an analysis object and a required duration corresponding to the preset frozen water flow, and comparing the difference value with a flow difference threshold and a duration threshold respectively:
if the difference value between the preset chilled water flow and the average flow of the analysis object exceeds a flow difference value threshold value, or the required duration corresponding to the preset chilled water flow exceeds a duration threshold value, judging that the real-time running load intensity of the current analysis object is high, generating a high-intensity load signal and sending the high-intensity load signal to a server;
if the difference value between the preset chilled water flow and the average flow of the analysis object does not exceed the flow difference value threshold value and the required duration corresponding to the preset chilled water flow does not exceed the duration threshold value, judging that the real-time running load intensity of the current analysis object is low, generating a low-intensity load signal and sending the low-intensity load signal to the server.
As a preferred embodiment of the invention, the operation control analysis unit operates as follows:
the method comprises the steps of collecting the interval duration between the temperature control time and the environment temperature reduction time of an analysis object and the number of floating times of a corresponding environment temperature value, and comparing the interval duration threshold and the floating times threshold respectively:
if the interval time between the temperature control time and the environment temperature reduction time of the analysis object exceeds an interval time threshold or the number of times of floating of the corresponding environment temperature value exceeds a floating number threshold, judging that the operation control analysis of the corresponding analysis object is abnormal, generating an operation control abnormal signal and sending the operation control abnormal signal to a server;
if the interval duration of the temperature control time and the environment temperature reduction time of the analysis object does not exceed the interval duration threshold and the number of times of floating of the corresponding environment temperature value does not exceed the floating number threshold, judging that the operation control analysis of the corresponding analysis object is normal, generating an operation control normal signal and sending the operation control normal signal to the server.
As a preferred embodiment of the present invention, the operation process using the scene analysis unit is as follows:
collecting the maximum temperature difference between the inside and the outside of the current space of the analysis object, the reduction speed of the humidity in the environment of the current space and the ventilation time of the current space before the use of the analysis object; obtaining a use scene analysis coefficient of an analysis object through analysis;
comparing the usage scenario analysis coefficients of the analysis object with usage scenario analysis coefficient thresholds:
if the usage scenario analysis coefficient of the analysis object exceeds the usage scenario analysis coefficient threshold, judging that the usage scenario analysis of the analysis object is abnormal, generating a usage risk signal and sending the usage risk signal to a server, and after receiving the usage risk signal, the server reduces the load of the corresponding analysis object and performs shutdown early warning; if the usage scenario analysis coefficient of the analysis object does not exceed the usage scenario analysis coefficient threshold, judging that the usage scenario analysis of the analysis object is normal, generating a usage safety signal and sending the usage safety signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the performance analysis is carried out on the used air-conditioning refrigeration equipment, and whether the performance of the air-conditioning refrigeration equipment at the current position is qualified is judged, so that whether the air-conditioning refrigeration equipment can meet the requirement of the current position is analyzed, the performance of the air-conditioning refrigeration equipment is accurately analyzed, and the air-conditioning refrigeration equipment is timely regulated according to the equipment with the performance which does not meet the requirement, thereby being beneficial to improving the working efficiency of the air-conditioning refrigeration equipment; real-time load analysis is carried out on the corresponding analysis object, whether the real-time load is normal or not is judged, so that the real-time operation of the analysis object is monitored, the operation of the analysis object is regulated in real time, and the reduction of the operation efficiency of the analysis object caused by the abnormal real-time load is prevented;
2. in the invention, whether the operation control of the analysis object is normal is judged, so that the operation efficiency of the analysis object is ensured, and meanwhile, the operation control can be timely adjusted when the operation control is abnormal, so that the work efficiency of the analysis object is prevented from being influenced due to the increase of the influence of the operation control abnormality, and the use quality of the analysis object is reduced; the real-time use of the corresponding analysis object is analyzed, the use safety of the current area is judged, the phenomenon that the air conditioner disease occurs to indoor personnel due to overlong air conditioner running time is prevented, and the use rationality of the analysis object is improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a schematic block diagram of an intelligent regulation system for a commercial air conditioning and refrigeration unit according to the present invention.
Description of the embodiments
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.
