CN117091237A - Air conditioning equipment detection method and system for rail train - Google Patents
Air conditioning equipment detection method and system for rail train Download PDFInfo
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- CN117091237A CN117091237A CN202311214471.8A CN202311214471A CN117091237A CN 117091237 A CN117091237 A CN 117091237A CN 202311214471 A CN202311214471 A CN 202311214471A CN 117091237 A CN117091237 A CN 117091237A
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- 238000004378 air conditioning Methods 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 239000011159 matrix material Substances 0.000 claims abstract description 51
- 230000002159 abnormal effect Effects 0.000 claims abstract description 27
- 238000012795 verification Methods 0.000 claims abstract description 27
- 238000012216 screening Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims description 18
- 238000010606 normalization Methods 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 description 11
- 230000000737 periodic effect Effects 0.000 description 5
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T30/00—Transportation of goods or passengers via railways, e.g. energy recovery or reducing air resistance
Abstract
The invention discloses an air conditioning equipment detection method and system for a rail train, which belong to the technical field of air conditioning detection and specifically comprise the following steps: collecting operation parameters of all air conditioners in a train, and calculating a difference value between the operation parameters and corresponding rated values; marking the absolute value of the difference value as a verification index, establishing a forward matrix according to the verification indexes of all the air conditioners, converting the forward matrix into a standardized matrix, and calculating the running state scores of all the air conditioners based on the standardized matrix and Euclidean distance; sorting according to the running state scores from large to small, screening out m air conditioners to be detected, which are ranked in front, and checking and maintaining the air conditioners to be detected; counting the use time of all air conditioners, calculating the proportion of the operating state score to the use time, marking the proportion as a durable value, screening out abnormal air conditioners with the durable value larger than a set threshold value, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the abnormal air conditioners belong; the invention realizes the detection of the abnormal air conditioner.
Description
Technical Field
The invention relates to the technical field of air conditioner detection, in particular to an air conditioner detection method and system for a rail train.
Background
Rail trains are an important mass vehicle and are often equipped with an air conditioning system in order to ensure the comfort and safety of the passengers. These air conditioning systems play a critical role in train operation and therefore require periodic inspection and maintenance to ensure proper operation and performance stability.
Traditionally, air conditioning equipment detection on rail trains has typically relied on periodic inspection and maintenance plans, which presents some problems. First, periodic inspection may waste time and human resources, and may miss some potential problems, leading to equipment failure or performance degradation. Secondly, due to the change of the use environment and the running condition of the train, the traditional inspection method may not be capable of capturing the change trend of the equipment performance in time. And for some air conditioners which do not have faults yet, if abnormal conditions existing in the air conditioners can be found in time, the trouble caused by subsequent faults can be avoided by preventive inspection, and objective reasons for the abnormality are judged through analysis of the air conditioner states; therefore, there is a need to develop a more intelligent and automated method to monitor and evaluate air conditioning equipment on rail trains.
Disclosure of Invention
The invention aims to provide an air conditioning equipment detection method and system for a rail train, which solve the following technical problems:
first, periodic inspection may waste time and human resources, and may miss some potential problems, leading to equipment failure or performance degradation. Secondly, due to the change of the use environment and the running condition of the train, the traditional inspection method may not be capable of capturing the change trend of the equipment performance in time. And for some air conditioners which do not have faults yet, if the abnormal conditions of the air conditioners can be found in time, the trouble caused by the follow-up faults can be avoided by preventive inspection, and objective reasons for the abnormality can be judged through analysis of the air conditioner states.
The aim of the invention can be achieved by the following technical scheme:
an air conditioning equipment detection method for a rail train, comprising the steps of:
collecting operation parameters of all air conditioners in a train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference value between the wind speed, the temperature and the pressure and corresponding rated values;
marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
sorting the air conditioners according to the running state score ZF from large to small, screening out m air conditioners with the front sorting, wherein m is a positive integer, marking the air conditioners as air conditioners to be detected, and checking and maintaining the air conditioners to be detected;
counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the air conditioners belong.
