Computer network hardware equipment installation method

Abstract

The invention discloses a computer network hardware equipment installation method, which relates to the technical field of computer networks and is realized by adopting a performance parameter input module, a performance parameter reading and preprocessing module, a comprehensive calculation and processing module, an equipment parameter management module and a performance output module. When a user installs computer network hardware equipment, new network configuration can be input by the input equipment through basic performance parameters of the input equipment; the system verifies that input parameters, network configuration and comprehensive calculation results are stored in a database, equipment basic performance parameters stored in the database and a data transmission rate obtained from a network configuration module are read, various equipment performance parameters stored in the database are read, and validity of the parameters is verified; the method is realized through the comprehensive calculation processing module. New performance evaluation of the equipment and comprehensive performance obtained through comprehensive calculation are read from the database, and the results are displayed to a user through an interface.

Description

Technical Field

[0001] The present invention relates to the technical field of computer networks, and in particular to a method for installing computer network hardware equipment. Background Art

[0002] The background technology of computer network hardware device installation method mainly focuses on how to ensure the compatibility and efficiency of hardware devices and network environment. With the continuous development of network technology and the improvement of equipment performance, traditional hardware installation methods can no longer meet the needs of modern network systems. Therefore, there is a need for an installation method that can comprehensively consider network configuration and equipment performance to achieve more efficient and stable network system operation.

[0003] At present, existing technologies face certain challenges and shortcomings in equipment performance evaluation, network configuration and data transmission, and comprehensive calculation of equipment performance parameters. These challenges and shortcomings are mainly reflected in the inconsistency and slow update of evaluation standards, incompleteness and uneven quality of evaluation data, subjectivity and cumbersomeness of evaluation methods, strict requirements on data transmission rate, consideration of environmental noise and impedance, complexity and flexibility of calculation, and dependency management and learning costs. In order to overcome these challenges and shortcomings, it is necessary to continuously strengthen technology research and development and innovation, improve evaluation standards and methods, improve data quality and evaluation efficiency, and reduce the difficulty and cost of calculation and learning. Summary of the invention

[0004] The purpose of the present invention is to provide a method for installing computer network hardware equipment, which solves the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, using: Implementation of performance parameter input module, performance parameter reading preprocessing module, comprehensive calculation processing module, equipment parameter management module and performance output module; The specific implementation process is as follows: Performance parameter input: When installing computer network hardware equipment, users can enter new network configurations by inputting basic performance parameters of the equipment; Performance parameter reading preprocessing: The system verification input parameters, network configuration and comprehensive calculation results are stored in the database, the basic performance parameters of the equipment stored in the database and the data transmission rate obtained from the network configuration module are read, and various performance parameters of the equipment stored in the database are read; Device parameter management: It is implemented by the comprehensive calculation processing module, and the comprehensive calculation processing module module includes: Device performance evaluation algorithm unit, network bandwidth requirement algorithm unit, and network configuration optimization and data transmission rate algorithm unit; The processing steps of the comprehensive calculation processing module are as follows: First, a comprehensive evaluation is conducted on the performance parameters of the hardware input, and a more comprehensive performance evaluation value is obtained based on the hardware comprehensive performance evaluation value, the heat dissipation efficiency change index, and the data transmission rate change index; Next, a relatively comprehensive performance evaluation value is substituted into the network bandwidth demand algorithm unit to obtain a network bandwidth demand index based on the sum of the bandwidth support degree value and the bandwidth increase degree value; Then, the network bandwidth demand index under the sum of the bandwidth support degree value and the bandwidth increase degree value is substituted into the network configuration optimization and data transmission rate algorithm unit to obtain the data transmission rate change index; and, substituting the network bandwidth demand index, the delay variation index, the transmission error index and the data retransmission index into the network configuration optimization and data transmission rate algorithm unit to obtain a degree value of accurately optimizing the network configuration; Afterwards, the calculated change in the network configuration change factor will immediately affect the data transmission rate change index, and then be reflected in the performance evaluation value in real time through the calculation of the device performance evaluation algorithm unit. This enables the system to quickly respond to changes in network conditions and adjust the working status or strategy of the device accordingly. Finally, decisions are made or corresponding actions are taken based on the output of the new performance evaluation value. Performance output: The new performance evaluation and comprehensive performance of the equipment are read from the database, and these results are displayed to the user through the interface, or a report is generated for the user to download or print.

