Energy-saving oil cooling system based on exhaust pressure and oil temperature regulation cooperative control

Abstract

The invention relates to the field of cooling control, in particular to an energy-saving oil cooling system based on exhaust pressure and oil temperature regulation cooperative control, which comprises a target evaluation module, a control module and a control module, adopting a prediction optimization mode or a parameter optimization mode to carry out oil cooling cooperative control on the target cooling device according to the determined cooling control strategy of the target cooling device; the control optimization module is used for determining a control optimization strategy of each cooling execution stage according to the stage dynamic index; the control execution module is used for determining a control index of a pre-estimation analysis stage according to the control optimization strategy determined by the control optimization module, and responding to a control adjustment condition to determine whether to adjust a proportional control index of the pre-estimation analysis stage or not; the parameter optimization module is used for determining an evaluation optimization mode of the evaluation index standard value according to the regulation and control evaluation coefficient, and the energy consumption of the oil cooling system is effectively reduced while the oil temperature control effect is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of cooling control, and in particular to an energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation. Background Art

[0002] When performing cooling tasks through oil cooling technology, it is necessary to keep the oil temperature within a reasonable range at all times to avoid excessive oil temperature that aggravates energy consumption and wear of the equipment. Among them, by monitoring the exhaust pressure and real-time oil temperature during the operation, the execution effect of the oil cooling system on oil temperature control can be evaluated, and the control process can be continuously optimized to improve the energy consumption of the oil cooling system as much as possible while ensuring the quality of oil temperature control. However, existing oil cooling systems often fail to optimize the control process in combination with the actual operating conditions of the device, resulting in a single control process that cannot fully adapt to the actual working scenario. Therefore, how to make targeted optimization of the control process in combination with the operating status of the device and the oil temperature control effect to ensure the temperature control effect and energy-saving effect of the oil cooling system is an urgent problem to be solved by technical personnel in this field.

[0003] Chinese Patent Publication No. CN104376974A discloses a forced oil circulation, energy-saving, low-noise air-cooled transformer cooling system, comprising a cooling frame, a heat dissipation pipe and an air duct fixedly connected to the cooling frame, a dust-proof and silencer net installed at the air inlet of the air duct, and a fan motor and a water spray cooling device installed in the cooling frame. A control circuit module is provided in the sub-control box, and the control circuit module is respectively connected to a first temperature sensor installed on the oil outlet pipe and a second temperature sensor installed on the oil inlet pipe, and the control circuit module is connected to the fan motor and the water spray cooling device. However, the above technical solution has the following problems: it fails to combine the operating status of the device and the oil temperature control effect to carry out targeted optimization of the oil temperature control process, resulting in the inability to simultaneously take into account the oil temperature control effect and the energy-saving effect of the oil cooling system. Summary of the Invention

[0004] To this end, the present invention provides an energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation, which is used to overcome the problem that the prior art fails to combine the operating status of the device and the oil temperature control effect, and performs targeted optimization of the oil temperature control process, resulting in the inability to simultaneously take into account the oil temperature control effect and the energy-saving effect of the oil cooling system.

[0005] To achieve the above objectives, the present invention provides an energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation, comprising: A target evaluation module is used to determine, based on a load reference value and a load fluctuation index, whether a cooling control strategy of a target cooling device is to adopt a predictive optimization method or a parameter optimization method, so as to perform oil cooling coordinated control on the target cooling device; a control optimization module connected to the target evaluation module and configured to determine, based on the stage dynamic index, a control optimization strategy for each cooling execution stage, such as determining a proportional control index for the estimation analysis stage based on the load interference index and the stage dynamic index, or determining, based on the control floating coefficient, whether to adjust the differential control index for the estimation analysis stage; a control execution module connected to the control optimization module, configured to determine the control index of the estimation and analysis stage according to the control optimization strategy determined by the control optimization module, and to determine whether to adjust the proportional control index of the estimation and analysis stage according to the stage deviation index; a parameter optimization module connected to the target evaluation module, configured to determine an evaluation optimization method based on an evaluation coefficient to optimize the standard value of the evaluation index, such as determining an optimization execution method based on an execution quality coefficient, or adjusting the standard value of the evaluation index based on the evaluation coefficient; The optimization execution method is to adjust the evaluation indicator standard value according to the execution evaluation index, or to adjust the proportion control indicator according to the execution quality coefficient.

[0006] Furthermore, if the target evaluation condition responded by the target evaluation module is that the load reference value of the target cooling device is greater than a preset load reference value or the load floating index is greater than a preset load floating index, it is determined that the oil cooling coordinated control is performed on the target cooling device in a predictive optimization manner; The target evaluation module determines that a target cooling device having a load reference value greater than a preset load reference value or a load floating index greater than a preset load floating index is a type of target cooling device.

