Resource data management method and device, medium and product

Abstract

The invention particularly relates to a resource data management method and device, a medium and a product, and the method comprises the steps: carrying out the preprocessing based on multi-dimensional resource data, then carrying out the mining analysis of target resource data through a big data analysis technology, determining prediction resource data, and carrying out the resource optimization analysis based on the prediction resource data, and determining a resource optimization strategy. The target resource data is mined and analyzed by using the big data technology, which is helpful to predict future resource demands in advance, so that resource allocation and optimization are performed in advance, and the resource utilization efficiency in the power and environment monitoring system is improved. And furthermore, when a feedback instruction is detected to be implemented, performing optimization effectiveness evaluation on the resource optimization strategy based on the resource feedback data, and when an evaluation result is that optimization does not reach the standard, performing iterative optimization on the resource optimization strategy. And a feedback mechanism is introduced to verify the effectiveness of the resource optimization strategy, so that the effectiveness of the resource optimization strategy is improved, and the resource utilization rate of the power and environment monitoring system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to a resource data management method, device, medium and product. Background Art

[0002] As an important tool for the operation and maintenance of key facilities such as data centers and communication base stations, the core of the dynamic environment monitoring system is to ensure the stable operation of facilities in the computer room and optimize resource utilization to reduce operating costs through real-time monitoring and analysis of various environmental parameters and equipment status. However, in the current resource data management method of the dynamic environment monitoring system, there is a problem of rigid resource allocation strategy.

[0003] Specifically, the resource data management methods in the related art have defects in data analysis capabilities, and the resource allocation strategy is often too simple and rigid. The simple and rigid resource allocation strategy usually alarms based on fixed thresholds or adopts a simple load balancing method. However, the rigid resource allocation strategy cannot be adjusted according to the actual demand for resources, resulting in low resource utilization efficiency in the dynamic environment monitoring system.

[0004] Therefore, how to improve the resource utilization of the dynamic environment monitoring system is an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0005] The purpose of this application is to provide a resource data management method, device, medium and product to solve at least one of the above technical problems.

[0006] The above invention objectives of the present application are achieved through the following technical solutions: In a first aspect, the present application provides a resource data management method, which adopts the following technical solution: A resource data management method, comprising: Acquire multi-dimensional resource data, and perform preprocessing based on the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data; Using big data analysis technology to mine and analyze the target resource data, determine predicted resource data, and perform resource optimization analysis based on the predicted resource data to determine a resource optimization strategy; Adjusting resource equipment in the dynamic environment monitoring system according to the resource optimization strategy, obtaining resource feedback data under the resource optimization strategy when a feedback instruction is detected, and evaluating the optimization effectiveness of the resource optimization strategy based on the resource feedback data to determine an optimization effectiveness evaluation result; When the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data is that the optimization meets the standard.

[0007] By adopting the above technical solution, multi-dimensional resource data is obtained, and pre-processing is performed based on the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data. Then, the target resource data is mined and analyzed using big data analysis technology to determine the predicted resource data, and resource optimization analysis is performed based on the predicted resource data to determine the resource optimization strategy. Compared with the rigid resource allocation strategy, the use of big data technology to mine and analyze the target resource data can find the rules and trends of resource use in the computer room, which helps to predict future resource needs in advance, thereby allocating and optimizing resources in advance, avoiding resource waste or resource shortage, and improving the resource utilization efficiency in the dynamic environment monitoring system. Then, the resource equipment in the dynamic environment monitoring system is adjusted according to the resource optimization strategy. When the implementation feedback instruction is detected, the resource feedback data under the resource optimization strategy is obtained, and the optimization effectiveness of the resource optimization strategy is evaluated based on the resource feedback data. When the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data meets the standard. Introducing a feedback mechanism in the actual application of resource optimization strategies to verify the effectiveness of resource optimization strategies can help to promptly discover deficiencies in the strategies and make timely adjustments to improve the effectiveness of resource optimization strategies, thereby improving the resource utilization of the dynamic environment monitoring system.

[0008] In a preferred example, the present application may be further configured as follows: the use of big data analysis technology to mine and analyze the target resource data to determine the predicted resource data includes: Performing mining analysis based on the power resource data and water resource data in the energy resource data to determine predicted power resource data and predicted water resource data; Performing mining analysis based on the equipment operation status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operation status and predicted equipment capacity utilization; Performing mining analysis based on the computer room space layout and storage space utilization in the space resource data to determine a predicted space layout report and predicted storage space utilization; Performing mining analysis based on the personnel resource data to determine a forecast personnel resource report; The predicted resource data is determined by comprehensively considering the predicted power resource data, the predicted water resource data, the predicted equipment operating status, the predicted equipment capacity utilization, the predicted space layout report, the predicted storage space utilization and the predicted personnel resource report.

[0009] In a preferred example, the present application may be further configured as follows: performing resource optimization analysis based on the predicted resource data to determine a resource optimization strategy includes: Optimizing power resources based on the predicted power resource data to determine an optimized power supply strategy, and optimizing water resources based on the predicted water resource data to determine an optimized water resource supply strategy; Optimizing the equipment maintenance plan based on the predicted equipment operating status to determine an optimized maintenance strategy, and optimizing the capacity utilization based on the predicted equipment capacity utilization to determine an optimized equipment capacity strategy; Optimizing the spatial layout based on the predicted spatial layout report to determine an optimized spatial layout strategy, and optimizing the storage space based on the predicted storage space utilization to determine an optimized storage strategy; Based on the predicted personnel resource report, personnel allocation optimization is performed to determine the optimized personnel allocation strategy, and the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized personnel allocation strategy are integrated to determine the resource optimization strategy.

