SVG equipment liquid cooling system and control method thereof

Abstract

The invention relates to the technical field of SVG equipment, in particular to an SVG equipment liquid cooling system and a control method thereof. Comprising the steps that a plurality of operation sub-areas are set according to SVG equipment parameters, and circulation sub-loops and cooling sub-modules are arranged in the operation sub-areas; setting a cooling control strategy of each operation sub-region according to a preset operation simulation model, and obtaining a monitoring data packet of each operation sub-region according to a preset feedback time node; generating an operation deviation value of each operation sub-region according to all the monitoring data packets, and judging whether a correction instruction is generated or not according to all the operation deviation values; a plurality of operation sub-regions are constructed based on SVG equipment parameters, an expected heat curve in each operation sub-region is predicted in real time by establishing a simulation sub-model of each operation sub-region, and working parameters of each circulation sub-loop and cooling sub-module are dynamically adjusted, so that the heat dissipation efficiency in the SVG equipment is improved, and safe operation of the SVG equipment is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of SVG devices, and particularly to a liquid cooling system for an SVG device and a control method therefor. Background Art

[0002] As a key device of a small SVG, the working state of an IGBT directly affects the compensation performance of the whole machine. During the operation of the IGBT, losses will inevitably occur and heat will be generated. The temperature change will directly affect the turn-on and turn-off processes of the device and the working performance of the SVG.

[0003] At present, on-site, the SVG room is cooled by adopting an external circulation mode of directly exhausting air outside the machine room. However, this method is greatly affected by external environmental factors such as dust and humidity. Cooling in this way for a long time will cause dust accumulation on the internal circuit board of the SVG. Once the dust accumulation reaches a certain level, it will cause short circuits in some parts, resulting in the shutdown of the SVG. Summary of the Invention

[0004] The purpose of the present application is: to solve the above technical problems, the present application provides a liquid cooling system for an SVG device and a control method therefor, aiming to improve the heat dissipation effect of the SVG device and ensure the operation efficiency of the SVG device.

[0005] In some embodiments of the present application, multiple operating sub-regions are constructed based on the SVG device parameters, and the expected heat curves in each operating sub-region are predicted in real time by establishing simulation sub-models for each operating sub-region, and the working parameters of each circulation sub-loop and cooling sub-module are dynamically adjusted, so as to improve the heat dissipation efficiency inside the SVG device and ensure the safe operation of the SVG device.

[0006] In some embodiments of the present application, the operation deviation values of each operating sub-region are generated weekly based on the real-time cooling control strategy. The heat dissipation states of each operating sub-region are monitored periodically, and the operating sub-regions with abnormal heat dissipation are adjusted in time to ensure the overall heat dissipation efficiency of the SVG device and avoid interference with heat dissipation due to potential failure risks.

[0007] In some embodiments of the present application, a control method for a liquid cooling system of an SVG device is provided, including: Setting multiple operating sub-regions according to the SVG device parameters, and a circulation sub-loop and a cooling sub-module are arranged in each operating sub-region; Setting the cooling control strategy for each operating sub-region according to a preset operation simulation model, and obtaining the monitoring data packets of each operating sub-region according to a preset feedback time node; Generating the operation deviation value of each operating sub-region according to all the monitoring data packets, and judging whether to generate a correction instruction according to all the operation deviation values; Among them, when setting multiple operation sub - regions, it includes: Establish an operation sub - region sequence A, A=(a1, a2…a i …a n ), where a i is the i - th operation sub - region; n is the number of operation sub - regions.

[0008] In some embodiments of the present application, when presetting an operation simulation model, it includes: Set a i as the target sub - region in sequence according to the operation sub - region sequence A; Generate a training data packet according to the historical operation parameters of the target sub - region; Construct a simulation sub - model of the target sub - region according to the training data packet; Construct simulation sub - models of each operation sub - region in sequence; Construct an association sub - model according to the position parameters of all operation sub - regions; Generate an operation simulation model according to all simulation sub - models and the association sub - model.

[0009] In some embodiments of the present application, when setting the cooling control strategy for each operation sub - region, it includes: Preset an adjustment period; Obtain the expected work plan for the current adjustment period; Generate the expected heat curves of each operation sub - region in sequence according to the expected work plan and the operation simulation model; Set the circulation volume intervals of each operation sub - region based on the expected heat curves, and set multiple primary sub - strategies according to all circulation volume intervals; Establish a primary sub - strategy sequence B, B=(b1, b2…b i …b m ), where b i is the i - th primary sub - strategy; m is the number of primary sub - strategies; Generate the heat dissipation evaluation values of each primary sub - strategy in sequence, and establish a heat dissipation evaluation value sequence P, P=(p1, p2…p i …p m ), where p i is the heat dissipation evaluation value of the i - th primary sub - strategy; Set the primary sub - strategy corresponding to the maximum value p max in the heat dissipation evaluation value sequence P as the cooling control plan.