[0006] Optionally, the device performance evaluation algorithm unit is as follows: ; ; in: SN is the performance evaluation value; SD is the processor speed variation index; RL is the total memory capacity; CC is the storage read and write rate value; SE is the heat dissipation efficiency variation index; CH is the data transmission rate change index; C is the comprehensive hardware performance evaluation value, which reflects the core processing capability of the device including the processor speed variation index SD, the total memory capacity RL and the storage read and write rate CC.

[0007] Optionally, the network bandwidth requirement algorithm unit is as follows: ; ; ; in: XH is the network bandwidth demand index; SN is the performance evaluation value; F is the network load index; Y is the concurrent user index; B is the data packet change index; EY is the extra bandwidth demand index; KD is the bandwidth support value; it reflects the impact of the performance evaluation value SN, network load index F and concurrent user index Y on the bandwidth support level; EK is the value of the bandwidth increase demand, which reflects the impact of B and the additional bandwidth demand index EY on the bandwidth increase demand.

[0008] Optionally, the network configuration optimization and data transmission rate algorithm unit is as follows: ; ; in: CH is the data transmission rate change index; NC is the network configuration change factor; XH is the network bandwidth demand index; YX is the delay variation index; P is the transmission error index; M is the data retransmission index; V is the degree of accurate optimization of network configuration; it reflects the accuracy of network optimization.

[0009] Optionally, the network configuration optimization and data transmission rate algorithm unit is further as follows: S1. Set the value of ZDH to 3 and the value of LDH to 0.6. ZDH is the maximum value of the rate change, LDH is the minimum value of the rate change, CH is the data transmission rate change index, and NC is the network configuration change factor. Configure the change factor for the new network; S2, when When , it is considered that the degree value of accurate optimization of network configuration and the network configuration change factor have undergone positive changes, and the network configuration can be further optimized to reduce costs or improve other performance indicators, thereby outputting ; S3, when When the network configuration is accurately optimized, the value of the degree of network configuration optimization and the network configuration change factor have changed negatively, and it is necessary to adjust the network configuration or consider upgrading the hardware to improve the performance of the device, thereby outputting ; S4. When , we believe that it is within the acceptable range, and we can continue the current configuration and operation, so that the output NC value remains unchanged. Optionally, the performance parameter input module and the performance parameter reading preprocessing module include: A performance parameter and network configuration input unit, a performance and data transmission rate calculation unit and a performance output unit, wherein the performance parameter and network configuration input unit retrieves historical parameter data from a data storage device through the system.

[0010] Optionally, the performance parameter and network configuration input unit and the performance and data transmission rate calculation unit respectively use the same user input device of the performance parameter input unit and the same calculation device of the performance calculation unit.

[0011] Optionally, the performance parameter and network configuration input unit uses a keyboard, mouse, and touch screen device to input the basic performance of the device, and the performance output unit uses a display and console device to display the performance evaluation results. The hardware device for installing and inputting the performance parameter and network configuration input unit is a core switch.

[0012] Compared with the prior art, the present invention has the following beneficial effects: accuracy: By directly correlating network configuration and device performance, the system is able to more accurately assess the current network and device status, which helps avoid device performance degradation due to network bottlenecks, thereby improving overall system efficiency and stability.

[0013] Optimizing decisions: When the performance evaluation value decreases due to changes in network configuration, the system can make optimization decisions based on this new performance evaluation, such as adjusting the network configuration, upgrading hardware equipment, or optimizing software algorithms. This decision-making process based on real-time performance evaluation can more effectively utilize system resources and improve the overall performance of the system.

[0014] Scalability: This hardware device installation has good scalability. With the continuous development of network technology and device performance, we can easily modify or expand the parameters of the network configuration optimization and data transmission rate algorithm unit and the device performance evaluation algorithm unit to adapt to new network environments and device requirements.

[0015] flexibility: Since the relationship between network configuration and device performance is established through mathematical formulas, the system can flexibly handle various complex network environments and device configurations. Whether it is the performance evaluation of a single device or the performance optimization of the entire network system, it can be achieved by adjusting these formulas.

[0016] Predictability: Through the calculation of the network configuration optimization and data transmission rate algorithm unit and the device performance evaluation algorithm unit, we can predict the performance of the device under different network configurations. This has important guiding significance for network planning and equipment selection, and can help us avoid potential performance bottlenecks in the design stage.

