Energy comprehensive monitoring method and system based on data center

Abstract

The invention provides an energy comprehensive monitoring method and system based on a data center, relates to the technical field of data center testing, and solves the technical problem of relatively high testing cost of the data center in the prior art. The method comprises the following steps: constructing a test environment through standardized test equipment and a test process; the test environment comprises a plurality of modular systems; based on the criticality sequence of the plurality of modular systems, the basic functions of the modular systems with high criticality are preferentially tested, and a test result is generated; and based on the test result, optimizing the test process of the next test. The method is used in the verification test process of the data center.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data center testing, and in particular to an energy comprehensive monitoring method and system based on a data center. BACKGROUND

[0002] With the rapid development of information technology, data centers and computer rooms have become indispensable infrastructure in modern society. The safe and stable operation of data centers is an important foundation for guaranteeing network communication, information technology services, etc. A data center is a key facility for IT systems. The high availability, high reliability and rapid development of IT systems determine that the construction and management of a data center is a complex system engineering. Only by establishing the concept of whole life cycle management and organically combining IT systems with infrastructure projects can a data center be obtained that is suitable for the development of an enterprise.

[0003] Data center testing and certification is a systematic quality inspection process, which is a deep review of the design and construction of data center heating and power supply systems, etc. Through various tests of each system, various faults and problems existing in the design and construction process of the system are found, and system failures that may occur after the data center is put into operation are avoided, thereby avoiding losses caused by system failures. If verification testing is not performed, it will bring unpredictable risks to the operation of the data center in the later period.

[0004] Although the existing method of data center testing and certification is mature, it has many technical defects and limitations in actual application and still needs to rely on manual work. Among them, experts have high costs and need to pay travel and subsequent rectification consulting fees, and internal personnel training needs training costs and needs regular retraining, so the cost of manual work is large, which affects the cost efficiency. SUMMARY

[0005] The present application provides an energy comprehensive monitoring method and system based on a data center, which solves the technical problem of high testing cost of a data center in the prior art.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions: In a first aspect, an energy comprehensive monitoring method based on a data center is provided, comprising: constructing a test environment through standardized test equipment and test procedures; the test environment comprises a plurality of modular systems; based on the criticality ranking of the plurality of modular systems, the basic functions of the modular systems with high criticality are tested preferentially, and a test result of this time is generated; based on the test result of this time, the test procedure of the next test is optimized.

[0007] Based on the above technical solutions, in the energy comprehensive monitoring method based on the data center provided in the application, the equipment investment can be reduced through the modular environment construction, then the manual cost can be reduced through the automatic test, further, the test cycle can be shortened through the phased strategy, and the invalid test can be avoided through the dynamic adjustment, thereby comprehensively solving the problem of high test and certification cost of the data center.

[0008] In combination with the first aspect, in a possible implementation manner, the plurality of modular systems comprises an electrical test system, a heating and ventilation test system, and a weak current test system; the key ranking based on the plurality of modular systems is to test the basic functions of the modular systems with high criticality in priority, and the method for generating the test result comprises: testing the basic functions of the electrical test system in a first stage to generate an electrical test result; the electrical test result at least indicates whether the test environment is safe in power supply; testing the basic functions of the heating and ventilation test system in a second stage to generate a heating and ventilation test result; the heating and ventilation test result at least indicates whether the test environment meets the heat dissipation requirement of the equipment; testing the basic functions of the weak current test system in a third stage to generate a weak current test result; the weak current test result at least indicates whether the test environment meets the operation environment of the equipment; and implementing system linkage test and fault simulation in a fourth stage to generate a linkage test result.

[0009] In combination with the first aspect, in a possible implementation manner, the method for testing the basic functions of the heating and ventilation test system in the second stage to generate the heating and ventilation test result comprises: when the sensed environment value exceeds the preset environment value range, starting an outdoor temperature and humidity compensation algorithm to test the heating and ventilation test system, and obtaining a corrected heating and ventilation test result.

[0010] In combination with the first aspect, in a possible implementation manner, the test equipment comprises a general test equipment of the plurality of modular systems; and the method for constructing the test environment through the standardized test equipment and test process comprises: scheduling the general test equipment according to the key ranking and test time consumption of the plurality of modular systems.

[0011] In combination with the first aspect, in a possible implementation manner, the method further comprises: identifying the general test equipment and the key test equipment of each modular system in the test equipment, and monitoring the equipment state information in real time; establishing an equipment health degree evaluation model, and predicting the remaining life of the equipment according to the equipment state information.

[0012] In a possible implementation manner of the first aspect, the method of optimizing the test procedure of the next test based on the test result, specifically comprises: when the test pass rate of any modular system is greater than or equal to a preset ideal value, skipping part of redundant test items in the next test of any modular system; or when the continuous historical test pass rate of any type of test equipment is greater than or equal to a preset ideal value, reducing the test items of any type of test equipment in the next test.

[0013] In a possible implementation manner of the first aspect, the method further comprises: deploying an intelligent sensor network to collect the basic data of the plurality of modular systems in real time; and generating the performance curve of each modular system or test equipment based on the basic data.

[0014] In a possible implementation manner of the first aspect, the intelligent sensor network adopts LoRa wireless transmission.

[0015] In a possible implementation manner of the first aspect, the method further comprises: using a machine learning algorithm to analyze the historical test results, automatically identifying abnormal test results and marking retest nodes.

[0016] The second aspect provides an energy comprehensive monitoring system based on a data center, comprising: a system construction module, a function test module and a process optimization module; the system construction module is configured to construct a test environment by using standardized test equipment and test procedures; the test environment comprises a plurality of modular systems; the function test module is configured to test the basic functions of the modular systems with high criticality in priority based on the criticality sorting of the plurality of modular systems, and generate a test result; and the process optimization module is configured to optimize the test procedure of the next test based on the test result.

