Pump cavity temperature intelligent regulation and control system of claw type dry vacuum pump

Abstract

The invention discloses a pump cavity temperature intelligent regulation and control system of a claw type dry vacuum pump, relates to the technical field of dry vacuum pumps, and solves the problem that the temperature of a pump wall is greatly influenced when the temperature of the pump wall is changed due to the fact that the temperature of the pump wall is not subjected to relevant confirmation. According to the method, the temperature data of the pump cavity and the pump wall of the vacuum pump are collected, trend analysis is conducted on the collected temperature data based on the collected temperature data, related data segments with the same trend are confirmed, and then corresponding trend sets and corresponding trend parameters are locked based on the confirmed related data segments; according to the method and the device, the temperature interval is selected according to the corresponding trend set and the corresponding trend parameter, and then the temperature interval is selected in association based on the corresponding trend set and the corresponding trend parameter, in the specific change process, the relevant division can be carried out based on the corresponding trend parameter, and the corresponding trend is divided in association, so that a better trend division effect is achieved, and the subsequent temperature regulation process is facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of dry vacuum pumps, and in particular to an intelligent control system for the pump chamber temperature of a claw-type dry vacuum pump. Background Art

[0002] The claw-type dry vacuum pump is a variable displacement dry vacuum pump with a claw-shaped rotor. When the motor starts working, the motor drives the claw-shaped rotor to rotate through the transmission device; the rotor rotates at high speed in the pump body, continuously sucking gas from the air inlet, and through the interaction between the rotors and the structural design of the pump chamber, the gas is compressed and discharged from the exhaust port, thereby realizing the vacuum function.

[0003] The application with publication number CN115366865B discloses an intelligent control and control system for an electric vacuum pump of a new energy vehicle, including an automobile internal fluid temperature detection module, an automobile internal fluid temperature analysis module, an automobile external oxygen concentration detection and analysis module, an automobile vacuum pump pressure detection and analysis module, an automobile vacuum pump vacuum degree analysis module, an automobile vacuum pump control and analysis execution module and a data storage library; the pedal force corresponding to each braking of the new energy vehicle is detected by a pressure sensor, and the vacuum pump pressure and vacuum degree corresponding to each braking of the new energy vehicle are obtained by analysis, breaking the limitations of the current technology on the analysis of the vacuum degree in the booster of the new energy vehicle, providing reliable data support for the subsequent control of the electric vacuum pump of the new energy vehicle, and greatly enhancing the control effect of the electric vacuum pump of the new energy vehicle, thereby effectively ensuring the safety of the new energy vehicle during driving.

[0004] When the relevant claw-type dry vacuum pump is used for intelligent regulation of the pump chamber temperature, the temperature of the pump chamber is generally changed based on the required associated temperature. However, in the actual change process, the temperature of the pump wall is not confirmed, which will cause the temperature of the pump wall to be greatly affected when it changes, and simultaneously cause the corresponding related devices on the outside of the pump wall to be affected, resulting in poor performance. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent control system for the pump chamber temperature of a claw-type dry vacuum pump, which solves the problem that the temperature of the pump wall is not confirmed, resulting in a significant impact on the temperature of the pump wall when it changes.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A pump chamber temperature intelligent control system for a claw-type dry vacuum pump, comprising:

[0007] The historical data collection end collects the pump chamber temperature data and the associated pump wall temperature data of the claw-type dry vacuum pump, and transmits the collected pump chamber temperature data and the associated pump wall temperature data at different temperature change stages to the trend segment analysis and processing end;

[0008] The trend segment analysis processing end performs data analysis on the pump chamber temperature data and the associated pump wall temperature data at different temperature change stages, confirms the relevant temperature range of the same trend change segment in the corresponding temperature change stage, and locks the corresponding trend set and the associated characteristic trend. The specific methods include:

[0009] Confirm the pump chamber temperature data and the associated pump wall temperature data belonging to the same temperature change stage, start from the initial temperature data of the corresponding temperature change stage, identify the pump chamber temperature change data Bi between adjacent moments, where Bi=the pump chamber temperature change data at the later moment-the pump chamber temperature change data at the previous moment, and then identify the pump wall temperature data Wi between adjacent moments, where Wi=the pump wall temperature change data at the later moment-the pump wall temperature change data at the previous moment, where i represents the relevant time period between different adjacent moments, and use Qi=Wi÷Bi to confirm the trend parameter Qi between different adjacent moments i;

