CN111680057B - Intelligent control method for thermal parameter laboratory - Google Patents
Intelligent control method for thermal parameter laboratory Download PDFInfo
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- CN111680057B CN111680057B CN202010543394.0A CN202010543394A CN111680057B CN 111680057 B CN111680057 B CN 111680057B CN 202010543394 A CN202010543394 A CN 202010543394A CN 111680057 B CN111680057 B CN 111680057B
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- 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 the matching record from the database according to the test characteristic parameters, and if only one matching record exists in the database, calling the record; if a plurality of matching records exist in the database, calling the record with the validity as the extremum; acquiring laboratory equipment state parameters by retrieving records, and controlling corresponding laboratory equipment; establishing or updating the database comprises the steps of: testing the tested machine, judging that the test is successful, and acquiring the state parameters of laboratory equipment; inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters; if the matching record exists in the database, updating the weight in the record so that the weight is positively correlated with the success times; if the database does not have the matching record, the record is added, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weights; the validity is obtained from the weights.
Description
Technical Field
The disclosure relates to a laboratory intelligent control method in the field of thermal parameters.
Background
In the prior art, when performing thermal parameter tests on equipment such as an air conditioner, a water heater, a refrigerator, a compressor and the like, the thermal parameter tests are usually performed in a laboratory, laboratory equipment is manually controlled by a tester according to experience, for example, equipment such as a fan, a heater, a chiller and the like is selected, equipment and quantity required to be started are judged, and the output quantity of the equipment is regulated. However, such a judgment based on personal experience has limited accuracy and requires a high level of experience from the experimenter, which is difficult to replicate.
Taking a tested machine as an air conditioner as an example, if intelligent control is needed to be carried out on laboratory equipment, mathematical modeling can be carried out according to the refrigerating capacity and target working condition of the tested machine in theory, the thermal load and the wet load in a laboratory can be automatically calculated through the mathematical model, corresponding equipment is automatically started to heat and humidify according to the thermal load and the wet load, and the output quantity of heating and humidification is automatically adjusted. However, the method needs to carry out mathematical modeling on each tested machine, and needs to carry out multiple tests on each tested machine to obtain a large amount of test data for modeling, so that the cost is huge. In addition, when laboratory equipment ages with the increase of service time, the originally established mathematical model can deviate and thoroughly fail after a certain time.
Disclosure of Invention
According to one aspect of the present disclosure, there is provided a thermal parameter laboratory intelligent control method, comprising the steps of:
establishing or updating a database;
a new test was performed: inquiring the matching record from the database according to the test characteristic parameters, and if only one matching record exists in the database, calling the record; if a plurality of matching records exist in the database, calling the record with the validity as the extremum; if the matching record does not exist in the database, the intelligent control is exited;
acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and controlling corresponding laboratory equipment;
establishing or updating the database comprises the steps of:
testing the tested machine, judging that the test is successful after the tested machine reaches and is stabilized at a target working condition, acquiring the state parameters of 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 record exists in the database, updating the weight in the record so that the weight is positively correlated with the success times; if the database does not have the matching record, the record is added, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weights;
wherein the validity is obtained from the weights.
According to the thermal parameter laboratory intelligent control method, the cases of successful tests are recorded and updated, corresponding weights are given according to the successful times of the cases or the weights are updated, when a new test is carried out, the record with the effectiveness as an extremum is adopted, the effectiveness is obtained according to the weights, and the laboratory equipment state parameters in the record are input into a laboratory control system, so that the intelligent control of corresponding laboratory equipment is realized. 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 cost. In addition, when laboratory equipment ages along with the increase of service time, a successful scheme more suitable for equipment change can have higher matching success rate through the change of weight, so that an optimal scheme corresponding to the change condition of the current laboratory equipment is automatically selected, and the failure problem caused by equipment aging is avoided.
In some embodiments, the significance is positively correlated with the weight; in the new test step, if a plurality of matching records exist in the database, the record with the largest effectiveness is called.
In some embodiments, the test characteristic parameters include target operating conditions and capability parameters of the test machine.