[0017] The third aspect provides an energy comprehensive monitoring device based on a data center, comprising: a processor and a storage medium; the storage medium comprises instructions, and the processor is configured to execute the instructions to implement the method described in the first aspect and any possible implementation manner of the first aspect. The energy comprehensive monitoring device based on the data center can be an electronic device or a chip in the electronic device.

[0018] The fourth aspect provides an energy comprehensive monitoring device based on a data center, comprising: a processing unit; the processing unit is configured to construct a test environment by using standardized test equipment and test procedures; the test environment comprises a plurality of modular systems; the processing unit is further configured to test the basic functions of the modular systems with high criticality in priority based on the criticality sorting of the plurality of modular systems, and generate a test result; and the processing unit is further configured to optimize the test procedure of the next test based on the test result.

[0019] In a fifth aspect, the present application provides a computer readable storage medium, having stored therein instructions which, when executed on a data center based energy comprehensive monitoring device, cause the data center based energy comprehensive monitoring device to perform the method described in the first aspect and any possible implementation of the first aspect.

[0020] In a sixth aspect, the present application provides a computer program product having instructions, which, when executed on a data center based energy comprehensive monitoring device, cause the data center based energy comprehensive monitoring device to perform the method described in the first aspect and any possible implementation of the first aspect.

[0021] The present application provides a data center based energy comprehensive monitoring method and system, which can reduce equipment investment through modular environment construction, then reduce labor cost through automatic testing, further shorten testing period through phased strategy, dynamically adjust to avoid invalid testing, and comprehensively solve the problem of high testing and certification cost of data center.

[0022] It should be understood that the description of technical features, technical solutions, advantages or similar language in the present application does not imply that all features and advantages can be realized in any single embodiment. On the contrary, it can be understood that the description of a feature or advantage means that the specific technical feature, technical solution or advantage is included in at least one embodiment. Therefore, the description of technical features, technical solutions or advantages in the specification does not necessarily refer to the same embodiment. Further, the technical features, technical solutions and advantages described in the embodiments can be combined in any appropriate manner. Those skilled in the art will understand that the embodiments can be implemented without one or more specific technical features, technical solutions or advantages of a particular embodiment. In other embodiments, additional technical features and advantages can be identified in specific embodiments that do not embody all embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 A system architecture diagram of a data center based energy comprehensive monitoring system provided by an embodiment of the present application is provided; Figure 2 A flowchart of a data center based energy comprehensive monitoring method provided by an embodiment of the present application is provided; Figure 3 A flowchart of another data center based energy comprehensive monitoring method provided by an embodiment of the present application is provided; Figure 4 A flowchart of another data center based energy comprehensive monitoring method provided by an embodiment of the present application is provided; Figure 5Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 6 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 7 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 8 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 9 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 10 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. Figure 11 Another flowchart of the energy comprehensive monitoring method based on the data center is provided in the embodiments of the present application. DETAILED DESCRIPTION

[0024] In the description of the present application, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this document is only a description of the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, "at least one" means one or more, and "multiple" means two or more. "First", "second", and the like do not limit the quantity and execution order, and "first", "second", and the like do not necessarily mean different.

[0025] It should be noted that in the present application, "exemplary" or "for example" means to serve as an example, illustration or description. Any embodiment or design scheme described as "exemplary" or "for example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the use of "exemplary" or "for example" is intended to present the relevant concept in a specific manner.

[0026] The energy comprehensive monitoring method based on the data center provided by the embodiments of the present application can be applied to an energy comprehensive monitoring system 100 based on the data center, as shown in the figure. Figure 1 The energy comprehensive monitoring system 100 includes a system construction module 101, a function test module 102, and a process optimization module 103.

[0027] The system construction module 101 is used for data center test authentication system construction and laboratory construction. Among them, the data center test authentication system construction includes: test site construction, test system construction and test method development. Laboratory construction includes: laboratory environment, equipment, personnel, method standard, qualification ability construction.

[0028] The system construction module 101 is connected with the function test module 102 and the process optimization module 103, and provides professional detection schemes for data center site infrastructure, data center energy efficiency, etc. by establishing a data center detection acceptance system and the corresponding laboratory construction.

[0029] The laboratory construction meets the design requirements of GB / T 32146.2-2015 “Technical Requirements for Design and Construction of Testing and Detection Laboratories Part 2: Electrical Laboratory” standard specification. The experimental site should be stable and vibration-proof, and should meet the experimental conditions and safety environmental conditions required by the detection project. The laboratory should have sufficient ventilation equipment to keep the air in the laboratory fresh and clean. Warning signs or access control can be used to control personnel, equipment and experiments entering different areas.

[0030] Specifically, the laboratory includes the following areas: (1) Electrical performance detection area, this area mainly involves instruments such as AC power supply, DC power supply, DC load, AC load, battery pack charge-discharge tester, oscilloscope, internal resistance tester, insulation strength tester, insulation resistance tester, data acquisition equipment, etc. Since the test index of electrical performance is related to the test temperature, the temperature and humidity of this area should be controlled.

[0031] (2) Environmental performance test area, this area mainly completes temperature, humidity, temperature cycle and other experiments, involving instruments such as temperature and humidity test box, data acquisition equipment, etc. This area needs to work continuously for a long time, and the instrument equipment needs to be ensured to run stably.