[0017] Automated Management: Based on this hardware device installation, we can develop an automated network management system that monitors changes in network configuration and device performance in real time and automatically adjusts network parameters or device configuration to optimize system performance. This can greatly reduce the complexity and cost of network management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A method flow chart of the computer network hardware device installation method; Figure 2 The figure is a schematic diagram of the overall structure of the computer network hardware device installation method.

[0019] Figure 3 It is a structural schematic diagram of the comprehensive calculation processing module of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Regarding the computer network hardware equipment installation method, it is different from the existing technology in that it faces certain challenges and shortcomings in equipment performance evaluation, network configuration and data transmission, and comprehensive calculation of equipment performance parameters. The algorithm unit provides a new perspective and tool for computer network hardware equipment installation through the method of combining the calculation of the equipment performance evaluation algorithm unit, the network bandwidth requirement algorithm unit, and the network configuration optimization and data transmission rate algorithm unit. It can more accurately evaluate the performance of the equipment in the network environment and provide targeted optimization suggestions. Through continuous research and improvement, the accuracy and practicality of hardware equipment installation can be further improved.

[0022] For example, see Figures 1 to 3 ,This implementation provides a computer network hardware device installation method which is implemented by a performance parameter input module, a performance parameter reading preprocessing module, a comprehensive calculation processing module, a device parameter management module and a performance output module; The specific steps are as follows: Performance parameter input: When installing computer network hardware equipment, users can input the basic performance parameters of the equipment and input new network configurations into the equipment; Performance parameter reading preprocessing: store the system verification input parameters, network configuration and comprehensive calculation results in the database, read the basic performance parameters of the equipment stored in the database and the data transmission rate obtained from the network configuration module, read the various performance parameters of the equipment stored in the database, and verify the validity of these parameters; Equipment parameter management: realized through the comprehensive calculation and processing module; The comprehensive computing and processing modules include: Device performance evaluation algorithm unit, network bandwidth requirement algorithm unit, and network configuration optimization and data transmission rate algorithm unit; The processing steps of the comprehensive calculation processing module are as follows: First, a comprehensive evaluation is conducted on the performance parameters of the hardware input, and a more comprehensive performance evaluation value is obtained based on the hardware comprehensive performance evaluation value, the heat dissipation efficiency change index, and the data transmission rate change index; Next, a relatively comprehensive performance evaluation value is substituted into the network bandwidth demand algorithm unit to obtain a network bandwidth demand index based on the sum of the bandwidth support degree value and the bandwidth increase degree value; Then, the network bandwidth demand index under the sum of the bandwidth support degree value and the bandwidth increase degree value is substituted into the network configuration optimization and data transmission rate algorithm unit to obtain the data transmission rate change index; and, substituting the network bandwidth demand index, the delay variation index, the transmission error index and the data retransmission index into the network configuration optimization and data transmission rate algorithm unit to obtain a degree value of accurately optimizing the network configuration; Afterwards, the calculated change in the network configuration change factor will immediately affect the data transmission rate change index, and then be reflected in the performance evaluation value in real time through the calculation of the device performance evaluation algorithm unit. This enables the system to respond quickly to changes in network conditions and adjust the working status or strategy of the device accordingly. Finally, decisions are made or corresponding actions are taken based on the output of the new performance evaluation value.

[0023] Performance output: The new performance evaluation and comprehensive performance of the equipment are read from the database, and these results are displayed to the user through the interface, or a report is generated for the user to download or print.

