CN113784364A - Machine room planning method and device based on business requirements and storage medium - Google Patents

Machine room planning method and device based on business requirements and storage medium Download PDF

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CN113784364A
CN113784364A CN202111331811.6A CN202111331811A CN113784364A CN 113784364 A CN113784364 A CN 113784364A CN 202111331811 A CN202111331811 A CN 202111331811A CN 113784364 A CN113784364 A CN 113784364A
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equipment
requirements
requirement
construction scale
machine room
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CN113784364B (en
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蚁泽纯
张优训
刘小春
何培森
叶水文
范学涛
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Guangdong Planning and Designing Institute of Telecommunications Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/60Business processes related to postal services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models

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Abstract

The invention discloses a method, a device and a storage medium for planning a machine room based on business requirements, wherein the method comprises the following steps: acquiring service demand information of a target area; determining the service parameters of the target area; determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters; and determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule. Therefore, the equipment construction scale can be determined by combining the service requirements and the service parameters, and then the machine room construction scale is further determined, so that a more accurate and more reasonable machine room construction scale pre-estimation effect can be realized, more comprehensive machine room construction early-stage planning is facilitated, and the efficiency of subsequent machine room construction and the effect of infrastructure construction are improved.

Description

Machine room planning method and device based on business requirements and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for planning a machine room based on business requirements, and a storage medium.
Background
Due to the development of communication equipment, the space and power requirements of the current high-end high-capacity equipment on a communication convergence machine room become higher, and in addition, the difficulty in selecting points of the machine room, complaints of surrounding residents and the like, the construction scheme of the convergence machine room needs to be more carefully considered, and more complex challenges are faced. The existing access machine room construction mainly guarantees the dense business and key areas around business scenes and user complaints, and although the network can guarantee a specific area, the area is not completely equal to the user, so that the user guarantee is passive, the three-dimensional perception of the user cannot be corresponded, and the development of future network requirements is difficult to match.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a machine room planning method, a device and a storage medium based on business requirements, which can realize more accurate and more reasonable machine room construction scale pre-estimation effect, facilitate more comprehensive machine room construction early-stage planning, and facilitate improvement of efficiency of subsequent machine room construction and infrastructure effect.
In order to solve the technical problem, a first aspect of the present invention discloses a machine room planning method based on business requirements, wherein the method includes:
acquiring service demand information of a target area;
determining the service parameters of the target area;
determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters;
and determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule.
As an optional implementation manner, in the first aspect of the present invention, the service requirement information includes at least one of a basic attribute, a wired access requirement, and a wireless access requirement; and/or the service parameters comprise fixed parameters and/or variable parameters.
As an alternative implementation, in the first aspect of the present invention, the basic attribute includes whether or not a region belongs to an urban region attribute and/or a region area; and/or the wired access demand comprises at least one of the average number of buildings in the whole quantity of the micro grids, the average number of family-wide users in the whole quantity of the micro grids and the average number of users in the whole quantity of the micro grids; and/or the radio access requirements comprise at least one of a 5G coverage radius, an FDD coverage radius, and a TD-LTE coverage radius; and/or the fixed parameters comprise at least one of a home width parameter, a customer collecting parameter, wireless access parameter setting, a device parameter and an installation condition parameter; and/or the variable parameter comprises at least one of home wide permeability after 5 years, home wide optical splitter splitting ratio, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting optical splitter splitting ratio, number of PTN/IPRAN ports of each access layer and number of PON ports of each rack type OLT.
As an optional implementation manner, in the first aspect of the present invention, the home width parameter includes at least one of a current home width permeability, a home width permeability after 5 years, a PON port number of an OLT device occupied by each FTTH per household, a PON port utilization rate of each set of OLT board cards, a number of optical splitters occupied by each FTTH per household, a splitting ratio of the home width optical splitter, and a port utilization rate of the home width optical splitter; and/or the guest collecting parameters comprise at least one of current guest collecting permeability, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting service non-circuit renting occupation ratio, the number of PON ports occupied by each guest collecting, the utilization rate of each set of OLT board card ports, the average number of optical splitters of each guest collecting user, the splitting ratio of the guest collecting optical splitters and the port utilization rate of the guest collecting optical splitters; and/or the wireless access parameters comprise at least one of BBU centralized deployment, 5G coverage area, FDD coverage area, TD-LTE coverage area, BBU ratio of 5G: FDD and BBU ratio of 5G: TD-LTE; and/or the device parameters comprise at least one of access layer PTN/IPRAN parameters, rack OLT parameters and small OTN parameters; the access layer PTN/IPRAN parameters comprise at least one of the number of ports of each access layer PTN/IPRAN, the port utilization rate, the number of ports occupied by each PTN/IPRAN and the power of each PTN/IPRAN, the rack OLT parameters comprise at least one of a board card of each OLT, the number of ports of each board card, the slot position utilization rate, the port utilization rate, the number of PON ports of each rack OLT, the number of fully-configured PON ports of each rack OLT, the power of each rack OLT and the maximum number of access users of each rack OLT, the small OTN parameters comprise typical configuration channel number and/or each OTN power, and/or the installation condition parameters comprise at least one of air conditioner configuration parameters, storage battery configuration parameters and switch power configuration parameters, the air conditioner configuration parameters comprise at least one of air conditioner cooling capacity, air conditioner power consumption and air conditioner load capacity ratio, the storage battery configuration parameters comprise at least one of backup time, safety factor, discharge capacity coefficient, environment temperature, battery temperature coefficient and storage power supply configuration, and the switching power supply configuration parameters comprise at least one of the capacity of the rectifier modules, the number of the rectifier modules, total capacity, the standby of the switching power supply and the upper limit of the utilization rate of the switching power supply.
As an alternative embodiment, in the first aspect of the present invention, the equipment construction scale includes at least one of a 5G DU construction scale, a 4G FDD BBU construction scale, a 4G TD-LTE BBU construction scale, an access PTN/IPRAN equipment construction scale, an OLT equipment construction scale, an OTN equipment construction scale, an integrated access room scheduling ODF construction scale, an integrated access room terminal ODF construction scale, an alarm integrated cabinet construction scale, an air conditioner construction scale, a lighting facility construction scale, a switching power supply construction scale, an ac distribution box construction scale, a column head power cabinet construction scale, and a storage battery construction scale; and/or the machine room construction scale comprises an external power demand construction scale and/or a machine room space area construction scale.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the service demand information and the service parameter, the equipment construction scale corresponding to the target area includes:
determining the construction scale of the 5G DU according to the ratio of the coverage area of the micro grid of the access machine room to the coverage area of the 5G DU;
and/or the presence of a gas in the gas,
determining the construction scale of the 4G FDD BBU equipment according to the construction scale of the 5G DU equipment and the ratio of the BBU to the BBU of the 5G FDD;
and/or the presence of a gas in the gas,
determining the building scale of 4G TD-LTE BBU equipment according to the ratio between the building scale of 5G DU equipment and the BBU proportion of 5G TD-LTE;
and/or the presence of a gas in the gas,
calculating the sum of the base station access port requirement and a first requirement of the guest circuit renting port requirement;
determining the construction scale of the PTN/IPRAN equipment according to the ratio of the sum of the first requirements to the number of ports occupied by each PTN/IPRAN equipment;
and/or the presence of a gas in the gas,
calculating the sum of the requirement of a home wide PON port and a second requirement of the requirement of a guest non-circuit leased PON port;
determining the construction scale of the OLT equipment according to the result of dividing the sum of the second requirements by the number of typical access users of the OLT equipment;
and/or the presence of a gas in the gas,
calculating the sum of the access bandwidth requirement of the base station and the third requirement of the uplink bandwidth requirement of the OLT equipment;
and determining the construction scale of the OTN equipment according to the result of dividing the sum of the third requirements by the number of the typical configuration ports of the OTN equipment.