[0032] (3) Auxiliary function area, which can be configured according to actual needs, including sample area (placing power samples before and after testing), equipment storage area (placing detection equipment that needs to be taken out, including power quality analyzer, dust particle counter, illuminometer, etc.) and office area; Office area places disassembly tools, computer console, etc.

[0033] In the embodiments of the present application, the system construction module 101 is configured to construct a test environment through standardized test equipment and test procedures. The test environment includes a plurality of modular systems, at least including: an electrical test system 104, a heating test system 105, and a weak current test system 106. The function test module 102 is configured to test the basic functions of the modular systems with high criticality in priority based on the criticality ranking of the plurality of modular systems, and generate a test result of this time. The procedure optimization module 103 is configured to optimize the test procedure of the next test based on the test result of this time.

[0034] The specific description of each modular system is as follows: 1. The electrical test system 104 is the key to the stable operation of the data center. The electrical system generally includes: the main electrical system related equipment and facilities, mainly involving transformers, low-voltage power distribution cabinets, automatic transfer switches (ATS), uninterruptible power supplies (UPS), batteries, precision power distribution cabinets, power distribution units (PDU), lightning protection grounding related components, switch electrical devices, related wiring and cable laying, pipeline, etc.

[0035] The test range of the function test module 102 for the electrical test system 104 includes: the function and performance test of the diesel generator subsystem, the 0.4KV / 10KV transformer and distribution subsystem, the low-voltage distribution subsystem, the lighting subsystem, and the lightning protection grounding subsystem.

[0036] 2. The heating test system 105 is also the key to the stable operation of the data center equipment, which can maintain the servers in a stable temperature and humidity environment during operation to maximize the operation efficiency.

[0037] The test range of the function test module 102 for the heating test system 105 includes: the air conditioning and heating system and related equipment and components, including: condensate water pipes, related pipe insulation, pipe valves (electric and manual), pipe instruments, precision air conditioners, air conditioning units, wet film humidifiers, fresh air units, and exhaust fans.

[0038] 3. The weak current test system 106 is a subsystem for monitoring whether the entire computer room and equipment are running normally. The weak current generally includes: a fire control system, an environmental power monitoring system, a building automatic control system, a computer room environment, and a security protection system.

[0039] (1) The test range of the function test module 102 for the fire control system includes: the function and performance test of the fire alarm system, the water spray fire extinguishing system, the gas fire extinguishing system, and the fire smoke exhaust system.

[0040] (2) The test range of the function test module 102 for the environmental power monitoring system includes: the computer room environment monitoring system (including temperature and humidity sensors, embedded devices, system servers, intelligent modules, etc.), and the environmental temperature and humidity, water leakage detection, computer room power supply and distribution monitoring system (low-voltage power distribution cabinet power monitoring, current, voltage, frequency, and on-off of the main switch of the precision power distribution cabinet), precision air conditioning monitoring system (supply air temperature, return air temperature, supply air humidity, return air humidity, fan status, return air temperature being too high or too low, supply air temperature being too high or too low, and on-off state), computer room environment temperature and humidity, and water leakage alarm.

[0041] (3) The test range of the function test module 102 for the building automation system includes: monitoring and energy-saving control of the fresh air system, air conditioning system, drainage system, and lighting system of the data center, checking of the host computer, display, various sensors, transmitters, and direct digital control (DDC) controllers in the field, manual and automatic state monitoring of the equipment, start-stop control, running state display, fault alarm, temperature and humidity detection, and control.

[0042] (4) The test range of the function test module 102 for the computer room environment includes: temperature and humidity, cleanliness, noise, illumination, positive pressure, and electromagnetic radiation environment tests of all computer room units involved in the data center.

[0043] (5) The test range of the function test module 102 for the security and protection system includes: all security and protection system devices and facilities, mainly including but not limited to the following: video monitoring system, intrusion alarm system, and access control system devices and facilities, and checking of the host computer, display, camera, sensor, controller, and actuator in the monitoring center.

[0044] In some implementations, the energy comprehensive monitoring system 100 deploys an intelligent sensor network, and LoRa wireless transmission is used between the intelligent sensor network and each module.

[0045] To solve the technical problem of high test cost of the data center in the prior art, an energy comprehensive monitoring method based on a data center is provided in the embodiments of the present application. The method can reduce equipment investment through modularized environment construction, reduce labor cost through automation testing, shorten the test cycle through a phased strategy, and dynamically adjust to avoid invalid testing, thereby comprehensively solving the problem of high test and certification cost of the data center.

[0046] As shown in Figure 2 The energy comprehensive monitoring method based on a data center provided in the embodiments of the present application includes: S201, a test environment is constructed through standardized test equipment and test procedures.

[0047] The test environment includes a plurality of modular systems, at least including: an electrical test system, a heating test system, and a weak current test system. The plurality of modular systems are interconnected using standardized interfaces.

[0048] For example, a preset electrical system test script automatically completes repetitive tests such as UPS load switching and battery discharge.

[0049] In some implementations, the test device includes a general test device for a plurality of modular systems, and the general test device (such as a load simulator and a data acquisition instrument) is centrally managed to achieve cross-project reuse.

[0050] S202, based on the criticality ranking of the plurality of modular systems, the basic functions of the modular systems with high criticality are tested first, and a test result of this time is generated.

[0051] The criticality ranking can be preset, for example Figure 3 As described in the first stage, the basic functions of the power supply and distribution system are verified first to ensure the safety of the test environment power supply; in the second stage, the basic refrigeration capacity of the air conditioning system is tested to meet the device heat dissipation requirement; in the third stage, the weak current test system is tested to determine whether the device operating environment is met; in the fourth stage, system linkage test and fault simulation are implemented to avoid test rework caused by defects in the basic functions.