[0010] In a preferred example, the present application may be further configured as follows: after the resource optimization strategy is determined by comprehensively analyzing the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized personnel allocation strategy, the further configuration may include: An optimization strategy type analysis is performed based on the resource optimization strategy to determine the optimization strategy type of each target optimization strategy, wherein the optimization strategy types include: a dynamic adjustment optimization strategy and a long-term planning optimization strategy, wherein the target optimization strategy is any one of the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized staffing strategy; Performing an optimization strategy priority analysis based on the resource optimization strategy to determine the optimization strategy priority of each target optimization strategy; Based on the optimization strategy priority and the optimization strategy type of each target optimization strategy, the resource optimization strategy is characterized and marked to obtain a marked resource optimization strategy.

[0011] In a preferred example, the present application may be further configured as follows: after performing resource optimization analysis based on the predicted resource data and determining a resource optimization strategy, the application may further include: Obtain a three-dimensional model of the computer room, and use holographic data modeling technology to perform three-dimensional visualization of the three-dimensional model of the computer room to obtain a virtual three-dimensional image of the computer room; The predicted resource data and the resource optimization strategy are added to the virtual three-dimensional image of the computer room, so that the computer room maintenance personnel can manually judge the feasibility of the resource optimization strategy.

[0012] In a preferred example, the present application may be further configured as follows: performing optimization effectiveness evaluation on the resource optimization strategy based on the resource feedback data and determining the optimization effectiveness evaluation result includes: The expected resource data corresponding to the resource optimization strategy is obtained, and an optimization effectiveness evaluation is performed based on the expected resource data and the resource feedback data to determine an optimization effectiveness evaluation result.

[0013] In a second aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the resource data management method mentioned above.

[0014] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the resource data management method described above.

[0015] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product comprises a computer program, wherein the computer program implements the resource data management method when executed by a processor.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: Multi-dimensional resource data is obtained, and pre-processing is performed based on the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data. Then, the target resource data is mined and analyzed using big data analysis technology to determine the predicted resource data, and resource optimization analysis is performed based on the predicted resource data to determine the resource optimization strategy. Compared with the rigid resource allocation strategy, the use of big data technology to mine and analyze the target resource data can discover the rules and trends of resource use in the computer room, which helps to predict future resource needs in advance, thereby allocating and optimizing resources in advance, avoiding resource waste or resource shortage, and improving the resource utilization efficiency in the dynamic environment monitoring system. Then, the resource equipment in the dynamic environment monitoring system is adjusted according to the resource optimization strategy. When the implementation feedback instruction is detected, the resource feedback data under the resource optimization strategy is obtained, and the optimization effectiveness of the resource optimization strategy is evaluated based on the resource feedback data. When the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data meets the standard. Introducing a feedback mechanism in the actual application of resource optimization strategies to verify the effectiveness of resource optimization strategies can help to promptly discover deficiencies in the strategies and make timely adjustments to improve the effectiveness of resource optimization strategies, thereby improving the resource utilization of the dynamic environment monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flowchart of a resource data management method according to one embodiment of the present application; Figure 2 It is a structural diagram of a resource data management system according to one embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device according to one embodiment of the present application. DETAILED DESCRIPTION

[0018] The following combination Figures 1 to 3 This application is described in further detail.

[0019] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts belong to the scope of protection of this application. It should be noted that in the alternative embodiments of this application, for relevant data such as object information, when the embodiments in this application are applied to specific products or technologies, permission or consent from the object needs to be obtained, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions. That is to say, in the embodiments of this application, if data related to an object is involved, it needs to be obtained under the authorization and consent of the object, the authorization and consent of relevant departments, and compliance with the relevant laws, regulations, and standards of the country and region. In the embodiments, if personal information is involved, the acquisition of all personal information requires the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiments also need to be implemented under the authorization and consent of the object.

[0021] In addition, the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B may represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0022] The following further describes the embodiments of this application in detail with reference to the accompanying drawings of the specification.

[0023] The embodiments of this application provide a method for managing resource data, which is executed by an electronic device. The electronic device can be a server or a terminal device. Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication methods. This application does not limit this here. For example Figure 1 As shown, the method includes step S101, step S102, step S103, and step S104, where: Step S101: Obtain multi-dimensional resource data, and perform preprocessing based on the multi-dimensional resource data to obtain target resource data. Among them, the target resource data includes: energy resource data, device resource data, space resource data, and personnel resource data.

[0024] For the embodiment of the present application, a sensor network constructed by connecting various sensors together and various data acquisition devices are set up in the computer room. The sensor network and data acquisition devices can obtain multi-dimensional resource data in the computer room in real time, and transmit the multi-dimensional resource data to the electronic equipment through wireless communication. The dimensions represented by the multi-dimensional resource data include but are not limited to: energy usage in the computer room, equipment operation, equipment layout and storage space usage in the computer room, and personnel working conditions in the computer room. Then, preprocessing is performed based on the multi-dimensional resource data to obtain target resource data, wherein the preprocessing includes but is not limited to: data cleaning, data conversion, feature selection and data integration operations to eliminate outliers and noise interference in the multi-dimensional resource data, so as to facilitate subsequent mining and analysis of the target resource data.

[0025] Step S102: Use big data analysis technology to mine and analyze the target resource data, determine the predicted resource data, and perform resource optimization analysis based on the predicted resource data to determine the resource optimization strategy.

[0026] For the embodiments of the present application, compared with the rigid resource allocation strategy, the target resource data is mined and analyzed using big data technology to discover the patterns and trends of resource usage in the computer room, which helps to predict future resource needs in advance, thereby allocating and optimizing resources in advance, avoiding resource waste or resource shortages, and improving resource utilization efficiency in the dynamic environment monitoring system.