And/or the presence of a gas in the gas,
calculating the sum of the distribution cable terminating requirement, the access cable terminating requirement and the 5G/4G related fiber core terminating requirement to determine the ODF port scheduling requirement;
and determining the construction scale of the ODF according to the ratio of the ODF port demand to the typical ODF configuration port number.
And/or the presence of a gas in the gas,
calculating the sum of PTN/IPRAN end forming requirements, OLT end forming requirements and OTN end forming requirements to determine terminal ODF port requirements;
determining the construction scale of the terminal ODF according to the ratio of the ODF port requirement of the terminal to the typical ODF configuration port number;
and/or the presence of a gas in the gas,
calculating the sum of the wireless device requirements and the transmission device requirements to determine alarm port requirements;
determining the construction scale confirmation of the alarm integrated cabinet according to the ratio of the alarm port requirement to the typical configuration port number of the alarm integrated cabinet;
and/or the presence of a gas in the gas,
calculating the refrigerating capacity demand of the air conditioner = the power consumption demand of the wireless equipment + the power consumption demand of the transmission equipment;
calculating the air conditioner construction scale = air conditioner refrigerating capacity demand/(refrigerating capacity of each air conditioner and air conditioner load capacity ratio);
and/or the presence of a gas in the gas,
calculating the power consumption requirement of a direct current power supply = the power consumption requirement of wireless equipment + the power consumption requirement of transmission equipment;
and calculating the construction scale of the power cabinets of the column head cabinets = the power consumption requirement of the direct-current power supply/power consumption capacity provided by each column head power cabinet.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the equipment construction scale and a preset equipment-equipment room construction rule, an equipment room construction scale corresponding to the target area includes;
the total power consumption requirement of the computing equipment = the power consumption requirement of the wireless equipment + the power consumption requirement of the transmission equipment + the power consumption requirement of the corollary equipment; the wireless equipment power consumption requirements comprise 5G DU equipment power consumption requirements, FDD BBU equipment power consumption requirements and TD-LTE BBU equipment power consumption requirements; the power consumption requirements of the transmission equipment comprise power consumption requirements of PTN/IPRAN equipment, power consumption requirements of OLT equipment and power consumption requirements of OTN equipment; the power consumption requirements of the matched equipment comprise the power consumption requirements of the alarm integrated cabinet equipment, the power consumption requirements of the air conditioning equipment and the power consumption requirements of the lighting facility equipment;
calculating the external power construction scale = the total power consumption requirement/90%;
and/or the presence of a gas in the gas,
the method comprises the following steps that (1) the installed space requirement of computing equipment = the installed space requirement of wireless equipment + the installed space requirement of transmission equipment + the installed space requirement of corollary equipment + the installed space requirement of power supply equipment; the wireless equipment installation space requirements comprise 5G DU equipment installation space requirements, FDD BBU equipment installation space requirements and TD-LTE BBU equipment installation space requirements; the transmission equipment installation space requirement comprises a PTN/IPRAN equipment installation space requirement, an OLT equipment installation space requirement and an OTN equipment installation space requirement; the installation space requirements of the matched equipment comprise installation space requirements of alarm integrated cabinet equipment, installation space requirements of air conditioning equipment and installation space requirements of lighting facility equipment; the installation space requirements of the power supply equipment comprise installation space requirements of the switching power supply equipment, installation space requirements of the alternating-current power distribution cabinet equipment, installation space requirements of the column head power supply cabinet equipment and installation space requirements of the storage battery equipment;
the space area construction requirement of the computer room = the space requirement of the equipment/80%.
The second aspect of the present invention discloses a machine room planning device based on service requirements, which includes:
the demand acquisition module is used for acquiring service demand information of the target area;
the parameter determining module is used for determining the service parameters of the target area;
the equipment planning module is used for determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters;
and the machine room planning module is used for determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule.
As an optional implementation manner, in the second aspect of the present invention, the service requirement information includes at least one of a basic attribute, a wired access requirement, and a wireless access requirement; and/or the service parameters comprise fixed parameters and/or variable parameters.
As an alternative embodiment, in the second aspect of the present invention, the basic attribute includes whether or not the region belongs to an urban region attribute and/or a region area; and/or the wired access demand comprises at least one of the average number of buildings in the whole quantity of the micro grids, the average number of family-wide users in the whole quantity of the micro grids and the average number of users in the whole quantity of the micro grids; and/or the radio access requirements comprise at least one of a 5G coverage radius, an FDD coverage radius, and a TD-LTE coverage radius; and/or the fixed parameters comprise at least one of a home width parameter, a customer collecting parameter, wireless access parameter setting, a device parameter and an installation condition parameter; and/or the variable parameter comprises at least one of home wide permeability after 5 years, home wide optical splitter splitting ratio, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting optical splitter splitting ratio, number of PTN/IPRAN ports of each access layer and number of PON ports of each rack type OLT.
As an optional implementation manner, in the second aspect of the present invention, the home width parameter includes at least one of a current home width permeability, a home width permeability after 5 years, a PON port number of the OLT device occupied by each FTTH per household, a PON port utilization rate of each set of OLT board cards, a number of optical splitters occupied by each FTTH per household, a splitting ratio of the home width optical splitter, and a port utilization rate of the home width optical splitter; and/or the guest collecting parameters comprise at least one of current guest collecting permeability, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting service non-circuit renting occupation ratio, the number of PON ports occupied by each guest collecting, the utilization rate of each set of OLT board card ports, the average number of optical splitters of each guest collecting user, the splitting ratio of the guest collecting optical splitters and the port utilization rate of the guest collecting optical splitters; and/or the wireless access parameters comprise at least one of BBU centralized deployment, 5G coverage area, FDD coverage area, TD-LTE coverage area, BBU ratio of 5G: FDD and BBU ratio of 5G: TD-LTE; and/or the device parameters comprise at least one of access layer PTN/IPRAN parameters, rack OLT parameters and small OTN parameters; the access layer PTN/IPRAN parameters comprise at least one of the number of ports of each access layer PTN/IPRAN, the port utilization rate, the number of ports occupied by each PTN/IPRAN and the power of each PTN/IPRAN, the rack OLT parameters comprise at least one of a board card of each OLT, the number of ports of each board card, the slot position utilization rate, the port utilization rate, the number of PON ports of each rack OLT, the number of fully-configured PON ports of each rack OLT, the power of each rack OLT and the maximum number of access users of each rack OLT, the small OTN parameters comprise typical configuration channel number and/or each OTN power, and/or the installation condition parameters comprise at least one of air conditioner configuration parameters, storage battery configuration parameters and switch power configuration parameters, the air conditioner configuration parameters comprise at least one of air conditioner cooling capacity, air conditioner power consumption and air conditioner load capacity ratio, the storage battery configuration parameters comprise at least one of backup time, safety factor, discharge capacity coefficient, environment temperature, battery temperature coefficient and storage power supply configuration, and the switching power supply configuration parameters comprise at least one of the capacity of the rectifier modules, the number of the rectifier modules, total capacity, the standby of the switching power supply and the upper limit of the utilization rate of the switching power supply.
As an alternative embodiment, in the second aspect of the present invention, the equipment construction scale includes at least one of a 5G DU construction scale, a 4G FDD BBU construction scale, a 4G TD-LTE BBU construction scale, an access PTN/IPRAN equipment construction scale, an OLT equipment construction scale, an OTN equipment construction scale, an integrated access room scheduling ODF construction scale, an integrated access room terminal ODF construction scale, an alarm integrated cabinet construction scale, an air conditioner construction scale, a lighting facility construction scale, a switching power supply construction scale, an ac distribution box construction scale, a column head power cabinet construction scale, and a storage battery construction scale; and/or the machine room construction scale comprises an external power demand construction scale and/or a machine room space area construction scale.