In some embodiments of the present invention, in some embodiments,
the method for updating the weight comprises the following steps: z=z+Δz, where Z is a weight and Δz is a weight variation;
the weight value of the newly added record is as follows: z=Δz.
In some embodiments, the weight change Δz is inversely related to the power consumption of the test.
In some embodiments, Δz=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 interval ranges of rated capacities are set, and the capacity parameter of the tested machine is obtained according to the median of the interval ranges within which the rated capacity of the tested machine falls.
In some embodiments, the validity is positively correlated with the weight, negatively correlated with the time interval between the current time and the last weight modification time; and when the newly added record or update record step is executed, recording or updating the weight modification time.
In some embodiments of the present invention, in some embodiments,
in the new test step, acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and when corresponding laboratory equipment is controlled, acquiring the laboratory equipment state parameters acquired by retrieving records, wherein the laboratory equipment state parameters comprise laboratory equipment on-off state parameters and laboratory equipment working state parameters;
in the step of establishing or updating the database, when inquiring the database record according to the test characteristic parameters and the laboratory equipment state parameters, the laboratory equipment state parameters only comprise the laboratory equipment switch state parameters;
in the step of establishing or updating the database, when the new record is executed, the laboratory equipment state parameters in the new record comprise the laboratory equipment on-off state parameters and the laboratory equipment working state parameters.
In some embodiments of the present invention, in some embodiments,
in the new test step, acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and when corresponding laboratory equipment is controlled, acquiring the laboratory equipment state parameters by retrieving records only comprises laboratory equipment switch state parameters;
in the step of establishing or updating the database, when inquiring the database record according to the test characteristic parameters and the laboratory equipment state parameters, the laboratory equipment state parameters only comprise the laboratory equipment switch state parameters;
in the step of creating or updating the database, when the 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 flow chart of S2 of a thermal parameter laboratory intelligent control method of some embodiments of the present disclosure;
fig. 2 is a flow chart of S1 of a 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 accompanying drawings.
The intelligent control method of the thermal parameter laboratory is suitable for thermal parameter tests of thermal products such as household appliances, and the tested machine can be an air conditioner, a water heater, a refrigerator, a compressor and the like. In this embodiment, an air conditioner will be described as an example.
A thermodynamic parameter laboratory intelligent control method of some embodiments of the present disclosure includes the steps of:
s1: a database is built or updated.
S2: a new test was performed, see fig. 1, comprising the steps of:
s21: inquiring the matching record from the database according to the test characteristic parameters, and if only one matching record exists in the database, calling the record; if a plurality of matching records exist in the database, calling the record with the validity as the extremum; and if the matching record does not exist in the database, the intelligent control is exited.
The test characteristic parameters may include the type of machine under test, the target operating conditions, and the capacity parameters of the machine under test. The tested machine types can be classified into air conditioner, water heater, refrigerator, compressor and other equipment types. If the laboratory is set up to test for only one type of equipment, the type of machine under test may not be set up.
S22: the laboratory equipment state parameters are obtained by retrieving the records and are input into a laboratory control system to control the corresponding laboratory equipment.
Taking the tested machine as an air conditioner for example, the target working conditions comprise temperatures, specifically, the dry bulb temperature and the wet bulb temperature of the environment where the outdoor machine is located, the dry bulb temperature and the wet bulb temperature of the environment where the indoor machine is located, and a working mode, wherein the working mode is refrigeration or heating. When testing other testers, the target working conditions may include thermal parameters such as temperature, pressure, flow, and the like.