Referring to fig. 1, an intelligent regulation system for a commercial air conditioner refrigeration device comprises a server, wherein the server is in communication connection with a usage scenario analysis unit, a device load analysis unit, an operation control analysis unit and a device performance analysis unit, and the server is in bidirectional communication connection with the usage scenario analysis unit, the device load analysis unit, the operation control analysis unit and the device performance analysis unit;
the server generates an equipment performance analysis signal and sends the equipment performance analysis signal to the equipment performance analysis unit, and after receiving the equipment performance analysis signal, the equipment performance analysis unit performs performance analysis on the used air-conditioning refrigeration equipment to judge whether the performance of the air-conditioning refrigeration equipment at the current position is qualified or not, so that whether the air-conditioning refrigeration equipment can meet the requirement of the current position is analyzed, the performance of the air-conditioning refrigeration equipment is accurately analyzed, and timely adjustment is performed according to equipment with performance which does not meet the requirement, thereby being beneficial to improving the working efficiency of the air-conditioning refrigeration equipment;
marking air conditioner refrigeration equipment as an analysis object, setting a reference number i as a natural number larger than 1, acquiring the ratio of the rated cooling space volume of the analysis object to the space volume of the real-time position, and marking the ratio of the rated cooling space volume of the analysis object to the space volume of the real-time position as TJBI; acquiring a difference value corresponding to the maximum temperature difference between the maximum temperature reduction value in the unit time of the analysis object and the unit time corresponding to the real-time position, and marking the difference value corresponding to the maximum temperature difference between the maximum temperature reduction value in the unit time of the analysis object and the unit time corresponding to the real-time position as WDCi; the unit time represents a cooling time threshold value set for the air-conditioning refrigeration equipment;
by the formulaObtaining a device performance analysis coefficient Xi of an analysis object, wherein a1 and a2 are preset proportionality coefficients, and a1 is more than a2 is more than 0;
comparing the device performance analysis coefficient Xi of the analysis object with a device performance analysis coefficient threshold range:
if the equipment performance analysis coefficient Xi of the analysis object exceeds the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object meets the current position requirement, and if the matching of the analysis object is unqualified, generating a low-efficiency matching signal and sending the low-efficiency matching signal to a server;
if the equipment performance analysis coefficient Xi of the analysis object is in the equipment performance analysis coefficient threshold range, judging that the performance of the corresponding analysis object meets the current position requirement, and the analysis object is matched and qualified, generating a high-efficiency matching signal and transmitting the high-efficiency matching signal to a server;
if the equipment performance analysis coefficient Xi of the analysis object does not exceed the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object does not meet the current position requirement, and the analysis object is matched and qualified, generating an abnormal matching signal and sending the abnormal matching signal to a server;
after receiving the low-efficiency matching signal and the abnormal matching signal, the server performs position re-matching on the corresponding analysis objects, sets proper analysis objects at all positions, and controls the running cost of the analysis objects when meeting the requirements;
after receiving the high-efficiency matching signal, the server generates an equipment load analysis signal and sends the equipment load analysis signal to the equipment load analysis unit, and after receiving the equipment load analysis signal, the equipment load analysis unit carries out real-time load analysis on a corresponding analysis object and judges whether the real-time load is normal or not, so that the real-time operation of the analysis object is monitored, the operation of the analysis object is regulated in real time, and the reduction of the operation efficiency of the analysis object caused by the abnormal real-time load is prevented;
collecting a difference value between a target temperature set by a current analysis object and a current environment temperature, and marking the difference value between the target temperature set by the current analysis object and the current environment temperature as a preset reduced temperature value; acquiring the flow of the chilled water required by the analysis object to reduce the threshold temperature, and acquiring the preset flow of the chilled water of the analysis object through the flow of the chilled water required by the analysis object to reduce the threshold temperature and the preset reduced temperature value;
collecting a difference value between the preset chilled water flow and the average flow of the analysis object and a required duration corresponding to the preset chilled water flow, and comparing the difference value between the preset chilled water flow and the average flow of the analysis object and the required duration corresponding to the preset chilled water flow with a flow difference value threshold and a duration threshold respectively:
