CN111680057A - Intelligent control method for thermal parameter laboratory - Google Patents
Intelligent control method for thermal parameter laboratory Download PDFInfo
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- CN111680057A CN111680057A CN202010543394.0A CN202010543394A CN111680057A CN 111680057 A CN111680057 A CN 111680057A CN 202010543394 A CN202010543394 A CN 202010543394A CN 111680057 A CN111680057 A CN 111680057A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
An intelligent control method for a thermal parameter laboratory comprises the following steps: establishing or updating a database; a new test was performed: inquiring a matching record from the database according to the test characteristic parameters, and calling the record if only one matching record exists in the database; if a plurality of matching records exist in the database, the record with the validity as the extreme value is called; acquiring state parameters of the laboratory equipment through the calling record, and controlling the corresponding laboratory equipment; establishing or updating the database comprises the following steps: testing the tested machine, judging that the test is successful, and acquiring the state parameters of the laboratory equipment; inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters; if the matching records exist in the database, updating the weights in the records so that the weights are positively correlated with the success times; if no matching record exists in the database, adding a new record, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weight; the validity is obtained from the weight.
Description
Technical Field
The disclosure relates to a laboratory intelligent control method in the field of thermal parameters.
Background
In the prior art, when thermal parameter tests are performed on equipment such as an air conditioner, a water heater, a refrigerator and a compressor, the thermal parameter tests are usually performed in a laboratory, and a tester manually controls the laboratory equipment according to experience, for example, selects equipment such as a fan, a heater and a cooler, judges the equipment and the quantity to be started, and adjusts the output quantity of the equipment. However, such a judgment based on personal experience has limited accuracy and requires a high experience from the tester, which is difficult to reproduce.
Taking a tested machine as an air conditioner as an example, if intelligent control is needed to be carried out on laboratory equipment, theoretically, mathematical modeling can be carried out according to the refrigerating capacity and the target working condition of the tested machine, the heat load and the humidity load in the laboratory can be automatically calculated through a mathematical model, corresponding equipment is automatically started to carry out heating and humidification according to the heat load and the humidity load, and the heating and humidification output quantity is automatically adjusted. However, in this method, mathematical modeling needs to be performed on each tested machine, and multiple tests need to be performed on the tested machine to obtain a large amount of test data for modeling, which results in huge cost. In addition, when laboratory equipment ages with the increase of service time, an originally established mathematical model generates deviation and completely fails after a certain time.
Disclosure of Invention
According to one aspect of the disclosure, an intelligent control method for a thermal parameter laboratory is provided, which comprises the following steps:
establishing or updating a database;
a new test was performed: inquiring a matching record from the database according to the test characteristic parameters, and calling the record if only one matching record exists in the database; if a plurality of matching records exist in the database, the record with the validity as the extreme value is called; if the matching record does not exist in the database, the intelligent control is quitted;
acquiring state parameters of the laboratory equipment through the calling record, inputting the state parameters into a laboratory control system, and controlling the corresponding laboratory equipment;
establishing or updating the database comprises the following steps:
testing the tested machine, judging that the test is successful after the tested machine reaches and stabilizes at the target working condition, acquiring the state parameters of the laboratory equipment, and carrying out the next step;
inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters, and searching matched records; if the matching records exist in the database, updating the weights in the records so that the weights are positively correlated with the success times; if no matching record exists in the database, adding a new record, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weight;
wherein the validity is obtained according to the weight.
The thermodynamic parameter laboratory intelligent control method of the invention records and updates cases successful in test, and endows corresponding weight or updates the weight according to the success times, when a new test is carried out, records with effectiveness degree as an extreme value are adopted, the effectiveness degree is obtained according to the weight, and the laboratory equipment state parameters in the records are input into a laboratory control system, thereby realizing the intelligent control of the corresponding laboratory equipment. The method does not need to carry out mathematical modeling on each tested machine, can be widely applied to various tested machines, and has low consumption cost. In addition, when the laboratory equipment ages along with the increase of the service time, the successful case which is more suitable for the change of the equipment has higher matching success rate through the change of the weight, so that the optimal scheme corresponding to the change condition of the current laboratory equipment is automatically selected, and the failure problem caused by the aging of the equipment is avoided.
In some embodiments, the effectiveness is positively correlated with the weight; in the step of carrying out the new test, if a plurality of matching records exist in the database, the record with the maximum validity is called.
In some embodiments, the test characteristic parameters include target operating conditions and capability parameters of the machine under test.
In some embodiments of the present invention, the substrate is,
the method for updating the weight comprises the following steps: z ═ Z + Δ Z, where Z is the weight and Δ Z is the weight change;
the newly added record has the weight values as follows: z ═ Δ Z.