[0007] Furthermore, if the target evaluation condition responded by the target evaluation module is that the load reference value of the target cooling device is less than or equal to the preset load reference value and the load floating index is less than or equal to the preset load floating index, it is determined that the oil cooling coordinated control is performed for the target cooling device in a parameter optimization manner; The target evaluation module determines that a target cooling device having a load reference value less than or equal to a preset load reference value and a load floating index less than or equal to a preset load floating index is a second-category target cooling device.

[0008] Furthermore, the control optimization module responds to the first optimization condition, periodically determines the stage dynamic index of each cooling execution stage according to the stage execution evaluation parameter and the stage regulation index, and determines the control optimization strategy of each cooling execution stage according to the stage dynamic index; The first optimization condition is that the target evaluation module determines to adopt a predictive optimization method to perform oil cooling coordinated control on the target cooling device.

[0009] Furthermore, if the execution evaluation condition responded by the control optimization module is that the stage dynamic index is greater than the preset stage dynamic index, the control execution module determines the proportional control index of the estimation and analysis stage according to the load interference index and the stage dynamic index, and determines whether to adjust the proportional control index of the estimation and analysis stage according to the stage deviation index; The proportional control index is positively correlated with the load interference index and the stage dynamic index respectively.

[0010] Furthermore, when the control adjustment condition responsive to the control execution module is that the stage deviation index is greater than a preset stage deviation index, it is determined to increase the proportional control index of the estimation and analysis stage based on the stage deviation index and the deviation interference coefficient, and to increase the differential control index of the estimation and analysis stage based on the deviation interference coefficient; The increase value of the proportional control index is positively correlated with the stage deviation index and the deviation interference coefficient respectively; The increase value of the differential control index is positively correlated with the deviation interference coefficient.

[0011] Furthermore, if the execution evaluation condition of the control optimization module response is that the stage dynamic index is less than or equal to the preset stage dynamic index, the control execution module determines whether to adjust the differential control index of the estimation analysis stage according to the control floating coefficient; The stable control condition of the control execution module response is that the control floating coefficient of the target analysis phase is greater than the preset control floating coefficient, and then it is determined to reduce the differential control index of the estimation analysis phase according to the control floating coefficient; The reduction value of the differential control index is positively correlated with the control floating coefficient.

[0012] Furthermore, the parameter optimization module responds to the second optimization condition, determines a control evaluation coefficient based on the control response index and the execution evaluation index, and determines an evaluation optimization method of the evaluation index standard value according to the control evaluation coefficient; The regulation evaluation coefficient is positively correlated with the regulation response index, and the regulation evaluation coefficient is negatively correlated with the execution evaluation index; The second optimization condition is that the target evaluation module determines to adopt parameter optimization method for the target cooling device to perform oil cooling coordinated control.

[0013] Furthermore, if the standard optimization condition responded by the parameter optimization module is that the control evaluation coefficient of the target evaluation period is within the first control evaluation range, then it is determined that the execution quality coefficient of the target evaluation period is determined according to the execution evaluation index and the execution difference index, and the optimization execution mode is determined based on the execution quality coefficient; If the optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is greater than the preset execution quality coefficient, the standard value of the evaluation indicator in the target optimization stage is reduced according to the execution evaluation index; The optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is less than or equal to the preset execution quality coefficient, and the proportional control index in the target optimization stage is increased and adjusted according to the execution quality coefficient.

[0014] Furthermore, the standard optimization condition responded by the parameter optimization module is that the control evaluation coefficient of the target evaluation period is within the second control evaluation range, and then it is determined to increase the standard value of the evaluation index based on the control evaluation coefficient; The increase in the standard value of the evaluation index is positively correlated with the regulation response index.

[0015] Compared with the prior art, the beneficial effect of the present invention lies in that the technical solution of the present invention determines the cooling control strategy based on the load reference value and load floating index of the target cooling device, and then makes targeted adjustments to the oil temperature control process, so that the analysis of the oil temperature control process of the target cooling device is more suitable for actual working scenarios, so as to ensure the effectiveness of the subsequent optimization results determined for the control process, while ensuring the oil temperature control effect, reducing the energy consumption generated by the oil cooling system.

[0016] Furthermore, the present invention is aimed at a target cooling device with a large load reference value or a large load floating index. Since the operating conditions of such a target cooling device within the target monitoring period are likely to cause continuous interference to the subsequent target monitoring period, the stage dynamic index of each cooling execution stage is determined according to the stage execution evaluation parameter and the stage control index, and then the control optimization strategy is determined to optimize the cooling control process in the estimation and analysis stage, further ensuring the effectiveness of the optimization results of the control process. The present invention improves the cooling control effect in the actual cooling process.

