Comprehensive energy allocation method for power supply and heat exchange of ammonia system for computing power center

Abstract

The present invention discloses a comprehensive energy allocation method for supplying power and heat exchange to an ammonia system of a computing power center, relates to the technical field of comprehensive energy allocation, and solves the technical problem in the prior art that the power supply system and temperature control system equipped in a data center cannot be set and regulated according to the real-time instruction execution requirements of the data center. Specifically, the method comprises the following steps: power supply detection is performed on the power supply end, the operation period of the receiving end is obtained according to time collection, and the supply safety period and supply risk period of the power supply end are collected according to the operation period analysis; and the power risk period and power safety period of the receiving end are collected according to the time period analysis, and energy supply detection is performed according to the overlap analysis of the period types; real-time parameter detection is performed on the receiving end, the update data and growth data of the receiving end are collected, and a parameter adjustment signal or a parameter satisfaction signal is generated according to the data analysis, and sent to the allocation center.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive energy allocation, and specifically to a comprehensive energy allocation method for supplying power and heat exchange to an ammonia system of a computing power center. Background Art

[0002] With the innovative development of technologies such as artificial intelligence, cloud computing, big data, and blockchain, the 5G communication era characterized by high speed, low latency, and large connections has arrived. As information infrastructure, data centers and communication equipment are responsible for an increasing amount of computing, and the requirements for computing efficiency are also getting higher and higher. In order to meet the challenges of network processing performance, data center servers and communication equipment are constantly improving their processing capabilities and integration, resulting in a steady increase in power density. Among them, the most common cooling methods are single-phase liquid cooling + two-phase liquid cooling combined cooling of computing centers. One-way liquid cooling is a liquid cooling immersion method for the heating elements of the computing center, and the coolant absorbs heat without phase change. Two-phase liquid cooling is when ammonia generates electricity, it changes from liquid to gas, and absorbs heat for cooling after phase change. Ammonia is produced from renewable energy.

[0003] However, in the prior art, the performance of the power supply system and the temperature control system cannot be monitored during the operation of the data center, so that the power supply efficiency and the temperature control efficiency cannot be guaranteed during operation. In addition, the power supply system and the temperature control system equipped in the data center cannot be set and regulated according to the real-time instruction execution requirements of the data center, which reduces the operational stability of the data center.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a comprehensive energy allocation method for supplying power and heat exchange to the ammonia system of the computing power center.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] The comprehensive energy allocation method for supplying power and heat exchange to the ammonia system of the computing power center. The specific steps of the comprehensive energy allocation method are as follows:

[0008] Step 1: Energy supply detection: perform power supply detection on the energy supply end, obtain the operating period of the receiving end according to the time collection, and analyze and collect the supply safety period and supply risk period of the energy supply end according to the operating period; and analyze and collect the power risk period and power safety period of the receiving end according to the period analysis of the receiving end, and perform energy supply detection according to the overlap analysis of the period type;

[0009] Step 2: Energy control detection: Perform temperature control detection on the energy supply end; obtain the energy consumption data and temperature control speed data of the energy supply end, and perform energy control detection on the energy supply end based on data comparison;

[0010] Step 3: Parameter detection: after completing the detection of step 1 and step 2 and passing the detection, perform real-time parameter detection on the receiving end, collect the update data and growth data of the receiving end, generate parameter adjustment signals or parameter satisfaction signals based on data analysis, and send them to the dispatching center;

[0011] Step 4: Trend analysis: After completing the parameter detection in step 3 and passing the detection, perform parameter prediction on the receiving end; obtain the trend floating data of the receiving end, obtain the trend analysis coefficient of the receiving end based on the trend floating data analysis, and complete the trend analysis based on the trend analysis coefficient comparison.