[0010] In some embodiments of the present application, when generating the heat dissipation evaluation values of each primary sub - strategy in sequence, it includes: Set b i as the target sub - strategy in sequence according to the primary sub - strategy sequence B; Generate the heat dissipation evaluation value p of the target sub-strategy; p = e1 * Q1 * j i + e2 * Q2 * β 1i * k i ; ji = β 2r * w ir ; Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; j i is the operation evaluation value of the i-th operation sub-region; 1 is the number of policy evaluation indicators; β 1i is the influence factor of the i-th policy evaluation indicator; k i is the reference value of the i-th policy evaluation indicator generated based on the target sub-strategy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-strategy.

[0011] In some embodiments of the present application, when generating the operation deviation value of each operation sub-region according to all monitoring data packets, it includes: Set multiple monitoring indicators based on the cooling control strategy; Obtain the monitoring data packets of each operation sub-region at the current feedback time node; Set b i as the sub-region to be evaluated according to the operation sub-region sequence B; Generate the operation deviation value f of the sub-region to be evaluated at the current feedback time node according to all monitoring data packets; Generate the operation deviation values of each operation sub-region at the current feedback time node in sequence; Establish the operation deviation value sequence F at the current feedback time node, F = (f1, f2... f i ... f n ), where f i is the operation deviation value of the i-th operation sub-region at the current feedback time node.

[0012] In some embodiments of the present application, when generating the operation deviation value f of the sub-region to be evaluated at the current feedback time node, it includes: f = e3 * Q3 * η i * (d i - d' i )2 +e4*Q4* µ i *h i ; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packet of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h i is the reference value of the i-th auxiliary disturbance indicator in the sub-region to be evaluated generated based on the associated sub-model and all monitoring data packets.

[0013] In some embodiments of the present application, when judging whether to generate a correction instruction according to all the operation deviation values, it includes: Preset the operation deviation value threshold f'; If fi > f', a first-level correction instruction for the i-th operation sub-region is generated at the current feedback time node; Generate a correction evaluation value c according to the operation deviation value sequence F; c = e5*Q5* f i +e6*Q6* Y(i)*(f i -f')]; Among them, e5 is a preset fifth weight coefficient; e6 is a preset sixth weight coefficient; Q5 is a preset fifth fixed coefficient; Q6 is a preset sixth fixed coefficient; Y(i) is a selection coefficient; if (f i -f') > 0; Y(i) = 1 / (f i -f'); if (f i -f') < 0; Y(i) = 0; f' is the preset operation deviation value threshold; n is the number of operation sub-regions; Preset the correction evaluation value threshold C1; If c > C1, a second-level correction instruction is generated at the current feedback time node.

[0014] In some embodiments of the present application, a liquid cooling system for an SVG device is provided, including: A central control unit for setting multiple operation sub-regions according to the device parameters of the SVG; A cooling unit including a plurality of cooling sub-modules, and the cooling sub-modules are arranged in each operation sub-region; A circulation unit, including a driving sub-module and a plurality of circulation sub-circuits, where the circulation sub-circuits are arranged in each operating sub-region; The circulation sub-circuit is used for the circulating flow of the coolant; A monitoring unit, configured to collect monitoring data packets of each operating sub-region; The central control unit includes: A first processing module, configured to establish a sequence A of operating sub-regions, A = (a1, a2... ai... an), where ai is the i-th operating sub-region; n is the number of operating sub-regions; A second processing module, configured to establish an operation simulation model and set a cooling control strategy for each operating sub-region according to the operation simulation model; A third processing module, configured to obtain monitoring data packets of each operating sub-region at a preset feedback time node and generate an operation deviation value for each operating sub-region; A correction module, configured to determine whether to generate a correction instruction according to all the operation deviation values.