[0024] In this embodiment, the system facilitates better understanding of the performance evaluation, network bandwidth requirements and data transmission rate changes of the installed hardware equipment through the mutual cooperation of three algorithm units, and adjusts the network configuration change factor and the working status or strategy of the equipment according to the changes. Combining the three operation results of SN, XH and CH, an accurate and effective computer network hardware equipment installation method can be formed. The installation method can evaluate the performance evaluation, network bandwidth requirements and data transmission rate, as well as whether the device installation strategy needs to be adjusted. At the same time, it improves the flexibility, predictability and automated management characteristics of the installation, and helps to improve the optimization and adjustment of the installed hardware equipment. Compared with the computer network hardware equipment installation method, this installation method has more obvious advantages in performance evaluation, network bandwidth requirements and data transmission rate changes. SN is the performance evaluation value, which combines the processor speed change index, the total memory capacity value, the storage read and write rate value, the heat dissipation efficiency change index and the data transmission rate change index to comprehensively evaluate the installation hardware. The performance of the device provides a current performance evaluation of the hardware device for the computer network, which helps to evaluate the comprehensive performance of a device. It takes into account multiple factors, such as processor speed, memory capacity, storage speed, and possible heat dissipation efficiency. These factors together determine the overall performance of the device. XH is the network bandwidth demand index, which helps to calculate the demand for network bandwidth. It takes into account factors including device performance, network load, number of concurrent users, and data packet size. These factors together determine the bandwidth required for the network. CH is the data transmission rate change index, which effectively calculates and optimizes the network configuration change factor. It takes into account factors including network bandwidth, delay requirements, transmission error rate, and retransmission rate. These factors together determine the optimization direction of the network configuration. The calculation results of CH can also iteratively affect the calculation of SN, making the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can be automatically iterated and optimized according to actual conditions to be closer to reality.

[0025] See also Figures 1 to 3 , the device performance evaluation algorithm unit is as follows: ; ; in: SN is the performance evaluation value; SD is the processor speed variation index; RL is the total memory capacity; CC is the storage read and write rate value; SE is the heat dissipation efficiency variation index; CH is the data transmission rate change index; C is the comprehensive hardware performance evaluation value, which reflects the core processing capability of the device including the processor speed variation index SD, the total memory capacity RL and the storage read and write rate CC.

[0026] In this embodiment: First, C in this algorithm unit is a hardware comprehensive performance evaluation value, which reflects the core processing capability of the processor speed variation index SD, the total memory capacity value RL and the storage read / write rate value CC device, and specifically represents the comprehensive performance of the processor, memory and storage device. These three are the core components of the hardware device performance, and their product can roughly reflect the processing capability of the device. SD is the processor speed variation index, which is one of the key factors of device performance. The faster the processor speed, the stronger the processing capability of the device. RL is the total memory capacity value. The larger the memory, the more data the device can process at the same time, and the performance is improved accordingly. CC is the storage read / write rate value. The faster the storage device reads and writes, the faster the data access is, which has an important impact on the device performance. SE is the heat dissipation efficiency variation index. Devices with good heat dissipation can maintain more stable performance and avoid performance degradation caused by overheating. Combined with CH, which is the data transmission rate variation index, SN, which is the performance evaluation value, is obtained. The comprehensive performance evaluation value obtained by its calculation reflects the comprehensiveness and accuracy of the hardware device performance evaluation. This algorithm unit measures the comprehensive performance of hardware equipment and can comprehensively consider multiple performance indicators of the equipment, such as speed, efficiency, stability, etc., to provide a comprehensive equipment performance evaluation. By integrating multiple parameters, it can more accurately reflect the actual performance of the equipment and provide more valuable reference for decision makers. The parameters in the equipment performance evaluation algorithm unit can be adjusted according to specific needs to adapt to the performance evaluation of different equipment or different application scenarios. Its flexibility enables the equipment performance evaluation algorithm unit to be widely used in various equipment and fields to meet the needs of different users. The performance evaluation value can predict the performance of the equipment in the future, so as to take corresponding optimization measures in advance, which is helpful to prevent potential performance problems in advance and improve the reliability and stability of the equipment.

[0027] See also Figures 1 to 3 , the network bandwidth requirement algorithm unit is as follows: ; ; ; in: XH is the network bandwidth demand index; SN is the performance evaluation value; F is the network load index; Y is the concurrent user index; B is the data packet change index; EY is the extra bandwidth demand index; KD is the bandwidth support value; it reflects the impact of the performance evaluation value SN, network load index F and concurrent user index Y on the bandwidth support level; EK is the value of the bandwidth increase demand, which reflects the impact of the data packet change B and the additional bandwidth demand index EY on the bandwidth increase demand.