In some embodiments, the weight change Δ Z is inversely related to the power consumption for the test.
In some embodiments, Δ Z is 1/H, where H is the power consumption of the test.
In some embodiments, the capacity parameter of the tested machine is determined according to the rated capacity of the tested machine, a plurality of section ranges of the rated capacity are set, and the capacity parameter of the tested machine is obtained according to the median of the section ranges in which the rated capacity of the tested machine falls.
In some embodiments, the effectiveness is positively correlated with the weight and negatively correlated with the time interval between the current time and the last weight modification time; and when the step of adding or updating the record is executed, recording or updating the weight modification time.
In some embodiments of the present invention, the substrate is,
in the step of carrying out a new test, acquiring laboratory equipment state parameters through the calling record, inputting the laboratory equipment state parameters into a laboratory control system, and controlling corresponding laboratory equipment, wherein the laboratory equipment state parameters acquired through the calling record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters;
in the step of establishing or updating the database, when inquiring the record of the database according to the test characteristic parameters and the state parameters of the laboratory equipment, the state parameters of the laboratory equipment only comprise the switch state parameters of the laboratory equipment;
in the step of establishing or updating the database, when a new record is executed, the laboratory equipment state parameters in the new record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters.
In some embodiments of the present invention, the substrate is,
in the step of carrying out a new test, acquiring state parameters of the laboratory equipment through the calling record, inputting the state parameters into a laboratory control system, and controlling the corresponding laboratory equipment, wherein the state parameters of the laboratory equipment acquired through the calling record only comprise on-off state parameters of the laboratory equipment;
in the step of establishing or updating the database, when inquiring the record of the database according to the test characteristic parameters and the state parameters of the laboratory equipment, the state parameters of the laboratory equipment only comprise the switch state parameters of the laboratory equipment;
in the step of establishing or updating the database, when a new record is executed, the laboratory equipment state parameters in the new record only comprise the laboratory equipment switch state parameters.
Drawings
Fig. 1 is a flowchart of S2 of the thermal parameter laboratory intelligent control method according to some embodiments of the present disclosure;
fig. 2 is a flowchart of S1 of the thermal parameter laboratory intelligent control method according to some embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the attached drawing figures.
The intelligent control method for the thermal parameter laboratory is suitable for performing thermal parameter tests on household electrical appliances and other thermal products, and the tested machine can be an air conditioner, a water heater, a refrigerator, a compressor and other equipment. In the present embodiment, an air conditioner is described as an example.
The intelligent control method for the thermal parameter laboratory of some embodiments of the present disclosure comprises the following steps:
s1: a database is established or updated.
S2: a new experiment was performed, see fig. 1, comprising the following steps:
s21: inquiring a matching record from the database according to the test characteristic parameters, and calling the record if only one matching record exists in the database; if a plurality of matching records exist in the database, the record with the validity as the extreme value is called; and if the matching record does not exist in the database, exiting the intelligent control.
The test characteristic parameters can comprise the type of the tested machine, the target working condition and the capability parameters of the tested machine. The tested machine types can be classified into air conditioner, hot water machine, refrigerator, compressor and other equipment types. If the laboratory is set up to test only one device, the type of the device to be tested may not be set up.
S22: and acquiring the state parameters of the laboratory equipment through the calling records, and inputting the state parameters into a laboratory control system to control the corresponding laboratory equipment.
Taking the tested machine as an air conditioner as an example, the target working condition includes temperature, which may specifically include dry bulb temperature and wet bulb temperature of an environment where an outdoor unit is located, dry bulb temperature and wet bulb temperature of an environment where an indoor unit is located, and a working mode, which is cooling or heating. When testing other tested machines, the target working condition can comprise thermal parameters such as temperature, pressure and flow.
The capability parameter Q of the test machine is related to the rated capability of the test machine and characterizes the test load. The capacity parameter of the tested machine can be determined according to the rated capacity of the tested machine in a segmented mode, a plurality of interval ranges of the rated capacity are set, and the median of the interval range in which the rated capacity of the tested machine falls is used as the capacity parameter of the tested machine. For example, according to the possible size of the rated cooling capacity of the tested machine, the following interval ranges and corresponding median M are set by taking 100W as the interval size:
(0,50)，M＝25；
[50,150)，M＝100；
[150,250)，M＝200；
……
[2850,2950)，M＝2900；
[2950,3050)，M＝3000；
[3050,3150)，M＝3100；
……
if the rated cooling capacity of the tested machine is 3010, the cooling capacity falls into the section [2950,3050 ], the median M is 3000, and the capacity parameter of the tested machine is obtained according to 3000. The capability parameter of the tested machine may be directly set to 3000, or may be simplified, for example, the capability parameter Q of the tested machine is set to M/100 or 3000/100 or 30. The sectional and partitioned processing mode of the rated capacity of the tested machine is convenient for identifying the approximate capacity of the tested machine, neglects small difference, improves the universality of a specific control scheme, and can simplify the processing amount in actual operation.