[0052] In some implementations, a standardized test report can be generated based on the test result, including: a test data automatic filling technology that directly associates the collected data with the corresponding fields of the report template; a difference item highlighting display function that automatically marks red test results that do not meet the standard specifications; a report intelligent proofreading system that automatically checks data logic contradictions and prompts for review.

[0053] S203, based on the test result of this time, the test process of the next test is optimized.

[0054] In some implementations, the method of optimizing the test process of the next test based on the test result of this time can include: when the heating system energy efficiency is detected to be substandard, automatically adding special testing of the refrigeration unit; dynamically adjusting the sampling test ratio according to the reliability data provided by the device manufacturer.

[0055] In some implementations, for the first test unqualified project, the historical database is automatically associated to recommend the optimal retest scheme.

[0056] Based on the technical scheme, the energy comprehensive monitoring method based on the data center can reduce equipment investment through the modular environment construction, reduce labor costs through automatic testing, shorten the test cycle through the phased strategy, dynamically adjust to avoid invalid testing, and comprehensively solve the problem of high test certification cost of the data center.

[0057] In a possible implementation manner, in combination with Figure 2 As shown in the method in S202, the method can be implemented through the following S301 to S304, which will be described in detail as follows. Figure 3 S301, the first stage tests the basic function of the electrical test system to generate an electrical test result.

[0058] The electrical test result at least indicates whether the test environment is safe in power supply.

[0059] In some implementation manners, the test content of the electrical test system includes but is not limited to the following: Diesel generator and unit: under the load state, diesel generator steady-state operation test, noise test; oil supply detection, daily oil tank liquid level detection; diesel generator and unit corresponding logic control verification; Transformer: noise detection, heat detection; UPS and unit: load state (25%, 50%, 75%, 100%), single UPS steady-state operation test (25%, 50%, 75%, 100%), conversion test, bypass conversion test, inverter conversion test, single machine full load heat test, zero ground voltage test; UPS parallel function test, UPS parallel steady-state operation test (25%, 50%, 75%, 100%), parallel full load heat test; additional load test (existing load, content synchronization); Battery: single UPS full load battery discharge test; Precise power distribution cabinet: current, voltage, etc. of incoming and outgoing line switches, heat detection of each outgoing line switch, zero ground voltage detection; In addition, lighting system test, computer room precise power distribution cabinet test, ATS double power distribution cabinet switching operation test, dense busbar and power cable subsystem heat stability and heat test, computer room grounding system test, etc.

[0060] In some implementation manners, a power supply and distribution system rapid diagnosis process is set in the first stage to complete most of the basic project tests in a short time.

[0061] S302, the second stage tests the basic function of the heating and ventilation test system to generate a heating and ventilation test result.

[0062] The heating and ventilation test result at least indicates whether the test environment meets the heat dissipation requirement of the equipment.​

[0063] In some implementations, the test content of the warm test system includes but is not limited to: Precision air conditioner: alarm function, operating parameter, supply and return air temperature and humidity, fan control test; Wet film humidifier: start-stop, humidification function test; Fresh air unit: running function, performance parameter, fresh air volume test Exhaust fan: start-stop, running test; And, the end air conditioner load capacity test under full load operation of the machine room; the end air conditioner fault redundancy capacity test under full load operation of the machine room; simulate precision air conditioner fault, limit temperature rise test under full load operation of the machine room; refrigeration unit component group control logic operation test; refrigeration unit different refrigeration mode (electric refrigeration, partial natural cooling, complete natural cooling) operation switching test; under the condition of municipal water stop, air conditioning system emergency operation test.

[0064] S303, the third stage test the basic function of the weak current test system, and generate weak current test results.

[0065] Among them, the weak current test result at least indicates whether the test environment meets the operating environment of the equipment.

[0066] In some implementations, the test content of the weak current test system includes: The test content of the fire fighting system includes but is not limited to: fire alarm function test; fire linkage test detection; system data recording function test, detailed recording of various signal action feedback records; gas fire extinguishing action test, gas control panel connected to fire alarm controller bus can use automatic control, manual control, emergency operation three ways; fire exhaust system and empty system function test.

[0067] The test content of the environmental power monitoring system includes but is not limited to: temperature and humidity alarm test; water leakage alarm test; low voltage power distribution cabinet power meter and switch state monitoring; UPS unit monitoring; electrical system precision column head cabinet state monitoring test; precision air conditioning system function, alarm monitoring test; static transfer switch (STS) cabinet operation monitoring test; environmental monitoring equipment system function test and system data recording function test; system test; system other alarm function monitoring test.

[0068] The test content of the building automation system includes but is not limited to: fresh air unit monitoring test; humidifier monitoring test; air conditioning unit monitoring test; exhaust fan monitoring test; building automation workstation server system test.

[0069] The test contents of the machine room environment include, but are not limited to: machine room and auxiliary area temperature and humidity test; machine room and auxiliary area temperature and humidity change rate test; machine room and auxiliary area illumination test; machine room cleanliness test; machine room static pressure difference test; machine room noise test; machine room anti-static test; machine room vibration test; machine room electromagnetic radiation test; machine room radio interference field strength test; machine room lightning protection grounding test.

[0070] The test contents of the security and protection system include, but are not limited to: video monitoring system test; intrusion alarm system test; entrance and exit control system test.

[0071] S304, the fourth stage implements system linkage test and fault simulation, and generates linkage test results.