[0015] In some embodiments of the present application, the second processing module is further configured to: Preset an adjustment period; Obtain an expected work plan for the current adjustment period; Generate an expected heat curve for each operating sub-region in sequence according to the expected work plan and the operation simulation model; Set a circulation volume interval for each operating sub-region based on the expected heat curve, and set a plurality of first-level sub-strategies according to all the circulation volume intervals; Establish a sequence B of first-level sub-strategies, B = (b1, b2... b i …b m ), where b i is the i-th first-level sub-strategy; m is the number of first-level sub-strategies; Set b i as the target sub-strategy in sequence according to the sequence B of first-level sub-strategies; Generate a heat dissipation evaluation value p of the target sub-strategy; p = e1 * Q1 * j i +e2 * Q2 * β 1i *k i ; ji = β 2r *w ir ; Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; j iis the operation evaluation value of the i-th operation sub-region; 1 is the number of policy evaluation indicators; β 1i is the influence factor of the i-th policy evaluation indicator; k i is the reference value of the i-th policy evaluation indicator generated based on the target sub-policy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-policy; Generate the heat dissipation evaluation values of each first-level sub-policy in sequence, and establish a heat dissipation evaluation value sequence P, P = (p1, p2…p i …p m ), where p i is the heat dissipation evaluation value of the i-th first-level sub-policy; Set the first-level sub-policy corresponding to the maximum value p max in the heat dissipation evaluation value sequence P as the cooling control plan.

[0016] In some embodiments of the present application, the third processing module is further configured to: Set multiple monitoring indicators based on the cooling control strategy; Obtain the monitoring data packets of each operation sub-region at the current feedback time node; Set b i as the sub-region to be evaluated in sequence according to the operation sub-region sequence B; Generate the operation deviation value f of the sub-region to be evaluated at the current feedback time node according to all the monitoring data packets; f = e3 * Q3 * η i *(d i - d' i ) 2 + e4 * Q4 * µ i * h i ; where, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packet of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h iis the reference value of the i-th auxiliary disturbance index in the sub-region to be evaluated generated based on the associated sub-model and all monitored data packets; Successively generate the operation deviation values of each operation sub-region at the current feedback time node; Establish a sequence F of operation deviation values at the current feedback time node, F = (f1, f2... f i ... f n ), where f i is the operation deviation value of the i-th operation sub-region at the current feedback time node.

[0017] Compared with the prior art, the SVG device liquid cooling system and its control method in an embodiment of the present application have the beneficial effects that: Construct multiple operation sub-regions based on SVG device parameters, and by establishing simulation sub-models of each operation sub-region, predict the expected heat curves in each operation sub-region in real time, and dynamically adjust the working parameters of each circulation sub-loop and cooling sub-module, thereby improving the heat dissipation efficiency inside the SVG device and ensuring the safe operation of the SVG device.

[0018] Generate the operation deviation values of each operation sub-region based on the real-time cooling control strategy cycle. Realize the periodic monitoring of the heat dissipation status of each operation sub-region, and timely adjust the operation sub-regions with abnormal heat dissipation to ensure the overall heat dissipation efficiency of the SVG device and avoid interference with heat dissipation due to potential failure risks. Description of the Drawings

[0019] Figure 1 is a schematic flowchart of a control method for an SVG device liquid cooling system in a preferred embodiment of an embodiment of the present application. Detailed Embodiments

[0020] The following combines the drawings and embodiments to further describe in detail the specific embodiments of the present application. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0021] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, "a plurality of" means two or more.

[0023] In the description of this application, it should be noted that, unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0024] As Figure 1 shown, a control method for a liquid cooling system of an SVG device in a preferred embodiment of an embodiment of this application includes; S101: Set a plurality of operating sub-regions according to SVG device parameters. A circulation sub-loop and a cooling sub-module are provided in the operating sub-region; S102: Set the cooling control strategy for each operating sub-region according to a preset operating simulation model, and obtain the monitoring data packets of each operating sub-region according to a preset feedback time node; S103: Generate an operating deviation value for each operating sub-region according to all the monitoring data packets, and determine whether to generate a correction instruction according to all the operating deviation values; Among them, when setting a plurality of operating sub-regions, it includes: Establish an operating sub-region sequence A, A = (a1, a2... a i …a n ), where a i is the i-th operating sub-region; n is the number of operating sub-regions.

[0025] Specifically, divide the internal space of the SVG device according to the SVG device parameters, so as to construct a plurality of operating sub-regions. Heat will be generated in each of the operating sub-regions, and a single circulation sub-loop and a cooling sub-module are provided in each of the operating sub-regions.

[0026] Specifically, a coolant is provided in the circulation sub-loop. The coolant is preferably ionized water or ethylene glycol solution to ensure efficient heat dissipation and not easy to corrode. And two driving motors are provided in a single circulation sub-loop, and redundant setting can be used for real-time switching when a single driving motor fails, so as to ensure the working efficiency of the circulation sub-loop.

[0027] Specifically, the cooling sub-module is preferably a plurality of fans. Through redundant setting, when a single fan fails, it can be switched in time. Specifically, when presetting the operation simulation model, it includes: Set a i as the target sub-region according to the operation sub-region sequence A in turn; Generate a training data packet according to the historical operation parameters of the target sub-region; Construct a simulation sub-model of the target sub-region according to the training data packet; Construct the simulation sub-models of each operation sub-region in turn; Construct an association sub-model according to the position parameters of all operation sub-regions; Generate an operation simulation model according to all simulation sub-models and association sub-models.