The capacity parameter Q of the test machine is related to the rated capacity of the test machine and is characteristic of the test load. The capacity parameter of the tested machine can be determined in a segmented mode according to the rated capacity of the tested machine, a plurality of interval ranges of the rated capacity are set, and the median of the interval ranges of the rated capacity of the tested machine is taken as the capacity parameter of the tested machine. For example, according to the possible size of the rated cooling capacity of the tested machine, taking 100W as the interval size, the following interval ranges are set, and the corresponding median M:
(0,50)，M＝25；
[50,150)，M＝100；
[150,250)，M＝200；
……
[2850,2950)，M＝2900；
[2950,3050)，M＝3000；
[3050,3150)，M＝3100；
……
assuming that the rated cooling capacity of the test machine is 3010, the test machine falls into a section [2950,3050 ], the median m=3000 is taken, and the capacity parameter of the test machine is obtained according to 3000. The capability parameter of the tested machine can be directly valued 3000 or simplified, for example, the capability parameter q=m/100=3000/100=30 of the tested machine is made. The processing mode between the segments of the rated capacity of the tested machine is convenient for identifying the approximate capacity of the tested machine, ignoring smaller differences, improving the universality of a specific control scheme and simplifying the processing capacity in actual operation.
In executing S22, the laboratory device state parameters may include a laboratory device on-off state parameter and a laboratory device operating state parameter, or may include only a laboratory device on-off state parameter. Laboratory equipment may include fans, heaters, pre-heaters, humidifiers, chillers, expansion valves for chillers, switching solenoid valves, etc., laboratory equipment on-off state parameters refer to whether the laboratory equipment is in an on or off state, laboratory equipment operating state parameters refer to an adjustable output or control amount of the laboratory equipment, such as heating capacity of the heater, cooling capacity of the chiller, opening of the valve, etc.
The validity is obtained according to the weight, for example, the validity may be obtained directly by the weight itself or may be obtained by calculating based on the weight, and the validity is related to the weight. In this embodiment, when the validity is set to be positively correlated with the weight, in the new test step, if there are multiple matching records in the database, the record with the largest validity is called. 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 multiple matching records in the database, the record with the smallest validity is called.
Referring to fig. 2, the establishment or update of the database S1 includes the following steps:
s11: and testing the tested machine in a laboratory, judging that the test is successful after the tested machine reaches and is stabilized at a target working condition, and obtaining the state parameters of the laboratory equipment to carry out the next step.
S12: and inquiring a database according to the test characteristic parameters and the laboratory equipment state parameters, and searching for a matched record.
When the step is executed, in order to improve the universality, the state parameters of the laboratory equipment according to the step include only the state parameters of the switch of the laboratory equipment, and do not include the working state parameters of the laboratory equipment, namely, the corresponding records are regarded as long as the state parameters of the switch of the laboratory equipment are the same. In other embodiments, when the step is performed, the laboratory device state parameters according to the step may also include a laboratory device switch state parameter and a laboratory device operating state parameter, that is, the laboratory device switch state parameter and the laboratory device operating state parameter are required to be the same respectively and are regarded as corresponding records.
If the matching record exists in the database, the weight in the record is updated, and the weight is increased, so that the weight is positively correlated with the success times, namely, the more the success times are, the higher the matching success rate of the record is. For example, each time the test succeeds, i.e., the number of successes increases by 1, the value of the weight increases. The method for updating the weights can be as follows: z=z+Δz, where Z is the weight and Δz is the weight variation. The weight change can be inversely related to the power consumption of the test, so that the matching success rate is lower for the case of larger power consumption. Let Δz=1/H, for example, where H is the power consumption for this test.
If no matching record exists in the database, a record is added, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weights. The laboratory equipment state parameters to be recorded include laboratory equipment on-off state parameters and laboratory equipment operating state parameters. The weight value of the newly added record is as follows: z=Δz. Δz=1/H, where H is the power consumption for this test.
The present embodiment will be described below with respect to a laboratory provided with 16 devices using a test machine as an air conditioner.
S1: establishing or updating a database, comprising the steps of:
s11: and testing the tested machine in a laboratory, judging that the test is successful after the tested machine reaches and is stabilized at a target working condition, and obtaining the state parameters of the laboratory equipment to carry out the next step. And if the test is unsuccessful, the database is not updated.
When the temperature measured in the laboratory reaches and stabilizes at the temperature required for the target operating condition, the test is judged to be successful. The operating mode 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 a target operating mode, 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 the current soft switching sequence is 11010100 11010100 and is converted into a 16-system code D4D 4. The laboratory equipment operating state parameters can be obtained by reading the output values of the equipment control meters, assuming 4 control meters, the output values are {50,30,20,75}.