As a further scheme of the invention: the specific process for calculating the durability value is as follows:
and the unit of the using time length T is year, the durable values du=ZF/T of all the air conditioners are calculated in sequence, the average value and the median of the durable values are obtained, the sum of the average value and the median is used as a set threshold value, and the durable values are screened.
As a further scheme of the invention: and if the air conditioner durable values larger than the set threshold value do not exist, sorting the durable values from large to small, acquiring air conditioners corresponding to k durable values in the front of the sorting, wherein k is a positive integer, and marking the air conditioners as abnormal air conditioners.
As a further scheme of the invention: the standardized matrix acquisition process comprises the following steps:
marking the j-th verification index of the i-th air conditioner as x ij Normalizing the forward matrix to normalize each element Z in the matrix Z ij Is in one-to-one correspondence with the verification indexes, and z ij And verification index x ij The relation of (2) is:thus, the normalization matrix is:
；
where n is the number of air conditioners.
As a further scheme of the invention: the Euclidean distance is:
defining the maximum value set in the standardized matrix as Z + ，Z + =（Z + 1 ，Z + 2 ，Z + 3 ），Z + Each element in (a) is the maximum value of the column of the element in the standardized matrix, namely Z + =(max{z 11 ，z 21 ，z n1 }，max{z 12 ，z 22 ，z n2 }，max{z 13 ，z 23 ，z n3 })；
Defining the minimum value set in the standardized matrix as Z - ，Z - =（Z - 1 ，Z - 2 ，Z - 3 ），Z - Each element in (a) is the minimum value of the column in which the element is located in the standardized matrix, namely Z - =(min{z 11 ，z 21 ，z n1 }，min{z 12 ，z 22 ，z n2 }，min{z 13 ，z 23 ，z n3 })；
Calculating standardized element and maximum value Z of ith air conditioner + Euclidean distance D of (2) i + And to a minimum value Z - Euclidean distance D of (2) i - And operate for air conditionerSequentially giving corresponding weights mu to the verification indexes of (a) i The calculation formula is:
，/>。
as a further scheme of the invention: the calculation process of the running state score comprises the following steps:
calculating initial score of operation state of ith air conditionerCalculating initial scores for normalization treatment, and then obtaining final running state scores of the ith air conditioner +.>。
As a further scheme of the invention: the collected wind speed parameter is the wind speed of an air outlet of the air conditioner, the collected temperature is the average temperature in a carriage, and the collected pressure is the pressure of an air valve of an external machine of the air conditioner.
An air conditioning equipment detection system for a rail train, comprising:
the data acquisition module is used for acquiring operation parameters of all air conditioners in the train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference between the wind speed, the temperature and the pressure and corresponding rated values;
the air conditioner evaluation module is used for marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
the overhaul judging module is used for sorting the air conditioners from large to small according to the running state score ZF, screening out m air conditioners with the front sorting, wherein m is a positive integer and marked as air conditioners to be inspected, and inspecting and maintaining the air conditioners to be inspected;
the abnormality judgment module is used for counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the abnormal air conditioners belong.
The invention has the beneficial effects that:
the invention can automatically collect the operation parameters of all air conditioners in the train, can monitor and evaluate the performance states of the air conditioning equipment in real time by calculating the verification indexes and the operation state scores, discover problems and abnormal conditions in time, introduces the concept of durable values, can intelligently screen out the air conditioning equipment with abnormal performance by comparing the scores and the service lives of the air conditioners, and can check the carriage problems or manufacturer problems possibly existing, thereby improving the detection efficiency and accuracy without depending on periodic manual inspection, and further reducing the manpower resource cost and inspection time.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of an air conditioning equipment detection method for a rail train according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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, the invention discloses a method and a system for detecting air conditioning equipment for a rail train, comprising the following steps:
collecting operation parameters of all air conditioners in a train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference value between the wind speed, the temperature and the pressure and corresponding rated values;
marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
sorting the air conditioners according to the running state score ZF from large to small, screening out m air conditioners with the front sorting, wherein m is a positive integer, marking the air conditioners as air conditioners to be detected, and checking and maintaining the air conditioners to be detected;
counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the air conditioners belong.