[0017] Furthermore, the present invention determines the control optimization strategy of the estimation analysis stage according to the stage dynamic index of the target optimization stage, so as to make targeted adjustments to the control parameters in its control process. Since such target optimization stages are more susceptible to continuous interference, the temperature control situation of the target analysis stage is analyzed in real time to make targeted optimization for the control process of the corresponding estimation analysis stage, thereby ensuring both the reliability of the temperature control process and the control efficiency in the actual cooling process.

[0018] Furthermore, the present invention is aimed at a target cooling device with a small load reference value and a small load floating index. Since the operating load of this type of target cooling device is continuously at a low level during the target monitoring period when judging the cooling control strategy, the interference with the oil temperature control process in the target optimization stage is relatively weak. By analyzing the control evaluation coefficient of the target evaluation period, the dominant problems in the temperature control process are determined, and targeted optimization is made. Under the premise of avoiding excessive analysis in the actual cooling process, the optimization effect of the temperature control process is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a module connection diagram of the energy-saving oil cooling system based on the coordinated control of exhaust pressure and oil temperature regulation of the present invention; Figure 2 This is a flow chart of the target evaluation module of the present invention determining the cooling control strategy of the target cooling device according to the load reference value and the load floating index; Figure 3 This is a flow chart of the control optimization module of the present invention determining the control optimization strategy for each cooling execution stage according to the stage dynamic index; Figure 4 This is a flow chart of the parameter optimization module of the present invention determining the evaluation optimization method according to the control evaluation coefficient. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0024] See also Figures 1 to 4 As shown, the present invention provides an energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation, comprising: A target evaluation module is used to determine, based on a load reference value and a load fluctuation index, whether a cooling control strategy of a target cooling device is to adopt a predictive optimization method or a parameter optimization method, so as to perform oil cooling coordinated control on the target cooling device; a control optimization module connected to the target evaluation module and configured to determine, based on the stage dynamic index, a control optimization strategy for each cooling execution stage, such as determining a proportional control index for the estimation analysis stage based on the load interference index and the stage dynamic index, or determining, based on the control floating coefficient, whether to adjust the differential control index for the estimation analysis stage; a control execution module connected to the control optimization module, configured to determine the control index of the estimation and analysis stage according to the control optimization strategy determined by the control optimization module, and to determine whether to adjust the proportional control index of the estimation and analysis stage according to the stage deviation index; a parameter optimization module connected to the target evaluation module, configured to determine an evaluation optimization method based on an evaluation coefficient to optimize the standard value of the evaluation index, such as determining an optimization execution method based on an execution quality coefficient, or adjusting the standard value of the evaluation index based on the evaluation coefficient; The optimization execution method is to adjust the evaluation indicator standard value according to the execution evaluation index, or to adjust the proportion control indicator according to the execution quality coefficient.

[0025] The present invention is used to control and optimize the cooling process of a target cooling device so as to improve the energy-saving effect of the oil cooling process while ensuring the oil cooling effect of the target cooling device. The target cooling device in the present invention is an evaporative oil cooling device equipped with a device component that needs to be cooled. The present invention uses a fuzzy PID control algorithm to regulate the oil temperature of the cooling lubricating oil used in the oil cooling compressor. How to set the fuzzy PID control algorithm according to the actual working scenario is already known to those skilled in the art. The present invention uses a parameter monitoring cycle. The duration of the parameter monitoring cycle can be determined by the user. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the shorter the duration of the parameter monitoring cycle. A value of the duration of the parameter monitoring cycle is provided. The duration of the parameter monitoring cycle is 10s. At the end of each parameter monitoring cycle, the input oil temperature and output oil temperature of the cooling lubricating oil and the exhaust pressure of the oil cooling compressor are detected. The present invention continuously monitors the oil temperature of the cooling lubricating oil in the target cooling device when it is input to the oil cooling compressor and the oil temperature when it is output from the oil cooling compressor according to the parameter monitoring cycle, and records them as the input oil temperature and the output oil temperature, respectively. The present invention uses several collaborative control records, and any collaborative control record records at least one load reference value, load floating index, stage execution parameter, stage dynamic index, stage deviation index, control floating coefficient, execution quality coefficient and control evaluation coefficient in the control optimization process of the target cooling device, and each collaborative control record corresponds to a qualified mark, which records whether the cooling quality and energy-saving effect of the target cooling device meet user requirements.

[0026] Specifically, if the target evaluation condition responded by the target evaluation module is that the load reference value of the target cooling device is greater than the preset load reference value or the load floating index is greater than the preset load floating index, it is determined that the oil cooling coordinated control is performed for the target cooling device in a predictive optimization manner; The target evaluation module determines that a target cooling device having a load reference value greater than a preset load reference value or a load floating index greater than a preset load floating index is a type of target cooling device.