[0027] Specifically, the target resource data is mined and analyzed using big data analysis technology to determine predicted resource data, which is used to characterize the rules and trends of resource usage in various dimensions of the computer room in the future. There are many ways to implement mining and analysis, and the embodiments of the present application are no longer limited. In one achievable method, mining and analysis are performed based on the power resource data and water resource data in the energy resource data to determine predicted power resource data and predicted water resource data; mining and analysis are performed based on the equipment operating status and equipment capacity utilization in the equipment resource data to determine predicted equipment operating status and predicted equipment capacity utilization; mining and analysis are performed based on the computer room space layout and storage space utilization in the space resource data to determine predicted space layout report and predicted storage space utilization; mining and analysis are performed based on personnel resource data to determine predicted personnel resource report; and predicted power resource data, predicted water resource data, predicted equipment operating status, predicted equipment capacity utilization, predicted space layout report, predicted storage space utilization, and predicted personnel resource report are comprehensively predicted to determine predicted resource data.

[0028] Furthermore, a resource optimization analysis is performed based on the predicted resource data to determine a resource optimization strategy. The resource optimization strategy is an adjustment strategy formulated based on the predicted resource data and current resource usage to optimize resource utilization in the computer room, including but not limited to: optimizing power supply strategy, optimizing water supply strategy, optimizing maintenance strategy, optimizing equipment capacity strategy, optimizing space layout strategy, optimizing storage strategy and optimizing personnel allocation strategy. For the specific content of the resource optimization strategy, users can set it according to actual conditions, and the embodiments of the present application will no longer limit it. There are many specific implementation methods for resource optimization analysis. In one feasible method, power resources are optimized based on predicted power resource data to determine the optimized power supply strategy, and water resources are optimized based on predicted water resource data to determine the optimized water resource supply strategy; equipment maintenance plan is optimized based on predicted equipment operation status to determine the optimized maintenance strategy, and capacity utilization is optimized based on predicted equipment capacity utilization to determine the optimized equipment capacity strategy; space layout is optimized based on predicted space layout report to determine the optimized space layout strategy, and storage space is optimized based on predicted storage space utilization to determine the optimized storage strategy; personnel allocation is optimized based on predicted personnel resource report to determine the optimized personnel allocation strategy, and the power supply strategy, water resource supply strategy, maintenance strategy, equipment capacity strategy, space layout strategy, storage strategy and personnel allocation strategy are comprehensively optimized to determine the resource optimization strategy.

[0029] Step S103: Adjust the resource equipment in the dynamic environment monitoring system according to the resource optimization strategy. When the implementation feedback instruction is detected, obtain the resource feedback data under the resource optimization strategy, and evaluate the optimization effectiveness of the resource optimization strategy based on the resource feedback data to determine the optimization effectiveness evaluation result.

[0030] For the embodiment of the present application, the resource optimization strategy records the optimization adjustment object and the optimization adjustment information. Therefore, based on the resource optimization adjustment, the optimization adjustment information is sent to the optimization adjustment object to control the optimization adjustment object to operate according to the optimization adjustment information, thereby avoiding resource waste or resource shortage and improving the resource utilization efficiency in the dynamic environment monitoring system. The formulation of the resource optimization strategy is a theoretical optimization strategy obtained based on a series of analyses of target resource data, mining analysis and resource optimization analysis, but in the actual operation process it is often affected by many factors, such as environmental changes, equipment aging and other factors. Therefore, introducing a feedback mechanism in the actual application of the resource optimization strategy to verify the effectiveness of the resource optimization strategy helps to promptly discover deficiencies in the strategy and make timely adjustments, thereby improving the effectiveness of the resource optimization strategy.

[0031] Specifically, a policy verification observation period is pre-set in the electronic device. When the resource optimization policy is sent to the resource device and the duration of the resource optimization policy execution reaches the policy verification observation period, a real-time feedback instruction is automatically generated to prompt the electronic device to perform an optimization effectiveness evaluation on the resource optimization policy. Therefore, when the implementation feedback instruction is detected, the resource feedback data under the resource optimization policy is obtained. The resource feedback data is the current multi-dimensional resource data after the resource device executes the policy verification observation period according to the resource optimization policy, which is used to reflect the current working status of the resource equipment in the computer room. Furthermore, the resource optimization policy is optimized based on the resource feedback data to determine the optimization effectiveness evaluation result, that is, the effectiveness evaluation index is pre-set in the electronic device, and the effectiveness evaluation index includes but is not limited to: energy consumption reduction rate, stability improvement degree, spatial layout rationality, etc. For the specific content of the effectiveness evaluation index, the user can set it according to the actual situation, and the embodiment of the present application is no longer limited. There are many specific implementation methods for optimization effectiveness evaluation. In another feasible method, the expected resource data corresponding to the resource optimization strategy is obtained, and the optimization effectiveness evaluation is performed based on the expected resource data and the resource feedback data to determine the optimization effectiveness evaluation results, wherein the optimization effectiveness evaluation results include: optimization failure and optimization achievement.

[0032] Step S104: When the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data is that the optimization meets the standard.

[0033] For the embodiments of the present application, when the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized, that is, based on the currently acquired resource feedback data, mining analysis and resource optimization analysis operations are performed to determine an iterative resource optimization strategy that matches the current resource feedback data, and the resource equipment in the dynamic environment monitoring system is adjusted according to the iterative resource optimization strategy. After reaching the strategy verification observation period, the resource feedback data is reacquired, and the resource optimization strategy is evaluated for optimization effectiveness based on the resource feedback data to determine the optimization effectiveness evaluation result until the optimization effectiveness evaluation result corresponding to the resource feedback data is that the optimization meets the standard. Introducing a feedback mechanism to verify the effectiveness of the resource optimization strategy in the actual application of the resource optimization strategy helps to promptly discover deficiencies in the strategy and make timely adjustments to improve the effectiveness of the resource optimization strategy, thereby improving the resource utilization of the dynamic environment monitoring system.