if the difference value between the preset chilled water flow and the average flow of the analysis object exceeds a flow difference value threshold, or the duration of the demand corresponding to the preset chilled water flow exceeds a duration threshold, judging that the real-time operation load intensity of the current analysis object is high, generating a high-intensity load signal, sending the high-intensity load signal to a server, after receiving the high-intensity load signal, controlling the operation duration corresponding to the analysis object and monitoring the temperature reduction amount of the operation duration, and if the reduction speed floating value of the temperature reduction amount exceeds a floating threshold, judging that the working efficiency of the analysis object is reduced and stopping maintenance is needed;
if the difference value between the preset chilled water flow and the average flow of the analysis object does not exceed the flow difference value threshold value and the required duration corresponding to the preset chilled water flow does not exceed the duration threshold value, judging that the real-time operation load intensity of the current analysis object is low, generating a low-intensity load signal and sending the low-intensity load signal to a server;
after receiving the low-intensity load signal, the server generates an operation control analysis signal and sends the operation control analysis signal to an operation control analysis unit, and after receiving the operation control analysis signal, the operation control analysis unit analyzes the operation control of the analysis object and judges whether the operation control of the analysis object is normal, so that the operation efficiency of the analysis object is ensured, and meanwhile, the operation efficiency of the analysis object can be timely regulated when the operation control is abnormal, so that the influence of the operation control abnormality is prevented from increasing to cause the influence on the working efficiency of the analysis object, and the use quality of the analysis object is reduced;
acquiring the interval duration of the temperature control time and the environment temperature reduction time of the analysis object and the number of times of floating of the corresponding environment temperature value, and comparing the interval duration of the temperature control time and the environment temperature reduction time of the analysis object and the number of times of floating of the corresponding environment temperature value with an interval duration threshold and a floating number threshold respectively:
if the interval time between the temperature control time of the analysis object and the environment temperature reduction time exceeds an interval time threshold, or the number of times of floating of the corresponding environment temperature value exceeds a floating number threshold, judging that the operation control analysis of the corresponding analysis object is abnormal, generating an operation control abnormal signal and sending the operation control abnormal signal to a server, and after receiving the operation control abnormal signal, the server adjusts the load of the corresponding analysis object in real time, so that the cooling demand time is ensured to be within the threshold time range, temperature floating does not occur during cooling, and the temperature floating is represented as a phenomenon of temperature rising in the process of reducing the temperature to the temperature threshold;
if the interval duration of the temperature control time and the environment temperature reduction time of the analysis object does not exceed the interval duration threshold and the number of times of floating of the corresponding environment temperature value does not exceed the floating number threshold, judging that the operation control analysis of the corresponding analysis object is normal, generating an operation control normal signal and sending the operation control normal signal to a server;
after receiving the normal operation control signal, the server generates a usage scene analysis signal and sends the usage scene analysis signal to the usage scene analysis unit, and after receiving the usage scene analysis signal, the usage scene analysis unit analyzes the real-time use of the corresponding analysis object to judge the use safety of the current area, so that the phenomenon that the indoor personnel have air conditioner diseases due to overlong air conditioner operation time is prevented, and the use rationality of the analysis object is improved;
collecting the maximum temperature difference value inside and outside the current space of the analysis object and the reduction speed of the humidity in the current space environment, and marking the maximum temperature difference value inside and outside the current space of the analysis object and the reduction speed of the humidity in the current space environment as WCi and JDi respectively; collecting the ventilation time length of the current space before the use of the analysis object, and marking the ventilation time length of the current space before the use of the analysis object as TFi;
by the formulaObtaining a usage scene analysis coefficient Ci of an analysis object, wherein s1, s2 and s3 are preset proportionality coefficients, s1 is more than s2 is more than s3 is more than 0, beta is an error correction factor, and the value is 0.98;
comparing the usage scenario analysis coefficient Ci of the analysis object with a usage scenario analysis coefficient threshold value:
if the usage scenario analysis coefficient Ci of the analysis object exceeds the usage scenario analysis coefficient threshold value, judging that the usage scenario analysis of the analysis object is abnormal, generating a usage risk signal and sending the usage risk signal to a server, and after receiving the usage risk signal, the server reduces the load of the corresponding analysis object and performs shutdown early warning; if the usage scenario analysis coefficient Ci of the analysis object does not exceed the usage scenario analysis coefficient threshold value, judging that the usage scenario analysis of the analysis object is normal, generating a usage safety signal and sending the usage safety signal to the server.