[0072] It should be noted that after the basic function verification of the electrical, heating, and weak current systems is completed, the fourth stage focuses on testing: the cooperative operation capability between systems (such as the switching logic of UPS+generator+air conditioner when the mains power is cut off), the redundancy mechanism under fault scenarios (such as the load takeover capability of the remaining air conditioners when a single precision air conditioner fails), and the system stability under extreme conditions (such as the composite scenario of simulating power grid fluctuation+high temperature weather+fire alarm).

[0073] For example, as shown in Table 1, the linkage test items can include: Table 1 Linkage Test Items

[0074] In some implementations, the fault simulation method can include: Hardware-level fault injection: electrical system: remove UPS battery module, short-circuit power distribution cabinet busbar; heating system: close the chilled water valve, block the air conditioner return air inlet; weak current system: disconnect the local area network, tamper with sensor data.

[0075] Software-level fault simulation: issue an error instruction (such as setting the air conditioner temperature to -10℃) through the building automation system; modify the PLC logic to simulate signal transmission delay (such as delaying the fire alarm response for 5 seconds).

[0076] Based on the above technical solutions, by decomposing the data center test into serial stages of electrical, heating, and weak current systems, resource conflicts (such as power load contention and environmental interference) during multi-system synchronous testing are avoided. Secondly, the power supply safety (electrical) and heat dissipation capability (heating) are tested first, which are the basic constraints for the operation of the data center, ensuring that subsequent tests will not be interrupted due to basic function defects, and early detection of key system failures (such as UPS unable to carry load) is achieved, avoiding resource waste caused by continuing to perform subsequent tests on a faulty system.

[0077] In one possible implementation, in combination with Figure 3 For example,Figure 4 The method in S302 can be implemented by S401, which will be described below. S401, when the perceived environmental value exceeds the preset environmental value range, the outdoor temperature and humidity compensation algorithm is started to test the warm and ventilated test system, and the corrected warm and ventilated test result is obtained.

[0078] It should be noted that in the data center warm and ventilated system test phase (second phase), the traditional test method directly uses the measured outdoor temperature and humidity data to evaluate the air conditioning performance. When extreme weather (such as continuous high temperature or abnormal high humidity) occurs, it will cause: the test data exceeds the design working condition range of the equipment, the system frequently triggers protective shutdown, the test result cannot reflect the real performance of the equipment, thereby causing test interruption and repetition, and increasing the test cost.

[0079] In some implementations, the implementation of the outdoor temperature and humidity compensation algorithm includes the following steps: First, standardize the environmental data: establish a local ten-year meteorological database, extract typical meteorological parameters for each month; when the perceived environmental value exceeds the preset environmental value range (for example, the measured outdoor temperature > 35℃ or the relative humidity > 90%), the compensation algorithm is started; the moving average method is used to smooth the extreme fluctuation data.

[0080] Second, device performance modeling: construct the heat transfer equation of precision air conditioner: Q=K×A×ΔT (where Q is the refrigeration capacity, K is the heat transfer coefficient, A is the heat transfer area, and ΔT is the temperature difference); establish humidity influence factor model: μ=1-0.05×(RH-60%)² (where RH is the measured relative humidity).

[0081] Third, dynamic compensation: when high temperature compensation, calculate the equivalent temperature difference ΔT'=ΔT×(1+α(T_out-35)) (where α is the compensation coefficient, and the exemplary value is 0.015 / ℃); when high humidity compensation, correct sensible heat ratio SHR'=SHR×μ (where SHR is the original sensible heat ratio).

[0082] Fourth, correct the test results: generate the data comparison curve before and after compensation; automatically label the compensation influence area (±5% accuracy range); list the compensation calculation process separately in the test report.

[0083] For example, when a data center is tested in 38℃ high temperature weather, the measured air conditioner refrigeration capacity decreases by 18%. After compensation algorithm processing, the equivalent refrigeration capacity = measured value / (1+0.015×(38-35)) = measured value / 1.045, the corrected data has a deviation of <3% from the 25℃ baseline test result, which can avoid the repeated test planned to be performed after the temperature drops.

[0084] Based on the above technical scheme, the test can be normally performed in an extreme environment, the test data availability rate in extreme weather is improved, the test interruption caused by weather is reduced, and the repeated test cost is saved. Further, the scheme is applicable to: a tropical / subtropical region data center, a third-party detection institution requiring continuous testing throughout the year, and a project with a tight construction period.

[0085] In a possible implementation manner, the method in S201 can be implemented by the following S501, and the following will be specifically described. Figure 2 As shown in the following S501, the method in S201 can be implemented by the following S501, and the following will be specifically described. Figure 5 S501, according to the criticality sorting and test time consumption of the plurality of modular systems, scheduling the general test equipment.

[0086] In some implementation manners, a device sharing pool can be established, and the device utilization rate is improved through a reservation scheduling mechanism. A rule engine is established, a weight template is automatically loaded according to the system type, and manual adjustment of the weight is supported (for example, the weight of weak current monitoring can be increased in a financial data center).

[0087] In some implementation manners, a greedy algorithm can be used to realize fast real-time scheduling, and manual intervention is supported (for example, an emergency test task is inserted).

[0088] Based on the above technical scheme, high-value general equipment (such as power quality analyzers and data collectors) can be dynamically scheduled, so as to avoid idle or contention of the equipment, improve the equipment utilization rate, and reduce the cost of repeated purchase of general equipment.

[0089] In a possible implementation manner of the embodiment of the application, the method is combined with Figure 5 As shown in the following S501, the method in S201 can be implemented by the following S501, and the following will be specifically described. Figure 6 As shown in the following S501, the method in S201 can be implemented by the following S501, and the following will be specifically described. S601, identifying the general test equipment and the key test equipment of each modular system in the test equipment, and monitoring the equipment state information in real time.