[0034] It can be seen that in the embodiment of the present application, multi-dimensional resource data is obtained, and pre-processing is performed based on the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data. Then, the target resource data is mined and analyzed using big data analysis technology to determine the predicted resource data, and resource optimization analysis is performed based on the predicted resource data to determine the resource optimization strategy. Compared with the rigid resource allocation strategy, the use of big data technology to mine and analyze the target resource data can find the rules and trends of resource use in the computer room, which helps to predict future resource needs in advance, thereby allocating and optimizing resources in advance, avoiding resource waste or resource shortage, so as to improve the resource utilization efficiency in the dynamic environment monitoring system. Then, the resource equipment in the dynamic environment monitoring system is adjusted according to the resource optimization strategy. When the implementation feedback instruction is detected, the resource feedback data under the resource optimization strategy is obtained, and the optimization effectiveness evaluation of the resource optimization strategy is performed based on the resource feedback data. When the optimization effectiveness evaluation result is that the optimization does not meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data is optimized. Introducing a feedback mechanism in the actual application of resource optimization strategies to verify the effectiveness of resource optimization strategies can help to promptly discover deficiencies in the strategies and make timely adjustments to improve the effectiveness of resource optimization strategies, thereby improving the resource utilization of the dynamic environment monitoring system.

[0035] Furthermore, in order to help predict future resource needs in advance and identify bottlenecks and waste in the use of various resources, in the embodiment of the present application, big data analysis technology is used to mine and analyze the target resource data to determine the predicted resource data, including: Mining and analyzing the power resource data and water resource data in the energy resource data to determine predicted power resource data and predicted water resource data; Mining and analyzing the equipment operation status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operation status and predicted equipment capacity utilization; Mining and analyzing the computer room space layout and storage space utilization in the space resource data to determine the predicted space layout report and predicted storage space utilization; Conduct mining and analysis based on human resource data to determine forecasted human resource reports; Comprehensively predict power resource data, water resource data, equipment operating status, equipment capacity utilization, space layout report, storage space utilization and personnel resource report to determine the predicted resource data.

[0036] For the embodiment of the present application, big data technology is used to conduct multi-dimensional mining and analysis of target resource data to discover the patterns and trends in the use of various resources in the computer room, which helps to predict future resource needs in advance and identify bottlenecks and waste in the use of various resources.

[0037] Specifically, mining and analysis are performed based on the power resource data and water resource data in the energy resource data to determine the predicted power resource data and predicted water resource data, wherein the power resource data includes but is not limited to: the power consumption of the power equipment in the computer room, the energy efficiency of the uninterruptible power supply, etc., and the water resource data includes but is not limited to: the consumption of cooling water, the circulation efficiency, etc. The mining and analysis process of the power resource data and the water resource data is as follows: feature extraction is performed from the power resource data and the water resource data to determine the power consumption features and the water resource consumption features, and the consumption features include but are not limited to: time features (date, time), equipment features (equipment type, power, etc.), and environmental features (temperature, humidity, etc.). Then, the extracted consumption features are analyzed using a data mining algorithm to determine the potential laws and trends of the power resource data and the water resource data, that is, the future power consumption trend is predicted using time series analysis. For water resource data, a comprehensive analysis can be performed in combination with parameters such as circulation efficiency. Furthermore, a prediction model is used to predict the future power resource data and water resource data based on the potential laws and trends determined based on the data mining analysis to determine the predicted power resource data and the predicted water resource data.

[0038] Mining and analyzing the equipment operating status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operating status and predicted equipment capacity utilization, where the equipment operating status includes but is not limited to: the load condition, operating efficiency, failure rate, etc. of the power equipment in the computer room, and the equipment capacity utilization includes but is not limited to: the ratio between the actual use capacity of the power equipment and its maximum capacity. The mining and analysis process of the equipment operating status and equipment capacity utilization is consistent with the above mining and analysis operation principle, and will not be repeated here.

[0039] Based on the computer room space layout and storage space utilization in the space resource data, mining and analysis are performed to determine the predicted space layout report and predicted storage space utilization, where the computer room space layout includes but is not limited to: the placement of power equipment, channel width, heat dissipation effect, etc., and storage space utilization includes but is not limited to: the usage of storage capacity of storage devices, data backup and recovery efficiency, etc. The mining and analysis process of computer room space layout and storage space utilization is consistent with the above mining and analysis operation principle, and will not be repeated here.

[0040] Mining and analyzing personnel resource data is performed to determine the predicted personnel resource report, where the personnel resource data includes but is not limited to: personnel task allocation, work scheduling and performance evaluation, etc. The mining and analysis process of equipment operation status and equipment capacity utilization is consistent with the above mining and analysis operation principle, and will not be repeated here. The mining and analysis process of personnel resource data is consistent with the above mining and analysis operation principle, and will not be repeated here.

[0041] It can be seen that in the embodiment of the present application, mining and analysis are performed based on the power resource data and water resource data in the energy resource data to determine the predicted power resource data and the predicted water resource data, and then mining and analysis are performed based on the equipment operating status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operating status and predicted equipment capacity utilization. Furthermore, mining and analysis are performed based on the computer room space layout and storage space utilization in the space resource data to determine the predicted space layout report and predicted storage space utilization. At the same time, mining and analysis are performed based on the personnel resource data to determine the predicted personnel resource report. Finally, the power resource data, the predicted water resource data, the predicted equipment operating status, the predicted equipment capacity utilization, the predicted space layout report, the predicted storage space utilization and the predicted personnel resource report are comprehensively predicted to determine the predicted resource data. Using big data technology to perform multi-dimensional mining and analysis on the target resource data, the laws and trends of the use of various resources in the computer room are discovered, which helps to predict future resource needs in advance and identify bottlenecks and waste in the use of various resources.