As an optional implementation manner, in the second aspect of the present invention, a specific manner in which the equipment planning module determines the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
determining the construction scale of the 5G DU according to the ratio of the coverage area of the micro grid of the access machine room to the coverage area of the 5G DU;
and/or the presence of a gas in the gas,
determining the construction scale of the 4G FDD BBU equipment according to the construction scale of the 5G DU equipment and the ratio of the BBU to the BBU of the 5G FDD;
and/or the presence of a gas in the gas,
determining the building scale of 4G TD-LTE BBU equipment according to the ratio between the building scale of 5G DU equipment and the BBU proportion of 5G TD-LTE;
and/or the presence of a gas in the gas,
calculating the sum of the base station access port requirement and a first requirement of the guest circuit renting port requirement;
determining the construction scale of the PTN/IPRAN equipment according to the ratio of the sum of the first requirements to the number of ports occupied by each PTN/IPRAN equipment;
and/or the presence of a gas in the gas,
calculating the sum of the requirement of a home wide PON port and a second requirement of the requirement of a guest non-circuit leased PON port;
determining the construction scale of the OLT equipment according to the result of dividing the sum of the second requirements by the number of typical access users of the OLT equipment;
and/or the presence of a gas in the gas,
calculating the sum of the access bandwidth requirement of the base station and the third requirement of the uplink bandwidth requirement of the OLT equipment;
and determining the construction scale of the OTN equipment according to the result of dividing the sum of the third requirements by the number of the typical configuration ports of the OTN equipment.
And/or the presence of a gas in the gas,
calculating the sum of the distribution cable terminating requirement, the access cable terminating requirement and the 5G/4G related fiber core terminating requirement to determine the ODF port scheduling requirement;
and determining the construction scale of the ODF according to the ratio of the ODF port demand to the typical ODF configuration port number.
And/or the presence of a gas in the gas,
calculating the sum of PTN/IPRAN end forming requirements, OLT end forming requirements and OTN end forming requirements to determine terminal ODF port requirements;
determining the construction scale of the terminal ODF according to the ratio of the ODF port requirement of the terminal to the typical ODF configuration port number;
and/or the presence of a gas in the gas,
calculating the sum of the wireless device requirements and the transmission device requirements to determine alarm port requirements;
determining the construction scale confirmation of the alarm integrated cabinet according to the ratio of the alarm port requirement to the typical configuration port number of the alarm integrated cabinet;
and/or the presence of a gas in the gas,
calculating the refrigerating capacity demand of the air conditioner = the power consumption demand of the wireless equipment + the power consumption demand of the transmission equipment;
calculating the air conditioner construction scale = air conditioner refrigerating capacity demand/(refrigerating capacity of each air conditioner and air conditioner load capacity ratio);
and/or the presence of a gas in the gas,
calculating the power consumption requirement of a direct current power supply = the power consumption requirement of wireless equipment + the power consumption requirement of transmission equipment;
and calculating the construction scale of the power cabinets of the column head cabinets = the power consumption requirement of the direct-current power supply/power consumption capacity provided by each column head power cabinet.
As an optional implementation manner, in the second aspect of the present invention, the specific manner of determining the machine room construction scale corresponding to the target area by the machine room planning module according to the equipment construction scale and a preset equipment-machine room construction rule includes;
the total power consumption requirement of the computing equipment = the power consumption requirement of the wireless equipment + the power consumption requirement of the transmission equipment + the power consumption requirement of the corollary equipment; the wireless equipment power consumption requirements comprise 5G DU equipment power consumption requirements, FDD BBU equipment power consumption requirements and TD-LTE BBU equipment power consumption requirements; the power consumption requirements of the transmission equipment comprise power consumption requirements of PTN/IPRAN equipment, power consumption requirements of OLT equipment and power consumption requirements of OTN equipment; the power consumption requirements of the matched equipment comprise the power consumption requirements of the alarm integrated cabinet equipment, the power consumption requirements of the air conditioning equipment and the power consumption requirements of the lighting facility equipment;
calculating the external power construction scale = the total power consumption requirement/90%;
and/or the presence of a gas in the gas,
the method comprises the following steps that (1) the installed space requirement of computing equipment = the installed space requirement of wireless equipment + the installed space requirement of transmission equipment + the installed space requirement of corollary equipment + the installed space requirement of power supply equipment; the wireless equipment installation space requirements comprise 5G DU equipment installation space requirements, FDD BBU equipment installation space requirements and TD-LTE BBU equipment installation space requirements; the transmission equipment installation space requirement comprises a PTN/IPRAN equipment installation space requirement, an OLT equipment installation space requirement and an OTN equipment installation space requirement; the installation space requirements of the matched equipment comprise installation space requirements of alarm integrated cabinet equipment, installation space requirements of air conditioning equipment and installation space requirements of lighting facility equipment; the installation space requirements of the power supply equipment comprise installation space requirements of the switching power supply equipment, installation space requirements of the alternating-current power distribution cabinet equipment, installation space requirements of the column head power supply cabinet equipment and installation space requirements of the storage battery equipment;
the space area construction requirement of the computer room = the space requirement of the equipment/80%.
The third aspect of the present invention discloses another equipment room planning device based on business requirements, wherein the device comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute part or all of the steps of the method for planning the machine room based on the service requirement disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute part or all of the steps in the method for planning a machine room based on business requirements disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the service demand information of a target area is obtained; determining the service parameters of the target area; determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters; and determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule. Therefore, the equipment construction scale can be determined by combining the service requirements and the service parameters, and then the machine room construction scale is further determined, so that a more accurate and more reasonable machine room construction scale pre-estimation effect can be realized, more comprehensive machine room construction early-stage planning is facilitated, and the efficiency of subsequent machine room construction and the effect of infrastructure construction are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for planning a machine room based on business requirements according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a machine room planning apparatus based on service requirements according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another equipment room planning apparatus based on business requirements according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a machine room planning method, a device and a storage medium based on business requirements, which can determine the equipment construction scale by combining the business requirements and business parameters and further determine the machine room construction scale, thereby realizing more accurate and more reasonable machine room construction scale pre-estimation effect, being beneficial to more comprehensive machine room construction early-stage planning and being beneficial to improving the efficiency of subsequent machine room construction and the effect of infrastructure construction. The following are detailed below.
Before explaining the various embodiments in detail, the technical terms abbreviations appearing in the present detailed description are explained, wherein:
FDD: frequency Division Duplexing, which means that the uplink (mobile to base station) and downlink (base station to mobile) operate using two separate frequencies (with a certain Frequency separation requirement), operates on a symmetric Frequency band.
LTE: long Term Evolution, 3G, is a Long Term Evolution of UMTS (Universal Mobile Telecommunications System) technical standard organized and formulated by 3GPP (The 3rd Generation Partnership Project), and introduces key technologies such as OFDM (Orthogonal Frequency Division Multiplexing) and MIMO (Multi-Input and Multi-Output), which significantly increases spectral efficiency and data transmission rate.
TD-LTE: time Division Long Term Evolution, Time Division Long Term Evolution.
PON: passive Optical Network, Passive fiber optic Network.
FTTH: fiber To The Home, Fiber To The Home.
BBU: building Base band Unit.
5G-DU: 5G Distributed Unit, 5G Distributed Unit.
ODF: optical Distribution Frame, Optical Distribution Frame.
PTN: packet Transport Network, Packet Transport Network technology.
IPRAN: the IP Radio Access Network is an end-to-end service bearer Network which is based on an IP/MPLS protocol and a key technology, mainly faces to mobile service bearer, gives consideration to providing service bearers of two or three layers of channels, and relies on a CN2 backbone layer to form a province unit.