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;
when the device is used, the device performance analysis unit is used for performing performance analysis on the air-conditioning refrigeration equipment which is put into use, judging whether the performance of the air-conditioning refrigeration equipment at the current position is qualified or not, marking the air-conditioning refrigeration equipment as an analysis object, obtaining the device performance analysis coefficient of the analysis object through analysis, comparing the device performance analysis coefficient to generate a low-efficiency matching signal and a high-efficiency matching signal, and sending the low-efficiency matching signal and the high-efficiency matching signal to a server; real-time load analysis is carried out on the corresponding analysis object through the equipment load analysis unit, whether the real-time load is normal or not is judged, so that the real-time operation of the analysis object is monitored, and a high-intensity load signal and a low-intensity load signal are generated through analysis and are sent to a server; analyzing the operation control of the analysis object through an operation control analysis unit, judging whether the operation control of the analysis object is normal or not, generating an operation control abnormal signal and an operation control normal signal through analysis, and sending the operation control abnormal signal and the operation control normal signal to a server; the real-time use of the corresponding analysis object is analyzed by using the scene analysis unit, the safety of the use of the current area is judged, the use scene analysis coefficient of the analysis object is generated by analysis, the use risk signal and the use safety signal are generated by using the scene analysis coefficient analysis, and the use risk signal and the use safety signal are sent to the server.
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 (1)
1. A intelligent regulation system for commercial air conditioner refrigeration plant, its characterized in that includes the server, and the server is connected with:
the device performance analysis unit is used for performing performance analysis on the used air-conditioning refrigeration device, judging whether the performance of the air-conditioning refrigeration device at the current position is qualified or not, marking the air-conditioning refrigeration device as an analysis object, obtaining a device performance analysis coefficient of the analysis object through analysis, comparing the device performance analysis coefficient to generate a low-efficiency matching signal and a high-efficiency matching signal, and sending the low-efficiency matching signal and the high-efficiency matching signal to the server;
the device load analysis unit is used for carrying out real-time load analysis on the corresponding analysis object, judging whether the real-time load is normal or not, monitoring the real-time operation of the analysis object, generating a high-intensity load signal and a low-intensity load signal through analysis, and sending the high-intensity load signal and the low-intensity load signal to the server;
the operation control analysis unit is used for analyzing the operation control of the analysis object, judging whether the operation control of the analysis object is normal, generating an operation control abnormal signal and an operation control normal signal through analysis, and sending the operation control abnormal signal and the operation control normal signal to the server;
the system comprises a use scene analysis unit, a server and a control unit, wherein the use scene analysis unit is used for analyzing the real-time use of a corresponding analysis object, judging the use safety of a current area, generating a use scene analysis coefficient of the analysis object through analysis, generating a use risk signal and a use safety signal through analysis of the use scene analysis coefficient, and sending the use risk signal and the use safety signal to the server;
the operation process of the device performance analysis unit is as follows:
acquiring the ratio of the rated cooling space volume of the analysis object to the space volume of the real-time position and the corresponding difference value of the maximum temperature reduction value in the unit time of the analysis object and the maximum temperature difference in the unit time corresponding to the real-time position, acquiring the equipment performance analysis coefficient of the analysis object through analysis, and comparing the equipment performance analysis coefficient of the analysis object with the threshold range of the equipment performance analysis coefficient:
if the equipment performance analysis coefficient of the analysis object exceeds the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object meets the current position requirement, and if the analysis object is unqualified in matching, generating a low-efficiency matching signal and sending the low-efficiency matching signal to a server; if the equipment performance analysis coefficient of the analysis object is in the equipment performance analysis coefficient threshold range, judging that the performance of the corresponding analysis object meets the current position requirement, and the analysis object is matched and qualified, generating a high-efficiency matching signal and transmitting the high-efficiency matching signal to a server; if the equipment performance analysis coefficient of the analysis object does not exceed the threshold range of the equipment performance analysis coefficient, judging that the performance of the corresponding analysis object does not meet the current position requirement, and if the analysis object is qualified in matching, generating an abnormal matching signal and sending the abnormal matching signal to a server;