[0012] As a preferred embodiment of the present invention, the operating time period of the receiving end is obtained according to the time acquisition, and the cumulative delay time corresponding to the supply of diesel and ammonia at the energy supply end at different times in the same time period is obtained according to the operating time period of the receiving end, and the numerical deviation value of the set supply ratio of diesel and ammonia and the actual supply ratio is obtained according to the diesel supply amount and ammonia supply amount of the energy supply end, and it is compared with the cumulative delay time threshold and the numerical deviation value threshold respectively:

[0013] If the cumulative delay time of diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same time period exceeds the cumulative delay time threshold, or the numerical deviation between the set supply ratio of diesel and ammonia and the actual supply ratio exceeds the numerical deviation value threshold, then the operating time period of the current energy supply end is set as the supply risk period; if the cumulative delay time of diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same time period does not exceed the cumulative delay time threshold, and the numerical deviation between the set supply ratio of diesel and ammonia and the actual supply ratio does not exceed the numerical deviation value threshold, then the operating time period of the current energy supply end is set as the supply safety period.

[0014] As a preferred embodiment of the present invention, the excess of the power demand and power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time are obtained during the operation process of the receiving end. If any value of the excess of the power demand and power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time exceeds the corresponding set threshold, the corresponding moment is marked as a power risk moment; if any value of the excess of the power demand and power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time does not exceed the corresponding set threshold, the corresponding moment is marked as a power safety moment; the power risk period and the power safety period are obtained according to the power risk moment and the power safety moment.

[0015] As a preferred embodiment of the present invention, the energy supply detection period is divided into i sub-periods, where i is a natural number greater than 1. Analysis is performed based on the types of sub-periods within the energy supply detection period. If only the supply safety period and the power safety period overlap in the energy supply detection period, a qualified energy supply detection signal is generated and sent to the dispatching center; if only the supply risk period and the power risk period overlap in the energy supply detection period, an abnormal energy supply detection signal is generated and sent to the dispatching center, and the dispatching center performs energy supply management and control on the energy supply end; if only the supply risk period and the power safety period overlap in the energy supply detection period, or if the supply safety period and the power risk period overlap in the energy supply detection period, an unstable energy supply efficiency signal is generated and sent to the dispatching center, and the dispatching center performs energy supply equipment maintenance on the energy supply end and detects the coordinated operation of the energy supply equipment.

[0016] As a preferred embodiment of the present invention, the consumption data and temperature control speed data of the energy supply end are respectively the numerical ratio of the coolant storage amount in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation when the energy supply end performs liquid cooling control to the coolant consumption of the temperature control operation, and the temperature control speed difference of the corresponding control operation in the starting stage in two scenarios where there is coolant and there is no coolant in the delivery pipe of the liquid cooling device;

[0017] If any value in the consumption data and temperature control speed data at the energy supply end exceeds the set threshold, an inefficient temperature control signal is generated and sent to the dispatching center; if any value in the consumption data and temperature control speed data at the energy supply end does not exceed the set threshold, a high-efficiency temperature control signal is generated and sent to the dispatching center.

[0018] As a preferred embodiment of the present invention, the update data and growth data of the energy supply end are respectively the update speed of the critical value of the reciprocating floating of the real-time power supplement supply of the receiving end when the energy supply end supplies power during the operation period of the receiving end, and the value increase span of the maximum demand of the temperature control speed of the receiving end when the energy supply end continuously controls the temperature during the operation period of the receiving end;

[0019] If any value in the updated data and growth data of the energy supply end exceeds the set threshold, a parameter adjustment signal is generated and sent to the dispatching center; if any value in the updated data and growth data of the energy supply end does not exceed the set threshold, a parameter satisfaction signal is generated and sent to the dispatching center.