[0027] Specifically, the target evaluation module responds to a target evaluation condition that the load reference value of the target cooling device is less than or equal to a preset load reference value and the load floating index is less than or equal to a preset load floating index, and then determines to adopt a parameter optimization method to perform oil cooling coordinated control for the target cooling device; The target evaluation module determines that a target cooling device having a load reference value less than or equal to a preset load reference value and a load floating index less than or equal to a preset load floating index is a second-category target cooling device.

[0028] Among them, in the present invention, the cooling control strategy of the target cooling device is periodically determined according to the load reference value and the load floating index. The load reference value and the load floating index are determined according to the exhaust pressure of the cooling compressor corresponding to the target cooling device. In the present invention, a cyclic target monitoring period is applied, and the duration of the target monitoring period can be determined by the user. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the shorter the duration of the target monitoring period. A target monitoring period duration is provided, and the duration of the target monitoring period is 1 hour. At the end of each target monitoring period, the load reference value and the load floating index of the target cooling device are detected to determine the cooling control strategy; If the current moment is the end moment of a target monitoring cycle, the load reference value and load floating index of the target cooling device in the target monitoring cycle are detected, the load reference value is the average value of the exhaust pressure of the cooling compressor obtained each time in the target monitoring cycle, the load floating index = the absolute value of the difference between the maximum value and the minimum value of the exhaust pressure of the oil cooling compressor obtained each time in the target monitoring cycle / the maximum value of the exhaust pressure of the oil cooling compressor obtained each time in the target monitoring cycle, the preset load reference value and the preset load floating index can be determined by the user according to the actual working scenario, for example, the user can set it according to the collaborative control record, and the user can set the target cooling device according to the collaborative control record. The higher the requirements for cooling quality and energy-saving effect, the smaller the value of the preset load reference value, and the smaller the value of the preset load floating index. A method for determining the preset load reference value is provided, and the collaborative control record of oil cooling collaborative control for the target cooling device using a predictive optimization method is recorded as an evaluation reference record. The average value of the load reference value of the target cooling device in the evaluation reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset load reference value. A method for determining the preset load floating index is provided, and the average value of the load floating index of the target cooling device in the evaluation reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset load floating index.

[0029] Specifically, the control optimization module responds to the first optimization condition, periodically determines the stage dynamic index of each cooling execution stage according to the stage execution evaluation parameter and the stage regulation index, and determines the control optimization strategy of each cooling execution stage according to the stage dynamic index; The first optimization condition is that the target evaluation module determines to adopt a predictive optimization method to perform oil cooling coordinated control on the target cooling device.

[0030] Among them, if the target cooling device is a type of target cooling device, its cooling control strategy is to use a predictive optimization method to perform oil cooling collaborative control on the target cooling device within the target optimization stage, and the time range corresponding to the target monitoring period with the moment when the cooling control strategy is most recently completed as the starting moment is recorded as the target optimization stage. Within the target optimization stage, the stage dynamic index of each cooling execution stage is periodically determined according to the stage execution evaluation parameter and the stage regulation index. The present invention applies a cyclic dynamic evaluation cycle, and the duration of the dynamic evaluation cycle can be determined by the user. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the longer the duration of the dynamic evaluation cycle. A dynamic evaluation cycle duration is provided, and the duration of the dynamic evaluation cycle is 5 minutes. At the end of each dynamic evaluation cycle, the stage dynamic index is detected; The target optimization stage is divided according to the dynamic evaluation cycle to obtain several cooling execution stages. The duration of each cooling execution stage is the duration of the dynamic evaluation cycle, and the start time and end time of each cooling execution stage correspond to the end time of the dynamic evaluation cycle. For a single cooling execution stage, the stage dynamic index is the product of the stage execution evaluation parameter of the cooling execution stage and the stage control index. The stage execution parameters of each cooling execution stage within the dynamic monitoring range of the cooling execution stage are obtained. The stage execution evaluation parameter = the number of key execution stages within the dynamic monitoring range of the cooling execution stage / the dynamic monitoring range of the cooling execution stage The number of internal cooling execution stages, the cooling execution stage with a stage execution parameter less than or equal to the preset stage execution parameter is recorded as a key execution stage, and the cooling execution stage with a stage execution parameter greater than the preset stage execution parameter is recorded as a regular execution stage. The stage control index is the duration of the process of regulating the cooling oil temperature within the dynamic monitoring range of the cooling execution stage. The end time of the dynamic monitoring range is the start time of the cooling execution stage. The user can set the duration of the dynamic monitoring range according to the actual working scenario. A value of the duration of the dynamic monitoring range is provided. The duration of the dynamic monitoring range is 10 times the duration of the cooling execution stage. For a single cooling execution stage, the stage execution parameter = the standard value of the evaluation index of the target cooling device / the average value of the input oil temperature obtained each time during the cooling execution cycle. The value of the preset stage execution parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to the collaborative control record. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the larger the value of the preset stage execution parameter. A method for setting the value of the preset stage execution parameter is provided, and the average value of the stage execution parameters of each key execution stage in the collaborative control record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset stage execution parameter. A value of the preset stage execution parameter is provided, and the value of the preset stage execution parameter is 1.2. The standard value of the evaluation index is the maximum value of the input oil temperature that can ensure the cooling effect of the target cooling device. The user can set the value of the standard value of the evaluation index according to the actual working scenario. This is content that is easy for technicians in this field to understand and will not be elaborated here.