[0028] In this embodiment, first, KD is the bandwidth support degree value, which reflects the influence of the performance evaluation value SN, the network load index F and the concurrent user index Y on the bandwidth support degree, and specifically considers the influence of the device performance, the network load and the number of concurrent users on the bandwidth demand. The better the device performance, the stronger the processing capability, but it may also generate a greater network load. The more concurrent users there are, the greater the network load is, so more bandwidth is needed to support it. EK is the bandwidth demand increase degree value, which reflects the influence of the data packet change index B and the additional bandwidth demand index EY on the bandwidth demand increase degree, and specifically considers the influence of the data packet size and the additional bandwidth demand on the bandwidth demand. The larger the data packet, the required bandwidth. The higher the value, the additional bandwidth demand may also increase the total bandwidth demand. F is the network load index, that is, the amount of data transmitted on the network. The greater the load, the higher the required bandwidth. Y is the concurrent user index, that is, the number of users accessing the network at the same time. The more users there are, the greater the network load and the required bandwidth will increase accordingly. B is the data packet change index. The larger the data packet, the longer the transmission time and the higher the bandwidth demand. EY is the additional bandwidth demand index, including backup bandwidth, security bandwidth, etc., which is used to respond to emergencies or meet specific needs. Finally, XH is the network bandwidth demand index, which is a comprehensive performance index calculated to reflect the data processing capability of the hardware device. This algorithm unit combines the performance evaluation value in the equipment performance evaluation algorithm unit for further algorithmic calculation, so that it can establish an algorithmic relationship between network configuration and data transmission rate, so as to quickly and accurately calculate the data transmission rate under a given network configuration, which helps network engineers to quickly evaluate the impact of different network configurations on data transmission rate and select the optimal network configuration scheme; the parameters and algorithmic relationships in the network bandwidth requirement algorithm unit are usually based on actual tests and data analysis, so they are highly practical and operational, and can more accurately control the data transmission rate to meet network requirements in various application scenarios; and can help network engineers find the optimal network configuration scheme, thereby improving network performance and resource utilization, helping to reduce network congestion and latency, and improving user experience and satisfaction.

[0029] See also Figures 1 to 3, the network configuration optimization and data transmission rate algorithm units are as follows: ; ; in: CH is the data transmission rate change index; NC is the network configuration change factor; XH is the network bandwidth demand index; YX is the delay variation index; P is the transmission error index; M is the data retransmission index; V is the degree of accurate optimization of network configuration; it reflects the accuracy of network optimization.

[0030] In this embodiment, the algorithm unit first accurately optimizes the calculation of the degree value V of the network configuration, taking into account the influence of network bandwidth, delay requirements, transmission error rate and retransmission rate on the network configuration. By adjusting these parameters, the optimized network configuration value can be calculated to meet specific network requirements, wherein YX is the delay variation index, i.e., the maximum delay time of network transmission data, reflecting the network's requirements for real-time performance, P is the transmission error index, i.e., the probability of errors occurring during data transmission, reflecting the stability and reliability of the network, M is the data retransmission index, i.e., the proportion of data that needs to be retransmitted, reflecting the efficiency and reliability of network transmission, combined with XH of the network bandwidth requirement algorithm unit, and NC, which is the network configuration variation factor, it is obtained that CH is the data transmission rate variation index, CL represents the configuration influence factor of NC, and is an adjustable parameter used to reflect the specific influence of network configuration on performance; This algorithm unit combines the device performance evaluation algorithm unit, the network bandwidth requirement algorithm unit, and the network configuration optimization and data transmission rate algorithm unit to comprehensively consider multiple factors such as device performance, network load, number of concurrent users, data packet size, delay requirements, transmission error rate and retransmission rate, thereby obtaining more accurate performance evaluation and bandwidth requirement calculation results, providing a scientific basis for the selection and configuration of network hardware devices; This algorithm unit can comprehensively consider multiple performance parameters of the equipment, including processing power, storage capacity, and power consumption, so as to provide a comprehensive equipment performance evaluation, and then have a more comprehensive understanding of the performance characteristics of the equipment, and provide strong support for equipment selection, optimization, and upgrades; the calculation results of the network configuration optimization and data transmission rate algorithm unit can provide powerful guidance for decision makers, helping them to better understand the performance bottlenecks and potential optimization space of the equipment, and help decision makers to formulate more reasonable equipment procurement, use, and maintenance strategies, and improve the overall performance and benefits of the equipment; through the comprehensive calculation and analysis of equipment performance parameters, it can promote technological innovation and progress, promote the continuous improvement and optimization of equipment performance, help meet users' continuous pursuit and expectations for equipment performance, and promote the sustainable development of the entire industry.