[0020] As a preferred embodiment of the present invention, the trend floating data includes the shortening speed of the interval time length of the data operation instruction corresponding to the data storage unit during the real-time operation of the receiving end, the increase in the execution instruction density of the area where the corresponding data storage unit is located when the corresponding data operation instruction is executed during the real-time operation of the receiving end, and the extension of the maximum waiting execution time length of the data operation instruction to be executed by the same data storage unit during the real-time operation of the receiving end; the trend analysis coefficient of the receiving end is obtained through data analysis, and the trend analysis coefficient of the receiving end is compared with the trend analysis coefficient threshold range:

[0021] If the trend analysis coefficient of the receiving end exceeds the trend analysis coefficient threshold range, a trend enhancement signal is generated and sent to the dispatching center;

[0022] If the trend analysis coefficient of the receiving end does not exceed the trend analysis coefficient threshold range, a trend reduction signal is generated and sent to the dispatching center;

[0023] If the trend analysis coefficient of the receiving end is within the trend analysis coefficient threshold range, a trend constant signal is generated and sent to the dispatching center. After receiving the trend constant signal, the dispatching center does not adjust the supply to the energy supply end.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. In the present invention, a power supply test is performed on the power supply end, and a power supply performance test is performed on the power supply end when the receiving end is running. By testing the power supply performance of the power supply end, it is determined whether the current operating stability of the receiving end meets the actual demand, thereby ensuring that each data storage unit can operate normally during the operation of the receiving end, and avoiding insufficient power supply to affect the data transmission or data storage efficiency of the receiving end; a temperature control test is performed on the power supply end; when the receiving end is running, the temperature control performance of the power supply end is tested, and it is determined whether there is a risk of high temperature during the current operation of the receiving end based on the temperature control performance of the power supply end. At the same time, the operating environment quality of the receiving end can also be inferred based on the temperature control of the power supply end, and corresponding operation control can be made to adjust the data processing process of the receiving end in time.

[0026] 2. In the present invention, real-time parameter detection is performed on the receiving end, and the energy supply end is controlled to perform operation assistance based on the real-time operation parameter detection of the receiving end, so as to ensure that the energy supply end can timely control according to the changes in the real-time operation workload of the receiving end, improve the operation efficiency of the receiving end at any time, and avoid interruption of the operation progress of the data center due to abnormal operation efficiency, while disrupting the supply rules set by the energy supply end, thereby reducing its energy supply efficiency and causing waste of energy supply costs.

[0027] 3. In the present invention, parameter prediction is performed on the receiving end; the supply end operation is controlled in advance based on the operation trend analysis of the receiving end to ensure the timeliness of the allocation of the allocation center and to ensure that the supply end and the receiving end can be in a state of efficient coordination, thereby improving the operational qualification of the data center and also improving the satisfaction of the energy supply end. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0029] Figure 1 It is a principle block diagram of the deployment center of the present invention;

[0030] Figure 2 is a flow chart of the method of dispensing a center of the present invention;

[0031] Figure 3 It is a schematic diagram of the prior art process of the ammonia fuel power generation unit in the present invention;

[0032] Figure 4 It is a schematic diagram of the prior art process of the ammonia refrigeration system in the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0035] See also Figure 1 As shown, the comprehensive energy allocation process for the ammonia system power supply and heat exchange of the computing power center is composed of the allocation center, the energy supply end and the receiving end, and forms a closed loop; in this application, the energy supply end is represented by the ammonia fuel generator set and the ammonia refrigeration system;

[0036] See also Figure 3The ammonia fuel generator set is mainly composed of three parts: the engine body structure, the diesel supply system and the ammonia supply system. Since liquid ammonia has the characteristics of high fuel ignition energy, slow combustion speed and poor combustion characteristics, the ammonia fuel generator set uses diesel for combustion assistance, and ammonia accounts for 80% of the total fuel (heat value substitution). Liquid ammonia evaporates into gaseous ammonia through a heat exchanger, and the ammonia enters the ammonia nozzle assembly after decompression and filtration. The fuel injection amount of ammonia and diesel is precisely controlled by the engine electronic control system (GCU). The generator exhaust gas treatment adopts a multi-stage SCR ammonia diesel engine after-treatment system, which can use the ammonia in the exhaust gas for catalytic reduction. The DOC and DPF are removed from the after-treatment system, and the ammonia in the exhaust gas can be used for catalytic reduction. There is no need for a urea injection system, which weakens the traditional SCR function and improves the ASC capability, realizing the efficient and clean combustion of zero-carbon fuel ammonia and reducing costs and carbon. NH3 emissions under thermal cycles are around 1ppm, and nitrogen oxide emissions meet the non-road National IV standard.