[0010] According to the sequential association of corresponding moments, several groups of trend parameters Qi are sorted, and the corresponding trend sequence is confirmed. Starting from the first trend parameter of the trend sequence, relevant trend parameters are selected in sequence, and variance processing is performed on the selected trend parameters in sequence. When the confirmed variance F1>Y1, the selection is stopped, where Y1 is a preset value, and the trend parameter selected this time is used as the first trend parameter of the next group of variance processing, and the several groups of trend parameters selected this time are used as a group of trend sets, and then starting from the confirmed first trend parameter, other trend sets are confirmed in sequence, and the trend sequence is divided into multiple groups of different trend sets, and the mean values ​​of several groups of trend parameters in the trend set are determined, which are marked as the characteristic trend of this trend set;

[0011] Confirm the relevant characteristic trends of different trend sets divided by the temperature change stage, and transmit the confirmed trend sets associated with the corresponding temperature change stages and the relevant characteristic trends to the database for storage, and determine the corresponding trend sets and characteristic trends for different temperature change stages in turn and store them;

[0012] A database stores trend sets and corresponding characteristic trends confirmed at different temperature change stages, where different trend sets are associated with different temperature intervals;

[0013] The logic data analysis end determines the temperature range that needs to be climbed based on the input required temperature and the actual temperature of the pump chamber, and then selects the temperature from the trend set and the corresponding characteristic trend stored in the database, and transmits the selected interval sequence to the temperature control execution end for execution; the specific method of determining the interval sequence is:

[0014] Based on the input required temperature Ws and the actual temperature SS of the pump chamber, the temperature variation range is determined from the actual temperature SS-required temperature Ws;

[0015] Confirm the temperature interval associated with its temperature variation range from the database. The temperature intervals that belong to the temperature variation range or have an overlapping range with the temperature variation range are divided into the associated temperature intervals. Randomly combine several groups of temperature intervals and determine their combined intervals. The ratio of the temperature range with an intersection in the combined interval to the temperature range of the entire combined interval shall not exceed 30%. Its temperature variation range ∈ the temperature range of the combined interval. Perform correlation analysis on the trend sets associated with different combined intervals and the corresponding characteristic trends. Perform standard deviation processing on the confirmed groups of characteristic trends to confirm the associated standard deviation B k , where k represents different combination intervals, and the associated standard deviation B k The combined interval associated with min is marked as the execution interval;

[0016] Based on the several groups of temperature intervals associated with the execution interval, according to the middle values ​​of the corresponding temperature intervals, the several groups of temperature intervals are sorted in a descending order based on the middle values ​​to confirm the interval sequence;

[0017] The confirmed interval sequence is transmitted to the temperature control execution end for temperature execution.

[0018] Preferably, it also includes:

[0019] The temperature control execution end confirms the associated temperature interval based on the confirmed interval sequence, determines the temperature interval to which the pump cavity belongs based on the current temperature of the pump cavity, and then performs temperature execution based on the relevant data of the corresponding temperature interval to make the pump cavity reach the required temperature. The specific method is as follows:

[0020] Based on a plurality of groups of pump chamber temperature change data Bi associated with corresponding temperature intervals, a plurality of groups Bi are preferably averaged to determine an associated average value Jq, where q represents different temperature intervals;

[0021] Determine the temperature interval to which the current temperature of the pump chamber belongs, confirm the associated mean value Jq confirmed by the temperature interval, control the current temperature to change it to the endpoint value of the temperature interval, and after the temperature control associated with the current temperature interval is completed, execute the next set of temperature intervals and perform associated adjustments based on the corresponding associated mean value Jq, and so on, so that the pump chamber reaches the required temperature.

[0022] The present invention provides an intelligent control system for the pump chamber temperature of a claw-type dry vacuum pump. Compared with the prior art, the system has the following beneficial effects:

[0023] The present invention collects temperature data of the pump chamber and the pump wall of the vacuum pump, and performs trend analysis on the collected temperature data, confirms relevant data segments with the same trend, and then locks the corresponding trend set and the corresponding trend parameters based on the confirmed relevant data segments. Subsequently, the temperature interval is associated and selected based on the corresponding trend set and the corresponding trend parameters. In a specific change process, the corresponding trend parameters can be used to perform related division, so that the corresponding trends are associated and divided, so as to achieve a better trend division effect and facilitate the subsequent temperature control process.