[0090] In some implementation manners, the identification of the equipment can be a radio frequency identification (RFID), a two-dimensional code, or the like.

[0091] In some implementation manners, the equipment state information can include a calibration validity period, a running temperature, and the like.

[0092] In some implementation manners, a unique identification is bound for each device, and the device parameters (including: model / calibration date / belonging system) are associated in a database. The equipment occupation situation can also be displayed through a state board, so as to reduce the contention of the equipment.

[0093] ​S602. Establish an equipment health assessment model and predict the remaining lifespan of the equipment based on the equipment status information.

[0094] In some implementations, predicting the remaining lifespan of equipment allows for the early replacement of aging components (such as batteries and sensors). It also enables the downgrading of equipment with low health (e.g., for use only in non-critical testing) to extend the overall lifespan of the equipment.

[0095] In some implementations, simple devices (such as load cells) can use linear regression models, complex devices (such as UPS testers) can use random forest models, and high-frequency monitoring devices (such as data acquisition cards) can use long short-term memory (LSTM) neural network models.

[0096] Based on the above technical solution, equipment can be quickly located using a unique identifier, reducing manual inventory time. Real-time monitoring of equipment status prevents the use of faulty equipment from invalidating test data. Furthermore, it allows for the prediction of remaining equipment lifespan and reduces the rate of unexpected failures.

[0097] In one possible implementation of the embodiments of this application, combined with Figure 2 ,like Figure 7 As shown, the method in S203 above can be implemented in S701 or S702, which will be explained in detail below: S701. When the pass rate of any modular system is greater than or equal to the preset ideal value, skip some redundant test items in any modular system in the next test.

[0098] For example, when the electrical system test pass rate is >95%, some redundant test items are skipped.

[0099] S702. When the historical pass rate of any type of test equipment is greater than or equal to the preset ideal value, the number of test items for any type of test equipment shall be reduced in the next test.

[0100] For example, when it is detected that the pass rate of three consecutive batches of similar equipment reaches 100%, the test items for that equipment are automatically reduced by 30%.

[0101] Based on the above technical solutions, redundant test items can be skipped for specific systems (such as electrical systems) or test items can be reduced for specific equipment types (such as power quality analyzers) by using a test pass rate threshold triggering mechanism, which can reduce labor costs and equipment wear and tear.

[0102] In one possible implementation of the embodiments of this application, combined with Figure 2 ,like Figure 8As shown, the above method also includes the following steps S801 to S802, which are described in detail below: S801: Deploy an intelligent sensor network to collect basic data from multiple modular systems in real time.

[0103] In some implementations, as shown in Table 2, the sensor selection and layout in intelligent sensor networks include: Table 2 Sensor Selection and Layout

[0104] In some implementations of smart sensor networks, data transmission schemes include: wired communication for high-reliability fixed devices; LoRa wireless transmission for mobile or distributed devices; and industrial Ethernet for devices requiring high-speed data acquisition.

[0105] Among them, the intelligent sensor network adopts LoRa wireless transmission. LoRa network has the characteristics of long transmission distance, low power consumption, many networking nodes, strong anti-interference and low cost.

[0106] S802. Based on the basic data, generate performance curves for each modular system or test equipment.

[0107] In some implementations, the performance curve generation method includes: data preprocessing (including denoising, alignment, and compensation), curve modeling of the processed data, and then visualization and anomaly alerting.

[0108] Based on the above technical solutions, the testing process can be digitally monitored through intelligent sensor networks combined with performance curve analysis, enabling real-time data-driven test optimization, early warning of performance degradation, and automation of test reports.

[0109] In one possible implementation of the embodiments of this application, combined with Figure 2 ,like Figure 9 As shown, the above method also includes the following S901, which will be described in detail below: S901: Uses machine learning algorithms to analyze historical test results, automatically identifies abnormal test results, and marks retest nodes.

[0110] Based on the above technical solution, through correlation analysis, not only is abnormal data marked, but the specific equipment or parameters that need to be retested are also located. Compared with manual investigation, machine learning can improve the speed of anomaly identification and reduce the false negative rate.

[0111] The above describes the scheme of the embodiments of the present application mainly from the perspective of device implementation. It can be understood that, in order to implement the above functions, each device, for example, the energy comprehensive monitoring apparatus based on a data center, comprises at least one of a corresponding hardware structure and a software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is implemented in the form of hardware or computer software driving hardware depends on the specific application of the technical scheme and design constraints. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0112] The embodiments of the present application can divide the functional units of the energy comprehensive monitoring apparatus based on a data center according to the above method examples. For example, each functional unit can be divided according to each function, or two or more functions can be integrated in one processing unit. The above integrated unit can be implemented in the form of hardware or software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical functional division. In actual implementation, there can be another division manner.

[0113] In the case of using an integrated unit, Figure 10 A possible structural schematic diagram of the energy comprehensive monitoring apparatus 1000 based on a data center involved in the above embodiments is shown, which comprises a processing unit 1001, and can further comprise a communication unit 1002 and a storage unit 1003. Figure 10 The structural schematic diagram shown can be used to illustrate the structure of the energy comprehensive monitoring apparatus based on a data center involved in the above embodiments.

[0114] When Figure 10 When the structural schematic diagram is used to illustrate the structure of the energy comprehensive monitoring apparatus based on a data center involved in the above embodiments, the processing unit 1001 is used to control and manage the actions of the energy comprehensive monitoring apparatus based on a data center, the communication unit 1002 is used for the energy comprehensive monitoring apparatus based on a data center to communicate with other devices, and the storage unit 1003 is used to store the program code and data of the energy comprehensive monitoring apparatus based on a data center.