[0028] Specifically, the historical operation parameter is a mapping table between the operation state and the heat generation amount of the SVG device. The heat generation amount parameter of the target sub-region is in the training data packet. By iteratively training the training data packet, a simulation sub-model of the target sub-region is constructed, and its simulation sub-model can predict the expected heat generation amount of the target sub-region according to the expected operation parameters of the SVG device.

[0029] Specifically, according to the position parameters of each operation sub-region combined with the heat diffusion parameter, the association relationship between each operation sub-region is constructed, and an association sub-model is constructed according to all association relationships. If the association degree between two operation sub-regions is greater, it means that the heat interaction flow between the two operation sub-regions is more frequent.

[0030] It can be understood that in the above embodiments, by establishing an operation simulation model to predict and analyze the expected heat generation amount inside the SVG device, the control efficiency of the regulation circulation sub-loop and the cooling sub-module is improved, thereby ensuring the overall heat dissipation efficiency.

[0031] In the preferred embodiment of the present application, when setting the cooling control strategy for each operation sub-region, it includes: Preset the adjustment period; Obtain the expected work plan for the current adjustment period; Generate the expected heat curves of each operation sub-region in turn according to the expected work plan and the operation simulation model; Based on the expected heat curves, set the circulation amount intervals of each operation sub-region, and set a plurality of first-level sub-strategies according to all circulation amount intervals; Establish a first-level sub-strategy sequence B, B=(b1, b2…b i …b m ), where b i is the i-th first-level sub-strategy; m is the number of first-level sub-strategies; Generate the heat dissipation evaluation values of each first-level sub-strategy in sequence, and establish a sequence P of heat dissipation evaluation values, P = (p1, p2…p i …p m )), where p i is the heat dissipation evaluation value of the i-th first-level sub-strategy; Set the first-level sub-strategy corresponding to the maximum value p max in the sequence P of heat dissipation evaluation values as the cooling control plan.

[0032] Specifically, the duration of the adjustment period can be set according to the SVG device parameters, and its duration is preferably one hour.

[0033] Specifically, the larger the heat dissipation evaluation value, the greater the comprehensive heat dissipation benefit of the corresponding first-level sub-strategy, and the higher the feasibility.

[0034] Specifically, based on the working parameters of the circulating sub-circuits in each operating sub-region (parameters such as the cumulative operating duration, the load capacity of the drive circuit, and the failure frequency of the circuit), set the maximum circulating amount of the coolant in each circulating sub-circuit. The better its working state, the larger the corresponding maximum circulating amount. Construct a circulating amount-heat absorption mapping table according to historical parameters, and thus set the minimum circulating amount of the coolant in each circulating sub-circuit according to the expected heat curve. Construct a circulating amount interval based on the minimum circulating amount and the maximum circulating amount.

[0035] Specifically, the circulating amount refers to the flow rate of the coolant flowing into the circulating sub-circuit per unit time, and the flow rate of the coolant needs to be kept stable within a single adjustment period.

[0036] Specifically, set a unit circulating amount, and the circulating amount of the coolant in each circulating sub-circuit is an integer multiple of the unit circulating amount. According to the unit circulating amount and the corresponding circulating amount intervals of each operating sub-region, generate multiple first-level sub-strategies by the exhaustive method.

[0037] Specifically, each first-level sub-strategy includes the circulating amount of the coolant in each circulating sub-circuit in the current adjustment period.

[0038] The first-level sub-strategy also includes a cooling sub-module plan to be turned on set after analyzing the coolant flow rates of each circulating sub-circuit. By turning on some cooling sub-modules, the heat diffusion trend inside the SVG device is changed, so as to ensure the overall heat dissipation efficiency inside the SVG device and avoid local overheating problems.

[0039] Specifically, when generating the heat dissipation evaluation values of each first-level sub-strategy in sequence, it includes: Set b i as the target sub-strategy according to the sequence B of first-level sub-strategies in sequence; Generate the heat dissipation evaluation value p of the target sub-strategy; p = e1 * Q1 * j i + e2 * Q2 * β 1i * k i ; ji = β 2r * w ir ; Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; j i is the operation evaluation value of the i-th operation sub-region; 1 is the number of policy evaluation indicators; β 1i is the influence factor of the i-th policy evaluation indicator; k i is the reference value of the i-th policy evaluation indicator generated based on the target sub-policy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-policy.