[0024] According to the temperature characteristic mean associated with the corresponding temperature interval, and then based on the corresponding mean as the corresponding change trend, the corresponding temperature is changed, and the associated changes are made according to the confirmation, and the temperature is controlled during the change process. This temperature control method can effectively make the temperature of the pump chamber and the pump wall in a state of uniform change, thereby ensuring its overall temperature control effect, thereby achieving a better temperature control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0026] Figure 2 It is a schematic diagram for determining the characteristic trend of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] First embodiment

[0029] See also Figure 1 as well as Figure 2, the present application provides a claw-type dry vacuum pump chamber temperature intelligent control system, including a historical data acquisition end, a trend segment analysis and processing end, a database, a logic data analysis end, and a temperature control execution end, wherein the historical data acquisition end, the trend segment analysis and processing end, the database, the logic data analysis end, and the temperature control execution end are electrically connected from the output node to the input node;

[0030] Among them, the historical data collection end collects the pump chamber temperature data and the associated pump wall temperature data of the claw-type dry vacuum pump, and transmits the collected pump chamber temperature data and the associated pump wall temperature data at different temperature change stages to the trend segment analysis and processing end, wherein the pump chamber temperature data and the associated pump wall temperature data are collected by the designated temperature sensor, and when the pump chamber temperature data changes, the related pump wall temperature data will be driven to change, so the changes of the two temperature data are correlated;

[0031] Among them, the trend segment analysis processing end performs data analysis on the pump chamber temperature data and the associated pump wall temperature data at different temperature change stages, and confirms the relevant temperature range of the same trend change segment in the corresponding temperature change stage (the so-called same trend change segment means that when the pump wall temperature changes, the change trend of the corresponding pump chamber temperature is relatively consistent, that is, the change between the two is relatively consistent, and the corresponding line segment with relatively consistent changes is confirmed from the corresponding change data). The specific method of confirming the relevant temperature range includes:

[0032] Confirm the pump chamber temperature data and the associated pump wall temperature data belonging to the same temperature change stage, the same temperature change stage is the corresponding temperature change process or the corresponding execution processing process, each different execution processing process has different temperature data changes, starting from the initial temperature data of the corresponding temperature change stage, identify the pump chamber temperature change data Bi between adjacent moments, where Bi=the pump chamber temperature change data at the later moment-the pump chamber temperature change data at the previous moment, and then identify the pump wall temperature data Wi between adjacent moments, where Wi=the pump wall temperature change data at the later moment-the pump wall temperature change data at the previous moment, wherein i represents the relevant time period between different adjacent moments, and Qi=Wi÷Bi is used to confirm the trend parameter Qi between different adjacent moments i;

[0033] According to the sequential association of the corresponding moments, several groups of trend parameters Qi are sorted, and the corresponding trend sequence is confirmed. Starting from the first trend parameter of the trend sequence, the relevant trend parameters are selected in turn, and the selected trend parameters are processed with variance. When the confirmed variance F1>Y1, the selection is stopped, where Y1 is a preset value, and its specific value is determined by the operator based on experience. The trend parameter selected this time is used as the first trend parameter of the next group of variance processing, and the several groups of trend parameters selected this time are used as a group of trend sets, and then the other trend sets are confirmed in turn from the confirmed first trend parameter, and the trend sequence is divided into multiple Different trend sets are formed, and the mean values ​​of several groups of trend parameters in the trend set are determined, which are marked as the characteristic trends of this trend set. Specifically, the corresponding trend sequence is proposed to be {Q1, Q2, ..., Qn}, and the analysis is carried out from the first group of trend parameters in the trend sequence. It is proposed that the variance F1 confirmed between the sequences Q1-Q2-Q3 is less than or equal to Y1. When it comes to Q4, the confirmed variance F1 is greater than Y1, so Q4 belongs to the first trend parameter of the next group of variance processing. Similarly, the corresponding trend set can be confirmed by analyzing it in sequence, so that the trend sequence can be divided in sequence, so as to confirm several different trend sets.

[0034] Confirm the relevant characteristic trends of different trend sets divided by the temperature change stage, and transmit the confirmed trend sets associated with the corresponding temperature change stages and the relevant characteristic trends to the database for storage, and determine the corresponding trend sets and characteristic trends for different temperature change stages in turn and store them;

[0035] Specifically, there are different temperature change situations for different temperature change stages. Different temperature change situations result in different temperature change trends of the pump wall and the pump chamber. In the specific change process, relevant divisions can be made based on the corresponding trend parameters, so that the corresponding trends can be associated and divided, so as to achieve better trend division effects and facilitate the subsequent temperature control process.