OTN: an optical transport network refers to a transport network that implements transport, multiplexing, routing, and monitoring of service signals in an optical domain, and ensures performance index and survivability thereof.
OLT: optical line terminal for connecting terminal equipment of an optical fiber trunk.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for planning a machine room based on business requirements according to an embodiment of the present invention. The method described in fig. 1 may be applied to a corresponding planning terminal, planning device, or planning server, and the server may be a local server or a cloud server. Specifically, as shown in fig. 1, the method for planning a machine room based on business requirements may include the following operations:
101. and acquiring the service requirement information of the target area.
Specifically, the investigation and input of the business requirements can be designed to be completed in the initial stage, and the business requirements mainly comprise all types of business requirements such as 5G/4G, home wide, customer collecting and the like. Optionally, the service requirement information includes at least one of a basic attribute, a wired access requirement, and a wireless access requirement. Optionally, the basic attribute includes whether the region belongs to an urban region attribute and/or a region area. Optionally, the wired access requirement includes at least one of an average number of buildings in full amount of the micro grid, an average number of users in full household width of the micro grid, and an average number of users in full collector of the micro grid. Optionally, the radio access requirement includes at least one of a 5G coverage radius, an FDD coverage radius, and a TD-LTE coverage radius.
102. And determining the service parameters of the target area.
Optionally, the service parameter includes a fixed parameter and/or a variable parameter. Specifically, the service parameters mainly include conventional parameters of various services, such as the penetration rate of the home gateway, the number of device ports, the port utilization rate, and the like. Wherein, part of parameters are approximate in the whole province and are set as fixed parameters, and the other part of parameters are adjusted according to the actual conditions of the part of parameters and are set as variable parameters. Optionally, the fixed parameter includes at least one of a home width parameter, a customer collecting parameter, a wireless access parameter setting, a device parameter, and an installation condition parameter. Optionally, the variable parameter includes at least one of home wide permeability after 5 years, home wide splitter splitting ratio, guest collection permeability after 5 years, guest collection service circuit lease occupation ratio, guest collection splitter splitting ratio, number of PTN/IPRAN ports of each access layer, and number of PON ports of each rack OLT. Optionally, the home width parameter includes at least one of a current home width permeability, a home width permeability after 5 years, a PON port number of the OLT device occupied by each household of the FTTH, a PON port utilization rate of each set of OLT board card, a number of optical splitters occupied by each household of the FTTH, a splitting ratio of the home width optical splitter, and a port utilization rate of the home width optical splitter. Optionally, the radio access parameter includes at least one of BBU centralized deployment, 5G coverage area, FDD coverage area, TD-LTE coverage area, BBU ratio of 5G: FDD, and BBU ratio of 5G: TD-LTE. Optionally, the device parameter includes at least one of an access stratum PTN/IPRAN parameter, a rack OLT parameter, and a small OTN parameter. Optionally, the access stratum PTN/IPRAN parameter includes at least one of a number of ports per access stratum PTN/IPRAN, a port utilization rate, a number of ports occupied per PTN/IPRAN, and a power per PTN/IPRAN. Optionally, the rack OLT parameter includes at least one of a board card of each OLT, the number of ports of each board card, a slot utilization rate, a port utilization rate, the number of PON ports of each rack OLT, the number of fully-configured PON ports of each rack OLT, the power of each rack OLT, and the maximum number of access users of each rack OLT. Optionally, the small OTN parameters include a typical number of configured channels and/or a power per OTN. Optionally, the installed condition parameter includes at least one of an air conditioner configuration parameter, a storage battery configuration parameter, and a switching power supply configuration parameter, and the air conditioner configuration parameter includes at least one of an air conditioner cooling capacity, an air conditioner power consumption, and an air conditioner load capacity ratio. Optionally, the storage battery configuration parameter includes at least one of a backup time, a safety factor, a discharge capacity coefficient, an ambient temperature, a battery temperature coefficient, and a storage battery configuration. Optionally, the configuration parameter of the switching power supply includes at least one of a capacity of the rectifying modules, a number of the rectifying modules, a total capacity, a standby of the switching power supply, and an upper limit of a utilization rate of the switching power supply.
Optionally, due to different construction strategies in different regions, user service conditions and other factors, different regions have large differences in certain parameters, and the following variable parameters are set for the model. Optionally, the guest collecting parameters include at least one of current guest collecting permeability, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting service non-circuit renting occupation ratio, number of PON ports occupied by each guest collector, utilization rate of ports of each set of OLT board card, average number of optical splitters of each guest collecting user, splitting ratio of the guest collecting optical splitters and port utilization rate of the guest collecting optical splitters.
Specifically, when determining the service parameters, it is necessary to specify service-related parameters such as 5G/4G/3G/2G, home bandwidth, and customer collection, which is convenient for estimating total requirements of related resources, including user permeability, service type ratio, and the like, and specify network parameters related to engineering construction in each region, such as splitter port configuration, OLT slot position, port configuration, PTN/IPRAN slot position, and port configuration.
103. And determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters.
Optionally, the equipment construction scale includes at least one of a 5G DU construction scale, a 4G FDD BBU construction scale, a 4G TD-LTE BBU construction scale, an access PTN/IPRAN equipment construction scale, an OLT equipment construction scale, an OTN equipment construction scale, an integrated access room scheduling ODF construction scale, an integrated access room terminal ODF construction scale, an alarm integrated cabinet construction scale, an air conditioner construction scale, a lighting facility construction scale, a switching power supply construction scale, an ac distribution box construction scale, a first power cabinet construction scale, and a storage battery construction scale. Specifically, the resource demand in the planning period can be calculated by combining the current resource situation and respective use habits of various places, the resource demand is determined by combining the appropriate redundancy of the subsequent development plan, and the equipment installation construction scheme is output.
104. And determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule.
Optionally, the building scale of the machine room comprises an external power demand building scale and/or a machine room space area building scale. Specifically, the resource demand of the machine room space, the power supply and the like in the planning period needs to be calculated by combining the equipment installation demand and respective use habits of various places, the resource demand needs to be determined by combining the appropriate redundancy of the subsequent development plan, and the access machine room construction scheme is output.
Therefore, the method described by the embodiment of the invention can be implemented to determine the equipment construction scale by combining the service requirements and the service parameters, and further determine the machine room construction scale, so that a more accurate and more reasonable machine room construction scale pre-estimation effect can be realized, more comprehensive machine room construction early-stage planning is facilitated, and the efficiency of subsequent machine room construction and the effect of infrastructure construction are improved.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and determining the construction scale of the 5G DU according to the ratio of the coverage area of the access machine room micro grid to the coverage area of the 5G DU.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and determining the construction scale of the BBU equipment for the 4G FDD according to the construction scale of the 5G DU equipment and the ratio of the BBU to the BBU of the 5G FDD.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and determining the building scale of the 4G TD-LTE BBU equipment according to the ratio between the building scale of the 5G DU equipment and the BBU ratio of the 5G TD-LTE.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
a sum of a base station access port requirement and a first requirement of a guest leased port requirement is calculated.
And determining the construction scale of the PTN/IPRAN equipment according to the ratio of the sum of the first requirements to the number of ports occupied by each PTN/IPRAN equipment.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and calculating the sum of the requirement of the home wide PON port and the second requirement of the guest non-circuit leased PON port.
And determining the construction scale of the OLT equipment according to the result of dividing the sum of the second requirements by the number of the typical access users of the OLT equipment.
Alternatively, the number of typical access users of the OLT device may be, for example, 5000.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and calculating the sum of the access bandwidth requirement of the base station and the third requirement of the uplink bandwidth requirement of the OLT equipment.