[0040] Specifically, the operation indicators include, but are not limited to, multiple parameters such as the expected operation temperature of the operation sub-region, the heat dissipation efficiency of the operation sub-region, and the heat dissipation cost of the operation sub-region (the operation cost of the fan and the operation cost of the circulating sub-loop). The larger the operation evaluation value, the more stable the operation in the current operation sub-region and the lower the overall operation and maintenance cost.

[0041] Specifically, the policy evaluation indicators include, but are not limited to, multiple parameters such as the temperature uniformity inside the device, the overall heat dissipation, the overall operation and maintenance cost, the potential failure probability, and the amount of standby equipment.

[0042] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient and the second fixed coefficient, so that all parameters in the model are in the same value range.

[0043] It can be understood that in the above embodiments, multiple operation sub-regions are constructed based on SVG device parameters, and the expected heat curve in each operation sub-region is predicted in real time by establishing a simulation sub-model for each operation sub-region, and the working parameters of each circulating sub-loop and cooling sub-module are dynamically adjusted, so as to improve the heat dissipation efficiency inside the SVG device and ensure the safe operation of the SVG device.

[0044] In the preferred embodiment of the present application, when generating the operation deviation value of each operation sub-region according to all monitoring data packets, it includes: Setting multiple monitoring indicators based on the cooling control strategy; Obtain the monitoring data packets of each operating sub-region at the current feedback time node; Set b in sequence according to the operating sub-region sequence B i as the sub-region to be evaluated; Generate the operation deviation value f of the sub-region to be evaluated at the current feedback time node according to all the monitoring data packets; Generate the operation deviation values of each operating sub-region at the current feedback time node in sequence; Establish the operation deviation value sequence F at the current feedback time node, F = (f1, f2... f i ... f n ), where f i is the operation deviation value of the i-th operating sub-region at the current feedback time node.

[0045] Specifically, when generating the operation deviation value f of the sub-region to be evaluated at the current feedback time node, it includes: f = e3 * Q3 * η i *(d i - d' i ) 2 + e4 * Q4 * µ i * h i ; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packets of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h i is the reference value of the i-th auxiliary disturbance indicator in the sub-region to be evaluated generated based on the associated sub-model and all the monitoring data packets.

[0046] Specifically, the monitoring indicators include, but are not limited to, parameters such as the temperature value of the sub-region to be evaluated, the circulation volume in the circulation sub-loop, and the operating status of the cooling sub-module in the sub-region to be evaluated.

[0047] Specifically, the auxiliary disturbance indicators include, but are not limited to, parameters such as the average temperature inside the equipment and the operation deviation values of the relevant operating sub-regions having an associated relationship with the sub-region to be evaluated.

[0048] Specifically, the larger the operation deviation value is, the greater the deviation between the actual heat dissipation effect and the expected heat dissipation effect in the sub-region to be evaluated. It is necessary to adjust it in time to avoid affecting the safe operation of the SVG device due to poor heat dissipation.

[0049] Specifically, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter in the model is within the same value range.

[0050] Specifically, when judging whether to generate a correction instruction according to all operation deviation values, it includes: Presetting an operation deviation value threshold f'; If fi > f', a first-level correction instruction for the i-th operation sub-region is generated at the current feedback time node; Generating a correction evaluation value c according to the operation deviation value sequence F; c = e5 * Q5 * f i + e6 * Q6 * Y(i) * (f i - f')]; Among them, e5 is a preset fifth weight coefficient; e6 is a preset sixth weight coefficient; Q5 is a preset fifth fixed coefficient; Q6 is a preset sixth fixed coefficient; Y(i) is a selection coefficient; if (f i - f') > 0; Y(i) = 1 / (f i - f'); if (f i - f') < 0; Y(i) = 0; f' is a preset operation deviation value threshold; n is the number of operation sub-regions; Presetting a correction evaluation value threshold C1; If c > C1, a second-level correction instruction is generated at the current feedback time node.

[0051] Specifically, all parameters in the model are normalized by presetting the fifth fixed coefficient and the sixth fixed coefficient, so that each parameter in the model is within the same value range.

[0052] Specifically, the first-level correction instruction means that by adjusting the circulation volume of the circulation sub-loop and the working parameters of the cooling sub-module in the sub-region to be evaluated, its heat dissipation capacity is increased to avoid overheating problems in the sub-region to be evaluated.

[0053] Specifically, the second-level correction instruction means that the current cooling control strategy is corrected as a whole to ensure its overall heat dissipation effect.

[0054] It can be understood that in the above embodiments, the operation deviation values of each operation sub-region are generated based on the real-time cooling control strategy. Periodic monitoring of the heat dissipation status of each operation sub-region is realized, and the operation sub-regions with abnormal heat dissipation are adjusted in time to ensure the overall heat dissipation efficiency of the SVG device and avoid interference with heat dissipation due to potential failure risks.