the operation process of the equipment load analysis unit is as follows:
collecting a difference value between a target temperature set by a current analysis object and a current environment temperature, and marking the difference value as a preset reduced temperature value; acquiring the flow of the chilled water required by the analysis object to reduce the threshold temperature, and acquiring the preset flow of the chilled water of the analysis object through the flow of the chilled water required by the analysis object to reduce the threshold temperature and the preset reduced temperature value;
collecting a difference value between preset frozen water flow and average flow of an analysis object and a required duration corresponding to the preset frozen water flow, and comparing the difference value with a flow difference threshold and a duration threshold respectively:
if the difference value between the preset chilled water flow and the average flow of the analysis object exceeds a flow difference value threshold value, or the required duration corresponding to the preset chilled water flow exceeds a duration threshold value, judging that the real-time running load intensity of the current analysis object is high, generating a high-intensity load signal and sending the high-intensity load signal to a server;
if the difference value between the preset chilled water flow and the average flow of the analysis object does not exceed the flow difference value threshold value and the required duration corresponding to the preset chilled water flow does not exceed the duration threshold value, judging that the real-time operation load intensity of the current analysis object is low, generating a low-intensity load signal and sending the low-intensity load signal to a server;
the operation control analysis unit operates as follows:
the method comprises the steps of collecting the interval duration between the temperature control time and the environment temperature reduction time of an analysis object and the number of floating times of a corresponding environment temperature value, and comparing the interval duration threshold and the floating times threshold respectively:
if the interval time between the temperature control time and the environment temperature reduction time of the analysis object exceeds an interval time threshold or the number of times of floating of the corresponding environment temperature value exceeds a floating number threshold, judging that the operation control analysis of the corresponding analysis object is abnormal, generating an operation control abnormal signal and sending the operation control abnormal signal to a server;
if the interval duration of the temperature control time and the environment temperature reduction time of the analysis object does not exceed the interval duration threshold and the number of times of floating of the corresponding environment temperature value does not exceed the floating number threshold, judging that the operation control analysis of the corresponding analysis object is normal, generating an operation control normal signal and sending the operation control normal signal to a server;
the operation process using the scene analysis unit is as follows:
collecting the maximum temperature difference between the inside and the outside of the current space of the analysis object, the reduction speed of the humidity in the environment of the current space and the ventilation time of the current space before the use of the analysis object; obtaining a use scene analysis coefficient of an analysis object through analysis;
comparing the usage scenario analysis coefficients of the analysis object with usage scenario analysis coefficient thresholds:
if the usage scenario analysis coefficient of the analysis object exceeds the usage scenario analysis coefficient threshold, judging that the usage scenario analysis of the analysis object is abnormal, generating a usage risk signal and sending the usage risk signal to a server, and after receiving the usage risk signal, the server reduces the load of the corresponding analysis object and performs shutdown early warning; if the usage scenario analysis coefficient of the analysis object does not exceed the usage scenario analysis coefficient threshold, judging that the usage scenario analysis of the analysis object is normal, generating a usage safety signal and sending the usage safety signal to the server.
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| CN107560082A (en) * | 2017-09-11 | 2018-01-09 | 珠海格力电器股份有限公司 | A kind of adaptive air conditioner and intelligent control method |
| CN115388522A (en) * | 2022-08-29 | 2022-11-25 | 中用科技有限公司 | Air conditioner energy consumption management and control system based on LORA technology |
| CN115899964A (en) * | 2022-12-22 | 2023-04-04 | 北京航天智造科技发展有限公司 | Multidimensional-based intelligent air conditioner monitoring method and system |
| CN116085956A (en) * | 2023-03-22 | 2023-05-09 | 华南理工大学 | Intelligent energy-saving allocation control system based on load frequency modulation technology |
| CN116576549A (en) * | 2023-07-13 | 2023-08-11 | 深圳市鸿明机电有限公司 | Central air conditioner air supply system based on fan technology |
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| CN107560082A (en) * | 2017-09-11 | 2018-01-09 | 珠海格力电器股份有限公司 | A kind of adaptive air conditioner and intelligent control method |
| CN115388522A (en) * | 2022-08-29 | 2022-11-25 | 中用科技有限公司 | Air conditioner energy consumption management and control system based on LORA technology |
| CN115899964A (en) * | 2022-12-22 | 2023-04-04 | 北京航天智造科技发展有限公司 | Multidimensional-based intelligent air conditioner monitoring method and system |
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