And determining the construction scale of the OTN equipment according to the result of dividing the sum of the third requirements by the number of the typical configuration ports of the OTN equipment.
Alternatively, the typical configuration port number of the OTN device may be, for example, 16.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
the sum of the distribution cable terminating requirements, the access cable terminating requirements and the 5G/4G correlated core terminating requirements is calculated to determine the scheduled ODF port requirements.
And determining the construction scale of the ODF according to the ratio of the ODF port demand to the typical ODF configuration port number.
Alternatively, the typical configuration port number of an ODF may be, for example, 288.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
and calculating the sum of the PTN/IPRAN end forming requirement, the OLT end forming requirement and the OTN end forming requirement to determine the ODF port requirement of the terminal.
And determining the construction scale of the terminal ODF according to the ratio of the port requirement of the terminal ODF to the number of the typical configured ports of the ODF.
Alternatively, the typical configuration port number of an ODF may be, for example, 288.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
the sum of the wireless device requirements and the transmission device requirements is calculated to determine the alarm port requirements.
And determining the construction scale confirmation of the alarm integrated cabinet according to the ratio of the alarm port requirement to the typical configuration port number of the alarm integrated cabinet.
Alternatively, the number of typical configuration ports of the alarm complex may be, for example, 48.
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
the calculated air conditioning cooling capacity requirement = the power consumption requirement of the wireless device + the power consumption requirement of the transmission device.
And calculating the air conditioner construction scale = air conditioner refrigerating capacity demand/(refrigerating capacity of each air conditioner and air conditioner load capacity ratio).
As an optional implementation manner, in step 103, determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameter includes:
calculating the power consumption requirement of the direct current power supply = the power consumption requirement of the wireless device + the power consumption requirement of the transmission device.
And calculating the construction scale of the power cabinets of the column head cabinets = the power consumption requirement of the direct-current power supply/power consumption capacity provided by each column head power cabinet.
As an optional implementation manner, in the step 104, the machine room construction scale corresponding to the target area is determined according to the equipment construction scale and a preset equipment-machine room construction rule, including;
the total power consumption requirement of the computing equipment = the power consumption requirement of the wireless equipment + the power consumption requirement of the transmission equipment + the power consumption requirement of the corollary equipment; the power consumption requirements of the wireless equipment comprise 5G DU equipment power consumption requirements, FDD BBU equipment power consumption requirements and TD-LTE BBU equipment power consumption requirements; the power consumption requirements of the transmission equipment comprise power consumption requirements of PTN/IPRAN equipment, OLT equipment and OTN equipment; the power consumption requirements of the matched equipment comprise the power consumption requirements of the alarm integrated cabinet equipment, the power consumption requirements of the air conditioning equipment and the power consumption requirements of the lighting facility equipment;
the calculated external power construction scale = total power consumption requirement/90% of the device.
As an optional implementation manner, in the step 104, the machine room construction scale corresponding to the target area is determined according to the equipment construction scale and a preset equipment-machine room construction rule, including;
the method comprises the following steps that (1) the installed space requirement of computing equipment = the installed space requirement of wireless equipment + the installed space requirement of transmission equipment + the installed space requirement of corollary equipment + the installed space requirement of power supply equipment; the wireless equipment installation space requirements comprise 5G DU equipment installation space requirements, FDD BBU equipment installation space requirements and TD-LTE BBU equipment installation space requirements; the transmission equipment installation space requirement comprises a PTN/IPRAN equipment installation space requirement, an OLT equipment installation space requirement and an OTN equipment installation space requirement; the installation space requirements of the matched equipment comprise installation space requirements of the alarm integrated cabinet equipment, installation space requirements of air conditioning equipment and installation space requirements of lighting facility equipment; the power supply equipment installation space requirement comprises a switch power supply equipment installation space requirement, an alternating current power distribution cabinet equipment installation space requirement, a column head power supply cabinet equipment installation space requirement and a storage battery equipment installation space requirement;
the space area construction requirement of the computer room = the space requirement of the equipment/80%.
The method steps of the invention are adopted to construct the access machine room, the specific description is made on the design steps from the requirement input to the scheme output, a 'typical requirement model of the comprehensive access machine room' is issued subsequently, and the model mainly provides the access machine room construction scheme suitable for the local according to the user conditions and the resource use habits of all the places. When designing the scheme, a design unit strictly designs according to a four-step flow and combines a typical requirement model of the integrated access machine room, and a municipal company refers to a configuration model for evaluation, so that the construction of the integrated access machine rooms in various places is further standardized. Therefore, the resource utilization efficiency is further enhanced, and the investment effectiveness is ensured.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of a machine room planning apparatus based on service requirements according to an embodiment of the present invention. The apparatus described in fig. 2 may be applied to a corresponding planning terminal, planning device, or planning server, and the server may be a local server or a cloud server, which is not limited in the embodiment of the present invention. Specifically, as shown in fig. 2, the apparatus may include:
the requirement obtaining module 201 is configured to obtain service requirement information of the target area.
Specifically, the investigation and input of the business requirements can be designed to be completed in the initial stage, and the business requirements mainly comprise all types of business requirements such as 5G/4G, home wide, customer collecting and the like. Optionally, the service requirement information includes at least one of a basic attribute, a wired access requirement, and a wireless access requirement. Optionally, the basic attribute includes whether the region belongs to an urban region attribute and/or a region area. Optionally, the wired access requirement includes at least one of an average number of buildings in full amount of the micro grid, an average number of users in full household width of the micro grid, and an average number of users in full collector of the micro grid. Optionally, the radio access requirement includes at least one of a 5G coverage radius, an FDD coverage radius, and a TD-LTE coverage radius.
A parameter determining module 202, configured to determine a service parameter of the target area.
Optionally, the service parameter includes a fixed parameter and/or a variable parameter. Specifically, the service parameters mainly include conventional parameters of various services, such as the penetration rate of the home gateway, the number of device ports, the port utilization rate, and the like. Wherein, part of parameters are approximate in the whole province and are set as fixed parameters, and the other part of parameters are adjusted according to the actual conditions of the part of parameters and are set as variable parameters. Optionally, the fixed parameter includes at least one of a home width parameter, a customer collecting parameter, a wireless access parameter setting, a device parameter, and an installation condition parameter. Optionally, the variable parameter includes at least one of home wide permeability after 5 years, home wide splitter splitting ratio, guest collection permeability after 5 years, guest collection service circuit lease occupation ratio, guest collection splitter splitting ratio, number of PTN/IPRAN ports of each access layer, and number of PON ports of each rack OLT. Optionally, the home width parameter includes at least one of a current home width permeability, a home width permeability after 5 years, a PON port number of the OLT device occupied by each household of the FTTH, a PON port utilization rate of each set of OLT board card, a number of optical splitters occupied by each household of the FTTH, a splitting ratio of the home width optical splitter, and a port utilization rate of the home width optical splitter. Optionally, the radio access parameter includes at least one of BBU centralized deployment, 5G coverage area, FDD coverage area, TD-LTE coverage area, BBU ratio of 5G: FDD, and BBU ratio of 5G: TD-LTE. Optionally, the device parameter includes at least one of an access stratum PTN/IPRAN parameter, a rack OLT parameter, and a small OTN parameter. Optionally, the access stratum PTN/IPRAN parameter includes at least one of a number of ports per access stratum PTN/IPRAN, a port utilization rate, a number of ports occupied per PTN/IPRAN, and a power per PTN/IPRAN. Optionally, the rack OLT parameter includes at least one of a board card of each OLT, the number of ports of each board card, a slot utilization rate, a port utilization rate, the number of PON ports of each rack OLT, the number of fully-configured PON ports of each rack OLT, the power of each rack OLT, and the maximum number of access users of each rack OLT. Optionally, the small OTN parameters include a typical number of configured channels and/or a power per OTN. Optionally, the installed condition parameter includes at least one of an air conditioner configuration parameter, a storage battery configuration parameter, and a switching power supply configuration parameter, and the air conditioner configuration parameter includes at least one of an air conditioner cooling capacity, an air conditioner power consumption, and an air conditioner load capacity ratio. Optionally, the storage battery configuration parameter includes at least one of a backup time, a safety factor, a discharge capacity coefficient, an ambient temperature, a battery temperature coefficient, and a storage battery configuration. Optionally, the configuration parameter of the switching power supply includes at least one of a capacity of the rectifying modules, a number of the rectifying modules, a total capacity, a standby of the switching power supply, and an upper limit of a utilization rate of the switching power supply.