[0042] Furthermore, in order to avoid resource waste or resource shortage and improve resource utilization efficiency in the dynamic environment monitoring system, in an embodiment of the present application, a resource optimization analysis is performed based on the predicted resource data to determine a resource optimization strategy, including: Optimize power resources based on predicted power resource data and determine the optimal power supply strategy, and optimize water resources based on predicted water resource data and determine the optimal water resource supply strategy; Optimize equipment maintenance plans based on predicted equipment operating status and determine optimized maintenance strategies. Optimize capacity utilization based on predicted equipment capacity utilization and determine optimized equipment capacity strategies. Optimize the space layout based on the predicted space layout report and determine the optimized space layout strategy, and optimize the storage space based on the predicted storage space utilization and determine the optimized storage strategy; Optimize personnel allocation based on predicted personnel resource reports, determine the optimal personnel allocation strategy, and comprehensively optimize the power supply strategy, water resource supply strategy, maintenance strategy, equipment capacity strategy, space layout strategy, storage strategy and personnel allocation strategy to determine the resource optimization strategy.

[0043] For the embodiment of the present application, after the mining and analysis operation, future resource requirements are predicted in advance, so that resource allocation and optimization are performed in advance to avoid resource waste or resource shortage, so as to improve the resource utilization efficiency in the dynamic environment monitoring system.

[0044] Specifically, based on the predicted power resource data, power resource optimization is performed to determine the optimized power supply strategy, where the optimized power supply strategy is used to reasonably and flexibly dispatch power resources to ensure that the power supply can meet the normal operation of power equipment and ensure the stability of power supply in the computer room. Furthermore, based on the predicted water resource data, water resource optimization is performed to determine the optimized water resource supply strategy, where the water resource supply strategy is used to improve the flexibility and reliability of water resource utilization, so as to achieve reasonable allocation of water resources and ensure the sustainable use of water resources.

[0045] Furthermore, the equipment maintenance plan is optimized based on the predicted equipment operating status, and the optimized maintenance strategy is determined. The optimized maintenance strategy can perform preventive maintenance before a failure occurs, thereby improving the accuracy and efficiency of power equipment maintenance. At the same time, capacity utilization is optimized based on the predicted equipment capacity utilization, and the optimized equipment capacity strategy is determined. The optimized equipment capacity strategy is used to reasonably arrange the operating time and load of power equipment, thereby improving the capacity utilization of power equipment.

[0046] Based on the predicted space layout report, the space layout is optimized and the optimized space layout strategy is determined. The optimized space layout strategy is used to optimize the layout of power equipment, avoid space waste, and ensure that each power equipment can be reasonably installed and configured, thereby improving the overall space utilization of the computer room. At the same time, storage space optimization is performed based on the predicted storage space utilization, and the optimized storage strategy is determined. The optimized storage strategy is used to reasonably allocate storage space resources, improve storage efficiency and reduce storage costs.

[0047] Then, based on the predicted personnel resource report, the staffing optimization is carried out to determine the optimal staffing strategy, where the optimal staffing strategy is used to rationally allocate human resources to avoid excess or shortage of personnel, thereby improving the efficiency of staffing. Finally, the power supply strategy, water supply strategy, maintenance strategy, equipment capacity strategy, space layout strategy, storage strategy and staffing strategy are comprehensively optimized to determine the resource optimization strategy.

[0048] It can be seen that in the embodiment of the present application, power resource optimization is performed based on the predicted power resource data to determine the optimized power supply strategy, and water resource optimization is performed based on the predicted water resource data to determine the optimized water resource supply strategy. Furthermore, the equipment maintenance plan is optimized based on the predicted equipment operation status to determine the optimized maintenance strategy, and the capacity utilization is optimized based on the predicted equipment capacity utilization to determine the optimized equipment capacity strategy. At the same time, the spatial layout is optimized based on the predicted spatial layout report to determine the optimized spatial layout strategy, and the storage space is optimized based on the predicted storage space utilization to determine the optimized storage strategy. Finally, the personnel configuration is optimized based on the predicted personnel resource report to determine the optimized personnel configuration strategy, and the power supply strategy, water resource supply strategy, maintenance strategy, equipment capacity strategy, spatial layout strategy, storage strategy and personnel configuration strategy are comprehensively optimized to determine the resource optimization strategy. After the mining and analysis operation, the future resource demand is predicted in advance, so that resource allocation and optimization are carried out in advance to avoid resource waste or resource shortage, so as to improve the resource utilization efficiency in the dynamic environment monitoring system.

[0049] Furthermore, in order to make the characteristics of the optimization strategy more accurate, give priority to the needs of high-priority resources, and ensure the stable operation of key services in the computer room, in the embodiment of the present application, the power supply strategy, the water supply strategy, the maintenance strategy, the equipment capacity strategy, the space layout strategy, the storage strategy, and the personnel allocation strategy are comprehensively optimized. After determining the resource optimization strategy, it also includes: Based on the resource optimization strategy, an optimization strategy type analysis is performed to determine the optimization strategy type of each target optimization strategy, wherein the optimization strategy types include: dynamic adjustment optimization strategy, long-term planning optimization strategy, wherein the target optimization strategy is any one of the power supply optimization strategy, water resource supply optimization strategy, maintenance optimization strategy, equipment capacity optimization strategy, space layout optimization strategy, storage optimization strategy and personnel allocation optimization strategy; Perform optimization strategy priority analysis based on resource optimization strategies to determine the optimization strategy priority of each target optimization strategy; Based on the optimization strategy priority and optimization strategy type of each target optimization strategy, the resource optimization strategy is characterized and marked to obtain the marked resource optimization strategy.