[0036] Second embodiment

[0037] In the specific implementation process of this embodiment, compared with the above process, this embodiment is mainly used to execute the corresponding temperature control process to complete the corresponding temperature intelligent control work;

[0038] Its database stores trend sets confirmed at different temperature change stages and corresponding characteristic trends, where different trend sets are associated with different temperature intervals;

[0039] Among them, the logic data analysis end confirms the temperature range that needs to be climbed based on the input required temperature and the actual temperature of the pump chamber, and then selects the temperature from the trend set and the corresponding characteristic trend stored in the database, and transmits the selected interval sequence to the temperature control execution end for execution. The specific method of temperature selection is:

[0040] Based on the input required temperature Ws and the actual temperature SS of the pump chamber (SS is collected by the associated sensor set inside the pump chamber), the temperature variation range is determined from the actual temperature SS-required temperature Ws;

[0041] The temperature interval associated with the temperature variation range is confirmed from the database. The temperature intervals belonging to the temperature variation range or having an overlapping range with the temperature variation range are all divided into the associated temperature intervals. Several groups of temperature intervals are randomly combined and their combined intervals are determined. The ratio of the temperature range with an intersection in the combined interval to the temperature range of the entire combined interval shall not exceed 30% (that is, there are currently five corresponding temperature intervals, but each temperature interval may have the same temperature range. Then, when combining, the corresponding same temperature range belongs to the corresponding intersection range, and the intersection range has a related proportion, and the numerical range associated with the corresponding proportion is not allowed to exceed 30% of the total range of the corresponding combined interval). The temperature variation range ∈ the temperature range of the combined interval, the trend sets associated with different combined intervals and the corresponding characteristic trends are associated with analysis, and the confirmed groups of characteristic trends are processed with standard deviation to confirm the associated standard deviation B k , where k represents different combination intervals, and the associated standard deviation B k The combined interval associated with min is marked as the execution interval;

[0042] Based on the several groups of temperature intervals associated with the execution interval, according to the middle values ​​of the corresponding temperature intervals, the several groups of temperature intervals are sorted in a descending order based on the middle values ​​to confirm the interval sequence;

[0043] The confirmed interval sequence is transmitted to the temperature control execution end for temperature execution.

[0044] The temperature control execution end determines the temperature interval associated with the confirmed interval sequence, determines the temperature interval to which the pump cavity belongs based on the current temperature of the pump cavity, and then performs temperature execution based on the relevant data of the corresponding temperature interval, so that the pump cavity reaches the required temperature. The specific method of performing temperature execution is as follows:

[0045] Based on a plurality of groups of pump chamber temperature change data Bi associated with corresponding temperature intervals, a plurality of groups Bi are preferably averaged to determine an associated average value Jq, where q represents different temperature intervals;

[0046] Determine the temperature interval to which the current temperature of the pump chamber belongs, confirm the associated mean value Jq confirmed by the temperature interval, control the current temperature to change it to the endpoint value of the temperature interval, and after the temperature control associated with the current temperature interval is completed, execute the next set of temperature intervals and perform associated adjustments based on the corresponding associated mean value Jq, and so on, so that the pump chamber reaches the required temperature.

[0047] Specifically, based on the temperature characteristic mean Jq associated with the corresponding temperature interval, and then based on the corresponding mean Jq as the corresponding change trend, the corresponding temperature is changed, and the associated changes are made based on the confirmed Jq, and the temperature is controlled during the change process. This temperature control method can effectively make the temperature of the pump chamber and the pump wall in a state of uniform change, thereby ensuring its overall temperature control effect, thereby achieving a better temperature control method.

[0048] Third embodiment

[0049] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0050] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0051] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for the pump chamber temperature of a claw-type dry vacuum pump, characterized in that: include: The historical data collection end collects the pump chamber temperature data and the associated pump wall temperature data of the claw-type dry vacuum pump, and transmits the collected pump chamber temperature data and the associated pump wall temperature data at different temperature change stages to the trend segment analysis and processing end; The trend segment analysis processing end performs data analysis on the pump chamber temperature data and the associated pump wall temperature data at different temperature change stages, confirms the relevant temperature range of the same trend change segment in the corresponding temperature change stage, and locks the corresponding trend set and the associated characteristic trend; A database stores trend sets and corresponding characteristic trends confirmed at different temperature change stages, where different trend sets are associated with different temperature intervals; The logic data analysis end confirms the temperature range that needs to be climbed based on the input demand temperature and the actual temperature of the pump chamber, and then selects the temperature from the trend set and corresponding characteristic trends stored in the database, and transmits the selected interval sequence to the temperature control execution end for execution.