Optionally, due to different construction strategies in different regions, user service conditions and other factors, different regions have large differences in certain parameters, and the following variable parameters are set for the model. Optionally, the guest collecting parameters include at least one of current guest collecting permeability, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting service non-circuit renting occupation ratio, number of PON ports occupied by each guest collector, utilization rate of ports of each set of OLT board card, average number of optical splitters of each guest collecting user, splitting ratio of the guest collecting optical splitters and port utilization rate of the guest collecting optical splitters.
Specifically, when determining the service parameters, it is necessary to specify service-related parameters such as 5G/4G/3G/2G, home bandwidth, and customer collection, which is convenient for estimating total requirements of related resources, including user permeability, service type ratio, and the like, and specify network parameters related to engineering construction in each region, such as splitter port configuration, OLT slot position, port configuration, PTN/IPRAN slot position, and port configuration.
And the equipment planning module 203 is used for determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters.
Optionally, the equipment construction scale includes at least one of a 5G DU construction scale, a 4G FDD BBU construction scale, a 4G TD-LTE BBU construction scale, an access PTN/IPRAN equipment construction scale, an OLT equipment construction scale, an OTN equipment construction scale, an integrated access room scheduling ODF construction scale, an integrated access room terminal ODF construction scale, an alarm integrated cabinet construction scale, an air conditioner construction scale, a lighting facility construction scale, a switching power supply construction scale, an ac distribution box construction scale, a first power cabinet construction scale, and a storage battery construction scale. Specifically, the resource demand in the planning period can be calculated by combining the current resource situation and respective use habits of various places, the resource demand is determined by combining the appropriate redundancy of the subsequent development plan, and the equipment installation construction scheme is output.
And the machine room planning module 204 is configured to determine the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule.
Optionally, the building scale of the machine room comprises an external power demand building scale and/or a machine room space area building scale. Specifically, the resource demand of the machine room space, the power supply and the like in the planning period needs to be calculated by combining the equipment installation demand and respective use habits of various places, the resource demand needs to be determined by combining the appropriate redundancy of the subsequent development plan, and the access machine room construction scheme is output.
Therefore, the device described by the embodiment of the invention can determine the equipment construction scale by combining the service requirements and the service parameters, and further determine the machine room construction scale, so that a more accurate and more reasonable machine room construction scale pre-estimation effect can be realized, more comprehensive machine room construction early-stage planning is facilitated, and the efficiency of subsequent machine room construction and the effect of infrastructure construction are improved.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and determining the construction scale of the 5G DU according to the ratio of the coverage area of the access machine room micro grid to the coverage area of the 5G DU.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and determining the construction scale of the BBU equipment for the 4G FDD according to the construction scale of the 5G DU equipment and the ratio of the BBU to the BBU of the 5G FDD.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and determining the building scale of the 4G TD-LTE BBU equipment according to the ratio between the building scale of the 5G DU equipment and the BBU ratio of the 5G TD-LTE.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
a sum of a base station access port requirement and a first requirement of a guest leased port requirement is calculated.
And determining the construction scale of the PTN/IPRAN equipment according to the ratio of the sum of the first requirements to the number of ports occupied by each PTN/IPRAN equipment.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and calculating the sum of the requirement of the home wide PON port and the second requirement of the guest non-circuit leased PON port.
And determining the construction scale of the OLT equipment according to the result of dividing the sum of the second requirements by the number of the typical access users of the OLT equipment.
Alternatively, the number of typical access users of the OLT device may be, for example, 5000.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and calculating the sum of the access bandwidth requirement of the base station and the third requirement of the uplink bandwidth requirement of the OLT equipment.
And determining the construction scale of the OTN equipment according to the result of dividing the sum of the third requirements by the number of the typical configuration ports of the OTN equipment.
Alternatively, the typical configuration port number of the OTN device may be, for example, 16.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
the sum of the distribution cable terminating requirements, the access cable terminating requirements and the 5G/4G correlated core terminating requirements is calculated to determine the scheduled ODF port requirements.
And determining the construction scale of the ODF according to the ratio of the ODF port demand to the typical ODF configuration port number.
Alternatively, the typical configuration port number of an ODF may be, for example, 288.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
and calculating the sum of the PTN/IPRAN end forming requirement, the OLT end forming requirement and the OTN end forming requirement to determine the ODF port requirement of the terminal.
And determining the construction scale of the terminal ODF according to the ratio of the port requirement of the terminal ODF to the number of the typical configured ports of the ODF.
Alternatively, the typical configuration port number of an ODF may be, for example, 288.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
the sum of the wireless device requirements and the transmission device requirements is calculated to determine the alarm port requirements.
And determining the construction scale confirmation of the alarm integrated cabinet according to the ratio of the alarm port requirement to the typical configuration port number of the alarm integrated cabinet.
Alternatively, the number of typical configuration ports of the alarm complex may be, for example, 48.
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
the calculated air conditioning cooling capacity requirement = the power consumption requirement of the wireless device + the power consumption requirement of the transmission device.
And calculating the air conditioner construction scale = air conditioner refrigerating capacity demand/(refrigerating capacity of each air conditioner and air conditioner load capacity ratio).
As an optional implementation manner, the specific manner in which the device planning module 203 determines the device construction scale corresponding to the target area according to the service demand information and the service parameters includes:
calculating the power consumption requirement of the direct current power supply = the power consumption requirement of the wireless device + the power consumption requirement of the transmission device.
And calculating the construction scale of the power cabinets of the column head cabinets = the power consumption requirement of the direct-current power supply/power consumption capacity provided by each column head power cabinet.
As an optional implementation manner, the machine room planning module 204 determines a specific manner of the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule, including;
the total power consumption requirement of the computing equipment = the power consumption requirement of the wireless equipment + the power consumption requirement of the transmission equipment + the power consumption requirement of the corollary equipment; the power consumption requirements of the wireless equipment comprise 5G DU equipment power consumption requirements, FDD BBU equipment power consumption requirements and TD-LTE BBU equipment power consumption requirements; the power consumption requirements of the transmission equipment comprise power consumption requirements of PTN/IPRAN equipment, OLT equipment and OTN equipment; the power consumption requirements of the matched equipment comprise the power consumption requirements of the alarm integrated cabinet equipment, the power consumption requirements of the air conditioning equipment and the power consumption requirements of the lighting facility equipment;
the calculated external power construction scale = total power consumption requirement/90% of the device.