[0115] For example, the processing unit 1001; The processing unit 1001 is configured to construct a test environment through a standardized test device and a test process. The test environment comprises a plurality of modular systems.

[0116] The processing unit 1001 is further configured to prioritize the testing of the basic functions of the modular systems with high criticality based on the criticality ranking of the plurality of modular systems, and generate a test result of this time.

[0117] The processing unit 1001 is further configured to optimize the test procedure of the next test based on the test result of this time.

[0118] In a possible implementation, the processing unit 1001 is specifically configured to test the basic functions of the electrical test system in the first stage, and generate an electrical test result, wherein the electrical test result at least indicates whether the test environment is safe for power supply; test the basic functions of the HVAC test system in the second stage, and generate an HVAC test result, wherein the HVAC test result at least indicates whether the test environment meets the heat dissipation requirement of the device; test the basic functions of the weak current test system in the third stage, and generate a weak current test result, wherein the weak current test result at least indicates whether the test environment meets the operating environment of the device; and implement system linkage test and fault simulation in the fourth stage, and generate a linkage test result.

[0119] In a possible implementation, the processing unit 1001 is specifically configured to start an outdoor temperature and humidity compensation algorithm to test the HVAC test system when the perceived environmental value exceeds the preset environmental value range, and obtain a corrected HVAC test result.

[0120] In a possible implementation, the processing unit 1001 is specifically configured to schedule the general test device according to the criticality ranking of the plurality of modular systems and the test time consumption.

[0121] In a possible implementation, the processing unit 1001 is further configured to identify the general test device and the critical test device of each modular system in the test device, and monitor the device state information in real time; establish a device health degree evaluation model, and predict the remaining life of the device according to the device state information.

[0122] In a possible implementation, the processing unit 1001 is specifically configured to, when the test pass rate of any modular system is greater than or equal to a preset ideal value, skip part of the redundant test items of the any modular system in the next test; or, when the continuous historical test pass rate of any type of test device is greater than or equal to a preset ideal value, reduce the test items of the any type of test device in the next test.

[0123] In a possible implementation, the processing unit 1001 is further configured to deploy an intelligent sensor network to collect basic data of the plurality of modular systems in real time; and generate a performance curve of each modular system or test device based on the basic data.

[0124] In a possible implementation, the processing unit 1001 is further configured to analyze historical test results by using a machine learning algorithm, automatically identify abnormal test results, and mark retest nodes.

[0125] The processing unit 1001 can be a processor or a controller, and the communication unit 1002 can be a communication interface, a transceiver, a transceiver, a transceiver circuit, a transceiver device, or the like. The communication interface is a general term, which can include one or more interfaces. The storage unit 1003 can be a memory. When the data center-based energy comprehensive monitoring device 1100 is a chip, the processing unit 1001 can be a processor or a controller, and the communication unit 1002 can be an input interface and / or an output interface, a pin, or a circuit, etc. The storage unit 1003 can be a storage unit (for example, a register, a cache, etc.) within the chip, or can be a storage unit (for example, a read-only memory (ROM), a random access memory (RAM), etc.) located outside the chip.

[0126] Figure 10 The units in the above-described embodiments, if implemented in the form of software functional modules and sold or used as independent products, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application essentially or say the parts that make contributions to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods in the embodiments of the present application. The storage medium storing the computer software product includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and various media that can store program codes.

[0127] Figure 10 The units in the above-described embodiments can also be referred to as modules, for example, the processing unit can be referred to as a processing module.

[0128] The embodiments of the present application also provide a hardware structure diagram of a data center-based energy comprehensive monitoring device, referring to Figure 11 The data center-based energy comprehensive monitoring device 1100 includes a processor 1101, and optionally, a memory 1102 connected with the processor 1101.

[0129] In the first possible implementation, referring to Figure 11The data center based energy comprehensive monitoring device 1100 further comprises a transceiver 1103. The processor 1101, the memory 1102 and the transceiver 1103 are connected through a bus. The transceiver 1103 is configured to communicate with other devices or communication networks. Optionally, the transceiver 1103 can comprise a transmitter and a receiver. The device in the transceiver 1103 for realizing the receiving function can be regarded as a receiver, and the receiver is configured to perform the receiving steps in the embodiments of the present application. The device in the transceiver 1103 for realizing the sending function can be regarded as a transmitter, and the transmitter is configured to perform the sending steps in the embodiments of the present application.

[0130] Based on the first possible implementation, Figure 11 The structural schematic diagram shown can be used to show the structure of the data center based energy comprehensive monitoring device involved in the above embodiments.

[0131] Among them, Figure 11 The system chip in the data center based energy comprehensive monitoring device can also be shown. In this case, the actions performed by the data center based energy comprehensive monitoring device described above can be realized by the system chip, and the specific actions performed can be referred to in the above, which will not be described here.

[0132] In the implementation process, each step in the method provided by the embodiment can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The steps of the method disclosed in the embodiments of the present application can be directly embodied as hardware processor execution completion, or executed by the combination of hardware and software modules in the processor.

[0133] The processor in the present application can include, but is not limited to, at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), a microcontroller unit (MCU), or an artificial intelligence processor, and the like, each of which is a computing device running software, and each of which can include one or more cores for executing software instructions to perform operations or processing. The processor can be a separate semiconductor chip, or can be integrated with other circuits as a semiconductor chip, for example, can be integrated with other circuits (such as coding and decoding circuits, hardware acceleration circuits, or various bus and interface circuits) to form a SoC (system on chip), or can be integrated as a built-in processor in an ASIC. The ASIC integrated with the processor can be packaged separately or packaged together with other circuits. In addition to including cores for executing software instructions to perform operations or processing, the processor can further include necessary hardware accelerators, such as field programmable gate arrays (FPGAs), PLDs (programmable logic devices), or logic circuits implementing special logic operations.