[0037] See also Figure 4 , Ammonia refrigeration system: The data center liquid cooling device adopts cold plate liquid cooling, which mainly transfers the heat of components to the cooling liquid enclosed in the circulation pipe through the cold plate (a closed cavity made of high thermal conductivity metals such as copper and aluminum), and then uses the cooling liquid to take away the heat. It transports the intermediate heat to the back end for cooling through the transfer characteristics of the working fluid; the main circulation process of liquid cooling is to first set up a water distributor on the cabinet; secondly, connect the inlet and outlet water pipelines to the inlet and outlet of the computing node, and use the cold plate pipe in the node as the medium to complete the circulation of the liquid; finally, connect the CDU with the external pipeline to form a complete liquid cooling cycle;

[0038] The receiving end is represented by a liquid cooling data center in the prior art;

[0039] The control platform is the hub of comprehensive energy allocation. Figure 2 As shown, the specific steps of the comprehensive energy allocation method are as follows:

[0040] Step 1: Power supply detection: perform power supply detection on the power supply end, and perform power supply performance detection on the power supply end when the receiving end is running. By detecting the power supply performance of the power supply end, it is determined whether the current operating stability of the receiving end meets the actual demand, and each data storage unit can operate normally during the operation of the receiving end, so as to avoid insufficient power supply causing the data transmission or data storage efficiency of the receiving end to be affected;

[0041] Step 2: Energy control detection: perform temperature control detection on the energy supply end; perform temperature control performance detection on the energy supply end when the receiving end is running, and judge whether there is a risk of high temperature impact during the current operation of the receiving end according to the temperature control performance of the energy supply end. At the same time, the operating environment quality of the receiving end can also be inferred according to the temperature control of the energy supply end, and corresponding operation control can be made to adjust the data processing process of the receiving end in time;

[0042] Step 3: Parameter detection. After completing the detection of step 1 and step 2 and the detection is qualified, the receiving end is subjected to real-time parameter detection. The energy supply end is controlled to perform operation assistance according to the real-time operation parameter detection of the receiving end, so as to ensure that the energy supply end can timely control the changes of the real-time operation workload of the receiving end, improve the operation efficiency of the receiving end at any time, avoid abnormal operation efficiency causing interruption of the operation progress of the data center, and disrupt the supply rules set by the energy supply end, thereby reducing its energy supply efficiency and causing waste of energy supply costs;

[0043] Step 4: Trend analysis: After completing the parameter detection in step 3 and passing the detection, perform parameter prediction on the receiving end; perform early control of the supply end operation based on the operation trend analysis of the receiving end to ensure the timeliness of the allocation of the allocation center, ensure that the supply end and the receiving end can be in an efficient coordination state, improve the operation qualification of the data center, and also improve the satisfaction of the energy supply end;

[0044] Step 1: The energy supply detection process is as follows:

[0045] The operation period of the receiving end is obtained according to the time collection, and the cumulative delay time of the diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same period is obtained according to the operation period of the receiving end, and the numerical deviation value of the set supply ratio of diesel and ammonia and the actual supply ratio is obtained according to the diesel supply amount and ammonia supply amount of the energy supply end, and the cumulative delay time of the diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same period, and the numerical deviation value of the set supply ratio of diesel and ammonia and the actual supply ratio are compared with the cumulative delay time threshold and the numerical deviation value threshold respectively:

[0046] If the cumulative delay time of diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same time period exceeds the cumulative delay time threshold, or the numerical deviation between the set supply quantity ratio of diesel and ammonia and the actual supply quantity ratio exceeds the numerical deviation value threshold, then the operating time period of the current energy supply end is set as the supply risk time period; if the cumulative delay time of diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same time period does not exceed the cumulative delay time threshold, and the numerical deviation between the set supply quantity ratio of diesel and ammonia and the actual supply quantity ratio does not exceed the numerical deviation value threshold, then the operating time period of the current energy supply end is set as the supply safety time period;