[0055] Based on another preferred embodiment of the control method for the liquid cooling system of an SVG device in any of the above preferred embodiments, in this preferred embodiment, a liquid cooling system for an SVG device is provided, including: A central control unit for setting multiple operation sub-regions according to the device parameters of the SVG; A cooling unit including multiple cooling sub-modules, and the cooling sub-modules are arranged in each operation sub-region; A circulation unit including a driving sub-module and multiple circulation sub-circuits, and the circulation sub-circuits are arranged in each operation sub-region; The circulation sub-circuit is used for the circulating flow of the coolant; A monitoring unit for collecting monitoring data packets of each operation sub-region; Specifically, the monitoring unit is preferably various types of sensors for collecting various types of data to be monitored.

[0056] The central control unit includes: A first processing module for establishing an operation sub-region sequence A, A = (a1, a2... ai... an), where ai is the i-th operation sub-region; n is the number of operation sub-regions; A second processing module for establishing an operation simulation model and setting the cooling control strategy for each operation sub-region according to the operation simulation model; A third processing module for presetting a feedback time node to obtain the monitoring data packets of each operation sub-region and generating the operation deviation values of each operation sub-region; A correction module for judging whether to generate a correction instruction according to all the operation deviation values.

[0057] In the preferred embodiment of the present application, the second processing module is further used for: Presetting an adjustment period; Obtaining the expected work plan for the current adjustment period; Generating the expected heat curves of each operation sub-region in sequence according to the expected work plan and the operation simulation model; Setting the circulation volume intervals of each operation sub-region based on the expected heat curves, and setting multiple first-level sub-strategies according to all the circulation volume intervals; Establishing a first-level sub-strategy sequence B, B = (b1, b2... b i …b m )), where b iis the i-th first-level sub-strategy; m is the number of first-level sub-strategies; Set b successively according to the first-level sub-strategy sequence B i as the target sub-strategy; Generate the heat dissipation evaluation value p of the target sub-strategy; p = e1 * Q1 * j i + e2 * Q2 * β 1i * k i ; ji = β 2r * w ir ; where, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; j i is the operation evaluation value of the i-th operation sub-region; 1 is the number of strategy evaluation indicators; β 1i is the influence factor of the i-th strategy evaluation indicator; k i is the reference value of the i-th strategy evaluation indicator generated based on the target sub-strategy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-strategy; Generate the heat dissipation evaluation values of each first-level sub-strategy in turn, and establish a heat dissipation evaluation value sequence P, P = (p1, p2…p i …p m ), where, p i is the heat dissipation evaluation value of the i-th first-level sub-strategy; Set the maximum value p in the heat dissipation evaluation value sequence P max The corresponding first-level sub-strategy is the cooling control plan.

[0058] In the preferred embodiment of the present application, the third processing module is further configured to: Set multiple monitoring indicators based on the cooling control strategy; Obtain the monitoring data packets of each operation sub-region at the current feedback time node; Set b successively according to the operation sub-region sequence B i as the sub-region to be evaluated; Generate the operation deviation value f of the sub-region to be evaluated at the current feedback time node according to all the monitoring data packets; f = e3 * Q3 * η i *(d i - d'i ) 2 +e4*Q4* µ i *h i ; wherein, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packet of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h i is the reference value of the i-th auxiliary disturbance indicator in the sub-region to be evaluated generated based on the associated sub-model and all monitoring data packets; Generate the operation deviation values of each operation sub-region at the current feedback time node in sequence; Establish a sequence F of operation deviation values at the current feedback time node, F=(f1, f2…f i …f n ), where f i is the operation deviation value of the i-th operation sub-region at the current feedback time node.

[0059] According to the first concept of the present application, multiple operation sub-regions are constructed based on SVG device parameters, and the expected heat curves in each operation sub-region are predicted in real time by establishing simulation sub-models of each operation sub-region, and the working parameters of each circulation sub-loop and cooling sub-module are dynamically adjusted, so as to improve the heat dissipation efficiency inside the SVG device and ensure the safe operation of the SVG device.

[0060] According to the second concept of the present application, the operation deviation values of each operation sub-region are generated based on the real-time cooling control strategy cycle. The periodic monitoring of the heat dissipation states of each operation sub-region is realized, and the operation sub-regions with abnormal heat dissipation are adjusted in time to ensure the overall heat dissipation efficiency of the SVG device and avoid interference with heat dissipation due to potential failure risks.