When performing S22, the laboratory device status parameters may include the laboratory device switch status parameters and the laboratory device operating status parameters, or may include only the laboratory device switch status parameters. The laboratory equipment may include a fan, a heater, a pre-heater, a humidifier, a cooler, an expansion valve of the cooler, a switching solenoid valve, and the like, the laboratory equipment on-off state parameter refers to whether the laboratory equipment is in an on-off state, and the laboratory equipment operating state parameter refers to an adjustable output quantity or a control quantity of the laboratory equipment, such as a heating quantity of the heater, a cooling quantity of the cooler, an opening degree of the valve, and the like.
The effectiveness degree is obtained by the weight, and for example, the effectiveness degree may be obtained by directly using the weight itself or by performing calculation based on the weight, and in this case, the effectiveness degree is related to the weight. In the present embodiment, when the validity is set to be positively correlated with the weight, in the new test step, if there are a plurality of matching records in the database, the record with the highest validity is retrieved. In other embodiments, the validity may be set to be inversely related to the weight, and in the step of performing the new test, if there are a plurality of matching records in the database, the record with the smallest validity is retrieved.
Referring to fig. 2, the step of creating or updating the database S1 includes the following steps:
s11: and (3) testing the tested machine in a laboratory, judging that the test is successful after the tested machine reaches and stabilizes at the target working condition, acquiring the state parameters of the laboratory equipment, and carrying out the next step.
S12: and inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters, and searching matched records.
When the step is executed, in order to improve the universality, the laboratory equipment state parameters only include the laboratory equipment switch state parameters, but not include the laboratory equipment working state parameters, that is, the laboratory equipment switch state parameters are regarded as corresponding records as long as the laboratory equipment switch state parameters are the same. In other embodiments, when the step is executed, the laboratory device state parameters may also include laboratory device switch state parameters and laboratory device operating state parameters, that is, the laboratory device switch state parameters and the laboratory device operating state parameters are respectively identical and are regarded as corresponding records.
If the matching records exist in the database, the weights in the records are updated, and the weights are increased, so that the weights are positively correlated with the success times, namely the more the success times are, the higher the matching success rate of the records is. For example, each time the trial was successful, i.e., the number of successes increased by 1, the value of the weight was increased. The method for updating the weight may be: z ═ Z + Δ Z, where Z is the weight and Δ Z is the weight change. The weight variation can be made to be inversely related to the power consumption of the test, so that the matching success rate is lower for the case with higher power consumption. For example, Δ Z is 1/H, where H is the power consumption of the test.
And if no matching record exists in the database, adding a new record, wherein the new record comprises the test characteristic parameters, the laboratory equipment state parameters and the weight. The laboratory equipment state parameters to be recorded comprise laboratory equipment switch state parameters and laboratory equipment working state parameters. The newly added record has the weight values as follows: z ═ Δ Z. Δ Z may be made 1/H, where H is the power consumption of the test.
The present embodiment will be described below by taking a laboratory in which a test apparatus is an air conditioner and 16 devices are installed as an example.
S1: establishing or updating a database, comprising the steps of:
s11: and (3) testing the tested machine in a laboratory, judging that the test is successful after the tested machine reaches and stabilizes at the target working condition, acquiring the state parameters of the laboratory equipment, and carrying out the next step. If the test is unsuccessful, the database is not updated.
When the temperature measured in the laboratory reaches and stabilizes at the temperature required by the target working condition, the test is judged to be successful. The working condition stabilization time can be set to 35min, namely when the temperature measured in a laboratory is stabilized for more than 35min under the temperature of the target working condition, the success of the test can be judged.
The state parameters of the laboratory device at this time are acquired. The switching state parameters of the laboratory equipment can be obtained by reading soft switching information of a PLC in a laboratory control system, and assuming that the current soft switching sequence is 1101010011010100, the current soft switching sequence is converted into 16-system codes which are D4D 4. The laboratory equipment operating state parameter can be obtained by reading the output values of the equipment control instruments, and assuming 4 control instruments, the output values are {50,30,20,75 }.
S12: and inquiring the database record according to the target working condition, the capability parameter of the tested machine and the state parameter of the laboratory equipment.