[0031] Specifically, if the execution evaluation condition of the control optimization module response is that the stage dynamic index is greater than the preset stage dynamic index, the control execution module determines the proportional control index of the estimation analysis stage according to the load interference index and the stage dynamic index, and determines whether to adjust the proportional control index of the estimation analysis stage according to the stage deviation index; The proportional control index is positively correlated with the load interference index and the stage dynamic index respectively.

[0032] The value of the preset stage dynamic index can be determined by the user according to the actual working scenario. For example, the user can set it according to the collaborative control record. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, a method for determining the value of the preset stage dynamic index is provided. The collaborative control record for determining the proportional control index of the estimated analysis stage according to the load interference index and the stage dynamic index is recorded as a dynamic reference record, and the average value of the stage dynamic index in the dynamic reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset stage dynamic index. The cooling execution phase at the current moment is recorded as the target analysis phase, and the cooling execution phase following the target analysis phase is recorded as the estimated analysis phase. If the phase dynamic index of the target analysis phase is greater than the preset phase dynamic index, the proportional control index of the estimated analysis phase is determined based on the load interference index and the phase dynamic index. In such target analysis phases, the phase execution parameters within their dynamic monitoring range are often in a poor state, and the duration of normal operation after each oil temperature control is also short. This indicates that the cooling lubricant oil temperature cannot be effectively controlled within the aforementioned time range, especially with frequent changes in the lubricant oil temperature. Therefore, the proportional control index in the executed PID algorithm is adjusted to ensure that the control process for the subsequent estimated analysis phase is more consistent with actual operating scenarios. The proportional control index is positively correlated with the phase reference index, which is the product of the load interference index of the target analysis phase and the phase dynamic index. The load interference index = |the average value of the exhaust pressure obtained within the dynamic monitoring range of the target analysis phase - the preset load reference value| / the preset load reference value.

[0033] Specifically, if the control adjustment condition responsive to the control execution module is that the stage deviation index is greater than a preset stage deviation index, then the control execution module determines to increase the proportional control index of the estimation and analysis stage based on the stage deviation index and the deviation interference coefficient, and to increase the differential control index of the estimation and analysis stage based on the deviation interference coefficient; The increase value of the proportional control index is positively correlated with the stage deviation index and the deviation interference coefficient respectively; The increase value of the differential control index is positively correlated with the deviation interference coefficient.

[0034] Among them, if the determination of the proportional control index of the estimated analysis stage is completed, the stage deviation index of the target analysis stage is detected, the stage deviation index = ln (reference key deviation degree × reference key deviation duration parameter), the reference key deviation degree is the average value of the execution parameter deviation degrees of each key execution stage within the dynamic monitoring range of the target analysis stage, the reference key deviation duration parameter is the average value of the deviation duration parameters of each key execution stage within the dynamic monitoring range of the target analysis stage, for a single key execution stage, the execution parameter deviation degree = (preset stage execution parameter - stage execution parameter of the key execution stage) / preset stage execution parameter, the deviation duration parameter is the interval between the start time of the key execution stage and the start time of the deviation correction stage, and the deviation correction stage is the first regular execution stage from the start time of the key execution stage; If the stage deviation index of the target analysis stage is greater than the preset stage deviation index, it is determined that the proportional control index of the estimated analysis stage of the target analysis stage is increased and adjusted. The stage deviation index can effectively indicate that the deviation of the stage execution parameters of the target analysis stage within the dynamic monitoring range is generally poor and the response time for adjustment is also long, indicating that the control effect of the control process for the current working scene is still poor. By further adjusting the proportional control index, the response of the control process is improved. At the same time, in order to avoid overshoot and energy waste caused by excessive adjustment, the differential control index is increased accordingly. The increase value of the proportional control index is positively correlated with the deviation control parameter. The deviation control parameter = the stage deviation index of the target analysis stage / the deviation interference coefficient of the target analysis stage. The deviation interference coefficient is the average of the interval time between the end time of each key analysis stage and the start time of the target analysis stage within the dynamic monitoring range of the target analysis stage. The increase value of the differential control index of the estimated analysis stage is positively correlated with the deviation interference coefficient. The value of the preset stage deviation index can be determined by the user according to the actual working scenario. For example, the user can set it according to the coordinated control record. The higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the smaller the value of the preset stage deviation index. A method for determining the value of the preset stage deviation index is provided, and the coordinated control record for increasing the proportional control index of the estimated analysis stage is recorded as a control reference record. The average value of the stage deviation index of the target analysis stage corresponding to each estimated analysis stage in the control reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset stage deviation index.