[0050] For the embodiments of the present application, due to the complexity of the resource demand conditions in the computer room, the execution period of each optimization strategy in the resource optimization strategy is different. When some resource demands show periodic changes, the optimization strategy corresponding to the resource demands is also short-term and periodic, and needs to be dynamically implemented according to the changes in resource demands; when some resource demands show permanent changes, the optimization strategy corresponding to the resource demands is long-term. Therefore, in order to make the characteristics of the optimization strategy more accurate, an optimization strategy type analysis is performed based on the resource optimization strategy to determine the optimization strategy type of each target optimization strategy, wherein the optimization strategy types include: dynamic adjustment optimization strategy, long-term planning optimization strategy, that is, the optimization strategy type is determined based on the change characteristics of the predicted resource data corresponding to the target optimization strategy.

[0051] Furthermore, an optimization strategy priority analysis is performed based on the resource optimization strategy to determine the optimization strategy priority of each target optimization strategy, that is, the importance, urgency, implementation cost-effectiveness ratio, etc. of the optimization strategy are comprehensively considered when performing the optimization strategy priority analysis. The specific priority evaluation criteria are no longer limited in this embodiment of the application, and users can set them according to actual needs. Performing the optimization strategy priority analysis gives priority to the needs of high-priority resources and ensures the stable operation of key businesses in the computer room. Finally, based on the optimization strategy priority and optimization strategy type of each target optimization strategy, the resource optimization strategy is characterized and the marked resource optimization strategy is obtained.

[0052] It can be seen that in the embodiment of the present application, in order to make the characteristics of the optimization strategy more accurate, an optimization strategy type analysis is performed based on the resource optimization strategy to determine the optimization strategy type of each target optimization strategy. Then, an optimization strategy priority analysis is performed based on the resource optimization strategy to determine the optimization strategy priority of each target optimization strategy. The optimization strategy priority analysis is performed to give priority to the needs of high-priority resources and ensure the stable operation of key businesses in the computer room. Finally, based on the optimization strategy priority and optimization strategy type of each target optimization strategy, the resource optimization strategy is marked with characteristics to obtain the marked resource optimization strategy.

[0053] Further, in order to facilitate the computer room maintenance personnel to manually judge the feasibility of the resource optimization strategy and improve the accuracy and operability of the resource optimization strategy, in the embodiment of the present application, after performing resource optimization analysis based on the predicted resource data and determining the resource optimization strategy, it also includes: Obtain a three-dimensional model of the computer room, and use holographic data modeling technology to perform three-dimensional visualization of the three-dimensional model of the computer room to obtain a virtual three-dimensional image of the computer room; Predicted resource data and resource optimization strategies are added to the virtual 3D image of the computer room to facilitate computer room maintenance personnel to manually judge the feasibility of resource optimization strategies.

[0054] For the embodiments of the present application, the resource data management method in the dynamic environment monitoring system usually involves a large amount of predicted resource data and resource optimization strategies, but these data are often complex and difficult to understand intuitively. In order to facilitate the computer room maintenance personnel to intuitively understand the resource data status of the computer room and the implementation of the resource optimization strategy, these complex data and information are presented in a three-dimensional visual manner through holographic projection technology, which is convenient for the computer room maintenance personnel to manually judge the feasibility of the resource optimization strategy, thereby improving the accuracy and operability of the resource optimization strategy.

[0055] Specifically, a three-dimensional model of the computer room is obtained, which can accurately and comprehensively display the overall deployment of the computer room and the internal power equipment. The three-dimensional model of the computer room is obtained by three-dimensional modeling of the computer room using professional modeling software, and accurately restores the appearance shape, size, interface position and other detailed features of each power equipment in the computer room. Holographic projection technology is based on the principles of interference and diffraction, and realizes three-dimensional visualization by recording and reproducing the real three-dimensional image of the object. Therefore, the hardware equipment required for holographic projection is pre-deployed, such as holographic projection equipment, laser transmitter, holographic film, etc., and the quality and performance of the equipment are ensured to meet the three-dimensional visualization requirements of the three-dimensional model of the computer room. Then, the constructed three-dimensional model of the computer room is imported into the holographic projection equipment, and the projection parameters are adjusted to ensure that the three-dimensional model of the computer room can be clearly presented in the holographic projection, and a virtual three-dimensional image of the computer room is obtained. Then, the predicted resource data and resource optimization strategy are added to the virtual three-dimensional image of the computer room to ensure that the data in the virtual three-dimensional image of the computer room is updated synchronously with the actual data. Of course, interactive functions can also be set in the virtual three-dimensional image of the computer room, such as clicking, dragging, zooming, etc., to ensure that the computer room maintenance personnel can view the computer room conditions at the location of interest in an interactive manner.

[0056] It can be seen that in the embodiment of the present application, a three-dimensional model of the computer room is obtained, and the three-dimensional model of the computer room is visualized in three dimensions using holographic data modeling technology to obtain a virtual three-dimensional image of the computer room. Then, based on the predicted resource data and resource optimization strategy, it is added to the virtual three-dimensional image of the computer room to facilitate the computer room maintenance personnel to manually judge the feasibility of the resource optimization strategy. Through holographic projection technology, these complex data and information are presented in a three-dimensional visualized manner, which is convenient for computer room maintenance personnel to manually judge the feasibility of the resource optimization strategy, and improves the accuracy and operability of the resource optimization strategy.