Specifically, codes can be written for the target operating conditions, as shown in table 1 below.
TABLE 1 target Condition code sheet
Assuming the target conditions are: the dry bulb temperature and the wet bulb temperature of the environment where the indoor unit is located are 27/19, the dry bulb temperature and the wet bulb temperature of the environment where the outdoor unit is located are 35/24, the working mode is 0, and the working condition code 1001 is obtained according to the table 1.
According to the capability parameter of the tested machine, in the embodiment, a rated capability parameter, for example, a rated cooling capacity in the name plate of the tested machine is adopted, 3000W is assumed, 3000W is judged to fall into the section [2950,3050 ] by the section-by-section method, the median M is taken to be 3000, and the tested machine capability parameter Q is taken to be M/100, 3000/100 and 30.
And looking up a database and searching a matched record according to the target working condition code, the tested machine capability parameter and the switch state parameter of the laboratory equipment. The database records are shown in table 2 below.
TABLE 2 database records
At this time, a matching record 2 exists in the database, and the record 2 is updated. Assuming that the power consumption amount in this test is 25kWh, the weight in the original record 2 is updated to 25.36 according to the formula Z + Δ Z, Δ Z being 1/H, and the new weight Z being 25.32+1/25 being 25.36.
And if the matching record 2 does not exist in the database, adding a new record. The newly added records comprise target working conditions, capability parameters of the tested machine, state parameters and weights of the laboratory equipment. The laboratory equipment state parameters in the newly added record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters. The weight value of the newly added record is Z ═ Δ Z ═ 1/25 ═ 0.04. The new records are shown in table 3 below.
TABLE 3 newly added records
S2: a new experiment was performed comprising the steps of:
s21: inquiring a matching record from a database according to the target working condition and the capability parameter of the tested machine, and calling the record if only one matching record exists in the database; and if a plurality of matching records exist in the database, calling the record with the maximum validity.
Assuming that a new test adopts a target working condition 1001 and the rated refrigerating capacity of the tested machine is 3000W, corresponding records 2 and 3 can be obtained by referring to a table 2, and the effectiveness of the two records is compared. In the present embodiment, the validity degree is directly weighted, that is, the validity degree V is equal to Z, and it is known that the validity degree of record 2 is higher, and therefore, the record 2 is called.
S22: and acquiring the state parameters of the laboratory equipment through the calling records, and inputting the state parameters into a laboratory control system to control the corresponding laboratory equipment.
The laboratory equipment switch state parameter D4D 4 in record 2 was converted to a soft switching sequence of 1101010011010100, i.e., the switch states of equipment nos. 0-15 were in turn 1101010011010100, which was written into the PLC, thereby controlling the switch states of the equipment. The laboratory equipment operating state parameters {50,20,65,30} in record 2 are input into the control instrumentation of the equipment, thereby controlling the operating state of the equipment.
In other embodiments, the validity is not directly equivalent to the weight, but is positively correlated with the weight, negatively correlated with the time interval between the current time and the last weight modification time, such that the more recent success in timeCase, the higher the matching success rate. Specifically, the effectiveness degree V ═ Z/(T)1-T0) Wherein T is1Is the current time, is T0The last weight modification time. Accordingly, when the new recording or the recording updating step is performed, the weight modification time also needs to be recorded or updated.
The thermodynamic parameter laboratory intelligent control method of the invention records and updates cases successful in test, and endows corresponding weight or updates the weight according to the success times, when a new test is carried out, records with effectiveness degree as an extreme value are adopted, the effectiveness degree is obtained according to the weight, and the laboratory equipment state parameters in the records are input into a laboratory control system, thereby realizing the intelligent control of the corresponding laboratory equipment. The method does not need to carry out mathematical modeling on each tested machine, can be widely applied to various tested machines, and has low consumption cost. In addition, when the laboratory equipment ages along with the increase of the service time, the successful case which is more suitable for the change of the equipment has higher matching success rate through the change of the weight, so that the optimal scheme corresponding to the change condition of the current laboratory equipment is automatically selected, and the failure problem caused by the aging of the equipment is avoided.
What has been described above is merely some embodiments of the present disclosure. It will be apparent to those skilled in the art that various changes and modifications can be made, or combinations of the above-described embodiments can be made, without departing from the inventive concept of the present disclosure, and all such changes and modifications, including combinations of features of the various embodiments described above, are within the scope of the present disclosure.