The larger the running state score and the durable value score in the invention, the worse the air conditioner, especially for the air conditioner with shorter service life, but the higher the score, possibly caused by the hardware problem of the air conditioner itself or the problem existing in the carriage line, so the abnormal air conditioners are found out for inspection by calculating the ratio of the running state score and the durable value.
In a preferred embodiment of the present invention, the specific process of calculating the endurance value is:
and the unit of the using time length T is year, the durable values du=ZF/T of all the air conditioners are calculated in sequence, the average value and the median of the durable values are obtained, the sum of the average value and the median is used as a set threshold value, and the durable values are screened.
In another preferred embodiment of the present invention, if there is no air conditioner durability value greater than the set threshold, the durability values are sorted from large to small, and the air conditioners corresponding to k durability values in the front of the sorting are obtained, where k is a positive integer and marked as abnormal air conditioners.
In another preferred embodiment of the present invention, the obtaining of the normalization matrix comprises:
marking the j-th verification index of the i-th air conditioner as x ij Normalizing the forward matrixAnd then normalize each element Z in matrix Z ij Is in one-to-one correspondence with the verification indexes, and z ij And verification index x ij The relation of (2) is:thus, the normalization matrix is:
；
where n is the number of air conditioners.
In a preferred case of the present embodiment, the euclidean distance is:
defining the maximum value set in the standardized matrix as Z + ，Z + =（Z + 1 ，Z + 2 ，Z + 3 ），Z + Each element in (a) is the maximum value of the column of the element in the standardized matrix, namely Z + =(max{z 11 ，z 21 ，z n1 }，max{z 12 ，z 22 ，z n2 }，max{z 13 ，z 23 ，z n3 })；
Defining the minimum value set in the standardized matrix as Z - ，Z - =（Z - 1 ，Z - 2 ，Z - 3 ），Z - Each element in (a) is the minimum value of the column in which the element is located in the standardized matrix, namely Z - =(min{z 11 ，z 21 ，z n1 }，min{z 12 ，z 22 ，z n2 }，min{z 13 ，z 23 ，z n3 })；
Calculating standardized element and maximum value Z of ith air conditioner + Euclidean distance D of (2) i + And to a minimum value Z - Euclidean distance D of (2) i - And sequentially endowing corresponding weights mu for verification indexes of air conditioner operation i The calculation formula is:
，/>。
in another preferred case of this embodiment, the calculation process of the running state score is:
calculating initial score of operation state of ith air conditionerCalculating initial scores for normalization treatment, and then obtaining final running state scores of the ith air conditioner +.>。
In another preferred embodiment of the invention, the collected wind speed parameter is the wind speed of an air outlet of the air conditioner, the collected temperature is the average temperature in a carriage, and the collected pressure is the pressure at an air valve of an external machine of the air conditioner.
An air conditioning equipment detection system for a rail train, comprising:
the data acquisition module is used for acquiring operation parameters of all air conditioners in the train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference between the wind speed, the temperature and the pressure and corresponding rated values;
the air conditioner evaluation module is used for marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
the overhaul judging module is used for sorting the air conditioners from large to small according to the running state score ZF, screening out m air conditioners with the front sorting, wherein m is a positive integer and marked as air conditioners to be inspected, and inspecting and maintaining the air conditioners to be inspected;
the abnormality judgment module is used for counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the abnormal air conditioners belong.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. An air conditioning equipment detection method for a rail train, characterized by comprising the following steps:
collecting operation parameters of all air conditioners in a train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference value between the wind speed, the temperature and the pressure and corresponding rated values;
marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
sorting the air conditioners according to the running state score ZF from large to small, screening out m air conditioners with the front sorting, wherein m is a positive integer, marking the air conditioners as air conditioners to be detected, and checking and maintaining the air conditioners to be detected;
counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the air conditioners belong.
2. The method for detecting an air conditioner for a rail train according to claim 1, wherein the specific process of calculating the durability value is:
and the unit of the using time length T is year, the durable values du=ZF/T of all the air conditioners are calculated in sequence, the average value and the median of the durable values are obtained, the sum of the average value and the median is used as a set threshold value, and the durable values are screened.