[0047] According to the operation process of the receiving end, the excess of the power demand and the power supply of the receiving end at any time and the delay time of the supplementary supply when the power demand of the receiving end needs to be supplemented at any time are obtained. If any value of the excess of the power demand and the power supply of the receiving end at any time and the delay time of the supplementary supply when the power demand of the receiving end needs to be supplemented at any time exceeds the corresponding set threshold, the corresponding moment is marked as a power risk moment; if any value of the excess of the power demand and the power supply of the receiving end at any time and the delay time of the supplementary supply when the power demand of the receiving end needs to be supplemented at any time does not exceed the corresponding set threshold, the corresponding moment is marked as a power safety moment; the corresponding set thresholds in this application are all represented as data thresholds corresponding to the collected data;

[0048] The power risk period and the power safety period are obtained according to the power risk moment and the power safety moment; the corresponding overlapping period is set as the power supply detection period according to the supply demand period of the receiving end and the supply period of the energy supply end, wherein the time consumption of signal transmission during operation is excluded by the overlapping time length;

[0049] The energy supply detection period is divided into i sub-periods, where i is a natural number greater than 1. An analysis is performed based on the types of the sub-periods within the energy supply detection period. If only the supply safety period and the power safety period overlap in the energy supply detection period, a qualified energy supply detection signal is generated and sent to the dispatching center; if only the supply risk period and the power risk period overlap in the energy supply detection period, an abnormal energy supply detection signal is generated and sent to the dispatching center, and the dispatching center performs energy supply control on the energy supply end; if only the supply risk period and the power safety period overlap in the energy supply detection period, or if the supply safety period and the power risk period overlap in the energy supply detection period, an unstable energy supply efficiency signal is generated and sent to the dispatching center, and the dispatching center performs energy supply equipment maintenance on the energy supply end and detects the coordinated operation of the energy supply equipment;

[0050] The energy control detection process of step 2 is as follows:

[0051] The numerical ratio of the remaining amount of coolant in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation when the energy supply end performs liquid cooling control to the coolant consumption of the temperature control operation at that time is obtained. At the same time, according to the two scenarios of coolant and no coolant in the delivery pipe of the liquid cooling device, the temperature control speed difference of the corresponding control operation and the starting stage is obtained. The numerical ratio of the remaining amount of coolant in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation when the energy supply end performs liquid cooling control to the coolant consumption of the temperature control operation at that time, and the temperature control speed difference of the corresponding control operation and the starting stage in the two scenarios of coolant and no coolant in the delivery pipe of the liquid cooling device are compared with the numerical ratio threshold and the temperature control speed difference threshold respectively: and the above-mentioned collected data are marked as consumption data and temperature control speed data respectively;

[0052] If, when the energy supply end performs liquid cooling control, the ratio of the coolant reserve in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation to the coolant consumption in the current temperature control operation exceeds the numerical ratio threshold, or the temperature control speed difference between the control operation and the starting stage in the two scenarios of coolant and no coolant in the delivery pipe of the liquid cooling device exceeds the temperature control speed difference threshold, then an inefficient temperature control signal is generated and sent to the dispatching center. The dispatching center reorganizes the ammonia refrigeration system, controls the coolant reserve in the delivery pipe of the liquid cooling device, and monitors it in real time to ensure the coolant usage efficiency in the current temperature control operation;

[0053] If the ratio of the coolant reserve in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation to the coolant consumption in the current temperature control operation does not exceed the numerical ratio threshold when the energy supply end performs liquid cooling control, and the temperature control speed difference between the corresponding control operation and the starting stage in the two scenarios of coolant and no coolant in the delivery pipe of the liquid cooling device does not exceed the temperature control speed difference threshold, a temperature control high efficiency signal is generated and sent to the dispatching center;

[0054] The parameter detection process of step three is as follows:

[0055] In the present application, the real-time operation parameters are expressed as the required power for operation and the required temperature control amount; the update speed of the critical value of the reciprocating floating of the real-time power supplementary supply of the receiving end when the energy supply end supplies power during the operation period of the receiving end, and the value increase span of the maximum required value of the temperature control speed of the receiving end when the energy supply end continuously controls the temperature during the operation period of the receiving end are obtained, and the update speed of the critical value of the reciprocating floating of the real-time power supplementary supply of the receiving end when the energy supply end supplies power during the operation period of the receiving end, and the value increase span of the maximum required value of the temperature control speed of the receiving end when the energy supply end continuously controls the temperature during the operation period of the receiving end are marked as update data and growth data respectively; and compared with the corresponding update speed threshold and value increase span threshold:

[0056] If the update speed of the critical value of the reciprocating floating of the real-time power supplement supply of the receiving end exceeds the update speed threshold when the energy supply end supplies power during the operation period of the receiving end, or the value increase span of the maximum demand for the temperature control speed of the receiving end exceeds the value increase span threshold when the energy supply end continuously controls the temperature during the operation period of the receiving end, it is determined that the matching performance of the energy supply end and the receiving end is reduced, and a parameter adjustment signal is generated and sent to the dispatching center. After receiving the parameter adjustment signal, the dispatching center timely adjusts the supply of the energy supply end according to the real-time operation parameters of the receiving end to ensure that the energy supply end adjusts the supply before the demand of the receiving end increases. Reducing the secondary supply is conducive to reducing the risk of unmet supply.

[0057] If the update speed of the critical value of the reciprocating floating of the real-time power supplement supply of the receiving end when the energy supply end supplies power during the operation period of the receiving end does not exceed the update speed threshold, and the value increase span of the maximum demand for the temperature control speed of the receiving end when the energy supply end continuously controls the temperature during the operation period of the receiving end does not exceed the value increase span threshold, then it is determined that the matching performance of the energy supply end and the receiving end is normal, and a parameter satisfaction signal is generated and sent to the dispatching center; the data storage unit is represented as a hardware device for storing data in the data center;

[0058] Step 4: The trend analysis process is as follows:

[0059] The speed of shortening the interval time length of the data operation instruction of the data storage unit corresponding to the real-time operation of the receiving end and the increase in the execution instruction density of the area where the data storage unit is located are obtained, and the speed of shortening the interval time length of the data operation instruction of the data storage unit corresponding to the real-time operation of the receiving end and the increase in the execution instruction density of the area where the data storage unit is located are marked as SD and MD respectively; wherein the execution instruction density is represented by the number of execution instructions in the area of ​​the corresponding data storage unit;

[0060] Obtain the maximum waiting execution time extension of the data operation instruction to be executed by the same data storage unit during the real-time operation of the receiving end, and mark the maximum waiting execution time extension of the data operation instruction to be executed by the same data storage unit during the real-time operation of the receiving end as YC; and mark the above three data as trend floating data;

[0061] By formula G = fg1 fg1 + fg2 + fg3 [ SD × fg1 + MD × fg2 + YC × fg3 α ( fg1 + fg2 + fg3 ) ] Obtain the trend analysis coefficient G at the receiving end, where fg1, fg2 and fg3 are preset proportional coefficients of the interval time shortening speed, the execution instruction density increase and the maximum waiting execution time extension, respectively, and α is the error correction coefficient, which is 0.98;

[0062] Compare the trend analysis coefficient G at the receiving end with the trend analysis coefficient threshold range:

[0063] If the trend analysis coefficient G of the receiving end exceeds the trend analysis coefficient threshold range, the trend analysis of the receiving end is determined to be a high-intensity operation trend, and a trend enhancement signal is generated and sent to the dispatching center. After receiving the trend enhancement signal, the dispatching center adjusts the supply of the energy supply end to improve the supply efficiency.