[0031] See also Figures 1 to 3 , the device parameter management module and the performance output algorithm unit are further as follows: S1. Set the value of ZDH to 3 and the value of LDH to 0.6. ZDH is the maximum value of the rate change, LDH is the minimum value of the rate change, CH is the data transmission rate change index, and NC is the network configuration change factor. Configure the change factor for the new network; S2, when When , it is considered that the degree value of accurate optimization of network configuration and the network configuration change factor have undergone positive changes, and the network configuration can be further optimized to reduce costs or improve other performance indicators, thereby outputting ; S3, when When the network configuration is accurately optimized, the value of the degree of network configuration optimization and the network configuration change factor have changed negatively, and it is necessary to adjust the network configuration or consider upgrading the hardware to improve the performance of the device, thereby outputting ; S4. When , considering that it is within the acceptable range, we can continue with the current configuration and operation, so that the output NC remains unchanged.

[0032] In this embodiment, based on the performance evaluation of the installed hardware equipment, network bandwidth requirements and data transmission rate changes, the algorithm unit can more accurately evaluate the performance of the equipment in the network environment and provide targeted optimization suggestions. Through continuous research and improvement, the accuracy and practicality of hardware equipment installation can be further improved.

[0033] In the specific implementation process, when the network configuration change factor NC changes, it will indirectly affect the performance evaluation value SN of the hardware device by affecting the data transmission rate change index CH. Specifically, to calculate this impact and deal with it, first, we need to establish and determine the relationship between the network configuration change factor NC and the data transmission rate change index CH, which can usually be estimated through experiments, simulations, or based on the characteristics of network devices and protocols. We use the network configuration optimization and data transmission rate algorithm unit to calculate this relationship, which is a complex mathematical expression and also a data-based lookup table or machine learning hardware device installation. When the network configuration change factor NC changes, we use the new configuration value to calculate the new data transmission rate change index. , once we have a new data rate change index , we can substitute it into the formula of the device performance evaluation algorithm unit, and the user can calculate the data transmission rate change index according to Within the range of the set threshold, the network configuration change factor NC is adjusted accordingly, and finally the new network configuration change factor is input through the input device. To update the new performance evaluation value of the device , and obtain a new performance evaluation value After that, we can make decisions or take corresponding actions based on this evaluation value and calculate the new performance evaluation value. Stored in the database and ready for output.

[0034] For example 2, please refer to Figures 1 to 3 , the performance parameter input module and the performance parameter reading preprocessing module include: A performance parameter and network configuration input unit, a performance and data transmission rate calculation unit and a performance output unit, wherein the performance parameter and network configuration input unit retrieves historical parameter data from a data storage device through the system.

[0035] The performance parameter and network configuration input unit and the performance and data transmission rate calculation unit respectively use the same user input device of the performance parameter input unit and the same calculation device of the performance calculation unit.

[0036] The performance parameter and network configuration input unit uses a keyboard, mouse, and touch screen device to input the basic performance of the device. The performance output unit uses a display and console device to display the performance evaluation results. The hardware device for installing and inputting the performance parameter and network configuration input unit is a core switch.

[0037] In this embodiment, the input, evaluation, organization and analysis of the installed hardware devices are performed through devices including a keyboard, a mouse, a touch screen, a display and a console device, and these results are displayed to the user through an interface, or a report is generated for the user to download or print.

[0038] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for installing a computer network hardware device, characterized in that: It is implemented by using performance parameter input module, performance parameter reading preprocessing module, comprehensive calculation processing module, equipment parameter management module and performance output module; The specific steps include: Performance parameter input: When installing computer network hardware equipment, users input the basic performance parameters of the equipment and input the new network configuration into the equipment; Performance parameter reading preprocessing: store the system verification input parameters, network configuration and comprehensive calculation results in the database, read the basic performance parameters of the equipment stored in the database and the data transmission rate obtained from the network configuration module, and read the various performance parameters of the equipment stored in the database; Equipment parameter management: realized through the comprehensive calculation and processing module; Performance output: Read the new performance evaluation of the device and the comprehensive performance obtained by comprehensive calculation from the database, and display these results to the user through the interface.