S12: and inquiring a database record according to the target working condition, the capacity parameter of the tested machine and the laboratory equipment state parameter.
Specifically, the code may be written for the target operating conditions, as shown in Table 1 below.
TABLE 1 target operating mode code table
The target conditions are assumed to be: the indoor unit is at an ambient dry bulb temperature and wet bulb temperature of 27/19, the outdoor unit is at an ambient dry bulb temperature and wet bulb temperature of 35/24, the working mode is 0, and the working condition code 1001 is obtained according to table 1.
According to the capacity parameter of the tested machine, in this embodiment, the rated capacity parameter, for example, rated refrigerating capacity, in the nameplate of the tested machine is assumed to be 3000W, and by the above-mentioned segmentation interval method, it is determined that 3000W falls into the interval [2950,3050), and the median m=3000 is taken, then the tested capacity parameter q=m/100=3000/100=30.
And according to the target working condition codes, the capacity parameters of the tested machine and the on-off state parameters of the laboratory equipment, referring to a database, and searching for a matched record. Database records are shown in table 2 below.
Table 2 database records
At this time, there is a matching record 2 in the database, and the record 2 is updated. Assuming that the power consumption of the test is 25kWh, the new weight z=25.32+1/25=25.36 is updated to 25.36 according to the formula z=z+Δz, Δz=1/H.
If the matching record 2 does not exist in the database, a record is added. The newly added record comprises target working conditions, capacity parameters of the tested machine, and laboratory equipment state parameters and weights. The laboratory equipment state parameters in the new record comprise laboratory equipment switch state parameters and laboratory equipment working state parameters. The weight of the newly added record takes the value of Z=deltaZ=1/25=0.04. The new record is shown in table 3 below.
TABLE 3 record of new additions
S2: a new test was performed comprising the steps of:
s21: inquiring a matching record from a database according to the target working condition and the capacity parameters of the tested machine, and if only one matching record exists in the database, calling the record; if a plurality of matching records exist in the database, the record with the largest effectiveness is called.
Assuming that the new test adopts a target working condition 1001, the rated refrigerating capacity of the tested machine is 3000W, the corresponding record 2 and record 3 can be obtained by referring to the table 2, and the effectiveness of the two records is compared. In this embodiment, the validity directly uses the weight itself, i.e. the validity v=z, and comparing it to know that the validity of the record 2 is higher, so that the record 2 is called.
S22: the laboratory equipment state parameters are obtained by retrieving the records and are input into a laboratory control system to control the corresponding laboratory equipment.
The laboratory equipment switching state parameter D4 in record 2 is converted into a soft switching sequence 11010100 11010100, i.e. the switching states of the 0-15 devices are 11010100 11010100 in sequence, and the soft switching sequence is written into the PLC, thereby controlling the switching states of the devices. The laboratory device operating state parameter 50,20,65,30 in record 2 is input into the control meter of the device, thereby controlling the operating state of the device.
In other embodiments, the validity is not directly equivalent to the weight, but is in a positive correlation with the weight, and is inversely correlated with the time interval between the current time and the last weight modification time, so that the closer in time the success case, the higher the matching success rate. Specifically, the validity v=z/(T) 1 -T 0 ) Wherein T is 1 For the current time, T 0 Last weight modification time. Accordingly, when the newly added recording or updating recording step is performed, the weight modification time also needs to be recorded or updated.
According to the thermal parameter laboratory intelligent control method, the cases of successful tests are recorded and updated, corresponding weights are given according to the successful times of the cases or the weights are updated, when a new test is carried out, the record with the effectiveness as an extremum is adopted, the effectiveness is obtained according to the weights, and the laboratory equipment state parameters in the record are input into a laboratory control system, so that the intelligent control of corresponding laboratory equipment is realized. 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 cost. In addition, when laboratory equipment ages along with the increase of service time, a successful scheme more suitable for equipment change can have higher matching success rate through the change of weight, so that an optimal scheme corresponding to the change condition of the current laboratory equipment is automatically selected, and the failure problem caused by equipment aging is avoided.