[0061] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and replacements can still be made, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A control method for a liquid cooling system of an SVG device, characterized in that, including; Setting multiple operating sub - regions according to SVG device parameters, where a circulation sub - loop and a cooling sub - module are arranged within the operating sub - regions; Setting the cooling control strategies for each operating sub - region according to a preset operating simulation model, and obtaining the monitoring data packets for each operating sub - region according to the preset feedback time nodes; Generating the operating deviation values for each operating sub - region based on all the monitoring data packets, and judging whether to generate a correction instruction according to all the operating deviation values; Among them, when setting multiple operating sub - regions, it includes: Establish a sequence of operating sub-regions \(A\), \(A=(a_1,a_2,\cdots,a i \cdots a n ), where \(a i \) is the \(i\)-th operating sub-region; \(n\) is the number of operating sub-regions.

2. The control method of the liquid cooling system of the SVG device according to claim 1, wherein When presetting the operating simulation model, it includes: Set a according to the operation sub-region sequence A in turn i as the target sub-region; Generating training data packets according to the historical operating parameters of the target sub - region; Constructing a simulation sub - model for the target sub - region based on the training data packets; Successively constructing the simulation sub - models for each operating sub - region; Constructing an associated sub - model according to the position parameters of all the operating sub - regions; Generating an operating simulation model based on all the simulation sub - models and the associated sub - model.

3. The control method of the liquid cooling system of the SVG device according to claim 2, wherein, When setting the cooling control strategies for each operating sub - region, it includes: Presetting an adjustment period; Obtaining the expected work plan for the current adjustment period; Successively generating the expected heat curves for each operating sub - region according to the expected work plan and the operating simulation model; Setting the circulation volume intervals for each operating sub - region based on the expected heat curves, and setting multiple first - level sub - strategies according to all the circulation volume intervals; Establish a first-level sub-strategy sequence B, B = (b1, b2…b i …b m ), where b i is the i-th first-level sub-strategy; m is the number of first-level sub-strategies; Generate the heat dissipation evaluation values of each first-level sub-strategy in sequence, and establish a sequence P of heat dissipation evaluation values, P = (p1, p2…p i …p m ), where p i is the heat dissipation evaluation value of the i-th first-level sub-strategy; Set the maximum value p in the heat dissipation evaluation value sequence P max The corresponding first-level sub-strategy is the cooling control plan.

4. The control method of the SVG device liquid cooling system according to claim 3, characterized in that, When successively generating the heat dissipation evaluation values for each first - level sub - strategy, it includes: Set b according to the first-level sub-strategy sequence B in turn i as the target sub-strategy; Generating the heat dissipation evaluation value p of the target sub - strategy; p = e1 * Q1 * j i + e2 * Q2 * β 1i * k i ; ji= β 2r *w ir ; Among them, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; j i is the operation evaluation value of the i-th operation sub-region; 1 is the number of policy evaluation indicators; β 1i is the influence factor of the i-th policy evaluation indicator; k i is the reference value of the i-th policy evaluation indicator generated based on the target sub-policy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-policy.

5. The control method of the SVG device liquid cooling system according to claim 4, characterized in that, When generating the operating deviation values for each operating sub - region based on all the monitoring data packets, it includes: Setting multiple monitoring indicators based on the cooling control strategy; Obtaining the monitoring data packets for each operating sub - region at the current feedback time node; Set b successively according to the operation sub-region sequence B i as the sub-region to be evaluated; Generating the operating deviation value f of the sub - region to be evaluated at the current feedback time node based on all the monitoring data packets; Successively generating the operating deviation values for each operating sub - region at the current feedback time node; Establish a sequence of operation deviation values F for the current feedback time node, F = (f1, f2... f i … f n ), where f i is the operation deviation value of the i-th operation sub-region at the current feedback time node.

6. The control method of the liquid cooling system of the SVG device according to claim 5, characterized in that, When generating the operating deviation value f of the sub - region to be evaluated at the current feedback time node, it includes: f = e3 * Q3 * η i *(d i - d' i ) 2 +e4 * Q4 * µ i *h i ; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packet of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h i is the reference value of the i-th auxiliary disturbance indicator in the sub-region to be evaluated generated based on the associated sub-model and all monitoring data packets.