[0057] Furthermore, in order to improve the effectiveness of the resource optimization strategy and thus improve the resource utilization of the dynamic environment monitoring system, in an embodiment of the present application, the resource optimization strategy is optimized based on the resource feedback data to evaluate the effectiveness of the optimization, and the optimization effectiveness evaluation result is determined, including: Obtain the expected resource data corresponding to the resource optimization strategy, perform optimization effectiveness evaluation based on the expected resource data and resource feedback data, and determine the optimization effectiveness evaluation result.

[0058] For the embodiment of the present application, when determining the resource optimization strategy, the ideal optimization index corresponding to the resource optimization strategy will be determined in advance. The ideal optimization index gives the optimization of resource data at multiple dimensions under theoretical conditions, for example, the percentage of space utilization improvement, the percentage of storage efficiency improvement, the percentage of failure rate reduction, the percentage of capacity utilization improvement, etc. Then, based on the target resource data and the ideal optimization index, the expected data is calculated to determine the expected resource data. After that, the optimization effectiveness evaluation is performed based on the expected resource data and the resource feedback data, that is, an effectiveness index is pre-set in the electronic device. If the difference between the expected resource data and the resource feedback data is within the effectiveness index, the optimization effectiveness evaluation result is determined to be optimized to meet the standard; otherwise, it is determined that the optimization does not meet the standard; the above effectiveness index is obtained by relevant technical personnel in resource optimization based on a large number of experimental tests. By comparing the expected resource data and the resource feedback data, the effect of the resource optimization strategy in actual application can be clearly understood, which helps to timely discover the deficiencies in the strategy and make timely adjustments to improve the effectiveness of the resource optimization strategy, thereby improving the resource utilization of the dynamic environment monitoring system.

[0059] It can be seen that in the embodiment of the present application, the expected resource data corresponding to the resource optimization strategy is obtained, and the optimization effectiveness evaluation is performed based on the expected resource data and the resource feedback data to determine the optimization effectiveness evaluation result. Performing the optimization effectiveness evaluation helps to timely discover deficiencies in the strategy and make timely adjustments to improve the effectiveness of the resource optimization strategy, thereby improving the resource utilization of the dynamic environment monitoring system.

[0060] The above embodiment introduces a resource data management method from the perspective of method flow, and the following embodiment introduces a resource data management system from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0061] The present application embodiment provides a resource data management system, such as Figure 2 As shown, the resource data management system may specifically include: The resource data acquisition module 210 is used to obtain multi-dimensional resource data and pre-process the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data; The data mining and analysis module 220 is used to mine and analyze the target resource data using big data analysis technology to determine the predicted resource data, and to perform resource optimization analysis based on the predicted resource data to determine the resource optimization strategy; The optimization effectiveness evaluation module 230 is used to adjust the resource equipment in the dynamic environment monitoring system according to the resource optimization strategy, obtain the resource feedback data under the resource optimization strategy when the feedback instruction is detected, and evaluate the optimization effectiveness of the resource optimization strategy based on the resource feedback data to determine the optimization effectiveness evaluation result; The strategy iteration optimization module 240 is used to iteratively optimize the resource optimization strategy when the optimization effectiveness evaluation result is that the optimization fails to meet the standard, until the optimization effectiveness evaluation result corresponding to the resource feedback data is that the optimization meets the standard.

[0062] In a possible implementation of the embodiment of the present application, the data mining and analysis module 220, when performing mining and analysis on the target resource data using the big data analysis technology to determine the predicted resource data, is used to: Mining and analyzing the power resource data and water resource data in the energy resource data to determine predicted power resource data and predicted water resource data; Mining and analyzing the equipment operation status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operation status and predicted equipment capacity utilization; Mining and analyzing the computer room space layout and storage space utilization in the space resource data to determine the predicted space layout report and predicted storage space utilization; Conduct mining and analysis based on human resource data to determine forecasted human resource reports; Comprehensively predict power resource data, water resource data, equipment operating status, equipment capacity utilization, space layout report, storage space utilization and personnel resource report to determine the predicted resource data.

[0063] In a possible implementation of the embodiment of the present application, the data mining and analysis module 220, when performing resource optimization analysis based on predicted resource data and determining a resource optimization strategy, is used to: Optimize power resources based on predicted power resource data and determine the optimal power supply strategy, and optimize water resources based on predicted water resource data and determine the optimal water resource supply strategy; Optimize equipment maintenance plans based on predicted equipment operating status and determine optimized maintenance strategies. Optimize capacity utilization based on predicted equipment capacity utilization and determine optimized equipment capacity strategies. Optimize the space layout based on the predicted space layout report and determine the optimized space layout strategy, and optimize the storage space based on the predicted storage space utilization and determine the optimized storage strategy; Optimize personnel allocation based on predicted personnel resource reports, determine the optimal personnel allocation strategy, and comprehensively optimize the power supply strategy, water resource supply strategy, maintenance strategy, equipment capacity strategy, space layout strategy, storage strategy and personnel allocation strategy to determine the resource optimization strategy.

[0064] A possible implementation of the embodiment of the present application also includes: A characteristic marking module is used to analyze the optimization strategy type based on the resource optimization strategy, and determine the optimization strategy type of each target optimization strategy, wherein the optimization strategy types include: dynamic adjustment optimization strategy, long-term planning optimization strategy, wherein the target optimization strategy is any one of the power supply optimization strategy, water resource supply optimization strategy, maintenance optimization strategy, equipment capacity optimization strategy, space layout optimization strategy, storage optimization strategy and personnel allocation optimization strategy; Perform optimization strategy priority analysis based on resource optimization strategies to determine the optimization strategy priority of each target optimization strategy; Based on the optimization strategy priority and optimization strategy type of each target optimization strategy, the resource optimization strategy is characterized and marked to obtain the marked resource optimization strategy.