2. The intelligent control system for pump chamber temperature of a claw-type dry vacuum pump according to claim 1 is characterized in that: The specific method for confirming the relevant temperature range at the trend segment analysis processing end includes: Confirm the pump chamber temperature data and the associated pump wall temperature data belonging to the same temperature change stage, start from the initial temperature data of the corresponding temperature change stage, identify the pump chamber temperature change data Bi between adjacent moments, where Bi=the pump chamber temperature change data at the later moment-the pump chamber temperature change data at the previous moment, and then identify the pump wall temperature data Wi between adjacent moments, where Wi=the pump wall temperature change data at the later moment-the pump wall temperature change data at the previous moment, where i represents the relevant time period between different adjacent moments, and Qi=Wi÷Bi is used to confirm the trend parameter Qi between different adjacent moments i; According to the sequential association of corresponding moments, several groups of trend parameters Qi are sorted, and the corresponding trend sequence is confirmed. Starting from the first trend parameter of the trend sequence, relevant trend parameters are selected in sequence, and variance processing is performed on the selected trend parameters in sequence. When the confirmed variance F1>Y1, the selection is stopped, where Y1 is a preset value, and the trend parameter selected this time is used as the first trend parameter of the next group of variance processing, and the several groups of trend parameters selected this time are used as a group of trend sets, and then starting from the confirmed first trend parameter, other trend sets are confirmed in sequence, and the trend sequence is divided into multiple groups of different trend sets, and the mean values ​​of several groups of trend parameters in the trend set are determined, which are marked as the characteristic trend of this trend set; The characteristic trends of different trend sets divided by this temperature change stage are relevantly confirmed, and the trend sets associated with the confirmed corresponding temperature change stages and the relevant characteristic trends are transmitted to the database for storage. For different temperature change stages, the corresponding trend sets and characteristic trends are determined in turn and stored.

3. The intelligent control system for pump chamber temperature of a claw-type dry vacuum pump according to claim 1 is characterized in that: The specific method of determining the interval sequence at the logical data analysis end is: Based on the input required temperature Ws and the actual temperature SS of the pump chamber, the temperature variation range is determined from the actual temperature SS-required temperature Ws; Confirm the temperature interval associated with the temperature change range from the database. The temperature intervals that belong to the temperature change range or have an overlapping range with the temperature change range are divided into the associated temperature intervals. Randomly combine several groups of temperature intervals and determine their combined intervals. The temperature change range ∈ the temperature range of the combined interval. Perform correlation analysis on the trend sets associated with different combined intervals and the corresponding characteristic trends. Perform standard deviation processing on the confirmed groups of characteristic trends to confirm the associated standard deviation B k , where k represents different combination intervals, and the associated standard deviation B k The combined interval associated with min is marked as the execution interval; Based on the several groups of temperature intervals associated with the execution interval, according to the middle values ​​of the corresponding temperature intervals, the several groups of temperature intervals are sorted in a descending order based on the middle values ​​to confirm the interval sequence; The confirmed interval sequence is transmitted to the temperature control execution end for temperature execution.

4. The intelligent control system for pump chamber temperature of a claw-type dry vacuum pump according to claim 3 is characterized in that: The ratio of the temperature range with intersection in the combination interval to the temperature range of the entire combination interval shall not exceed 30%.

5. The intelligent control system for pump chamber temperature of a claw-type dry vacuum pump according to claim 1, characterized in that: Also includes: The temperature control execution end confirms the associated temperature interval based on the confirmed interval sequence, determines the temperature interval to which it belongs based on the current temperature of the pump chamber, and then performs temperature execution based on the relevant data of the corresponding temperature interval to make the pump chamber reach the required temperature.

6. The intelligent control system for pump chamber temperature of a claw-type dry vacuum pump according to claim 5, characterized in that: The specific method of the temperature control execution end for temperature execution based on the relevant data of the corresponding temperature range is: Based on a plurality of groups of pump chamber temperature change data Bi associated with corresponding temperature intervals, a plurality of groups Bi are preferably averaged to determine an associated average value Jq, where q represents different temperature intervals; Determine the temperature interval to which the current temperature of the pump chamber belongs, confirm the associated mean value Jq confirmed by the temperature interval, control the current temperature to change it to the endpoint value of the temperature interval, and after the temperature control associated with the current temperature interval is completed, execute the next set of temperature intervals and perform associated adjustments based on the corresponding associated mean value Jq, and so on, so that the pump chamber reaches the required temperature.

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