[0134] The memory in the embodiments of the present application can include at least one of the following types: a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM). In some scenarios, the memory can also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but is not limited thereto.

[0135] The embodiments of the present application also provide a computer readable storage medium including instructions, which, when executed on a computer, cause the computer to perform any of the above methods.

[0136] The embodiments of the present application also provide a computer program product including instructions, which, when executed on a computer, cause the computer to perform any of the above methods.

[0137] The embodiment of the present application further provides a chip, which comprises a processor and an interface circuit, the interface circuit is coupled with the processor, the processor is used for running computer programs or instructions to realize the method described above, and the interface circuit is used for communicating with other modules outside the chip.

[0138] In the above embodiments, the implementation can be achieved by software, hardware, firmware or any combination thereof, entirely or partially. When implemented by software, the implementation can be achieved in the form of a computer program product, entirely or partially. The computer program product comprises one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the flow or function described in the embodiments of the present application is generated, entirely or partially. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer readable storage medium can be any available medium that can be accessed by a computer or data storage device including one or more servers, data centers, etc. integrated with the medium. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (solid state disk, SSD)) and the like.

[0139] Although the present application is described herein in conjunction with various embodiments, other variations of the disclosed embodiments can be understood and implemented by those skilled in the art with reference to the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "one" does not exclude a plurality. A single processor or other unit can implement several functions listed in the claims. Some measures described in mutually different dependent claims can be combined and produce good results.

[0140] Although the present application has been described in connection with specific embodiments thereof, it will be evident for those skilled in the art that various modifications and combinations are possible without departing from the spirit and scope of the application. Accordingly, the description and drawings are to be regarded as illustrative in nature and are not to be viewed as limiting the scope of the application as defined by the appended claims. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application cover modifications and variations of this application provided they come within the scope of the appended claims and their equivalents.

Claims

1. A data center-based energy comprehensive monitoring method, characterized in that, The application relates to a system construction method and system. The application comprises the following steps: Constructing a test environment through standardized test equipment and test procedures; The test environment comprises a plurality of modular systems; Based on the criticality ranking of the plurality of modular systems, the basic functions of the modular systems with high criticality are tested in priority, and a current test result is generated; 2. The method of claim 1, wherein, Based on the current test result, the test procedure of the next test is optimized. The plurality of modular systems comprise an electrical test system, a heating and ventilation test system and a weak current test system; and based on the criticality ranking of the plurality of modular systems, the basic functions of the modular systems with high criticality are tested in priority, and a current test result is generated, which comprises the following steps: In a first stage, the basic functions of the electrical test system are tested, and an electrical test result is generated; the electrical test result at least indicates whether the test environment is safe for power supply; In a second stage, the basic functions of the heating and ventilation test system are tested, and a heating and ventilation test result is generated; the heating and ventilation test result at least indicates whether the test environment meets the heat dissipation requirement of the equipment; In a third stage, the basic functions of the weak current test system are tested, and a weak current test result is generated; the weak current test result at least indicates whether the test environment meets the operation environment of the equipment; 3. The method of claim 2, wherein, In a fourth stage, system linkage test and fault simulation are implemented, and a linkage test result is generated. In the second stage, the basic functions of the heating and ventilation test system are tested, and a heating and ventilation test result is generated, which comprises the following steps:

4. The method of claim 1, wherein, When the perceived environmental value exceeds the preset environmental value range, an outdoor temperature and humidity compensation algorithm is started to test the heating and ventilation test system, and a corrected heating and ventilation test result is obtained. The test equipment comprises general test equipment of the plurality of modular systems; and the test environment is constructed through standardized test equipment and test procedures, which comprises the following steps:

5. The method of claim 4, wherein, The general test equipment is dispatched according to the criticality ranking and test time consumption of the plurality of modular systems. Further comprising the following steps: The general test equipment and the critical test equipment of each modular system in the test equipment are identified, and the equipment state information is monitored in real time; 6. The method of claim 1, wherein, An equipment health degree evaluation model is established, and the remaining life of the equipment is predicted according to the equipment state information. Based on the current test result, the test procedure of the next test is optimized, which comprises the following steps: When the test pass rate of any modular system is greater than or equal to a preset ideal value, part of the redundant test items in the any modular system are skipped in the next test; or 7. The method of claim 1, wherein, When the continuous historical test pass rate of any type of test equipment is greater than or equal to a preset ideal value, the test items of the any type of test equipment are reduced in the next test. Further comprising the following steps: An intelligent sensor network is deployed to collect the basic data of the plurality of modular systems in real time; 8. The method of claim 7, wherein, Based on the basic data, the performance curve of each modular system or test equipment is generated.

9. The method of claim 1, wherein, The intelligent sensor network adopts LoRa wireless transmission. Further comprising the following steps:

10. A data center based energy comprehensive monitoring system, characterized in that, A machine learning algorithm is used to analyze historical test results, automatically identify abnormal test results and mark retest nodes. The application comprises the following steps: A system construction module, a function test module and a procedure optimization module; The system construction module is used to construct a test environment through standardized test equipment and test procedures; The system construction module is used to construct a test environment through standardized test equipment and test procedures; The test environment comprises a plurality of modular systems; The function test module is configured to prioritize the testing of the basic functions of the modular systems with high criticality based on the criticality ranking of the plurality of modular systems, and generate a current test result; The flow optimization module is configured to optimize a test flow of a next test based on the current test result.

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