[0035] Specifically, if the execution evaluation condition of the control optimization module response is that the stage dynamic index is less than or equal to the preset stage dynamic index, the control execution module determines whether to adjust the differential control index of the estimation analysis stage according to the control floating coefficient; The stable control condition of the control execution module response is that the control floating coefficient of the target analysis phase is greater than the preset control floating coefficient, and then it is determined to reduce the differential control index of the estimation analysis phase according to the control floating coefficient; The reduction value of the differential control index is positively correlated with the control floating coefficient.

[0036] Among them, when the stage dynamic index of the target analysis stage is less than or equal to the preset stage dynamic index, it indicates that the oil temperature control effect of each cooling execution stage within its dynamic monitoring range in the target analysis stage is generally good, that is, the temperature control effect of the cooling lubricating oil caused by the equipment operation load is relatively good. Based on the stability of the temperature control result in the target analysis stage, it is judged whether it is due to the oscillation caused by excessive control. Therefore, the control floating coefficient of the target analysis stage is tested, and it is determined whether the differential control index currently based on it is adjusted according to the control floating coefficient; The control floating coefficient of the target analysis stage , n is the number of times the input oil temperature is determined in the target analysis stage, yi is the measurement result of the input oil temperature of the target cooling device for the i-th time in the target analysis stage, y0 is the average value of the input oil temperature obtained each time in the target analysis stage, the value of the preset control floating coefficient can be determined by the user according to the actual working scenario, for example, the user can set it according to the collaborative control record, the higher the user's requirements for the cooling quality and energy-saving effect of the target cooling device, the larger the value of the preset control floating coefficient, and a method for determining the value of the preset control floating coefficient is provided, and the collaborative control record that reduces the differential control index of the estimated analysis stage according to the control floating coefficient and the stage dynamic coefficient is recorded as a stable reference record, and the average value of the control floating coefficient of the target analysis record corresponding to each estimated analysis stage in the stable reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset control floating coefficient.

[0037] Specifically, the parameter optimization module responds to the second optimization condition, determines the control evaluation coefficient based on the control response index and the execution evaluation index, and determines the evaluation optimization method of the evaluation index standard value according to the control evaluation coefficient; The regulation evaluation coefficient is positively correlated with the regulation response index, and the regulation evaluation coefficient is negatively correlated with the execution evaluation index; The second optimization condition is that the target evaluation module determines to adopt parameter optimization method for the target cooling device to perform oil cooling coordinated control.

[0038] Among them, if the target cooling device is a second-class target cooling device, its cooling control strategy is to use parameter optimization to perform oil cooling collaborative control on the target cooling device in the target optimization stage. Since the operating load of this type of target cooling device is continuously at a low level during the target monitoring period when the cooling control strategy is judged, the interference to the oil temperature control process in the target optimization stage is relatively weak. Therefore, the oil temperature control situation is analyzed during the target monitoring period when the cooling control strategy is judged, that is, the control evaluation coefficient of the target monitoring period when the cooling control strategy is judged is detected, so as to optimize the control process in the target optimization stage. The target monitoring period when judging the cooling control strategy is recorded as the target evaluation period, and the control evaluation coefficient = ln (control response index of the target evaluation period / execution evaluation index of the target evaluation period), the control response index = the number of times the input oil temperature monitored in the target evaluation period is greater than the standard value of the evaluation index / the number of times the input oil temperature is obtained in the target evaluation period, and the execution evaluation index is the average value of the duration of each response execution interval in the target evaluation period. For a single response execution interval, the input oil temperature obtained each time within the corresponding time range is greater than the standard value of the evaluation index, wherein the input oil temperature obtained at the end time of the previous parameter monitoring period of the parameter monitoring period to which the first moment of determining that the input oil temperature is greater than the standard value of the evaluation index belongs is less than or equal to the standard value of the evaluation index, wherein the input oil temperature obtained at the end time of the next parameter monitoring period of the parameter monitoring period to which the last moment of determining that the input oil temperature is greater than the standard value of the evaluation index belongs is less than or equal to the standard value of the evaluation index.

[0039] Specifically, the standard optimization condition responded by the parameter optimization module is that the regulation evaluation coefficient of the target evaluation period is within the first regulation evaluation range, then determining the execution quality coefficient of the target evaluation period according to the execution evaluation index and the execution difference index, and determining the optimization execution mode based on the execution quality coefficient; If the optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is greater than the preset execution quality coefficient, the standard value of the evaluation indicator in the target optimization stage is reduced according to the execution evaluation index; The optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is less than or equal to the preset execution quality coefficient, and the proportional control index in the target optimization stage is increased and adjusted according to the execution quality coefficient.