As an optional implementation manner, the machine room planning module 204 determines a specific manner of the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule, including;
the method comprises the following steps that (1) the installed space requirement of computing equipment = the installed space requirement of wireless equipment + the installed space requirement of transmission equipment + the installed space requirement of corollary equipment + the installed space requirement of power supply equipment; the wireless equipment installation space requirements comprise 5G DU equipment installation space requirements, FDD BBU equipment installation space requirements and TD-LTE BBU equipment installation space requirements; the transmission equipment installation space requirement comprises a PTN/IPRAN equipment installation space requirement, an OLT equipment installation space requirement and an OTN equipment installation space requirement; the installation space requirements of the matched equipment comprise installation space requirements of the alarm integrated cabinet equipment, installation space requirements of air conditioning equipment and installation space requirements of lighting facility equipment; the power supply equipment installation space requirement comprises a switch power supply equipment installation space requirement, an alternating current power distribution cabinet equipment installation space requirement, a column head power supply cabinet equipment installation space requirement and a storage battery equipment installation space requirement;
the space area construction requirement of the computer room = the space requirement of the equipment/80%.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of another equipment room planning apparatus based on business requirements according to an embodiment of the present invention. As shown in fig. 3, the apparatus may include:
a memory 301 storing executable program code;
a processor 302 coupled to the memory 301;
the processor 302 calls the executable program code stored in the memory 301 to execute part or all of the steps in the method for planning the computer room based on the service requirement according to the embodiment of the present invention.
Example four
The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing part or all steps of a computer room planning method based on business requirements.
While certain embodiments of the present disclosure have been described above, other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily have to be in the particular order shown or in sequential order to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device, and non-volatile computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and in relation to the description, reference may be made to some portions of the description of the method embodiments.
The apparatus, the device, the nonvolatile computer readable storage medium, and the method provided in the embodiments of the present specification correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should be noted that: the method, the apparatus and the storage medium for planning a machine room based on business requirements disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A machine room planning method based on service demands is characterized by comprising the following steps:
acquiring service demand information of a target area;
determining the service parameters of the target area;
determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters;
determining a machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule; determining a machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule, wherein the machine room construction scale comprises;
the total power consumption requirement of the computing equipment = the power consumption requirement of the wireless equipment + the power consumption requirement of the transmission equipment + the power consumption requirement of the corollary equipment; the wireless equipment power consumption requirements comprise 5G DU equipment power consumption requirements, FDD BBU equipment power consumption requirements and TD-LTE BBU equipment power consumption requirements; the power consumption requirements of the transmission equipment comprise power consumption requirements of PTN/IPRAN equipment, power consumption requirements of OLT equipment and power consumption requirements of OTN equipment; the power consumption requirements of the matched equipment comprise the power consumption requirements of the alarm integrated cabinet equipment, the power consumption requirements of the air conditioning equipment and the power consumption requirements of the lighting facility equipment;
calculating the external power construction scale = the total power consumption requirement/90%;
and/or the presence of a gas in the gas,
the method comprises the following steps that (1) the installed space requirement of computing equipment = the installed space requirement of wireless equipment + the installed space requirement of transmission equipment + the installed space requirement of corollary equipment + the installed space requirement of power supply equipment; the wireless equipment installation space requirements comprise 5G DU equipment installation space requirements, FDD BBU equipment installation space requirements and TD-LTE BBU equipment installation space requirements; the transmission equipment installation space requirement comprises a PTN/IPRAN equipment installation space requirement, an OLT equipment installation space requirement and an OTN equipment installation space requirement; the installation space requirements of the matched equipment comprise installation space requirements of alarm integrated cabinet equipment, installation space requirements of air conditioning equipment and installation space requirements of lighting facility equipment; the installation space requirements of the power supply equipment comprise installation space requirements of the switching power supply equipment, installation space requirements of the alternating-current power distribution cabinet equipment, installation space requirements of the column head power supply cabinet equipment and installation space requirements of the storage battery equipment;
the space area construction requirement of the computer room = the space requirement of the equipment/80%.
2. The method for planning a machine room according to claim 1, wherein the service requirement information includes at least one of basic attributes, wired access requirements, and wireless access requirements; and/or the service parameters comprise fixed parameters and/or variable parameters.
3. The method for planning a machine room according to claim 2, wherein the basic attribute comprises whether a region belongs to an urban region attribute and/or a region area; and/or the wired access demand comprises at least one of the average number of buildings in the whole quantity of the micro grids, the average number of family-wide users in the whole quantity of the micro grids and the average number of users in the whole quantity of the micro grids; and/or the radio access requirements comprise at least one of a 5G coverage radius, an FDD coverage radius, and a TD-LTE coverage radius; and/or the fixed parameters comprise at least one of a home width parameter, a customer collecting parameter, wireless access parameter setting, a device parameter and an installation condition parameter; and/or the variable parameter comprises at least one of home wide permeability after 5 years, home wide optical splitter splitting ratio, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting optical splitter splitting ratio, number of PTN/IPRAN ports of each access layer and number of PON ports of each rack type OLT.
4. The method for planning a machine room according to claim 3, wherein the home width parameter includes at least one of a current home width permeability, a home width permeability after 5 years, a PON port number of the OLT device occupied by each FTTH household, a PON port utilization rate of each set of OLT boards, a number of optical splitters occupied by each FTTH household, a splitting ratio of the home width optical splitters, and a port utilization rate of the home width optical splitters; and/or the guest collecting parameters comprise at least one of current guest collecting permeability, guest collecting permeability after 5 years, guest collecting service circuit renting occupation ratio, guest collecting service non-circuit renting occupation ratio, the number of PON ports occupied by each guest collecting, the utilization rate of each set of OLT board card ports, the average number of optical splitters of each guest collecting user, the splitting ratio of the guest collecting optical splitters and the port utilization rate of the guest collecting optical splitters; and/or the wireless access parameters comprise at least one of BBU centralized deployment, 5G coverage area, FDD coverage area, TD-LTE coverage area, BBU ratio of 5G: FDD and BBU ratio of 5G: TD-LTE; and/or the device parameters comprise at least one of access layer PTN/IPRAN parameters, rack OLT parameters and small OTN parameters; the access layer PTN/IPRAN parameters comprise at least one of the number of ports of each access layer PTN/IPRAN, the port utilization rate, the number of ports occupied by each PTN/IPRAN and the power of each PTN/IPRAN, the rack OLT parameters comprise at least one of a board card of each OLT, the number of ports of each board card, the slot position utilization rate, the port utilization rate, the number of PON ports of each rack OLT, the number of fully-configured PON ports of each rack OLT, the power of each rack OLT and the maximum number of access users of each rack OLT, the small OTN parameters comprise typical configuration channel number and/or each OTN power, and/or the installation condition parameters comprise at least one of air conditioner configuration parameters, storage battery configuration parameters and switch power configuration parameters, the air conditioner configuration parameters comprise at least one of air conditioner cooling capacity, air conditioner power consumption and air conditioner load capacity ratio, the storage battery configuration parameters comprise at least one of backup time, safety factor, discharge capacity coefficient, environment temperature, battery temperature coefficient and storage power supply configuration, and the switching power supply configuration parameters comprise at least one of the capacity of the rectifier modules, the number of the rectifier modules, total capacity, the standby of the switching power supply and the upper limit of the utilization rate of the switching power supply.
5. The method for planning a machine room according to claim 4, wherein the equipment construction scale comprises at least one of a 5G DU construction scale, a 4G FDD BBU construction scale, a 4G TD-LTE BBU construction scale, an access PTN/IPRAN equipment construction scale, an OLT equipment construction scale, an OTN equipment construction scale, an integrated access machine room scheduling ODF construction scale, an integrated access machine room terminal ODF construction scale, an alarm integrated cabinet construction scale, an air conditioner construction scale, a lighting facility construction scale, a switching power supply construction scale, an AC distribution box construction scale, a column head power supply cabinet construction scale and a storage battery construction scale; and/or the machine room construction scale comprises an external power demand construction scale and/or a machine room space area construction scale.