[0064] If the trend analysis coefficient G of the receiving end does not exceed the trend analysis coefficient threshold range, the trend analysis of the receiving end is determined to be a low-intensity operation trend, a trend reduction signal is generated and sent to the dispatching center, and after the dispatching center receives the trend reduction signal, it adjusts the supply of the energy supply end, and the supply end supplies according to the real-time demand and does not set an additional supply amount;

[0065] If the trend analysis coefficient G of the receiving end is within the trend analysis coefficient threshold range, the trend analysis of the receiving end is determined to be a constant operation intensity trend, a constant trend signal is generated and sent to the dispatching center, and after the dispatching center receives the constant trend signal, the supply to the energy supply end is not adjusted;

[0066] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0067] When the present invention is in use, energy supply detection is performed, in which power supply detection is performed on the energy supply end, the operation period of the receiving end is obtained according to time collection, and the supply safety period and supply risk period of the energy supply end are collected according to the operation period analysis; and the power risk period and power safety period of the receiving end are collected through time period analysis, and energy supply detection is performed according to the overlap analysis of period types; energy control detection is performed, in which temperature control detection is performed on the energy supply end; consumption data and temperature control speed data of the energy supply end are obtained, and energy control detection of the energy supply end is performed according to data comparison; parameter detection is performed, in which real-time parameter detection is performed on the receiving end after the detection of step one and step two is completed and the detection is qualified, the update data and growth data of the receiving end are collected, and a parameter adjustment signal or a parameter satisfaction signal is generated according to data analysis, and sent to the dispatching center; trend analysis is performed, in which parameter prediction is performed on the receiving end after the parameter detection of step three is completed and the detection is passed; trend floating data of the receiving end is obtained, and the trend analysis coefficient of the receiving end is obtained according to the trend floating data analysis, and trend analysis is completed according to the trend analysis coefficient comparison.