3. The method for detecting air conditioning equipment for a rail train according to claim 1, wherein if there is no air conditioning durability value greater than a set threshold value, sorting the durability values from large to small, and obtaining air conditioners corresponding to k durability values in the front of the sorting, where k is a positive integer, and is marked as an abnormal air conditioner.
4. The method for detecting an air conditioner for a rail train according to claim 1, wherein the process of obtaining the standardized matrix:
marking the j-th verification index of the i-th air conditioner as x ij Normalizing the forward matrix to normalize each element Z in the matrix Z ij Is in one-to-one correspondence with the verification indexes, and z ij And verification index x ij The relation of (2) is:thus, the normalization matrix is:
；
where n is the number of air conditioners.
5. The method for detecting an air conditioner for a rail train according to claim 4, wherein the euclidean distance is:
defining the maximum value set in the standardized matrix as Z + ，Z + =（Z + 1 ，Z + 2 ，Z + 3 ），Z + Each element in (a) is the maximum value of the column of the element in the standardized matrix, namely Z + =(max{z 11 ，z 21 ，z n1 }，max{z 12 ，z 22 ，z n2 }，max{z 13 ，z 23 ，z n3 })；
Defining the minimum value set in the standardized matrix as Z - ，Z - =（Z - 1 ，Z - 2 ，Z - 3 ），Z - Each element in (a) is the minimum value of the column in which the element is located in the standardized matrix, namely Z - =(min{z 11 ，z 21 ，z n1 }，min{z 12 ，z 22 ，z n2 }，min{z 13 ，z 23 ，z n3 })；
Calculating standardized element and maximum value Z of ith air conditioner + Euclidean distance D of (2) i + And to a minimum value Z - Euclidean distance D of (2) i - And sequentially endowing corresponding weights mu for verification indexes of air conditioner operation i The calculation formula is:
，/>。
6. the method for detecting an air conditioner for a rail train according to claim 5, wherein the calculation process of the running state score is:
calculating initial score of operation state of ith air conditionerCalculating initial scores for normalization treatment, and then obtaining final running state scores of the ith air conditioner +.>。
7. The method for detecting air conditioning equipment for a rail train according to claim 1, wherein the collected wind speed parameter is a wind speed of an air outlet of the air conditioner, the collected temperature is an average temperature in a carriage, and the collected pressure is a pressure at an air valve of an air conditioner external unit.
8. An air conditioning equipment detection system for a rail train, comprising:
the data acquisition module is used for acquiring operation parameters of all air conditioners in the train, wherein the operation parameters comprise wind speed, temperature and pressure, and calculating the difference between the wind speed, the temperature and the pressure and corresponding rated values;
the air conditioner evaluation module is used for marking the absolute value of the difference value as an air conditioner operation verification index, establishing a forward matrix according to all air conditioner verification indexes, converting the forward matrix into a standardized matrix, and calculating the operation state score ZF of each air conditioner based on the standardized matrix and Euclidean distance;
the overhaul judging module is used for sorting the air conditioners from large to small according to the running state score ZF, screening out m air conditioners with the front sorting, wherein m is a positive integer and marked as air conditioners to be inspected, and inspecting and maintaining the air conditioners to be inspected;
the abnormality judgment module is used for counting the using time length T of all air conditioners, calculating the proportion of the running state score ZF to the using time length T, marking the proportion as a durable value du, screening out the air conditioners with the durable value du being larger than a set threshold value, marking the air conditioners as abnormal air conditioners, checking the carriage where the abnormal air conditioners are located, and evaluating the brands to which the abnormal air conditioners belong.
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| CN202311214471.8A CN117091237A (en) | 2023-09-20 | 2023-09-20 | Air conditioning equipment detection method and system for rail train |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117294529A (en) * | 2023-11-24 | 2023-12-26 | 成都安美勤信息技术股份有限公司 | Abnormal login detection method and system for intelligent medical platform |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117294529A (en) * | 2023-11-24 | 2023-12-26 | 成都安美勤信息技术股份有限公司 | Abnormal login detection method and system for intelligent medical platform |
| CN117294529B (en) * | 2023-11-24 | 2024-01-30 | 成都安美勤信息技术股份有限公司 | Abnormal login detection method and system for intelligent medical platform |
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