2. The computer network hardware device installation method according to claim 1, characterized in that: The comprehensive calculation processing module includes: Device performance evaluation algorithm unit, network bandwidth requirement algorithm unit, and network configuration optimization and data transmission rate algorithm unit; The processing steps of the comprehensive calculation processing module are as follows: First, a comprehensive evaluation is conducted on the performance parameters of the hardware input, and a more comprehensive performance evaluation value is obtained based on the hardware comprehensive performance evaluation value, the heat dissipation efficiency change index, and the data transmission rate change index; Next, a relatively comprehensive performance evaluation value is substituted into the network bandwidth demand algorithm unit to obtain a network bandwidth demand index based on the sum of the bandwidth support degree value and the bandwidth increase degree value; Then, the network bandwidth demand index under the sum of the bandwidth support degree value and the bandwidth increase degree value is substituted into the network configuration optimization and data transmission rate algorithm unit to obtain the data transmission rate change index; and, substituting the network bandwidth demand index, the delay variation index, the transmission error index and the data retransmission index into the network configuration optimization and data transmission rate algorithm unit to obtain a degree value of accurately optimizing the network configuration; Afterwards, the calculated change in the network configuration change factor will immediately affect the data transmission rate change index, and then be reflected in the performance evaluation value in real time through the calculation of the device performance evaluation algorithm unit. This enables the system to respond quickly to changes in network conditions and adjust the working status or strategy of the device accordingly. Finally, decisions are made or corresponding actions are taken based on the output of the new performance evaluation value.

3. The computer network hardware device installation method according to claim 2, characterized in that: The device performance evaluation algorithm unit is as follows: ； ； in: SN is the performance evaluation value; SD is the processor speed variation index; RL is the total memory capacity; CC is the storage read and write rate value; SE is the heat dissipation efficiency variation index; CH is the data transmission rate change index; C is the comprehensive hardware performance evaluation value, which reflects the core processing capability of the device including the processor speed variation index SD, the total memory capacity RL and the storage read and write rate CC.

4. The computer network hardware device installation method according to claim 3, characterized in that: The network bandwidth requirement algorithm unit is as follows: ； ； ； in: XH is the network bandwidth demand index; SN is the performance evaluation value; F is the network load index; Y is the concurrent user index; B is the data packet change index; EY is the extra bandwidth demand index; KD is the bandwidth support value; it reflects the impact of the performance evaluation value SN, network load index F and concurrent user index Y on the bandwidth support level; EK is the value of the bandwidth increase demand; it reflects the impact of the data packet change index B and the additional bandwidth demand index EY on the bandwidth increase demand.

5. The computer network hardware device installation method according to claim 4, characterized in that: The network configuration optimization and data transmission rate algorithm unit is as follows: ； ； in: CH is the data transmission rate change index; NC is the network configuration change factor; XH is the network bandwidth demand index; YX is the delay variation index; P is the transmission error index; M is the data retransmission index; V is the degree of accurate optimization of network configuration; it reflects the accuracy of network optimization.

6. The computer network hardware device installation method according to claim 5, characterized in that: The device parameter management module and the performance output algorithm unit are further as follows: S1. Set the value of ZDH to 3 and the value of LDH to 0.

6. ZDH is the maximum value of the rate change, LDH is the minimum value of the rate change, CH is the data transmission rate change index, and NC is the network configuration change factor. Configure the change factor for the new network; S2, when When , it is considered that the degree value of accurate optimization of network configuration and the network configuration change factor have undergone positive changes, and the network configuration can be further optimized to reduce costs or improve other performance indicators, thereby outputting ; S3, when When the network configuration is accurately optimized, the value of the degree of network configuration optimization and the network configuration change factor have changed negatively, and it is necessary to adjust the network configuration or consider upgrading the hardware to improve the performance of the device, thereby outputting ; S4. When , considering that it is within the acceptable range, we can continue with the current configuration and operation, so that the output NC remains unchanged.

7. A computer network hardware device installation method according to claim 2, characterized in that: The performance parameter input module and the performance parameter reading preprocessing module include: A performance parameter and network configuration input unit, a performance and data transmission rate calculation unit and a performance output unit, wherein the performance parameter and network configuration input unit retrieves historical parameter data from a data storage device through the system.

8. A computer network hardware device installation method according to claim 7, characterized in that: The performance parameter and network configuration input unit and the performance and data transmission rate calculation unit respectively use the same user input device of the performance parameter input unit and the same calculation device of the performance calculation unit.

9. A computer network hardware device installation method according to claim 8, characterized in that: The performance parameter and network configuration input unit uses a keyboard, mouse, and touch screen device to input the basic performance of the device. The performance output unit uses a display and console device to display the performance evaluation results. The hardware device for installing and inputting the performance parameter and network configuration input unit is a core switch.

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