[0068] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A comprehensive energy allocation method for supplying power and heat exchange to the ammonia system of the computing power center, characterized in that: The specific steps of the comprehensive energy allocation method are as follows: Step 1: Energy supply detection: perform power supply detection on the energy supply end, obtain the operating period of the receiving end according to the time collection, and analyze and collect the supply safety period and supply risk period of the energy supply end according to the operating period; The receiving end also analyzes the power risk period and power safety period collected at the receiving end, and performs energy supply detection based on the overlap analysis of the period types; Step 2: Energy control detection: Perform temperature control detection on the energy supply end; obtain the energy consumption data and temperature control speed data of the energy supply end, and perform energy control detection on the energy supply end based on data comparison; Step 3: Parameter detection: after completing the detection of step 1 and step 2 and passing the detection, perform real-time parameter detection on the receiving end, collect the update data and growth data of the receiving end, generate parameter adjustment signals or parameter satisfaction signals based on data analysis, and send them to the dispatching center; Step 4: Trend analysis: After completing the parameter detection in step 3 and passing the detection, perform parameter prediction on the receiving end; Obtain the trend floating data of the receiving end, obtain the trend analysis coefficient of the receiving end according to the trend floating data analysis, and complete the trend analysis according to the trend analysis coefficient comparison; The operation period of the receiving end is obtained according to the time collection, and the cumulative delay time of the diesel supply and ammonia supply at the energy supply end corresponding to the non-same time in the same period is obtained according to the operation period of the receiving end. According to the diesel supply and ammonia supply at the energy supply end, the numerical deviation value of the set supply ratio of diesel and ammonia and the actual supply ratio is obtained, and it is compared with the cumulative delay time threshold and the numerical deviation value threshold respectively: If the cumulative delay time of diesel supply and ammonia supply at the energy supply end at different times within the same period exceeds the cumulative delay time threshold, or the numerical deviation between the set supply ratio of diesel and ammonia and the actual supply ratio exceeds the numerical deviation value threshold, the current operation period of the energy supply end is set as the supply risk period; If the cumulative delay time of diesel supply and ammonia supply at the energy supply end corresponding to the supply at different times in the same period does not exceed the cumulative delay time threshold, and the numerical deviation between the set supply ratio of diesel and ammonia and the actual supply ratio does not exceed the numerical deviation threshold, then the operating time period of the current energy supply end is set as the supply safety period; According to the operation process of the receiving end, the excess of the power demand and the power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time are obtained. If any value of the excess of the power demand and the power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time exceeds the corresponding set threshold, the corresponding moment is marked as a power risk moment; if any value of the excess of the power demand and the power supply at the receiving end at any time and the delay time of the supplementary supply when the power demand at the receiving end needs to be supplemented at any time does not exceed the corresponding set threshold, the corresponding moment is marked as a power safety moment; Obtain power risk periods and power safety periods based on power risk moments and power safety moments; The energy supply detection period is divided into i sub-periods, where i is a natural number greater than 1. Analysis is performed based on the types of the sub-periods within the energy supply detection period. If only the supply safety period and the power safety period overlap in the energy supply detection period, an energy supply detection qualified signal is generated and sent to the dispatching center. If only the supply risk period and the power risk period overlap in the energy supply detection period, an energy supply detection abnormality signal is generated and sent to the dispatching center, and the dispatching center performs energy supply control on the energy supply end; if only the supply risk period and the power safety period overlap in the energy supply detection period, or there is a supply safety period and the power risk period overlap in the energy supply detection period, an energy supply efficiency instability signal is generated and sent to the dispatching center, and the dispatching center performs energy supply equipment maintenance on the energy supply end and detects the coordinated operation of the energy supply equipment; The consumption data and temperature control speed data of the energy supply end are respectively the ratio of the coolant storage volume in the delivery pipe of the liquid cooling device corresponding to a single temperature control operation when the energy supply end performs liquid cooling control to the coolant consumption of the temperature control operation, and the temperature control speed difference of the corresponding control operation in the starting stage under the two scenarios of coolant and no coolant in the delivery pipe of the liquid cooling device; If any value of the consumption data and the temperature control speed data of the energy supply end exceeds the set threshold, an inefficient temperature control signal is generated and sent to the dispatching center; if any value of the consumption data and the temperature control speed data of the energy supply end does not exceed the set threshold, a high-efficiency temperature control signal is generated and sent to the dispatching center; The update data and growth data of the energy supply end are respectively the update speed of the critical value of the real-time power supplement supply of the receiving end when the energy supply end supplies power during the operation period of the receiving end, and the value increase span of the maximum demand of the temperature control speed of the receiving end when the energy supply end continuously controls the temperature during the operation period of the receiving end; If any value of the updated data and the growth data of the energy supply end exceeds the set threshold, a parameter adjustment signal is generated and sent to the dispatching center; if any value of the updated data and the growth data of the energy supply end does not exceed the set threshold, a parameter satisfaction signal is generated and sent to the dispatching center; The trend floating data include the shortening speed of the interval time of the corresponding data operation instruction of the data storage unit during the real-time operation of the receiving end, the increase of the execution instruction density of the corresponding data operation instruction execution area of ​​the corresponding data storage unit during the real-time operation of the receiving end, and the extension of the maximum waiting execution time of the data operation instruction to be executed by the same data storage unit during the real-time operation of the receiving end; the labels SD, MD, YC are set respectively; By formula The trend analysis coefficient G of the receiving end is obtained, where fg1, fg2 and fg3 are the preset proportional coefficients of the interval shortening speed, the increase in execution instruction density and the extension of the maximum waiting execution time respectively, and α is the error correction coefficient, which is 0.98; and the trend analysis coefficient of the receiving end is compared with the trend analysis coefficient threshold range: If the trend analysis coefficient of the receiving end exceeds the trend analysis coefficient threshold range, a trend enhancement signal is generated and sent to the dispatching center; If the trend analysis coefficient of the receiving end does not exceed the trend analysis coefficient threshold range, a trend reduction signal is generated and sent to the dispatching center; If the trend analysis coefficient of the receiving end is within the trend analysis coefficient threshold range, a trend constant signal is generated and sent to the dispatching center. After receiving the trend constant signal, the dispatching center does not adjust the supply to the energy supply end.

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