[0040] Among them, when the control evaluation coefficient of the target evaluation cycle is less than or equal to the first preset control evaluation coefficient, it is determined that the control evaluation coefficient is in the first control evaluation range, indicating that the number of temperature controls on the cooling lubricating oil of the target cooling device within the target evaluation cycle is small and the time required for temperature control is long, which further indicates that the control effect on the oil temperature during the control within the target evaluation cycle is relatively poor, and the input oil temperature cannot be controlled in a timely and effective manner. By analyzing the response execution interval within the target evaluation cycle, it is determined that the existing problems focus on the setting deviation of the standard value of the evaluation index or the deviation response during the control process is poor. The execution quality coefficient = ln (execution evaluation index / execution difference index), and the execution difference index , m is the number of response execution intervals in the target evaluation period, zt is the duration of the t-th response execution interval in the target evaluation period, and z0 is the average duration of each response execution interval in the target evaluation period; The values ​​of the preset execution quality coefficient and the first preset control evaluation coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the collaborative control record. A method for determining the value of the preset execution quality coefficient is provided. The collaborative control record that reduces and adjusts the standard value of the evaluation index in the target optimization stage according to the execution evaluation index is recorded as the execution reference record. The average value of the execution quality coefficient in the execution reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the preset execution quality coefficient. A method for determining the value of the first preset control evaluation coefficient is provided. The collaborative control record that determines the optimized execution mode based on the execution quality coefficient is recorded as the first reference record. The maximum value of the control evaluation coefficient in the first reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the first preset control evaluation coefficient.

[0041] If the execution quality coefficient is greater than the preset execution quality coefficient, it indicates that the time for temperature control within the target evaluation cycle is generally longer and the difference is smaller, indicating that the problems in the response process to temperature anomalies in the control process are relatively small. The main reason for the poor control effect is that the restrictions on the standard value of the evaluation index are relatively broad, resulting in the inability to perform temperature control in time. Therefore, the standard value of the evaluation index is reduced and adjusted. The reduction value of the standard value of the evaluation index is positively correlated with the execution evaluation index. If the execution quality coefficient is less than or equal to the preset execution quality coefficient, it indicates that the time for temperature control within the target evaluation cycle is relatively short or the required time fluctuates greatly. By increasing the proportional control index in the control process of the target optimization stage to improve the response to temperature changes in the actual control process, the increase value of the proportional control index is negatively correlated with the execution quality coefficient.

[0042] Specifically, the standard optimization condition responded by the parameter optimization module is that the control evaluation coefficient of the target evaluation period is within the second control evaluation range, and then it is determined to increase the standard value of the evaluation index based on the control evaluation coefficient; The increase in the standard value of the evaluation index is positively correlated with the regulation response index.

[0043] Among them, when the control evaluation coefficient of the target evaluation cycle is greater than the second preset control evaluation coefficient, it is determined that the control evaluation coefficient is in the second control evaluation range, indicating that the number of temperature controls on the cooling lubricating oil of the target cooling device within the target evaluation cycle is large or the time required for the temperature control process is short, which further indicates that the response to temperature anomalies during the control process within the target evaluation cycle is too frequent and can be processed extremely quickly. There is an optimization range for the standard value of the evaluation index to reduce energy consumption caused by frequent control of the oil temperature. The value of the second preset control evaluation coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the collaborative control record, and provide a method for determining the value of the second preset control evaluation coefficient. The collaborative control record that increases the standard value of the evaluation index based on the control evaluation coefficient is recorded as the second reference record, and the minimum value of the control evaluation coefficient in the second reference record that meets the user's requirements for the cooling quality and energy-saving effect of the target cooling device is recorded as the second preset control evaluation coefficient.

[0044] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0045] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation, characterized in that: include: A target evaluation module is used to determine, based on a load reference value and a load fluctuation index, whether a cooling control strategy of a target cooling device is to adopt a predictive optimization method or a parameter optimization method, so as to perform oil cooling coordinated control on the target cooling device; a control optimization module connected to the target evaluation module and configured to determine, based on the stage dynamic index, a control optimization strategy for each cooling execution stage, such as determining a proportional control index for the estimation analysis stage based on the load interference index and the stage dynamic index, or determining, based on the control floating coefficient, whether to adjust the differential control index for the estimation analysis stage; a control execution module connected to the control optimization module, configured to determine the control index of the estimation and analysis stage according to the control optimization strategy determined by the control optimization module, and to determine whether to adjust the proportional control index of the estimation and analysis stage according to the stage deviation index; a parameter optimization module connected to the target evaluation module, configured to determine an evaluation optimization method based on an evaluation coefficient to optimize the standard value of the evaluation index, such as determining an optimization execution method based on an execution quality coefficient, or adjusting the standard value of the evaluation index based on the evaluation coefficient; The optimization execution method is to adjust the evaluation indicator standard value according to the execution evaluation index, or to adjust the proportion control indicator according to the execution quality coefficient.

2. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 1 is characterized in that: If the target evaluation condition responded by the target evaluation module is that the load reference value of the target cooling device is greater than the preset load reference value or the load floating index is greater than the preset load floating index, it is determined that the oil cooling coordinated control is performed on the target cooling device in a predictive optimization manner; The target evaluation module determines that a target cooling device having a load reference value greater than a preset load reference value or a load floating index greater than a preset load floating index is a type of target cooling device.

3. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 1 is characterized in that: The target evaluation module responds to a target evaluation condition that the load reference value of the target cooling device is less than or equal to the preset load reference value and the load floating index is less than or equal to the preset load floating index, and then determines to adopt a parameter optimization method to perform oil cooling coordinated control on the target cooling device; The target evaluation module determines that a target cooling device having a load reference value less than or equal to a preset load reference value and a load floating index less than or equal to a preset load floating index is a second-category target cooling device.

4. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 2 is characterized in that: The control optimization module responds to the first optimization condition, periodically determines the stage dynamic index of each cooling execution stage according to the stage execution evaluation parameter and the stage regulation index, and determines the control optimization strategy of each cooling execution stage according to the stage dynamic index; The first optimization condition is that the target evaluation module determines to adopt a predictive optimization method to perform oil cooling coordinated control on the target cooling device.

5. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 4 is characterized in that: If the execution evaluation condition of the control optimization module response is that the stage dynamic index is greater than the preset stage dynamic index, the control execution module determines the proportional control index of the estimation and analysis stage according to the load interference index and the stage dynamic index, and determines whether to adjust the proportional control index of the estimation and analysis stage according to the stage deviation index; The proportional control index is positively correlated with the load interference index and the stage dynamic index respectively.

6. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 5 is characterized in that: If the control adjustment condition responsive to the control execution module is that the stage deviation index is greater than a preset stage deviation index, then the control execution module determines to increase the proportional control index of the estimation and analysis stage based on the stage deviation index and the deviation interference coefficient, and to increase the differential control index of the estimation and analysis stage based on the deviation interference coefficient; The increase value of the proportional control index is positively correlated with the stage deviation index and the deviation interference coefficient respectively; The increase value of the differential control index is positively correlated with the deviation interference coefficient.

7. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 6 is characterized in that: If the execution evaluation condition of the control optimization module response is that the stage dynamic index is less than or equal to the preset stage dynamic index, the control execution module determines whether to adjust the differential control index of the estimation analysis stage according to the control floating coefficient; The stable control condition of the control execution module response is that the control floating coefficient of the target analysis phase is greater than the preset control floating coefficient, and then it is determined to reduce the differential control index of the estimation analysis phase according to the control floating coefficient; The reduction value of the differential control index is positively correlated with the control floating coefficient.

8. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 3 is characterized in that: The parameter optimization module responds to the second optimization condition, determines a control evaluation coefficient based on the control response index and the execution evaluation index, and determines an evaluation optimization method for the evaluation index standard value according to the control evaluation coefficient; The regulation evaluation coefficient is positively correlated with the regulation response index, and the regulation evaluation coefficient is negatively correlated with the execution evaluation index; The second optimization condition is that the target evaluation module determines to adopt parameter optimization method for the target cooling device to perform oil cooling coordinated control.

9. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 8 is characterized in that: The standard optimization condition responded by the parameter optimization module is that the regulation evaluation coefficient of the target evaluation period is within the first regulation evaluation range, then determining the execution quality coefficient of the target evaluation period according to the execution evaluation index and the execution difference index, and determining the optimization execution mode based on the execution quality coefficient; If the optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is greater than the preset execution quality coefficient, the standard value of the evaluation indicator in the target optimization stage is reduced according to the execution evaluation index; The optimization execution condition responded by the parameter optimization module is that the execution quality coefficient is less than or equal to the preset execution quality coefficient, and the proportional control index in the target optimization stage is increased and adjusted according to the execution quality coefficient.

10. The energy-saving oil cooling system based on coordinated control of exhaust pressure and oil temperature regulation according to claim 9, characterized in that: The standard optimization condition responded by the parameter optimization module is that the control evaluation coefficient of the target evaluation period is within the second control evaluation range, and then it is determined to increase the standard value of the evaluation index based on the control evaluation coefficient; The increase in the standard value of the evaluation index is positively correlated with the regulation response index.

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