7. The control method of the SVG device liquid cooling system according to claim 6, characterized in that, When judging whether to generate a correction instruction according to all the operating deviation values, it includes: Presetting an operating deviation value threshold f'; If fi > f', generating a first - level correction instruction for the i - th operating sub - region at the current feedback time node; Generating a correction evaluation value c based on the sequence of operating deviation values F; c = e5*Q5* f i +e6*Q6* Y(i)*(f i -f'); Among them, e5 is a preset fifth weight coefficient; e6 is a preset sixth weight coefficient; Q5 is a preset fifth fixed coefficient; Q6 is a preset sixth fixed coefficient; Y(i) is a selection coefficient; if (f i - f') > 0; Y(i) = 1 / (f i - f'); if (f i - f') < 0; Y(i) = 0; f' is a preset operation deviation value threshold; n is the number of operation sub-regions; Presetting a correction evaluation value threshold C1; If c > C1, generating a second - level correction instruction at the current feedback time node.

8. An SVG device liquid cooling system, adopting the control method of the SVG device liquid cooling system according to any one of the above claims 1-7, characterized in that, including: A central control unit for setting multiple operating sub - regions according to the device parameters of the SVG; A cooling unit including multiple cooling sub - modules, and the cooling sub - modules are arranged within each operating sub - region; A circulation unit including a driving sub - module and multiple circulation sub - loops, and the circulation sub - loops are arranged within each operating sub - region; The circulation sub - loop is used for the circulating flow of the coolant; A monitoring unit for collecting the monitoring data packets of each operating sub - region; The central control unit includes: A first processing module for establishing a sequence of operating sub - regions A, A=(a1, a2…ai…an), where ai is the i - th operating sub - region; n is the number of operating sub - regions; A second processing module for establishing an operating simulation model and setting the cooling control strategies for each operating sub - region according to the operating simulation model; The third processing module is used to obtain the monitoring data packets of each operating sub-region at the preset feedback time nodes and generate the operation deviation values of each operating sub-region; The correction module is used to determine whether to generate a correction instruction according to all the operation deviation values.

9. The SVG device liquid cooling system according to claim 8, characterized in that, The second processing module is further used for: Presetting an adjustment period; Obtaining the expected work plan for the current adjustment period; Successively generating the expected heat curves of each operating sub-region according to the expected work plan and the operation simulation model; Setting the circulation volume intervals of each operating sub-region based on the expected heat curves, and setting multiple first-level sub-strategies according to all the circulation volume intervals; Establish a first-level sub-strategy sequence B, B = (b1, b2... b i …b m ), where b i is the i-th first-level sub-strategy; m is the number of first-level sub-strategies; Set b according to the first-level sub-strategy sequence B in turn i as the target sub-strategy; Generating the heat dissipation evaluation value p of the target sub-strategy; p = e1 * Q1 * j i + e2 * Q2 * β 1i * k i ; ji= β 2r *w ir ; Among them, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; j i is the operation evaluation value of the i-th operation sub-region; 1 is the number of policy evaluation indicators; β 1i is the influence factor of the i-th policy evaluation indicator; k i is the reference value of the i-th policy evaluation indicator generated based on the target sub-policy; 2 is the number of operation indicators; β 2r is the influence factor of the r-th operation indicator; w ir is the reference value of the r-th operation indicator in the i-th operation sub-region generated based on the target sub-policy; Generate the heat dissipation evaluation values of each first-level sub-strategy in sequence, and establish a sequence P of heat dissipation evaluation values, P = (p1, p2…p i …p m ), where p i is the heat dissipation evaluation value of the i-th first-level sub-strategy; Set the maximum value p in the heat dissipation evaluation value sequence P max The corresponding first-level sub-strategy is the cooling control plan.

10. The SVG device liquid cooling system according to claim 9, characterized in that, The third processing module is further used for: Setting multiple monitoring indicators based on the cooling control strategy; Obtaining the monitoring data packets of each operating sub-region at the current feedback time node; Set b successively according to the operation sub-region sequence B i as the sub-region to be evaluated; Generating the operation deviation value f of the sub-region to be evaluated at the current feedback time node according to all the monitoring data packets; f = e3 * Q3 * η i *(d i - d' i ) 2 + e4 * Q4 * µ i * h i ; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θ3 is the number of monitoring indicators; η i is the influence factor of the i-th monitoring indicator; d i is the reference value of the i-th monitoring indicator generated based on the monitoring data packet of the sub-region to be evaluated; d' i is the standard reference value of the i-th monitoring indicator of the sub-region to be evaluated set based on the cooling control strategy; θ4 is the number of auxiliary disturbance indicators; µ i is the influence factor of the i-th auxiliary disturbance indicator; h i is the reference value of the i-th auxiliary disturbance indicator in the sub-region to be evaluated generated based on the associated sub-model and all monitoring data packets; Successively generating the operation deviation values of each operating sub-region at the current feedback time node; Establish a sequence of operation deviation values F for the current feedback time node, F = (f1, f2... f i … f n ), where f i is the operation deviation value of the i-th operation sub-region at the current feedback time node.

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