Claims (10)
1. An intelligent control method for a thermal parameter laboratory is characterized by comprising the following steps:
establishing or updating a database;
a new test was performed: inquiring a matching record from the database according to the test characteristic parameters, and calling the record if only one matching record exists in the database; if a plurality of matching records exist in the database, the record with the validity as the extreme value is called; if the matching record does not exist in the database, the intelligent control is quitted;
acquiring state parameters of the laboratory equipment through the calling record, inputting the state parameters into a laboratory control system, and controlling the corresponding laboratory equipment;
the establishing or updating of the database comprises the steps of:
testing the tested machine, judging that the test is successful after the tested machine reaches and stabilizes at the target working condition, acquiring the state parameters of the laboratory equipment, and carrying out the next step;
inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters, and searching matched records; if the matching records exist in the database, updating the weights in the records so that the weights are positively correlated with the success times; if no matching record exists in the database, newly adding a record, wherein the newly added record comprises test characteristic parameters, laboratory equipment state parameters and weight;
wherein the validity is obtained according to a weight.
2. A thermal parameter laboratory intelligent control method as claimed in claim 1, wherein the validity degree is positively correlated with the weight; in the step of carrying out the new test, if a plurality of matching records exist in the database, the record with the maximum validity is called.
3. A thermal parameter laboratory intelligent control method as claimed in claim 1, wherein the test characteristic parameters comprise target working conditions and capability parameters of a tested machine.
4. The intelligent control method for thermal parameter laboratory according to claim 2,
the method for updating the weight comprises the following steps: z ═ Z + Δ Z, where Z is the weight and Δ Z is the weight change;
the newly added record has the weight values as follows: z ═ Δ Z.
5. A method as claimed in claim 4, wherein the weight change Δ Z is inversely related to the power consumption of the test.
6. A thermal parameter laboratory intelligent control method as claimed in claim 5, wherein Δ Z is 1/H, where H is the power consumption of the test.
7. A laboratory intelligent control method for thermal parameters according to claim 1, wherein the capacity parameters of the tested machine are determined according to the rated capacity of the tested machine, a plurality of interval ranges of the rated capacity are set, and the capacity parameters of the tested machine are obtained according to the median of the interval range in which the rated capacity of the tested machine falls.
8. A method as claimed in claim 2, wherein the validity is directly related to the weight and inversely related to the time interval between the current time and the last time of weight modification; and when the step of adding or updating the record is executed, recording or updating the weight modification time.
9. A thermal parameter laboratory intelligent control method as defined in any one of claims 1 to 8,
in the step of carrying out the new test, acquiring laboratory equipment state parameters through the calling record, inputting the laboratory equipment state parameters into a laboratory control system, and controlling corresponding laboratory equipment, wherein the laboratory equipment state parameters acquired through the calling record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters;
in the step of establishing or updating the database, when inquiring the record of the database according to the test characteristic parameters and the state parameters of the laboratory equipment, the state parameters of the laboratory equipment only comprise the on-off state parameters of the laboratory equipment;
in the step of establishing or updating the database, when a new record is executed, the laboratory equipment state parameters in the new record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters.
10. A thermal parameter laboratory intelligent control method as defined in any one of claims 1 to 8,
in the step of carrying out the new test, acquiring the state parameters of the laboratory equipment through the calling record, inputting the state parameters into a laboratory control system, and controlling the corresponding laboratory equipment, wherein the state parameters of the laboratory equipment acquired through the calling record only comprise the on-off state parameters of the laboratory equipment;
in the step of establishing or updating the database, when inquiring the record of the database according to the test characteristic parameters and the state parameters of the laboratory equipment, the state parameters of the laboratory equipment only comprise the on-off state parameters of the laboratory equipment;
in the step of establishing or updating the database, when a new record is executed, the laboratory equipment state parameters in the new record only include laboratory equipment switch state parameters.
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| CN107525243A (en) * | 2017-08-10 | 2017-12-29 | 珠海格力电器股份有限公司 | The control system and method for air-conditioner temperature |
| CN108052010A (en) * | 2017-12-04 | 2018-05-18 | 海尔优家智能科技（北京）有限公司 | Intelligent electric appliance method for self regulating, device, computer equipment and storage medium |
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| WO2008006293A1 (en) * | 2006-07-03 | 2008-01-17 | Gree Electric Appliances Inc. Of Zhuhai | An approach and device for testing an air-condition |
| US20100185694A1 (en) * | 2009-01-22 | 2010-07-22 | Shady Copty | Query-Based Generation of Data Records |
| CN106844908A (en) * | 2017-01-04 | 2017-06-13 | 东南大学 | A kind of power station equipment adaptive modeling method based on Sample Similarity weighting |
| CN107525243A (en) * | 2017-08-10 | 2017-12-29 | 珠海格力电器股份有限公司 | The control system and method for air-conditioner temperature |
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