[0065] A possible implementation of the embodiment of the present application also includes: A holographic projection module is used to obtain a three-dimensional model of the computer room, and to visualize the three-dimensional model of the computer room using holographic data modeling technology to obtain a virtual three-dimensional image of the computer room; Predicted resource data and resource optimization strategies are added to the virtual 3D image of the computer room to facilitate computer room maintenance personnel to manually judge the feasibility of resource optimization strategies.

[0066] In a possible implementation of the embodiment of the present application, when the optimization effectiveness evaluation module 230 performs optimization effectiveness evaluation on the resource optimization strategy based on the resource feedback data and determines the optimization effectiveness evaluation result, it is used to: Obtain the expected resource data corresponding to the resource optimization strategy, perform optimization effectiveness evaluation based on the expected resource data and resource feedback data, and determine the optimization effectiveness evaluation result.

[0067] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of a resource data management system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0068] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0069] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0070] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0071] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0072] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0073] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0074] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0075] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0076] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0077] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A resource data management method, characterized in that: include: Acquire multi-dimensional resource data, and perform preprocessing based on the multi-dimensional resource data to obtain target resource data, wherein the target resource data includes: energy resource data, equipment resource data, space resource data and personnel resource data; Using big data analysis technology to mine and analyze the target resource data, determine predicted resource data, and perform resource optimization analysis based on the predicted resource data to determine a resource optimization strategy; Adjusting resource equipment in the dynamic environment monitoring system according to the resource optimization strategy, obtaining resource feedback data under the resource optimization strategy when a feedback instruction is detected, and evaluating the optimization effectiveness of the resource optimization strategy based on the resource feedback data to determine an optimization effectiveness evaluation result; When the optimization effectiveness evaluation result is that the optimization fails to meet the standard, the resource optimization strategy is iteratively optimized until the optimization effectiveness evaluation result corresponding to the resource feedback data is that the optimization meets the standard.

2. The resource data management method according to claim 1, characterized in that: The method of mining and analyzing the target resource data using big data analysis technology to determine predicted resource data includes: Performing mining analysis based on the power resource data and water resource data in the energy resource data to determine predicted power resource data and predicted water resource data; Performing mining analysis based on the equipment operation status and equipment capacity utilization in the equipment resource data to determine the predicted equipment operation status and predicted equipment capacity utilization; Performing mining analysis based on the computer room space layout and storage space utilization in the space resource data to determine a predicted space layout report and predicted storage space utilization; Performing mining analysis based on the personnel resource data to determine a forecast personnel resource report; The predicted resource data is determined by comprehensively considering the predicted power resource data, the predicted water resource data, the predicted equipment operating status, the predicted equipment capacity utilization, the predicted space layout report, the predicted storage space utilization and the predicted personnel resource report.

3. The resource data management method according to claim 2, characterized in that: The performing resource optimization analysis based on the predicted resource data to determine a resource optimization strategy includes: Optimizing power resources based on the predicted power resource data to determine an optimized power supply strategy, and optimizing water resources based on the predicted water resource data to determine an optimized water resource supply strategy; Optimizing the equipment maintenance plan based on the predicted equipment operating status to determine an optimized maintenance strategy, and optimizing the capacity utilization based on the predicted equipment capacity utilization to determine an optimized equipment capacity strategy; Optimizing the spatial layout based on the predicted spatial layout report to determine an optimized spatial layout strategy, and optimizing the storage space based on the predicted storage space utilization to determine an optimized storage strategy; Based on the predicted personnel resource report, personnel allocation optimization is performed to determine the optimized personnel allocation strategy, and the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized personnel allocation strategy are integrated to determine the resource optimization strategy.

4. The resource data management method according to claim 3, characterized in that: After the resource optimization strategy is determined by comprehensively analyzing the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized personnel allocation strategy, the further step includes: An optimization strategy type analysis is performed based on the resource optimization strategy to determine the optimization strategy type of each target optimization strategy, wherein the optimization strategy types include: a dynamic adjustment optimization strategy and a long-term planning optimization strategy, wherein the target optimization strategy is any one of the optimized power supply strategy, the optimized water resource supply strategy, the optimized maintenance strategy, the optimized equipment capacity strategy, the optimized space layout strategy, the optimized storage strategy and the optimized staffing strategy; Performing an optimization strategy priority analysis based on the resource optimization strategy to determine the optimization strategy priority of each target optimization strategy; Based on the optimization strategy priority and the optimization strategy type of each target optimization strategy, the resource optimization strategy is characterized and marked to obtain a marked resource optimization strategy.

5. The resource data management method according to claim 1, characterized in that: After performing resource optimization analysis based on the predicted resource data and determining a resource optimization strategy, the method further includes: Obtain a three-dimensional model of the computer room, and use holographic data modeling technology to perform three-dimensional visualization of the three-dimensional model of the computer room to obtain a virtual three-dimensional image of the computer room; The predicted resource data and the resource optimization strategy are added to the virtual three-dimensional image of the computer room, so that the computer room maintenance personnel can manually judge the feasibility of the resource optimization strategy.

6. The resource data management method according to claim 1, characterized in that: The performing optimization effectiveness evaluation on the resource optimization strategy based on the resource feedback data and determining the optimization effectiveness evaluation result includes: The expected resource data corresponding to the resource optimization strategy is obtained, and an optimization effectiveness evaluation is performed based on the expected resource data and the resource feedback data to determine an optimization effectiveness evaluation result.

7. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the resource data management method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the resource data management method according to any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises a computer program, wherein the computer program is executed by a processor to execute the resource data management method according to any one of claims 1 to 6.

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