6. The method for planning the machine room according to claim 5, wherein the determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters comprises:
determining the construction scale of the 5G DU according to the ratio of the coverage area of the micro grid of the access machine room to the coverage area of the 5G DU;
and/or the presence of a gas in the gas,
determining the construction scale of the 4G FDD BBU equipment according to the construction scale of the 5G DU equipment and the ratio of the BBU to the BBU of the 5G FDD;
and/or the presence of a gas in the gas,
determining the building scale of 4G TD-LTE BBU equipment according to the ratio between the building scale of 5G DU equipment and the BBU proportion of 5G TD-LTE;
and/or the presence of a gas in the gas,
calculating the sum of the base station access port requirement and a first requirement of the guest circuit renting port requirement;
determining the construction scale of the PTN/IPRAN equipment according to the ratio of the sum of the first requirements to the number of ports occupied by each PTN/IPRAN equipment;
and/or the presence of a gas in the gas,
calculating the sum of the requirement of a home wide PON port and a second requirement of the requirement of a guest non-circuit leased PON port;
determining the construction scale of the OLT equipment according to the result of dividing the sum of the second requirements by the number of typical access users of the OLT equipment;
and/or the presence of a gas in the gas,
calculating the sum of the access bandwidth requirement of the base station and the third requirement of the uplink bandwidth requirement of the OLT equipment;
determining the construction scale of the OTN equipment according to the result of dividing the sum of the third requirements by the number of the typical configuration ports of the OTN equipment;
and/or the presence of a gas in the gas,
calculating the sum of the distribution cable terminating requirement, the access cable terminating requirement and the 5G/4G related fiber core terminating requirement to determine the ODF port scheduling requirement;
determining the construction scale of the ODF according to the ratio of the ODF port demand to the ODF typical configuration port number;
and/or the presence of a gas in the gas,
calculating the sum of PTN/IPRAN end forming requirements, OLT end forming requirements and OTN end forming requirements to determine terminal ODF port requirements;
determining the construction scale of the terminal ODF according to the ratio of the ODF port requirement of the terminal to the typical ODF configuration port number;
and/or the presence of a gas in the gas,
calculating the sum of the wireless device requirements and the transmission device requirements to determine alarm port requirements;
and determining the construction scale confirmation of the alarm integrated cabinet according to the ratio of the alarm port requirement to the typical configuration port number of the alarm integrated cabinet.
7. The method for planning the machine room according to claim 5, wherein the determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters comprises:
calculating the refrigerating capacity demand of the air conditioner = the power consumption demand of the wireless equipment + the power consumption demand of the transmission equipment;
calculating the air conditioner construction scale = air conditioner refrigerating capacity demand/(refrigerating capacity of each air conditioner and air conditioner load capacity ratio);
and/or the presence of a gas in the gas,
calculating the power consumption requirement of a direct current power supply = the power consumption requirement of wireless equipment + the power consumption requirement of transmission equipment;
and calculating the construction scale of the power cabinets of the column head cabinets = the power consumption requirement of the direct-current power supply/power consumption capacity provided by each column head power cabinet.
8. A machine room planning device based on business requirements is characterized in that the device comprises:
the demand acquisition module is used for acquiring service demand information of the target area;
the parameter determining module is used for determining the service parameters of the target area;
the equipment planning module is used for determining the equipment construction scale corresponding to the target area according to the service demand information and the service parameters;
and the machine room planning module is used for determining the machine room construction scale corresponding to the target area according to the equipment construction scale and a preset equipment-machine room construction rule.
9. A machine room planning device based on business requirements is characterized in that the device comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method for planning a machine room based on business requirements according to any one of claims 1 to 7.
10. A computer storage medium storing computer instructions for performing the method of business need based room planning as claimed in any one of claims 1 to 7 when invoked.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115378753A (en) * 2022-08-19 2022-11-22 中国联合网络通信集团有限公司 Building attribution virtual access space identification method, device, equipment and storage medium
CN115619159A (en) * 2022-10-21 2023-01-17 中国通信建设第一工程局有限公司 Intelligent park energy consumption analysis scheduling method and system
WO2024066172A1 (en) * 2022-09-26 2024-04-04 中国移动通信集团设计院有限公司 Configuration method and apparatus for private network integrated apparatus, device, and storage medium
CN115619159B (en) * 2022-10-21 2024-05-24 中国通信建设第一工程局有限公司 Intelligent park energy consumption analysis scheduling method and system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160147012A1 (en) * 2014-11-25 2016-05-26 Yangtze Optical Fibre And Cable Joint Stock Limited Company Bend-insensitive multimode optical fiber
CN109688589A (en) * 2017-10-19 2019-04-26 中国电信股份有限公司 Wireless network capacitance planning method and device
CN109831793A (en) * 2019-03-12 2019-05-31 中国电力科学研究院有限公司 A kind of method and system of the network planning suitable for 230M electric power wireless communication
CN109905881A (en) * 2019-01-09 2019-06-18 中国电力科学研究院有限公司 A kind of method and system determining base station selection scheme based on artificial bee colony algorithm
CN110519365A (en) * 2019-08-26 2019-11-29 网宿科技股份有限公司 A kind of method and business change system changing appliance services
CN111092749A (en) * 2019-11-22 2020-05-01 广东省电信规划设计院有限公司 Region grid division method and device for full service
CN111177839A (en) * 2019-12-31 2020-05-19 河南国立信息科技有限公司 Automatic convergence machine room equipment layout system and generation method
US20210065083A1 (en) * 2019-08-26 2021-03-04 Wangsu Science & Technology Co., Ltd. Method for changing device business and business change system
CN112907110A (en) * 2021-03-17 2021-06-04 广东电网有限责任公司 Computer room data management system, method and computer storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160147012A1 (en) * 2014-11-25 2016-05-26 Yangtze Optical Fibre And Cable Joint Stock Limited Company Bend-insensitive multimode optical fiber
CN109688589A (en) * 2017-10-19 2019-04-26 中国电信股份有限公司 Wireless network capacitance planning method and device
CN109905881A (en) * 2019-01-09 2019-06-18 中国电力科学研究院有限公司 A kind of method and system determining base station selection scheme based on artificial bee colony algorithm
CN109831793A (en) * 2019-03-12 2019-05-31 中国电力科学研究院有限公司 A kind of method and system of the network planning suitable for 230M electric power wireless communication
CN110519365A (en) * 2019-08-26 2019-11-29 网宿科技股份有限公司 A kind of method and business change system changing appliance services
US20210065083A1 (en) * 2019-08-26 2021-03-04 Wangsu Science & Technology Co., Ltd. Method for changing device business and business change system
CN111092749A (en) * 2019-11-22 2020-05-01 广东省电信规划设计院有限公司 Region grid division method and device for full service
CN111177839A (en) * 2019-12-31 2020-05-19 河南国立信息科技有限公司 Automatic convergence machine room equipment layout system and generation method
CN112907110A (en) * 2021-03-17 2021-06-04 广东电网有限责任公司 Computer room data management system, method and computer storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谭丹等: "全业务综合接入机房规划方案探讨", 《物联网技术》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115378753A (en) * 2022-08-19 2022-11-22 中国联合网络通信集团有限公司 Building attribution virtual access space identification method, device, equipment and storage medium
CN115378753B (en) * 2022-08-19 2023-11-28 中国联合网络通信集团有限公司 Building attribution virtual access room identification method, device, equipment and storage medium
WO2024066172A1 (en) * 2022-09-26 2024-04-04 中国移动通信集团设计院有限公司 Configuration method and apparatus for private network integrated apparatus, device, and storage medium
CN115619159A (en) * 2022-10-21 2023-01-17 中国通信建设第一工程局有限公司 Intelligent park energy consumption analysis scheduling method and system
CN115619159B (en) * 2022-10-21 2024-05-24 中国通信建设第一工程局有限公司 Intelligent park energy consumption analysis scheduling method and system

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