What has been described above is merely some of the embodiments of the present disclosure. It will be apparent to those skilled in the art that several modifications and improvements can be made to the present invention without departing from the spirit of the invention, or the above technical solutions can be freely combined, including the technical features of the different embodiments described above, which are all within the scope of the present invention.
Claims (6)
1. The intelligent control method for the thermal parameter laboratory is characterized by comprising the following steps of:
establishing or updating a database;
a new test was performed: inquiring a matching record from the database according to the test characteristic parameters, and if only one matching record exists in the database, calling the record; if a plurality of matching records exist in the database, calling the record with the validity as the extremum; if the matching record does not exist in the database, the intelligent control is exited;
acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and controlling corresponding laboratory equipment;
the 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 is stabilized at a target working condition, acquiring the state parameters of 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 record exists in the database, updating the weight in the record so that the weight is positively correlated with the success times; if no matching record exists in the database, a record is added, wherein the new record comprises test characteristic parameters, laboratory equipment state parameters and weights;
wherein the validity is obtained according to the weight;
the validity is positively correlated with the weight; in the new test step, if a plurality of matching records exist in the database, the record with the largest effectiveness is called;
the method for updating the weight comprises the following steps: z=z+Δz, where Z is a weight and Δz is a weight variation;
the weight value of the newly added record is as follows: z=Δz;
making the weight change delta Z inversely related to the power consumption of the test;
and the capacity parameters of the tested machine are determined according to the rated capacity of the tested machine, a plurality of interval ranges of rated capacity are set, and the capacity parameters of the tested machine are obtained according to the median of the interval ranges in which the rated capacity of the tested machine falls.
2. The method of claim 1, wherein the test characteristic parameters include a target operating condition and a capacity parameter of the machine under test.
3. The method of claim 1, wherein Δz=1/H, where H is the power consumption of the test.
4. The method according to claim 1, wherein the validity 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 newly added record or update record step is executed, recording or updating the weight modification time.
5. A thermal parameter laboratory intelligent control method according to any of claims 1 to 4, characterized in that,
in the new test step, acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and when corresponding laboratory equipment is controlled, acquiring the laboratory equipment state parameters acquired by retrieving records, wherein the laboratory equipment state parameters comprise laboratory equipment on-off state parameters and laboratory equipment working state parameters;
in the step of establishing or updating the database, when inquiring the database record according to the test characteristic parameters and the laboratory equipment state parameters, the laboratory equipment state parameters only comprise the laboratory equipment switch state parameters;
in the step of establishing or updating the database, when the new record is executed, the laboratory equipment state parameters in the new record comprise laboratory equipment on-off state parameters and laboratory equipment working state parameters.
6. A thermal parameter laboratory intelligent control method according to any of claims 1 to 4, characterized in that,
in the new test step, acquiring laboratory equipment state parameters by retrieving records, inputting the laboratory equipment state parameters into a laboratory control system, and when corresponding laboratory equipment is controlled, acquiring the laboratory equipment state parameters by retrieving records, wherein the laboratory equipment state parameters only comprise laboratory equipment switch state parameters;
in the step of establishing or updating the database, when inquiring the database record according to the test characteristic parameters and the laboratory equipment state parameters, the laboratory equipment state parameters only comprise the laboratory equipment switch state parameters;
in the step of establishing or updating the database, when the new record is executed, the laboratory equipment state parameters in the new record only comprise the laboratory equipment switch state parameters.
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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 |
| 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 | Air conditioner temperature control system and method |
| 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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| Publication number | Priority date | Publication date | Assignee | Title |
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| US8200655B2 (en) * | 2009-01-22 | 2012-06-12 | International Business Machines Corporation | Query-based generation of data records |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008006293A1 (en) * | 2006-07-03 | 2008-01-17 | Gree Electric Appliances Inc. Of Zhuhai | An approach and device for testing an air-condition |
| 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 | Air conditioner temperature control system and method |
| 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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